Safety

Preventing catastrophe is the floor, not the mission. Avoiding harm is table stakes — necessary, non-negotiable, and nowhere near sufficient. We hold our systems to a higher bar: do people leave more capable, more informed, and more themselves for having used them?

How we work

Safety, interpretability, and capability move together. We don't treat alignment as a tax paid after training; it shapes the data we curate, the objectives we optimize, and the evaluations that gate every release.

Interpretability first

We invest in methods that keep a model's reasoning legible and auditable, so behavior can be understood rather than merely observed. A system we can inspect is a system we can trust to deploy.

Calibrated, not confident

A useful model knows when not to answer. We train for calibrated uncertainty and honest refusals, so the surface area for confident error shrinks as capability grows.

Evals for uplift, not just risk

Alongside red-teaming and risk benchmarks, we build evaluations that measure whether a model helps someone learn, decide, and create better. Those numbers ship next to capability, and they carry equal weight.

Reporting

We publish the methods behind these commitments — the wins and the open problems both. If you've found a safety issue in a Userlite product, reach out and we'll follow up quickly.