A non-profit runs the lab.
An assistant with no shareholders is what comes out of it.
Ichnus is Curos's free AI assistant. There's no ad model funding it and no investors setting its priorities — just the people who use it, and the research that goes into making it worth using.
Curos is building AI that answers to people, not profit.
Every part of Curos — our non-profit structure, our safety commitments, and Ichnus itself — traces back to one idea: the most important technology of this century should serve everyone, not just those who can pay for it.
See how we approach this →At Curos, we build AI to stay accountable to the people who use it.
AI is infrastructure. It shouldn't answer to a quarterly earnings call.
Non-profit by structure
No shareholders demanding growth at any cost. Every decision is measured against our mission, not a share price.
Free by default
Ichnus is free to use. Good AI shouldn't be gated behind a paywall for the people who need it most.
Open about how it works
We publish what we can about how our models are trained, tested, and deployed — trust is earned in the open.
Accountable by design
We publish our safety evaluations and give the people who use Ichnus a real say in how it behaves.
One assistant, three tiers.
Ichnus is powered by three model tiers, each tuned for a different job.
Fast
Krus
Built for everyday questions, fast replies, and running at scale without the wait. Krus handles the small stuff so the bigger models stay available for the hard stuff.
- Quick lookups and factual questions
- Drafting and editing
- Simple chat and customer-facing flows
Balanced
Mantus
Strong reasoning at a comfortable speed. Mantus is the default across Ichnus — the model most people meet first, and the one most people settle into.
- Multi-step reasoning and planning
- Writing, analysis, and research
- Long-document work
Frontier
Corus
Built for hard problems — deep research, complex reasoning, and difficult judgment calls. Corus is available free to everyone, with fair-use limits so it stays available.
- Deep research and synthesis
- Complex, multi-step reasoning
- Code, math, and high-stakes decisions