Latent
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.
- Website
- runlatent.ai
- City
- San Francisco
- Country
- United States
- YC batch
- Fall 2026
- Team
- 1 people
- Stage
- Early stage
- AI-native
- Yes
See it on the San Francisco mapSource Spot something wrong?
Compiled from public sources with help from automated tools, including AI, so details can be out of date. How we build profiles.
More Security in San Francisco
Checkr$4.6bnHiring
People infrastructure for the future of work
Abnormal Security$4bn
Cybersecurity. Valued at $4bn (May 2022).
Coalition$3.5bn
Cybersecurity. Valued at $3.5bn (September 2021).
Vanta$1.6bnHiring
Vanta—the proven leader in automated compliance helping startups…
Socket$1bn
Security software. Valued at $1+bn (May 2026).
Stytch$1bn
Cybersecurity. Valued at $1bn (November 2021).
Claim this profile
Free and instant: prove you run runlatent.ai and edit the profile yourself.
- Your logo, office address and founder photos
- The ✓ Verified mark next to Latent across the site
- Open roles listed on the Hiring board
- A followed link back to your website
A rank card with Latent's standing on Labspie, or a simple badge. Both link to this profile and update themselves.
