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Trismik
Trismik provides an adaptive evaluation platform that detects hallucinations, bias, and factual errors in large language models to reduce deployment risk. It runs adversarial and real-data tests to…
Trismik
Trismik provides an adaptive evaluation platform that detects hallucinations, bias, and factual errors in large language models to reduce deployment risk. It runs adversarial and real-data tests to…
TL;DR
What they do: Adaptive evaluation platform that detects hallucinations, bias, and factual errors in LLMs
Target customers: AI teams and model builders (B2B SaaS)
Founded / HQ: Cambridge; founded from University of Cambridge research
Recent funding: £2.2M pre-seed announced Sep 24, 2025
Company Overview
Problem Domain
LLM evaluation, safety, and benchmarking
Founded
2025
Industry
Data and Analytics
Tech Stack
Funding Track Record
£2.2M
Participation reported from Cambridge Enterprise Ventures, Parkwalk Advisors, Fund F, Vento Ventures and angel investors from Ventures Together
Investor Signal
“Led by a specialist regional investor (Twinpath Ventures) with participation from university-linked and VC investors”
Founders
What we do
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