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.
Latent is a Y Combinator company in the Fall 2026 batch. Its directory entry describes it as: Catch wrong LLM answers before your customers do (Y Combinator directory entry, August 14, 2026).
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New accelerator entry · 2026-08-14 · the record
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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.
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Example from a real report (our sample on Target): “In March 2026, Target announced a planned incremental $1 billion operating investment” Source: Target Corporation (press release)
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