What makes Bee suitable for regulated teams?

A NIST post-quantum data-at-rest posture with published verification, a governed-release pipeline, per-tenant retrieval isolation, uptime SLAs on paid tiers, and a sovereign Enclave deployment path.

Does Bee publish evidence for its security claims?

Yes — a public trust page carries verification records, and the platform states which capabilities are first-party versus served via named external providers.

Is there an uptime SLA?

Yes — the paid tiers carry contractual uptime SLAs (Hive 99.5%, Swarm 99.9%).

Choosing an enterprise AI platform

A vendor-neutral evaluation checklist — API compatibility, governance, retrieval, security, deployment control, and SLAs — with Bee's concrete, verifiable answers to each.

Evaluation checklist

→API compatibility — OpenAI-compatible so your stack and SDKs work? Bee: yes.
→Governance — is there a release/eval gate and published evidence, or opaque updates? Bee: governed-release pipeline + a public trust page with verification records.
→Retrieval — first-class RAG with per-tenant isolation? Bee: yes, up to 25,000 documents on Hive.
→Security posture — NIST post-quantum at rest, stated per capability? Bee: ML-KEM/ML-DSA envelope, honesty about what runs first-party vs external.
→Deployment control — SaaS plus a private/sovereign path? Bee: Bee Enclave.
→SLA — a contractual uptime commitment on the paid tiers? Bee: 99.5% on Hive, 99.9% on Swarm.

How Bee is architected for this

Bee is one progressive platform across tiers with a single OpenAI-compatible API, built-in retrieval, a hosted MCP server, editor integrations, and a governance layer where capabilities are eval-gated and published with a validation record before they reach production routing.

The same platform scales from a free public tier to sovereign deployment — so a proof-of-concept and a regulated production workload do not require two different vendors or two different integrations.

Questions worth asking any vendor

→Which capabilities are first-party vs routed to a named external provider?
→Is the data-at-rest encryption quantum-resistant, and can you verify it?
→Can we deploy privately without re-integrating against a different API?
→Are prompts used for training?

Frequently asked questions

What makes Bee suitable for regulated teams?: A NIST post-quantum data-at-rest posture with published verification, a governed-release pipeline, per-tenant retrieval isolation, uptime SLAs on paid tiers, and a sovereign Enclave deployment path.
Does Bee publish evidence for its security claims?: Yes — a public trust page carries verification records, and the platform states which capabilities are first-party versus served via named external providers.
Is there an uptime SLA?: Yes — the paid tiers carry contractual uptime SLAs (Hive 99.5%, Swarm 99.9%).

AI infrastructure that plans for the cryptography deadline Sovereign AI without the trust-us clause One AI workspace for the whole team

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