Launch HN: Mentat (YC F24) – Controlling LLMs with Runtime Intervention
Hi HN, I’m Cyril from CTGT. Today we’re launching Mentat ( https://docs.ctgt.ai/api-reference/endpoint/chat-completions ), an API that gives developers deterministic control over LLM behavior, steering reasoning and removing bias on the fly, without the compute of fine-tuning or the brittleness of prompt engineering. We use feature-level intervention and graph-based verification to fix hallucinations and enforce policies. This resonates in highly regulated industries or otherwise risky applications of AI where the fallout from incorrect or underperforming output can be significant. In financial services, using GenAI to scan for noncompliant communications can be arduous without an easy way to embed complex policies into the model. Similarly, a media outlet might want to scale AI-generated summaries of their content, but reliability and accuracy is paramount. Thes
Why it failed
Hi HN, I’m Cyril from CTGT. Today we’re launching Mentat ( https://docs.ctgt.ai/api-reference/endpoint/chat-completions ), an API that gives developers deterministic control over LLM behavior, steering reasoning and removing bias on the fly, without the c
- Kind
- startup
- Status
- Shut down
- Inventor
- cgorlla
- Ended
- 2025
- Source
- hackernews