humans.ai
AI “humans” that work like staff — with provable identity.
humans.ai builds AI “humans” — autonomous digital workers with persistent identity, memory and a track record, deployed inside organizations and governments like staff rather than used like static tools. Each carries a verifiable on-chain identity, and the system continuously spawns, evaluates and replaces them as better versions emerge. The brief: an autonomous, accountable AI workforce serious institutions can actually trust.
Organizations deploy named AI workers that hold a role, remember context and carry a reputation — running real, multilingual workloads instead of answering one-off prompts. Because every worker has an on-chain identity and audit trail, output is accountable and licensing is provable. It’s an AI workforce an institution owns and governs, not a black-box model it rents.
- 01AI “human” entities with persistent role, memory and reputation
- 02Enterprise deployment: RBAC, sovereign-cloud, on-chain audit logs
- 03“AI Chain” — a blockchain where AI entities do useful work and govern
- 04Multimodal consumer interface (voice / video / text)
- 05A declarative training system for skill acquisition
- 06Spawn → compete → verify → replace lifecycle
- Multi-model ensemble per role — Claude, GPT, Gemini and Llama run in parallel and compete
- Peer-verification consensus between entities to cut hallucination vs single-model self-grading
- Evolutionary design: challengers spawn in a sandbox, auto-promoted or retired by score
- File-driven agent definition (identity + skills) plus a curriculum-based trainer
- Blockchain as the audit + incentive layer (Cosmos SDK + CometBFT consensus)
- Sovereign-cloud deployment for data residency; consumption-based accounting
Want one of your own?
We build the system your business needs — then hand you the code, the infrastructure, and the keys.
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