CTGT
The deterministic layer for frontier intelligence
What they do
Enterprises cannot safely deploy generative AI with the deterministic reliability and alignment guarantees required in high-stakes, regulated environments.
CTGT provides a representation-engineering and mechanistic-interpretability-based architecture that intervenes inside neural networks to make model behavior more aligned and reliable.
Fortune 500 enterprises, especially teams in highly regulated industries deploying generative AI.
Founders
Cyril left his research at Stanford at 23 to found CTGT. His work on efficient and interpretable AI was presented at AI conference ICLR while he was the Endowed Chair's Fellow at the University of California San Diego. He is a Nordson Leadership Scholar and Ivory Bridges Fellow.
Trevor built hyperscale distributed systems for large machine learning workloads at MLsys@UCSD.
Open roles 6
Company timeline
- Founded2024
- YC batchFall 2024
- StatusActive
- Team size6 people
- LocationSan Francisco, CA, USA
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