kwiKBioStart Free

The Fastest Path from Research Question to Breakthrough

2026-05-26

Every biomedical research program has the same bottleneck. It isn't the lab. It isn't even the funding. It's the weeks-to-months between asking a good question and knowing which experiment to run first.

FastScience! has been attacking that bottleneck for decades. Version 7, the version powering kwiKBio today, is the first that closes the loop end-to-end inside a single working session.

The four levers

We get the speed from four compounding ideas, none of them new on their own:

  1. Causal graphs over corpus search. We do not search papers — we ingest them into a Neo4j graph of entities and causal arcs. The arcs are what matter.
  2. Sub-linear association mining. Higher-order k-tuple correlation discovery (a SLAM-style approach drawing on the academic work of Evan Steeg and others) finds non-obvious co-clusters at scale that is sub-linear in the corpus size.
  3. PRISM-9 reduction. Most well-posed research problems decompose into ≤9 dominant entities. We force that reduction explicitly — it makes the next layer QUBO-tractable.
  4. Quantum-class solving. With the problem reduced, path-planning becomes a Quadratic Unconstrained Binary Optimization. Quantum annealers address it in seconds where available; classical fallback in minutes.

What it looks like in practice

A typical user session:

Working sessions that previously consumed weeks of senior-researcher attention now resolve in hours, and the SSKM (Studied System Knowledge Model) persists, so the second pass is faster than the first.

What is still hard

Domain manual ingestion. If your field does not have a clean RDF/Turtle representation already, we have to build one with you. That is why Enterprise customers get a named success engineer for the first quarter.

Try it

Freemium gives you five queries a month, no card. Start at /pricing. The first question is on us.