Sovereign AI that stays on your side.
Atlas Cowork · Cadence Core · Browser Assistant — all local, all private. Built by developers who believe your data should never leave your machine.
Your AI shouldn't need the cloud to remember your name.
Most AI assistants know more about you than your doctor. And it's stored on someone else's server. We built something different.
Three products. One promise.
Meet the Atlas Suite: intelligent agents that run where you do. All local. All private. All built for real work.
Atlas Cowork
14 specialist agents. One sprint pipeline. Desktop AI that handles your tasks while you focus on what matters.
Cadence Core
A companion that learns you. Ticks at 100Hz. Never forgets. Neuromorphic AI that grows with your workflow.
Browser Assistant
Intelligence in your tab. Zero data leaving your browser. On-device AI for every webpage you visit.
Built for builders. Engineered for edge cases.
No black boxes. No telemetry. Just solid engineering that respects your system.
Runtime Architecture
Privacy Architecture
Platform Support
Sovereignty Metrics
Sovereign Software. Sovereign Intelligence.
Sovereign software means you own the stack, the data, and the decision-making. We don't offer "AI as a service" — we build sovereign AI LLMs that run entirely on your hardware, governed by your policies, accountable to no cloud provider.
🔐 Privacy by Architecture
Our C.O.R.E. LLM family is built for data sovereignty—trained, fine-tuned, and deployed entirely within your infrastructure. No external APIs. No hidden telemetry. No compliance gray zones.
🌍 Jurisdictional Control
Keep sensitive data within legal boundaries. Our sovereign AI stack ensures your organization retains full ownership of models, weights, and inference—aligned with GDPR, HIPAA, and emerging AI Acts.
⚙️ Self-Hosted LLM Runtime
Deploy C.O.R.E. models on-premise, in air-gapped environments, or on edge devices. Quantized, optimized, and ready for your hardware—without cloud dependency.
🛡️ Auditable & Transparent
Every model version, training datum, and inference log is traceable. Open protocols + closed-loop deployment = trust you can verify.
Transparent protocols. Auditable code.
We build for people who understand systems. No black boxes. Just open protocols and code you can audit.
GitHub
Open-sourced MCP connectors, architecture docs, and reference implementations. Fork it. Audit it. Extend it.
View on GitHubDocumentation
API specs, configuration schemas, and copy-pasteable code examples. Honest about limits. No vague promises.
Read the Docs