Eigencurve is the operating layer for organizations where decisions must be auditable, agents must be governed, and inference cannot leave the perimeter. Built for defense, energy, healthcare, and the public sector.
We do not sell models. We sell the infrastructure that makes models usable inside organizations that cannot afford to be wrong.
Reasoning, governed.
Turn live operational data into auditable decisions. Pipelines, evaluators, and human-in-the-loop checkpoints — wired into the systems that already run your operation.
Autonomy you can supervise.
Deploy agents into critical workflows without giving up control. Permissions, sandboxes, traces, and rollback are part of the runtime — not bolted on.
Frontier models, locally served.
Run frontier-class models on hardware you own, in environments that never touch the public internet. Quantized, scheduled, observable.
Each product solves a discrete problem in isolation. They share a control plane, but you can adopt any one of them without the others. Below — the operator-facing surface of each, drawn from live design-partner work.
{ "asset": "PUMP-44", "window": "PT6H", "crew": "TEAM-3" }{ "draft_id": "DR-44-04-30", "requires": ["shift-lead.approval"] }| TS | ROUTE | MODEL | LAT (ms) | CODE |
|---|---|---|---|---|
| 10:41:08.214 | /v1/chat/completions | claude-edge-7b | 168 | 200 |
| 10:41:08.087 | /v1/chat/completions | claude-edge-7b | 204 | 200 |
| 10:41:07.951 | /v1/embeddings | embed-edge-l | 32 | 200 |
| 10:41:07.762 | /v1/chat/completions | vision-edge-3b | 511 | 200 |
These are the sectors where AI gets stuck — between vendor demos and production. Sovereignty constraints, regulatory regimes, and physical-world risk make general-purpose tooling unfit. We build the substrate that fits.
Eigencurve works with a small number of design partners on production deployments. If your operation requires sovereignty, auditability, or air-gapped inference, we should talk.