Understand
We read the target first: structure, pockets, and the mechanism a molecule has to work with.

We combine AI-driven computational science with molecular biology to design and advance a proprietary portfolio of therapeutic candidates.
Biology, molecular design, computational evidence and the wet lab only work when they inform each other. We run them as one iterative research process.
Our proprietary platform is the engine behind it: scientific reasoning, design and simulation in one place.

We read the target first: structure, pockets, and the mechanism a molecule has to work with.
We build and edit candidates in that pocket, keeping the reason for every change.
We dock, score properties and ADME, then keep the few worth making.
What the lab reports goes back into the series, so the next round starts further along.
Agentic workflows connect literature, structures, design and analysis. Scientists assess the evidence and decide what to test next.
Proprietary small-molecule candidates, for development, partnering or licensing.
The internal research platform behind every program, built and owned in-house.
Structured data and traceable evidence that feed the next program.
Two ways in, both run as a joint program with NeoraLab.
You bring the target. We build the program.
You bring a series. We work potency and properties.
Partners run on the full NeoraLab platform, at no cost, for as long as we work together.
Proprietary small-molecule programs for future development, partnering, or licensing. We begin with antimicrobial resistance.
Early discovery
We investigate small molecules with the potential to complement existing antibiotic therapies. Experimental validation guides what moves forward.
The same platform extends to other targets and therapeutic areas. Those programs are exploratory and still ahead of us.

Every program leaves behind mechanistic insight, computational results, and the provenance to reproduce them.

Computational predictions stay separate from experimental evidence. Selected research may be shared publicly; proprietary data and therapeutic IP stay within NeoraLab.
We pair scientific reasoning with molecular design, with deep expertise in protein dynamics and allosteric regulation.
AI widens the search. Judgment, traceable evidence and wet-lab validation decide what we advance.
We bring together AI engineering, software, molecular biology, and computational research to pursue new small-molecule therapeutics.
We welcome conversations with pharma and biotech teams, scientific collaborators, and investors.
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