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Latent

Latent is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 1.

  • Fraud Detection
  • AI

About Latent

GPAgent's own fund-neutral profile, written from public information. Updated Oct 6, 2026.

Summary

Latent detects hallucinated LLM outputs in real time by reading a model's internal state as it generates each answer, before any response reaches an end user. Teams deploying LLMs in finance, legal, healthcare, and customer support get a prioritized review queue of flagged answers, each with a plain explanation, replacing the manual spot-checking or expensive judge-model pipelines those teams would otherwise run. The product sits inside the customer's own deployment, so no output leaves their environment to be verified.

Business model

A free tier plus paid plans, with a call-to-book sales entry point.

Go-to-market

B2B teams running LLMs in production are the buyers; they can start via a self-serve free tier or book a call for a guided onboarding.

From the Y Combinator listing

How Latent describes itself in Y Combinator's public directory.

Catch wrong LLM answers before your customers do

Latent catches wrong or unsupported LLM answers before they reach your users. Instead of running a second model to check every output, it reads the model's own internal state as it generates, so every request is verified with no added latency, no extra inference cost, and nothing leaving your deployment. Teams running LLMs in production, in finance, legal, healthcare and customer support, get a review queue of the answers most likely to be wrong, calibrated to their own model and traffic, with a plain explanation of why each one was flagged.

Facts

Industry
B2B / B2B -> Security
Location
San Francisco, CA, USA
Team size
1
Status
Active
Stage
Early

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