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500 HotpotQA questions and 200 BEIR queries. Reasoning-Native Retrieval beat FAISS and BM25 on every dataset.
Read the resultsSpots shoplifters and suspicious behavior the moment it happens, and alerts you instantly.
Read the storyWe formed Sholtis Labs, LLC in Maryland. Everything now operates under one roof.
Read the story100% hit rate. 80% multi-hop. Eight iterative improvements, one production-grade system.
Read the storyWe replaced the entire RAG stack - embeddings, vector DB, cosine similarity - with a single reasoning step.
Read the storyReal scale, real baselines, published methodology.
Read the storyA reasoning model retrieves relevant information instead of cosine similarity.
Read the storyInitial proof of concept on a standard industry benchmark. No wrong answers, no hallucinations.
Read the storyWatches atmospheric data around the clock and warns people before storms develop. No human writes the posts.
Read the storyEmail us and we'll send new results and launches as they ship.
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