Optagon Labs

Bringing drugs to technical
maturity, faster and cheaper.

Co-optimize multiple drug properties, de-risk the next milestones, accelerate the path to clinical trials.

To be viable, a drug must be optimized for many properties at the same time. Today that is a risky process that runs sequentially over many years, and success hinges on the combination of the lead and the design parameters you select and lock in early.

Conventional wisdom says: if you chose wrongly, fail fast. Optagon says: build a tunable digital twin that understands what moves the drug's properties. Find the optimal design fast, and when a property drifts later, fix it just as fast.

  1. The system

    The digital twin

    Envelops the drug lead: molecule, formulation, process, and the body it must survive in.

  2. Co-optimize multiple properties

    Find the parameters that satisfy every target at once.

  3. De-risk the next milestones

    Bring tomorrow's constraints into today's design.

  4. Accelerate the path to clinical trials

    Run only the experiments that resolve the most uncertainty.

Our algorithms help drug developers optimize every property of a drug at once: first by bringing the parameters that move them into one digital twin, then by running the few high value experiments that make that twin accurate.

Because the parameters behind potency, ADMET, and CMC are connected, they can be tuned together to hit every target product property at once.

Worked example: an oral small molecule inhibitor. Hover a stage to see the parameters that move it and the targets it must hit.

Frontier model

One frontier model that understands the drug on every level.

Three components, trained and deployed as one: a molecular foundation model, a state representation architecture for the system it lives in, and an optimizer that decides which experiment is worth running next.

  1. Molecular foundation model

    Maps molecular behaviour to molecular function.

    Breakthrough

    Frontier performance in very low data regimes, where the measurements that exist are few and expensive.

  2. State representation architecture

    Models the mechanisms that govern the drug in formulation, in transport, and in the body.

    Breakthrough

    A state-of-the-art representation that carries multi-level context and, through our frontier inference-time compute algorithms, understands which actions lead to which outcomes.

  3. Adapted Bayesian optimization

    Optimizes over the state representation, so every experiment sharpens the whole twin.

    Breakthrough

    A novel multi-level surrogate. It starts from strong physics priors, then needs only a few experiments to populate the state representation and converge on sharper posteriors, fast.

Engagement

From the properties you need to a system you can keep tuning.

One engagement, scoped to the stage you are in. The twin stays with the program afterwards.

  1. 01

    Bring the properties you need to hit at once.

    Stability, toxicity, half-life, permeability, and more.

  2. 02

    Deploy a digital twin of your drug.

    It understands what moves those properties.

  3. 03

    Optagon directs the experimentation.

    Each experiment chosen to reduce cost and time.

  4. 04

    You keep a tunable system.

    If a property drifts in the future, you can fix it fast.

Let's talk about your program.

Bring the properties you need to hit, and we will scope where a digital twin resolves the most risk first.

Talk to us