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Capitol builds intelligence infrastructure for companies overwhelmed by data but starved for clarity. Today, 80% of enterprise AI projects fail because outputs aren't accurate, attributable, or usable. Capitol AI works with companies in high-stakes industries to turn information into intelligence that drives decisions with model-agnostic, purpose-built infrastructure. Capitol is building a different future - one where institutions, creators, and analysts stay in control of their knowledge, their IP, and their value. We deliver a model-agnostic platform that turns complexity into decision-grade insight. We don't believe the future should be dictated by a handful of closed models. We enforce attribution, minimize hallucinations, and preserve temporal accuracy - giving companies trusted answers they can act on.

At Undermind, we're building a search engine that can handle extremely complex questions. It’s geared at experts, like research scientists and doctors, who need to find very specific resources to solve high-stakes problems. We’ve rebuilt search from the ground up to address this. Our new approach employs high-quality LLMs to adaptively explore a database, mimicking how a human researcher carefully discovers information. This approach dramatically outperforms (by 10-50x) traditional keyword search and other modern AI-based retrieval methods. Our first target users are the 50 million researchers searching for scientific literature on PubMed and Google Scholar every month. We’ve have paying users across fields like medicine, ML, biotech, finance, and more.