Frontier AI is becoming an instrument of national policy.
Access is political
Frontier model access has already been suspended and selectively restored by government directive. Rent a foreign model and you inherit that exposure.
The category is proven
Air-gapped government AI now has reference architectures from the largest players. Hive brings that category to ministry and enterprise scale budgets.
Ownership compounds
Self-hosted infrastructure lets you fine-tune and eventually train your own specialized models instead of depending on any external lab indefinitely.
Two ways to run Hive.
Hive
EARLY ACCESSHosted by us, open to anyone. The same assistant, coding, and knowledge work capability as the big consumer AI products, billed for what you use.
Hive Enterprise
IN PILOTFor sensitive industries that need control. The full platform installed on infrastructure you own, deeply customizable, and air-gappable when it has to be.
Two agents, one engine.
The same category of capability as Claude Code and Codex style tools, running on your models, against your systems.
Coding agent
Reads and writes code, runs builds, tests, and lint tooling, and works with version control against your own codebases and internal tooling.
Knowledge work agent
Drafts and edits long form content, searches your own corpus, generates slide decks, and understands contracts, forms, and scanned PDFs via vision.
RAG on your corpus
Your documents chunked, embedded, and indexed for semantic search, entirely on your infrastructure.
Voice and image
The system reads answers aloud and generates images, all served by local models.
Fine-tuning
Adapt models to your domain on your own hardware, and keep the weights.
Sandboxed execution
Agents run real commands inside rootless containers with no access outside their workspace.
Everything inside your boundary.
One compact stack, the same architecture from a single desk side unit to a national scale cluster. In strict sovereign mode, all external egress is blocked at the network policy level for a provable air gap.
Hive Enterprise is being piloted with a fintech in Canada and a government agency in Bangladesh.
Staff were relying on free or personal consumer AI accounts, sending sensitive material to third party clouds that train on conversations by default and can be compelled to produce them.
The full Hive Enterprise stack installed on premises on each client’s own servers, running local models with document retrieval over their own records, integrated with their existing single sign on.
Strict sovereign configuration: external egress blocked at the network policy level, every action logged and attributable, all data inside each client’s own jurisdiction and keys.
Client identities withheld under NDA. Hive is designed to support data residency and organizational control; validate against your own legal and audit requirements.
Run AI you actually own.
Join the Hive waitlist, or talk to us about an Enterprise pilot on one real workflow.