A copilot on every case —
inside your own environment.
LibraOS gives every employee a copilot on the case in front of them — sales, marketing, delivery, support — grounded in your own data, inside infrastructure you control. It cites every claim to a source, escalates anything past its scope, and everything it learns becomes knowledge the whole company can draw on next time. Nothing ships without your review.
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. LibraOS 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 inside your own environment, air-gapped if you need it. 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 engine. Your infrastructure.
The runtime underneath every digital employee — one 59MB Go binary, inside your own environment. LibraOS is a single company AI operating layer, 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 inside your own environment, air-gapped if you need it. 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 LibraOS. 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%.
Discipline first. Surface second.
LibraOS is a product of Nebula Nova Inc. — a company AI operating layer built on one supervised, source-cited runtime that runs inside the customer's own environment.
The discipline mechanism — scope guardrail, grounded retrieval, the 3-tier AI Firewall, and an audit trail per task — was first hardened against the strictest regulated work, then generalized to every business function.
EqualDocs is a design partner; we piloted the supervised digital-employee substrate with them on contract review and intake. Different vertical, same discipline architecture. The engine is ready for the second customer. The product is ready for the tenth.
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 LibraOS handle your documents, your compliance rules, and your security requirements. No credit card required — a 30-minute call with our engineering team.