SMOS is a goal-conditioned research intelligence system. It finds what's missing from your corpus — not what's similar — and computes the optimal path toward your research objective.
Researchers drown in papers. Teams repeat known failures. Contradictions go undetected for years. Existing tools find similar work — none tell you what's missing, or what already failed.
SMOS converts any research goal into a computable alignment problem — then finds the papers that advance the goal, not just papers that are topically related.
From paper ingestion to patent defense — every step of the research intelligence pipeline in one workspace.
A biotech CEO, a world-ranked nanoscientist, and an AI founder — all three have personally hit the research synthesis wall.
Whether you're a research team, a pharma company, or an investor — we'd love to show you what SMOS can do on your corpus.