Blog & News
Notes from the scientific intelligence layer
Research notes, product news and perspectives on turning the world's science into trusted, connected intelligence.
The Knowledge Graph Behind Scientific Intelligence
“Connecting science” sounds abstract. Under the hood, a lot of it comes down to a knowledge graph — and getting that right is what makes cross-domain reasoning possible.
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Agriculture's Data Problem — and What Changes
Farming generates more data than ever — field sensors, satellites, agronomic research — and almost none of it is connected at the moment a decision is made.
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Beyond the Four Walls: Why Environment Belongs in Health
So much of what shapes health happens outside the clinic — where people live, work, and breathe. Connecting that context to clinical reasoning is one of the clearest cross-domain wins.
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Rare Disease Diagnosis: Connecting Phenotype, Genome & Literature
Rare disease is where cross-domain reasoning earns its keep — combining deep phenotype, genomic signal, and the literature to narrow an impossible search.
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The Hidden Cost of Fragmented Science
The world's scientific knowledge has never been larger — or harder to use. The problem isn't volume. It's that the pieces don't connect.
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Serving the Ground the Giants Won't
The largest AI players will chase the largest, most profitable markets. That leaves enormous, important ground unserved — and that's exactly where we've chosen to build.
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Digital Twins Aren't Just for Healthcare
The idea behind a patient digital twin — a living, evidence-grounded model you can reason over — applies just as powerfully to a farm or an ecosystem.
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Why Science Needs an Engine, Not Another Chatbot
General AI can sound convincing and still be wrong where it matters most. Shwin takes the opposite approach: an engine that grounds every claim in cited evidence, connects knowledge across scientific domains, and hands people trusted intelligence they can act on.
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