# Bee by HEOSSI - The Progressive Quantum-Native Intelligence Engine (full corpus) > Bee by HEOSSI - The Progressive Quantum-Native Intelligence Engine. A specialist-intelligence platform uniting BSIS, multimodal AI, post-quantum assurance, and governed real-quantum-hardware execution for enterprise and high-assurance work. Bee is HEOSSI's specialist AI platform integrating the Bee Specialist Intelligence System, post-quantum assurance paths, and explicit governed access to real quantum hardware. It is built by HEOSSI (Pte.) Ltd., a Singapore-incorporated company (UEN 202532790K). Six production tiers form the Intelligence Ladder (Cell → Brood → Comb → Buzz → Hive → Swarm), covering public access, professional reasoning, builder workflows, team operations, enterprise specialist intelligence, and high-assurance reasoning. Enclave adds private, regulated, and sovereign deployment. BSIS combines Bee's governed 66-family specialist architecture, research, retrieval, tools, evaluations, safety, routing, and release control. Post-quantum cryptography (FIPS 203/204/205) supports signed evidence and Enclave Sovereign security paths; Bee's governed real-QPU execution architecture is progressing through its production activation gates. > BSIS specialist intelligence, post-quantum assurance, multimodal workflows, > and governed real-QPU execution architecture in one Bee platform. The short index > lives at https://bee.heossi.com/llms.txt; this document is the expanded companion corpus. Categories: artificial intelligence (AI) · machine learning · natural language processing (NLP) · deep learning · large language models (LLM) · foundation models · generative AI · conversational AI / AI assistants · agentic systems · multimodal intelligence · reasoning · AI as a Service (AIaaS) · the Intelligence Ladder · routing fabric. Capabilities: domain-specialized intelligence (an accumulative ladder reaching 66 specialist domain families) · conversational AI chat · agentic coding & tool calling · code explanation, refactoring & test generation · retrieval-augmented generation (RAG) · document Q&A over your own files · vector-based semantic search · web search-grounded research answers · semantic memory · vision (image & video understanding) · structured output (JSON mode) · long context up to 1M tokens · speech-to-text & text-to-speech · voice AI & transcription · image generation · AI-generated artifacts · autonomous scheduled tasks · team workspaces & collaboration · usage analytics & spend controls · OpenAI-compatible API · Model Context Protocol (MCP) server · editor integrations. Assurance: post-quantum cryptography (NIST FIPS 203/204/205 - ML-KEM, ML-DSA, SLH-DSA) · TLS 1.3 with hybrid post-quantum key exchange in transit · AES-256-GCM encryption at rest · cryptographically verifiable agent provenance · cryptographically signed inference receipts · passkey (WebAuthn / FIDO2) sign-in · audit-logged serving-policy decisions · role-based team access · quantum reasoning with managed QPU access & BYOPA · PQC and real-quantum-hardware integration within one governed AI architecture · eval-gated releases · governed sovereign deployment (Enclave). Market categories (verified 2026-07-22): Artificial Intelligence Software · Generative AI · Large Language Models · AI Platforms · Conversational AI / AI Assistants · AI Agents / Agentic AI · AI Agent Development Platforms · AI Coding Assistants / AI Code Generation · AI Software Development Kits (AI SDKs) · AI Search & Retrieval Infrastructure (RAG) · Multimodal AI · Speech Recognition (Speech-to-Text & Text-to-Speech) · AI Image Generation · Machine Learning & MLOps · AI Productivity & Team AI Workspace · MCP Servers · AI Governance / AI TRiSM · AI Agent Observability · Enterprise AI / Private AI / Sovereign AI · Post-Quantum Cryptography-secured Software / Quantum-safe Security · Quantum Computing Services / Quantum-as-a-Service · Developer Tools · Productivity · SaaS / Cloud Software. ## Canonical quantum-native identity Bee is HEOSSI's specialist AI platform integrating the Bee Specialist Intelligence System, post-quantum assurance paths, and explicit governed access to real quantum hardware. HEOSSI believes Bee may be the first specialist AI platform to combine independently governed post-quantum assurance paths and explicit real-quantum-hardware execution within one product architecture. This is a dated, evidence-bounded positioning statement, not an absolute claim that every AI request uses quantum hardware. Canonical evidence and claim methodology: https://bee.heossi.com/quantum-native-ai ## Tier ladder - **Bee Cell** - Fast, fine-tuned AI - free to start. - **Bee Brood** - Cost-efficient reasoning - thinks before it answers. - **Bee Comb** - Workstation-grade AI for serious builders. - **Bee Buzz** - Agent and builder workhorse - tools, planning, longer chains. - **Bee Hive** - Shared team AI without frontier-model cost. - **Bee Swarm** - Premium reasoning at cloud scale. ## Current Bee release lines - **Bee Cell** - Bee Cell controlled model release (HEOSSI release controls). - **Bee Brood** - Bee Brood controlled model release (HEOSSI release controls). - **Bee Comb** - Bee Comb controlled model release (HEOSSI release controls). - **Bee Buzz** - Bee Buzz controlled model release (HEOSSI release controls). - **Bee Hive** - Bee Hive controlled model release (HEOSSI release controls). - **Bee Swarm** - Bee-governed multi-lane fabric (Provider lineage disclosed by routed lane). Cell through Hive are self-hosted by HEOSSI. Bee Ignite is the separate active from-scratch foundation programme inside BSIS; it has no released checkpoint. Bee's hosted inference is operated by HEOSSI. Its serving configuration, governance, safety enforcement, routing, retrieval, tools, evaluations, and release controls are designed, implemented, and operated by HEOSSI through the Bee Specialist Intelligence System (BSIS). ## Tier & release status (derived from the live-verified capability SSOT) - **All tiers serve on governed, pinned base models or routing releases** - Cell → Hive are production-deployed with scale-to-zero serving; Swarm is Bee's governed multi-lane routing fabric. Cell is the free entry tier, not an always-warm GPU. Public foundation-family lineage is disclosed on /models; exact revisions remain governed deployment records. - **Domain adapters are eval-gated and released through the governed pipeline** - none merged into production routing yet, so tiers serve base-equivalent today. Each released adapter ships with a published validation record at /trust. - **Bee Enclave** - a private / auditable / sovereign deployment mode for any Hive/Swarm-class workload, not a larger model tier. - **Bee Ignite** - HEOSSI's active from-scratch specialist foundation-model programme inside BSIS. It is not customer-selectable or sold, and no Ignite checkpoint has been released. ## What is live (derived from the capability SSOT) - **OpenAI-compatible API** - drop-in `/chat/completions`; switch the base URL and key. - **Free Cell tier** - hosted access, no card, 128K-token context window. - **Vision (image input)** - Cell, Brood, Comb, Buzz, Hive, Swarm. - **Video input** - Brood, Comb, Buzz, Hive. - **Tool / function calling** - Cell, Brood, Comb, Buzz, Hive. - **JSON mode (structured output)** - Comb, Buzz, Hive. - **1M-token long context** - Comb, Buzz, Swarm (Comb and Buzz via a dedicated long-context mode; Swarm natively). Cell remains at 128K; Brood and Hive remain at 256K. - **RAG (retrieval)** - document upload → chunk → embed → index → cite-back, per-tenant isolation. - **MCP server** - `bee-mcp` (ships with the Python SDK), hosted gateway, listed on the official MCP Registry as io.github.heossihq/bee-public. - **Quantum products** - customer-local simulation is free; Bee Simulation Cloud, Bee Managed QPU, and Bee BYOPA - Managed require a purchased entitlement and governed Lab job. The raw hardware endpoint is retired, hosted spend defaults off, and ordinary chat never routes through a QPU. - **Post-quantum cryptography** - FIPS 203 (ML-KEM), 204 (ML-DSA), 205 (SLH-DSA) on Bee Enclave Sovereign customer transport; the signed PQ coverage register is at https://bee.heossi.com/trust. - **Verifiable agent provenance** - any agentic client sending a session id is sealed turn-by-turn into a per-session ML-DSA-65 (FIPS 204) hash chain; verify what the agent did at GET https://api.bee.heossi.com/bee/provenance/:session_id. Only cryptographic digests are stored - your code never leaves in the record. ## Capability matrix (from the live-verified capability SSOT, verified 2026-07-14) Per-tier status across the six serving tiers (cell · brood · comb · buzz · hive · swarm): - Text chat & completions: cell live · brood live · comb live · buzz live · hive live · swarm live - Vision (image input): cell live · brood live · comb live · buzz live · hive live · swarm live - Video input: cell - · brood live · comb live · buzz live · hive live · swarm - - 1M-token long context: cell - · brood - · comb live · buzz live · hive - · swarm live - Tool / function calling: cell live · brood live · comb live · buzz live · hive live · swarm - - JSON mode (structured output): cell - · brood - · comb live · buzz live · hive live · swarm - - Audio transcription (speech-to-text): cell live · brood live · comb live · buzz live · hive live · swarm live - Speech output (text-to-speech): cell live · brood live · comb live · buzz live · hive live · swarm live - Image generation: live - Video generation: not yet active Statuses: "live" = serving in production today (directly or via an external provider); "not yet active" = built but not yet enabled; "-" = not offered on that tier. ## Pricing summary Source of truth: the billing catalog. Every figure below is derived at request time - never hardcoded here. Annual is monthly × 12 (no annual discount). - Bee Cell - Free. Free hosted tier to start. 500K included tokens. - Bee Brood - $30/mo. 5M tokens. Cell and Brood model access. - Bee Comb - $150/mo. 3 seats. 10M tokens. Cell-through-Comb access with native multimodal input, tool calling, JSON mode, and optional 1M long-context routing. - Bee Buzz - $400/mo. 6 seats. 25M tokens. Cell-through-Buzz access and shared RAG. - Bee Hive - $1,000/mo. 10 seats. 50M tokens. Cell-through-Hive access with high-capability multimodal serving, tool calling, JSON mode, and quantum-reasoning eligibility. - Bee Swarm - $4,000/mo. 25 seats. 250M tokens. Full Cell-through-Swarm access and a governed premium routing fabric with 1M-context capability; no domain adapter is active today. - Bee Pollen (API) - $0. 500K tokens / month. Hard-limited. Protected by TLS 1.3 in transit. - Bee Nectar (API) - Pay as you go. $0.30/1M input · $1.20/1M output. Cell + Brood standard; stronger models use Flex. - Bee Honey (API) - $1,500/mo base + metered usage at the same per-model rates. Dedicated CSM. - Bee Propolis (API) - $3,000/mo base + metered usage. Cell through Hive standard; Swarm uses Flex. - Bee Royal Jelly (API) - Contracted rate card, dedicated endpoint, sovereign boundary. - Bee Regulated Cloud - from $5,000/mo. Multi-tenant regulated deployment. - Bee Enclave Private Cloud - from $15,000/mo. Single-tenant VPC. - Bee Enclave Regulated - from $30,000/mo. Customer-managed keys. - Bee Enclave Sovereign - from $75,000/mo. Customer-scoped sovereign controls; broader air-gapped operation remains roadmap. Exact alignment and evidence are fixed in the deployment manifest + NDA. ## Pages ### [Homepage](https://bee.heossi.com/) (updated 2026-07-29) Bee by HEOSSI unites the Bee Specialist Intelligence System, multimodal AI, post-quantum assurance, and governed real-quantum-hardware execution for specialist, enterprise, regulated, sovereign, and mission-critical work. ### [Models](https://bee.heossi.com/models) (updated 2026-07-29) The Bee model lineup: six controlled production tiers, Enclave private deployment, and the active Bee Ignite from-scratch foundation programme with no released checkpoint. Context windows run from 128K to 1M. ### [Platform](https://bee.heossi.com/platform) (updated 2026-07-29) The Bee AI platform: reference architecture, request lifecycle, capability-status register, workspace, OpenAI-compatible API, built-in RAG, hosted MCP server, editor integrations, governed eval-gated releases, and deployment control. ### [Bee Enclave](https://bee.heossi.com/enclave) (updated 2026-07-29) Bee Enclave is the customer-scoped deployment mode for private, regulated, and sovereign Hive- and Swarm-class workloads. The page compares tenancy, infrastructure, key control, network boundaries, governance, and availability without presenting broader self-hosted or air-gapped operation as generally available. ### [Quantum](https://bee.heossi.com/quantum) (updated 2026-07-31) Bee provides a governed bridge from specialist intelligence to quantum computation through local simulation, explicit metered real-QPU execution architecture, and customer-controlled provider connections. Production activation remains in progress; chat never routes through quantum implicitly. ### [Quantum-native AI evidence](https://bee.heossi.com/quantum-native-ai) (updated 2026-07-31) Bee is HEOSSI's specialist AI platform integrating the Bee Specialist Intelligence System, post-quantum assurance paths, and explicit governed access to real quantum hardware. HEOSSI believes Bee may be the first specialist AI platform to combine independently governed post-quantum assurance paths and explicit real-quantum-hardware execution within one product architecture. This is a dated, evidence-bounded positioning statement, not an absolute claim that every AI request uses quantum hardware. The page separates live post-quantum evidence, integrated real-QPU architecture, activation gates, and the limits of the category claim. ### [Pricing](https://bee.heossi.com/pricing) (updated 2026-07-29) Three tracks: Individual & Teams workspace plans (free Cell tier upward), an OpenAI-compatible API with per-token pay-as-you-go pricing and no volume discounts, and Enclave enterprise deployment (private cloud, regulated, sovereign). ### [Download](https://bee.heossi.com/download) (updated 2026-07-14) Bee on every surface: browser workspace, native Android app, macOS (Apple Silicon) desktop preview, and the hosted Bee MCP server for Claude Desktop, Cursor, Windsurf, Zed, and other MCP clients. ### [API docs](https://bee.heossi.com/docs) (updated 2026-07-14) Quickstart for the OpenAI-compatible Chat Completions API: authentication, chat completions, models, RAG (retrieval), quantum jobs, streaming, errors, and rate limits. ### [MCP server docs](https://bee.heossi.com/docs/mcp) (updated 2026-07-14) The Bee MCP server (bee-mcp, ships with the Python SDK) connects Bee to Claude Desktop, Claude Code, Cursor, VS Code, Zed, Windsurf, and OpenCode. Fourteen governed tools span intelligence, code, security, research, provenance, usage, documents, memory, and Quantum Reasoning Lab over a hosted gateway; free-tier keys work. Listed on the official MCP Registry as io.github.heossihq/bee-public. ### [SDK docs](https://bee.heossi.com/docs/sdks) (updated 2026-07-14) Official TypeScript (@heossihq/bee on npm) and Python (bee-sdk on PyPI) clients for the OpenAI-compatible API, plus the OpenAPI 3.1 contract, Postman collection, and a plain curl quickstart. ### [Changelog](https://bee.heossi.com/changelog) (updated 2026-07-14) Public release notes: model releases, platform features, and security bulletins. ### [Roadmap](https://bee.heossi.com/roadmap) (updated 2026-07-29) What's shipped, in flight, and next - stages with explicit exit criteria measured against the Bee Security Eval Harness. ### [Status](https://bee.heossi.com/status) (updated 2026-07-23) Live platform health: backend liveness and round-trip latency polled every 15 seconds. ### [About](https://bee.heossi.com/about) (updated 2026-07-14) Bee is built by HEOSSI (Pte.) Ltd., a Singapore-incorporated company (UEN 202532790K). ### [Contact](https://bee.heossi.com/contact) (updated 2026-07-14) One form routed to specialist inboxes - sales, support, security, billing, privacy, legal, abuse, DMCA, partnerships, press, careers - each with a published response-time SLA. ### [TrustHub](https://bee.heossi.com/trust) (updated 2026-07-29) Bee's central security, compliance, privacy, AI-governance, verification, and assurance-document centre, including the post-quantum coverage register signed with ML-DSA (FIPS 204) and continuously verified probes. ### [Register verification keys](https://bee.heossi.com/trust/keys) (updated 2026-07-14) The public ML-DSA keys that sign the post-quantum coverage register, with fingerprints pinned across independent surfaces so anyone can verify register signatures. ### [Legal](https://bee.heossi.com/legal) (updated 2026-07-29) Terms of Service, Regional Terms & Mandatory Rights, Privacy Policy, Data Processing Addendum and SCC annexes, Model Improvement & Data Use, Developer & API Terms, Content Moderation and Appeals, Model Governance/Training Sources/Copyright, Acceptable Use, Security, Cookies, AI Transparency, Accessibility, Copyright/DMCA, Government Requests, and program terms. ### [Partner Program](https://bee.heossi.com/partners) (updated 2026-07-14) Partnership lanes for integrators, resellers, MSPs, consultancies, cloud platforms, and product teams shipping on Bee. ### [VC Partner Program](https://bee.heossi.com/vc-partners) (updated 2026-07-14) Partnerships with venture capital firms so portfolio founders can build on Bee. ### [Bee for Startups](https://bee.heossi.com/startups) (updated 2026-07-14) Up to $25,000 in Bee credits, architecture review, and direct technical support for accepted AI-native startups. ## Solutions, industries, use cases, and buyer comparisons The following registry-driven pages describe shipped capabilities, applicable limits, and buyer context. They do not assert fabricated customers, outcomes, certifications, or competitor facts. ### [Solutions](https://bee.heossi.com/solutions) Bee solutions: team AI workspace, private LLM API, OpenAI-compatible endpoints, post-quantum security, 1M-token long context, and document intelligence. ### [One AI workspace for the whole team](https://bee.heossi.com/solutions/team-ai-workspace) A team AI workspace with seats, pooled tokens, shared document retrieval, and Stripe billing. Plans from a free tier to 25-seat deployments with uptime SLAs. ### [A private LLM API your security team can sign off on](https://bee.heossi.com/solutions/private-llm-api) A private LLM API with tenant isolation, contractual data controls, and customer-scoped private and sovereign deployment designs. Broader air-gapped operation remains roadmap. ### [OpenAI-compatible, down to the wire format](https://bee.heossi.com/solutions/openai-compatible-api) Bee serves the OpenAI Chat Completions wire format: streaming, tool calling, JSON mode, and vision. Point your existing SDK at a new base URL and keep shipping. ### [AI infrastructure that plans for the cryptography deadline](https://bee.heossi.com/solutions/post-quantum-ai) Bee pairs a governed multimodal intelligence platform with NIST-finalized post-quantum cryptography: ML-KEM key exchange, ML-DSA and SLH-DSA signatures for explicit high-assurance paths. ### [A context window measured in codebases, not pages](https://bee.heossi.com/solutions/long-context-llm) Bee serves a 1M-token context window on Comb and Buzz, with Swarm at 1M natively and 256K native on every paid tier. Load whole codebases and document sets in one request. ### [From uploaded files to cited answers](https://bee.heossi.com/solutions/ai-document-intelligence) Upload documents and get cited answers: Bee's retrieval pipeline chunks, embeds, indexes, and cites. Image and video input on Comb, Buzz, and Hive extend it beyond text. ### [Industries](https://bee.heossi.com/industries) How financial services, healthcare, legal, government, engineering, and research organisations deploy Bee - with the compliance posture and domain gating stated honestly. ### [AI infrastructure built for financial-grade scrutiny](https://bee.heossi.com/industries/financial-services) LLM infrastructure for banks, fintechs, and asset managers: structured extraction, cited retrieval, regulated deployment options, and post-quantum transport for long-lived data. ### [Healthcare AI with the gates stated up front](https://bee.heossi.com/industries/healthcare) How healthcare organisations use Bee: document and administrative workloads, HIPAA-postured Enclave deployment, PDPA/GDPR data handling - with honest Tier-3 domain gating. ### [Read every page, cite every claim](https://bee.heossi.com/industries/legal) Legal document analysis on Bee: cited retrieval, 1M-token context for whole agreement sets, JSON extraction of terms, and confidentiality commitments written into the contract. ### [Sovereign AI without the trust-us clause](https://bee.heossi.com/industries/government-defense) Customer-scoped sovereign AI designs for public-sector and defense environments, with contractual key, locality, operator, and post-quantum transport controls. Air-gapped operation remains roadmap. ### [AI infrastructure engineers don't have to fight](https://bee.heossi.com/industries/software-engineering) Bee for engineering orgs: OpenAI-compatible API in every editor, tool calling for CI and code automation, 1M-token context for monorepos, and team plans with pooled tokens. ### [Research tooling that respects sources](https://bee.heossi.com/industries/education-research) Bee for universities and research groups: a free tier to start, 1M-token context for literature analysis, cited retrieval over corpora, and opt-in quantum computing access. ### [Use cases](https://bee.heossi.com/use-cases) Explore 100 distinct Bee evaluation scenarios across 20 operating environments, grounded in real records, accountable decisions, governed agents, multimodal evidence, and complete-history reconciliation. ### [Answer questions across loan covenants and amendments with traceable citations](https://bee.heossi.com/use-cases/banking-capital-markets-cited-knowledge) How can reviewers retrieve a current answer from loan covenants and amendments without losing the source passage or document version? ### [Turn KYC exception files into a reviewable structured decision queue](https://bee.heossi.com/use-cases/banking-capital-markets-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from KYC exception files before an accountable reviewer decides? ### [Operate a bounded agent over trade-surveillance alerts without surrendering approval](https://bee.heossi.com/use-cases/banking-capital-markets-bounded-agent) Which steps around trade-surveillance alerts may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside model-validation packs](https://bee.heossi.com/use-cases/banking-capital-markets-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with model-validation packs while retaining the original evidence and reviewer context? ### [Reconcile the complete history of incident and control evidence before acting](https://bee.heossi.com/use-cases/banking-capital-markets-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of incident and control evidence is considered together? ### [Answer questions across policy wordings and endorsements with traceable citations](https://bee.heossi.com/use-cases/insurance-cited-knowledge) How can reviewers retrieve a current answer from policy wordings and endorsements without losing the source passage or document version? ### [Turn claims intake queues into a reviewable structured decision queue](https://bee.heossi.com/use-cases/insurance-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from claims intake queues before an accountable reviewer decides? ### [Operate a bounded agent over fraud investigation files without surrendering approval](https://bee.heossi.com/use-cases/insurance-bounded-agent) Which steps around fraud investigation files may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside actuarial assumption histories](https://bee.heossi.com/use-cases/insurance-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with actuarial assumption histories while retaining the original evidence and reviewer context? ### [Reconcile the complete history of litigation chronologies before acting](https://bee.heossi.com/use-cases/insurance-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of litigation chronologies is considered together? ### [Answer questions across clinical policy libraries with traceable citations](https://bee.heossi.com/use-cases/healthcare-cited-knowledge) How can reviewers retrieve a current answer from clinical policy libraries without losing the source passage or document version? ### [Turn prior-authorisation packets into a reviewable structured decision queue](https://bee.heossi.com/use-cases/healthcare-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from prior-authorisation packets before an accountable reviewer decides? ### [Operate a bounded agent over care-transition records without surrendering approval](https://bee.heossi.com/use-cases/healthcare-bounded-agent) Which steps around care-transition records may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside privacy-impact assessments](https://bee.heossi.com/use-cases/healthcare-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with privacy-impact assessments while retaining the original evidence and reviewer context? ### [Reconcile the complete history of quality and safety investigations before acting](https://bee.heossi.com/use-cases/healthcare-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of quality and safety investigations is considered together? ### [Answer questions across trial protocols and amendments with traceable citations](https://bee.heossi.com/use-cases/life-sciences-cited-knowledge) How can reviewers retrieve a current answer from trial protocols and amendments without losing the source passage or document version? ### [Turn regulatory submission dossiers into a reviewable structured decision queue](https://bee.heossi.com/use-cases/life-sciences-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from regulatory submission dossiers before an accountable reviewer decides? ### [Operate a bounded agent over adverse-event narratives without surrendering approval](https://bee.heossi.com/use-cases/life-sciences-bounded-agent) Which steps around adverse-event narratives may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside batch deviation investigations](https://bee.heossi.com/use-cases/life-sciences-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with batch deviation investigations while retaining the original evidence and reviewer context? ### [Reconcile the complete history of research notebooks and analyses before acting](https://bee.heossi.com/use-cases/life-sciences-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of research notebooks and analyses is considered together? ### [Answer questions across discovery productions with traceable citations](https://bee.heossi.com/use-cases/legal-cited-knowledge) How can reviewers retrieve a current answer from discovery productions without losing the source passage or document version? ### [Turn contract negotiation histories into a reviewable structured decision queue](https://bee.heossi.com/use-cases/legal-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from contract negotiation histories before an accountable reviewer decides? ### [Operate a bounded agent over precedent and opinion libraries without surrendering approval](https://bee.heossi.com/use-cases/legal-bounded-agent) Which steps around precedent and opinion libraries may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside matter intake and routing](https://bee.heossi.com/use-cases/legal-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with matter intake and routing while retaining the original evidence and reviewer context? ### [Reconcile the complete history of regulatory change assessments before acting](https://bee.heossi.com/use-cases/legal-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of regulatory change assessments is considered together? ### [Answer questions across audit workpapers with traceable citations](https://bee.heossi.com/use-cases/accounting-audit-cited-knowledge) How can reviewers retrieve a current answer from audit workpapers without losing the source passage or document version? ### [Turn month-end reconciliations into a reviewable structured decision queue](https://bee.heossi.com/use-cases/accounting-audit-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from month-end reconciliations before an accountable reviewer decides? ### [Operate a bounded agent over tax research files without surrendering approval](https://bee.heossi.com/use-cases/accounting-audit-bounded-agent) Which steps around tax research files may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside forensic transaction sets](https://bee.heossi.com/use-cases/accounting-audit-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with forensic transaction sets while retaining the original evidence and reviewer context? ### [Reconcile the complete history of inspection findings and remediation before acting](https://bee.heossi.com/use-cases/accounting-audit-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of inspection findings and remediation is considered together? ### [Answer questions across consultation submissions with traceable citations](https://bee.heossi.com/use-cases/government-cited-knowledge) How can reviewers retrieve a current answer from consultation submissions without losing the source passage or document version? ### [Turn citizen correspondence queues into a reviewable structured decision queue](https://bee.heossi.com/use-cases/government-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from citizen correspondence queues before an accountable reviewer decides? ### [Operate a bounded agent over tender evaluation records without surrendering approval](https://bee.heossi.com/use-cases/government-bounded-agent) Which steps around tender evaluation records may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside public-record archives](https://bee.heossi.com/use-cases/government-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with public-record archives while retaining the original evidence and reviewer context? ### [Reconcile the complete history of programme review evidence before acting](https://bee.heossi.com/use-cases/government-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of programme review evidence is considered together? ### [Answer questions across mission briefing corpora with traceable citations](https://bee.heossi.com/use-cases/defense-cited-knowledge) How can reviewers retrieve a current answer from mission briefing corpora without losing the source passage or document version? ### [Turn multi-source intelligence reports into a reviewable structured decision queue](https://bee.heossi.com/use-cases/defense-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from multi-source intelligence reports before an accountable reviewer decides? ### [Operate a bounded agent over supplier technical submissions without surrendering approval](https://bee.heossi.com/use-cases/defense-bounded-agent) Which steps around supplier technical submissions may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside readiness and sustainment records](https://bee.heossi.com/use-cases/defense-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with readiness and sustainment records while retaining the original evidence and reviewer context? ### [Reconcile the complete history of security accreditation evidence before acting](https://bee.heossi.com/use-cases/defense-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of security accreditation evidence is considered together? ### [Answer questions across repository-wide change analysis with traceable citations](https://bee.heossi.com/use-cases/software-engineering-cited-knowledge) How can reviewers retrieve a current answer from repository-wide change analysis without losing the source passage or document version? ### [Turn dependency upgrade queues into a reviewable structured decision queue](https://bee.heossi.com/use-cases/software-engineering-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from dependency upgrade queues before an accountable reviewer decides? ### [Operate a bounded agent over security finding remediation without surrendering approval](https://bee.heossi.com/use-cases/software-engineering-bounded-agent) Which steps around security finding remediation may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside release-readiness evidence](https://bee.heossi.com/use-cases/software-engineering-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with release-readiness evidence while retaining the original evidence and reviewer context? ### [Reconcile the complete history of architecture decision histories before acting](https://bee.heossi.com/use-cases/software-engineering-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of architecture decision histories is considered together? ### [Answer questions across alert investigation queues with traceable citations](https://bee.heossi.com/use-cases/cybersecurity-cited-knowledge) How can reviewers retrieve a current answer from alert investigation queues without losing the source passage or document version? ### [Turn incident timelines into a reviewable structured decision queue](https://bee.heossi.com/use-cases/cybersecurity-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from incident timelines before an accountable reviewer decides? ### [Operate a bounded agent over threat-report corpora without surrendering approval](https://bee.heossi.com/use-cases/cybersecurity-bounded-agent) Which steps around threat-report corpora may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside privileged-access reviews](https://bee.heossi.com/use-cases/cybersecurity-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with privileged-access reviews while retaining the original evidence and reviewer context? ### [Reconcile the complete history of detection rule backlogs before acting](https://bee.heossi.com/use-cases/cybersecurity-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of detection rule backlogs is considered together? ### [Answer questions across machine manuals and service bulletins with traceable citations](https://bee.heossi.com/use-cases/manufacturing-cited-knowledge) How can reviewers retrieve a current answer from machine manuals and service bulletins without losing the source passage or document version? ### [Turn non-conformance reports into a reviewable structured decision queue](https://bee.heossi.com/use-cases/manufacturing-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from non-conformance reports before an accountable reviewer decides? ### [Operate a bounded agent over maintenance work orders without surrendering approval](https://bee.heossi.com/use-cases/manufacturing-bounded-agent) Which steps around maintenance work orders may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside supplier quality records](https://bee.heossi.com/use-cases/manufacturing-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with supplier quality records while retaining the original evidence and reviewer context? ### [Reconcile the complete history of safety incident evidence before acting](https://bee.heossi.com/use-cases/manufacturing-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of safety incident evidence is considered together? ### [Answer questions across operating procedures and switching orders with traceable citations](https://bee.heossi.com/use-cases/energy-utilities-cited-knowledge) How can reviewers retrieve a current answer from operating procedures and switching orders without losing the source passage or document version? ### [Turn field inspection records into a reviewable structured decision queue](https://bee.heossi.com/use-cases/energy-utilities-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from field inspection records before an accountable reviewer decides? ### [Operate a bounded agent over asset failure histories without surrendering approval](https://bee.heossi.com/use-cases/energy-utilities-bounded-agent) Which steps around asset failure histories may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside reliability filings](https://bee.heossi.com/use-cases/energy-utilities-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with reliability filings while retaining the original evidence and reviewer context? ### [Reconcile the complete history of storm response logs before acting](https://bee.heossi.com/use-cases/energy-utilities-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of storm response logs is considered together? ### [Answer questions across network change histories with traceable citations](https://bee.heossi.com/use-cases/telecommunications-cited-knowledge) How can reviewers retrieve a current answer from network change histories without losing the source passage or document version? ### [Turn fault and alarm streams into a reviewable structured decision queue](https://bee.heossi.com/use-cases/telecommunications-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from fault and alarm streams before an accountable reviewer decides? ### [Operate a bounded agent over product requirement corpora without surrendering approval](https://bee.heossi.com/use-cases/telecommunications-bounded-agent) Which steps around product requirement corpora may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside subscriber-data assessments](https://bee.heossi.com/use-cases/telecommunications-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with subscriber-data assessments while retaining the original evidence and reviewer context? ### [Reconcile the complete history of vendor release evidence before acting](https://bee.heossi.com/use-cases/telecommunications-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of vendor release evidence is considered together? ### [Answer questions across product catalogue evidence with traceable citations](https://bee.heossi.com/use-cases/retail-ecommerce-cited-knowledge) How can reviewers retrieve a current answer from product catalogue evidence without losing the source passage or document version? ### [Turn customer support conversations into a reviewable structured decision queue](https://bee.heossi.com/use-cases/retail-ecommerce-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from customer support conversations before an accountable reviewer decides? ### [Operate a bounded agent over payment fraud cases without surrendering approval](https://bee.heossi.com/use-cases/retail-ecommerce-bounded-agent) Which steps around payment fraud cases may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside seller-risk reviews](https://bee.heossi.com/use-cases/retail-ecommerce-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with seller-risk reviews while retaining the original evidence and reviewer context? ### [Reconcile the complete history of store incident media before acting](https://bee.heossi.com/use-cases/retail-ecommerce-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of store incident media is considered together? ### [Answer questions across shipment exception records with traceable citations](https://bee.heossi.com/use-cases/logistics-supply-chain-cited-knowledge) How can reviewers retrieve a current answer from shipment exception records without losing the source passage or document version? ### [Turn customs document packets into a reviewable structured decision queue](https://bee.heossi.com/use-cases/logistics-supply-chain-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from customs document packets before an accountable reviewer decides? ### [Operate a bounded agent over warehouse discrepancy logs without surrendering approval](https://bee.heossi.com/use-cases/logistics-supply-chain-bounded-agent) Which steps around warehouse discrepancy logs may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside supplier continuity assessments](https://bee.heossi.com/use-cases/logistics-supply-chain-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with supplier continuity assessments while retaining the original evidence and reviewer context? ### [Reconcile the complete history of cargo damage evidence before acting](https://bee.heossi.com/use-cases/logistics-supply-chain-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of cargo damage evidence is considered together? ### [Answer questions across reporting source packs with traceable citations](https://bee.heossi.com/use-cases/media-publishing-cited-knowledge) How can reviewers retrieve a current answer from reporting source packs without losing the source passage or document version? ### [Turn licensing and rights files into a reviewable structured decision queue](https://bee.heossi.com/use-cases/media-publishing-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from licensing and rights files before an accountable reviewer decides? ### [Operate a bounded agent over video production archives without surrendering approval](https://bee.heossi.com/use-cases/media-publishing-bounded-agent) Which steps around video production archives may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside moderation appeals](https://bee.heossi.com/use-cases/media-publishing-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with moderation appeals while retaining the original evidence and reviewer context? ### [Reconcile the complete history of correction and standards histories before acting](https://bee.heossi.com/use-cases/media-publishing-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of correction and standards histories is considered together? ### [Answer questions across course and assessment corpora with traceable citations](https://bee.heossi.com/use-cases/education-research-cited-knowledge) How can reviewers retrieve a current answer from course and assessment corpora without losing the source passage or document version? ### [Turn grant application portfolios into a reviewable structured decision queue](https://bee.heossi.com/use-cases/education-research-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from grant application portfolios before an accountable reviewer decides? ### [Operate a bounded agent over student support records without surrendering approval](https://bee.heossi.com/use-cases/education-research-bounded-agent) Which steps around student support records may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside institutional research collections](https://bee.heossi.com/use-cases/education-research-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with institutional research collections while retaining the original evidence and reviewer context? ### [Reconcile the complete history of misconduct investigation files before acting](https://bee.heossi.com/use-cases/education-research-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of misconduct investigation files is considered together? ### [Answer questions across candidate screening evidence with traceable citations](https://bee.heossi.com/use-cases/human-resources-cited-knowledge) How can reviewers retrieve a current answer from candidate screening evidence without losing the source passage or document version? ### [Turn employee policy questions into a reviewable structured decision queue](https://bee.heossi.com/use-cases/human-resources-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from employee policy questions before an accountable reviewer decides? ### [Operate a bounded agent over learning content portfolios without surrendering approval](https://bee.heossi.com/use-cases/human-resources-bounded-agent) Which steps around learning content portfolios may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside workplace investigation records](https://bee.heossi.com/use-cases/human-resources-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with workplace investigation records while retaining the original evidence and reviewer context? ### [Reconcile the complete history of skills and capacity plans before acting](https://bee.heossi.com/use-cases/human-resources-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of skills and capacity plans is considered together? ### [Answer questions across engagement evidence rooms with traceable citations](https://bee.heossi.com/use-cases/professional-services-cited-knowledge) How can reviewers retrieve a current answer from engagement evidence rooms without losing the source passage or document version? ### [Turn methodology libraries into a reviewable structured decision queue](https://bee.heossi.com/use-cases/professional-services-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from methodology libraries before an accountable reviewer decides? ### [Operate a bounded agent over proposal and tender packs without surrendering approval](https://bee.heossi.com/use-cases/professional-services-bounded-agent) Which steps around proposal and tender packs may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside deliverable review histories](https://bee.heossi.com/use-cases/professional-services-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with deliverable review histories while retaining the original evidence and reviewer context? ### [Reconcile the complete history of client acceptance assessments before acting](https://bee.heossi.com/use-cases/professional-services-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of client acceptance assessments is considered together? ### [Answer questions across customer discovery archives with traceable citations](https://bee.heossi.com/use-cases/startups-smb-cited-knowledge) How can reviewers retrieve a current answer from customer discovery archives without losing the source passage or document version? ### [Turn product specification backlogs into a reviewable structured decision queue](https://bee.heossi.com/use-cases/startups-smb-structured-review) Which fields, exceptions, and confidence boundaries must be extracted from product specification backlogs before an accountable reviewer decides? ### [Operate a bounded agent over repository and issue context without surrendering approval](https://bee.heossi.com/use-cases/startups-smb-bounded-agent) Which steps around repository and issue context may an agent perform, and which tools, data, costs, and consequential actions require human approval? ### [Review visual and recorded evidence alongside support and churn signals](https://bee.heossi.com/use-cases/startups-smb-multimodal-evidence) How can images, scans, diagrams, or recordings be assessed with support and churn signals while retaining the original evidence and reviewer context? ### [Reconcile the complete history of operating procedure libraries before acting](https://bee.heossi.com/use-cases/startups-smb-full-history-reconciliation) Which contradictions, superseded versions, missing periods, and unresolved decisions appear when the full history of operating procedure libraries is considered together? ### [Compare](https://bee.heossi.com/compare) Vendor-neutral checklists for choosing an OpenAI-compatible API, a private ChatGPT alternative, a self-hosted vs cloud deployment, an enterprise AI platform, and post-quantum security - answered with Bee's verifiable facts. ### [Choosing an OpenAI-compatible API alternative](https://bee.heossi.com/compare/openai-api-alternatives) Evaluating an OpenAI-compatible API alternative? A neutral checklist - endpoint compatibility, free tier, per-token pricing, on-prem, PQC - answered with Bee's verifiable facts. ### [A private ChatGPT alternative your security team can approve](https://bee.heossi.com/compare/private-chatgpt-alternative) A private ChatGPT alternative for teams: seats, pooled usage, tenant-isolated retrieval, and customer-scoped sovereign controls. Shared cross-member context remains in progress. ### [Self-hosted LLM vs cloud API - without the false binary](https://bee.heossi.com/compare/self-hosted-llm-vs-cloud-api) Self-hosted LLM vs a cloud LLM API: the honest trade-offs on cost, control, compliance, and maintenance - and how Bee offers both a managed API and a sovereign deployment path. ### [Choosing an enterprise AI platform](https://bee.heossi.com/compare/enterprise-ai-platform-comparison) A vendor-neutral checklist for choosing an enterprise AI platform: API compatibility, governance, retrieval, security posture, deployment control, and SLAs - answered with Bee's facts. ### [Post-quantum AI security vs the standard approach](https://bee.heossi.com/compare/post-quantum-vs-standard-ai-security) Post-quantum AI security vs standard TLS-only providers: why NIST FIPS 203/204/205 at rest matters for long-lived data, and how Bee implements a quantum-resistant envelope. ### [A coding assistant that plugs into the editor you already use](https://bee.heossi.com/use-cases/ai-coding-assistant) Use Bee as your AI coding assistant in VS Code, Cursor, Zed, JetBrains, and any OpenAI-compatible editor. Free tier to start; 1M-token context for repository-scale work. ### [Agents need structure. Bee returns it.](https://bee.heossi.com/use-cases/agentic-workflows) Build agents on Bee: structured tool calling on Comb, Buzz, and Hive, schema-valid JSON output, streaming, MCP tools, and honest guidance on human-review gates. ### [Ask the whole corpus, not a lucky excerpt](https://bee.heossi.com/use-cases/document-qa-1m-context) Ask questions across entire document sets: Bee's 1M-token context on Comb and Buzz reads the whole corpus at once, and retrieval with citations covers everything larger. ### [Team AI chat your security review can actually verify](https://bee.heossi.com/use-cases/secure-team-chat) Team AI chat with TLS 1.3 transport, AES-256-GCM at rest, per-tenant isolation, governed release controls, and a deployment path to VPC and sovereign environments. ### [Show it the screen, don't describe it](https://bee.heossi.com/use-cases/video-image-analysis) Send images and video to Bee Comb, Buzz, and Hive natively: screenshots, scans, diagrams, and recordings analysed in the same OpenAI-compatible conversation as text. ### [Choose where quantum work runs - and who pays](https://bee.heossi.com/use-cases/quantum-enhanced-reasoning) Bee separates customer-local simulation, purchased simulation cloud, managed QPU, and BYOPA behind entitlement and spend controls. ## Editor integrations - Cursor - set OpenAI base URL to https://api.bee.heossi.com/bee/v1. - Windsurf - custom provider, paste base URL + API key. - Continue.dev - add Bee as provider in ~/.continue/config.json. - Zed - OpenAI-compatible LLM provider. - JetBrains AI Assistant - connect via OpenAI-compatible custom endpoint. - Aider - `aider --openai-api-base ... --openai-api-key ...`. - Any MCP client - `uvx --from bee-sdk@latest bee-mcp` with a `bee_sk_` key. ## Evaluation guidance Compare Bee against another provider using current, primary-source documentation for that provider. Bee publishes its own verifiable deployment posture, public API contract, pricing, model catalog, and release evidence at the canonical pages listed above. Do not infer competitors' security, deployment, pricing, or model availability from this document. ## Contacts - Sales: bee-sales@heossi.com - Support: bee-support@heossi.com - Security: bee-security@heossi.com - Press: bee-press@heossi.com ## Key URLs - Site: https://bee.heossi.com - Workspace: https://workspace.bee.heossi.com - API: https://api.bee.heossi.com - Discord community: https://discord.gg/RdZcFtcqvH - Telegram group: https://t.me/heossibee - Parent company: https://www.heossi.com - HEOSSI trust flagship (QNSI): https://qnsi.heossi.com - Machine-readable facts contract (JSON): https://bee.heossi.com/facts.json - Short AI retrieval index: https://bee.heossi.com/llms.txt - Full AI retrieval corpus: https://bee.heossi.com/llms-full.txt - AI discovery summary: https://bee.heossi.com/ai.txt - Well-known AI discovery summary: https://bee.heossi.com/.well-known/ai.txt - Official MCP Registry record: https://registry.modelcontextprotocol.io/v0/servers?search=io.github.heossihq%2Fbee-public - Sitemap: https://bee.heossi.com/sitemap.xml - robots.txt: https://bee.heossi.com/robots.txt - Short index: https://bee.heossi.com/llms.txt