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Leading the way to 180x faster LLM evaluations

Helping AI engineers to cut eval time and cost by 95% with adversarial testing

Research led

38 +

years of combined research experience

200 +

published research papers including ACL, EMNLP, NEURIPS, and AAAI

12,000 +

author citations

We believe LLMs should be useful and safe for everyone. As a Cambridge spin-out, we've contributed core NLP methods to the research community. At Trismik, we focus on efficient real-world evaluations - combining human and model judgements to deliver scalable, automated testing

Founding team

Rebekka_Mikkola_Trismik_Environmental_Background_016_DJ5_6814.jpg

Rebekka Mikkola (CEO)

Ex Salesforce

  • LinkedIn
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Nigel Collier (CSO)

University of Cambridge

  • LinkedIn

FAQs

What's our back story?

We are an early-stage spinout founded by tech geeks from Cambridge, Salesforce and Amazon. Backed by 38+ years of research, we’re on a journey to bring the highest scientific standards to AI evaluation.

What sets us apart?

We use adversarial testing to uncover model weaknesses with fewer queries - helping teams find failure modes standard benchmarks miss.

How do we deliver up to 180x  faster evaluations?

We reduce evals from 17K+ queries to under 80 by focusing on high-signal test items. This means significantly faster, cheaper runs - without losing diagnostic power.

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