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Latent - Stop AI agent mistakes by reading the model’s mind

A control layer for AI, built on interpretability.

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YC · launched Oct 21, 2026 · 21 upvotes (top 31%) · 0 views

Niche: llm hallucination detection tools · 27 launches, 2 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • B2B
  • AI-native
  • Commercial product
  • AI

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Could you build this?

Partial A dashboard and SDK that check a chatbot's answers before they reach customers are buildable as a wrapper around LLM-as-judge evaluation. Accurate, low-latency hallucination detection that generalizes across customers needs labeled data and calibration.

What it would actually take: Build an API/SDK that sends each response with its retrieved context to a judge model and returns a risk score and optional blocking. The hard part is detection accuracy and latency, which need labeled hallucination datasets, calibration, and evaluation research. Enterprise deployment also needs security and compliance work.

Competitors

Other products that read as similar to this one : 1727 launches clear the similarity bar, closest 8 shown.

Attention rank: #502 of 1728 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 357 days after the earliest competitor.

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