Vitruvyan is an epistemic operating system. Every output ships with provenance, reasoning chain, confidence score, and full audit trail. Transparent by design.
What is Vitruvyan
The operating system that sits between your models and your applications — forcing every output through a cognitive pipeline.
GPT, Claude, Gemini, open-source, local or cloud — it doesn't matter which model you use. Vitruvyan wraps it in a transparent layer of perception, memory, reasoning, and validation.
The result: every answer ships with a complete epistemic record. If it can't show its work, it doesn't ship.
Every conclusion traces back to its premises. No leaps of faith.
Every fact carries its source, timestamp, and confidence score.
Every output is reproducible, verifiable, and immutably logged.
Architecture
Four principles that never bend. Everything else is configurable.
One kernel, any vertical. Finance, healthcare, compliance, industrial. The core doesn't change — your domain plugs in.
Every cognitive layer is independent and pluggable. Use what you need, extend what you want, replace what doesn't fit.
From a single Docker container to a distributed cluster. Every layer scales horizontally. Start small, grow without rearchitecting.
Runs on your infrastructure. Cloud, on-premise, edge. Your data never leaves your perimeter. Full control, zero vendor lock-in.
How it thinks
In a world of black boxes, trust is the bottleneck. You can't audit what you can't see. You can't improve what you can't trace. You can't comply with what you can't explain.
Vitruvyan doesn't just produce outputs — it thinks in four stages, and every stage leaves a record. Transparency isn't a feature. It's the architecture.
Every input is parsed, classified, and normalized. Language, format, source — nothing enters the system unnamed. Context is built before reasoning begins.
The system recalls every relevant fact it has ever processed. Each memory carries its source, its age, and a coherence score. Nothing is assumed — everything is grounded.
Conclusions are produced step by step, with each inference traceable to its premises. The model used, the confidence level, the alternatives considered — all recorded.
Before any output ships, it passes through validation. Invariants are checked, contradictions flagged, sources cross-referenced. If it fails, it doesn't leave.
Verticals
Vitruvyan gives you a cognitive kernel that already knows how to perceive, remember, reason, and verify. You don't rebuild that. You bring your domain — your vocabulary, your rules, your data sources — and plug it in.
A vertical is a thin configuration layer: entity definitions, domain-specific connectors, validation rules. One command scaffolds the structure. The kernel does the rest — perception pipeline, semantic memory, audit trail, everything.
Whether you're building a risk engine, a diagnostic assistant, or something that doesn't exist yet — the architecture is ready. You write the domain, not the infrastructure.
How verticals workInstallation
No managed service, no vendor dashboard, no data leaving your perimeter. Vitruvyan installs on any machine with Docker — cloud VM, bare metal, or your laptop.
The installer detects your environment, pulls the containers, wires the cognitive bus, and starts the system. You're operational in under two minutes.
Cloud or on-premise. Single node or distributed. Full control from the first second.
24+
4 GB
10 GB
Linux / macOS