Compressing a pharma company into a model.
Drug development spends ten years learning by trial and error — then forgets. Noah turns that loop into memory: every decision, execution and outcome makes the next program smarter.
Each turn of the loop teaches the next.
The loop has four steps. The world model rehearses each move and agents carry it out. The result, success or failure, retrains the model that made the call. Then the loop runs again until the program has its answer.
Simulate
The world model plays out the biological and clinical consequences of a move before anyone commits to it.
Design
Choose the experiment that settles the question fastest: which target, which population, which endpoint.
Execute
Agents take the plan through the lab and the clinic, alongside your teams, and bring back the result.
Learn
Read what came back, including what failed, and feed it back into the model.
Forward-deployed / Inside your walls
We put people, models and software inside your company.
Our forward-deployed engineers (FDEs), a mix of pharma and AI experts, embed with your team and get Noah running on your data, from drug R&D to commercialization.
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Specialists who have done the work sit with your team and own the outcome.
From week one, Noah works on your problems with your own data and produces results your team can act on.
You keep the models, software and workflows your team now runs every day. They are trained on your data and stay inside your own environment.
How Noah works
Three layers. One system.
Noah Ontology turns what the field knows into something machines can reason over. The world model runs the next move in simulation. The agents carry that intelligence into the work inside pharma companies, today.
Biology a machine can reason over.
Noah Ontology turns fragmented biomedical evidence into typed objects and validated relationships.
It is built from publications, patents, clinical trials and regulatory filings across the US, China, Japan and Europe, and curated by domain scientists.
Read by AI and checked by scientists. AI structures raw literature; domain scientists curate the evidence Noah relies on.
Your own data in the same graph. Your compounds, assays, trials and filings map onto the same typed objects as the public record, so an internal result can be read against everything the field already knows. Your data stays in your environment under your existing permissions.
Run the experiment before you run it.
“Which biological mechanisms produce transformative clinical benefit, and in whom?”
That is the question this industry exists to answer, and today it is answered one trial at a time. We train a world model on full drug-lifecycle trajectories, compressing pharmaceutical development into a single model you can ask first. It forecasts what an experiment would read out, and how that readout moves the program: which target, which population, which design.
Noah for every team that makes medicines.
Noah Research
Spot it, size it, value it. Where to compete, who to partner with, where to invest. Every claim sourced across China and global markets.
Noah Clinical
Design the study, write the protocol. Move clinical teams from question to finished draft with every decision traceable.
Noah Medical
Earn the meeting. Publish the evidence. Take medical affairs teams from scientific exchange through to a submission-ready manuscript.
Noah X
Ask it yourself. A biomedical generalist for your daily work, from discovery through commercial. Every answer cited.
Trust & provenance
Every answer begins with its evidence.
Source-traceable
Trace every claim to its filing, trial, paper, or patent in one click.
Your IP stays yours
Models we train for you run in your environment and stay yours. Your prompts, data and outputs never train anything of ours.
Security & residency
ISO 27001 certification, enterprise access controls, and global and China data-residency options.
Expert control
Noah gives your experts the evidence, the reasoning and the audit trail to make the call.
Put Noah to work on your hardest problem.
Write the problem in a few lines. The right person replies — usually within two days.