Install it before lunch.
Eight AI employees start working — inside your walls.
Libra OS packs the kernel, knowledge base, AI firewall, and eight supervised digital employees into a single 59MB binary. It runs on your hardware — air-gapped if you want. Every answer cites its source, and nothing ships without your review.
Everyone governs agents. We ship them.
Govern agents your team still has to build.
Hand you source code your team still has to run.
The runtime itself — employees included, working day one. No platform team required.
That's why a private school runs it on a single server — and an AI data center runs it air-gapped.
Assign it. It works. You review.
The same loop for every job — the difference is the output you can trust. Hand off the work in plain language; get back a source-cited answer you keep the final call on.
Assign. Hand it a task in plain language — a stack of contracts, a research question, a policy to check.
It works. The kernel plans the work, the Knowledge DB retrieves from your data, and the model drafts the answer — inside your own environment.
You review. Every claim is source-cited with a full audit trail. The AI never crosses the scope line on its own — it escalates, and you keep the final call.
Yours — not a vendor's cloud.
Most enterprise AI runs in a vendor's cloud, on a vendor's model. Libra OS runs on your own infrastructure, on models you choose — so the data, the engine, and the knowledge it builds all stay yours.
On-premise deployment
Runs with the network cable unplugged — offline license, no phone-home. Your documents, prompts, and model traffic never leave your network — the reason a regulated buyer can use it at all.
100+ models, one endpoint
Frontier and open-source models behind a single OpenAI-compatible API, with intelligent failover. Swap providers freely — never locked to one vendor's cloud or one vendor's model.
A copilot on every case
Docked on every ticket, matter, and deal, grounded in the open record. It helps close the one in front of your people — every claim traced to a source, every action logged.
Knowledge that compounds
Every case your people close flows back into corporate knowledge, so the next one starts sharper. The system gets better at your business the more it runs.
The digital employee runs the work. Then hands you output you can audit.
Below the line, autonomous. The instant a question crosses into a decision that needs a human, the process freezes and escalates — every word logged, every claim traced to a source.
One binary. Your infrastructure.
The runtime underneath every digital employee — one 59MB Go binary, inside your own environment. Libra OS is a single AI operating system, supervised end to end.
Cascade routing
Three-tier cascade routing resolves most requests in milliseconds. The LLM runs only when it's actually needed.
Grounded retrieval
Graph + vector + keyword retrieval with cross-session memory. Every answer traces back to your source documents.
3-tier screening
Regex → ML risk scoring → LLM judge, inbound and outbound, for prompt injection, jailbreaks, and PII.
100+ models
Frontier and open-source models behind one OpenAI-compatible endpoint, with intelligent failover — zero lock-in.
Your network
Runs with the network cable unplugged — offline license, no phone-home. Data never leaves your network.
Scope & audit
Each employee acts below a confidence + scope line and escalates above it. Every action logged and attributable.
Numbers that survive diligence.
Every one certified across three runs — controlled same-model A/B. Full methodology and per-run data available on request.
+18.9 pts
GAIA (public agentic benchmark, all levels). Same brain, with vs. without Libra OS. Replicates on-prem: +17.2 apples-to-apples on the shipped local brain.
256 / node
Grounded digital employees per 8×H100 node. 98.3% grounded success across ×3 runs — we measure grounded success, not HTTP 200.
−35%
Attack success rate on AgentDojo — 26.8% → 17.3% with defenses on, while benign utility holds at 90.7%.
In production, not in pilot.
Exabits — an AI data center with its own GPU fleet. They bought the knowledge layer, not compute — a pilot that converted to an annual contract in one month.
EqualDocs — legal AI across 120+ jurisdictions, the first production libra-os-sdk deployment, running on GCP.
Bona Sonority School, Nanjing — supervised AI employees in education, from document work to voice and video.
The same engine runs anywhere your work happens. Today, it starts with the cases your people close every day.
Ready to put a digital employee to work?
See Libra OS handle your documents, your compliance rules, and your security requirements. No credit card required — a 30-minute call with our engineering team.