Asset discovery
Agents continuously scan literature, patents, trials, and proprietary datasets to surface assets the market has missed.
Katalyst is an AI-native drug discovery engine. Our autonomous agents surface overlooked assets, run a 50-model in-silico evaluation, and de-risk every candidate — so your team moves from hypothesis to conviction in days, not quarters.
From first signal to final conviction, Katalyst fuses autonomous reasoning agents with rigorous, reproducible science.
Agents continuously scan literature, patents, trials, and proprietary datasets to surface assets the market has missed.
50+ specialized models score binding, ADME, toxicity, and off-target risk into a single, defensible profile.
A calibrated PoS model translates molecular and market signals into a clear go / no-go recommendation.
Every recommendation is reviewed by specialists and KOLs — AI proposes, experts decide.
Each stage is a modular agent. Together they form a reproducible path from raw signal to validated conviction.
Mines global literature, patents, and trial registries for high-potential, under-explored assets.
50+ custom models assess each candidate across mechanism, pharmacology, and safety.
Domain scientists audit the agent's reasoning and flag edge cases.
Maps competitive landscape, IP runway, and commercial whitespace.
Surfaces manufacturing, regulatory, and supply-chain risk early.
Synthesizes every signal into a calibrated, transparent PoS score.
Key opinion leaders validate the top assets before they reach your desk.
Every asset is profiled across the dimensions that decide whether a molecule becomes a medicine.
Structure-based affinity prediction, docking, and pathway consistency checks against the proposed mechanism of action.
ΔG · pose stability · MoA fit
Absorption, distribution, metabolism, and excretion modeling to forecast in-vivo behavior before the bench.
solubility · CYP · half-life
Multi-endpoint toxicity prediction including hepatotoxicity, cardiotoxicity, and genotoxic liabilities.
hERG · DILI · Ames
Proteome-wide selectivity screening and immunogenicity flags to catch liabilities competitors miss.
selectivity · MHC binding
Each agent is independently auditable and swappable, so the system improves without becoming a black box.
Expert review is built into the pipeline, not bolted on — every conviction is traceable to evidence.
Models learn from both labeled outcomes and the vast unlabeled chemistry of the real world.
A team of computational chemists, ML researchers, and former pharma operators building the discovery engine they always wished they had.
Our discovery agents continuously scan public literature, patents, and trial registries, combined with licensed proprietary datasets, to surface high-potential candidates.
No. Katalyst is a force multiplier. AI handles breadth and speed; your experts make the calls. Human review is a first-class stage in every pipeline.
We partner with biotechs and pharma on a platform-access basis, with optional co-development on jointly sourced assets. Reach out for details.
We're onboarding partners in a private beta. Request access below and our team will be in touch.
Request access to the Katalyst private beta. Tell us about your therapeutic focus and we'll set up a tailored walkthrough.
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