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Public benefit corporation · Est. 2021

Frontier AI, built with safety as a design constraint rather than a research footnote.

We run one of the few labs doing both halves of this work at once: training models at the frontier, and studying the discipline that keeps them worth deploying. Neither half is much use without the other, which is uncomfortable and, we think, correct.

Headquarters
San Francisco — with teams in New York, London, Dublin, Zürich, Tokyo
Focus
Interpretability, alignment, and frontier model development
Charter
Public benefit — mission sits alongside shareholder return
New models

Cortex 5.1 and Pulse 5.1

Two models for work that runs longer than a single turn. Both hold state across tools, recover from their own mistakes, and report uncertainty instead of inventing a finish line.

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Latest releases

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01 Sep 2026

Cortex 5.1 and Pulse 5.1

A paired release aimed at long-horizon agentic work, with a rewritten evaluation suite covering tool misuse and instruction drift over multi-day tasks.

Models Evals System card
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24 Jul 2026

Interpretability: a working map of one attention head

We traced a single circuit that decides when a model withholds an answer, then showed we could steer it — and that the steering generalised to held-out tasks.

Interpretability Paper
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30 Jun 2026

Responsible scaling, version 3

Capability thresholds are now paired with required safeguards, plus a published process for what happens when a threshold is crossed mid-training.

Policy Safety
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AI should widen what people are able to do — without quietly deciding who gets to do it.

Deployments

Putting this in front of your organisation.

Enterprise plans include audit logging, SSO, region pinning, and a named security contact. If you need to know exactly where your data sits, we would rather answer that in writing before you ask twice.