AI-DRIVEN ANTIBODY & NANOBODY DISCOVERY & ENGINEERING

From GenAI to measured molecules

We optimize generative protein-design models for your target product profile, then build and screen what they design. You get molecules and measurements, not software.

10,000+

Designed and screened every one

up to 360°

Characterized in depth
EXPLORE ATX Reforge & ATX Cast

See how each program works

Learn how to get started, review results from real campaigns, understand what you receive, and explore the commitments behind every engagement.

HOW TO GET STARTED

Start with a molecule, or start with a target

The same discovery engine, lab, and deliverable, tailored to where your program begins.

Entry Point
ATX design assessment

Start with a Design Assessment

Whether you’re starting with a molecule or a target, the ATX Design Assessment helps define your priorities, evaluate the opportunity, and identify the right path into ATX-Reforge or ATX-Cast. Costs can be credited towards ATX-Reforge or ATX-Cast

standard offer
ATX-REFORGE

Start with an antibody

Bring us a clinical asset, a shelved program, or a lead that needs rebalancing. You define the target product profile. We redesign, test, and rank new candidates against it.

Rebalance affinity, potency, specificity, half-life, immunogenicity, and developability against the profile you define, rather than blindly trading one away for another.

Come away with a ranked portfolio and the data behind every candidate in it.

Give your IP counsel a portfolio of candidates that are materially distinct at the sequence level from the parent you already own, each with measured properties and a documented design rationale.

DESIGN PARTNER PROGRAM
ATX-CAST

Start with a target

A defined target, an epitope, a functional objective. No starting molecule. We steer our proprietary AI workflows to the epitope, build a focused library, and screen it.

Point the design at the target and epitope you define, with the functional objective written into the design brief before anything is built.

Generate starting matter orthogonal to what immunization returns, for targets where conventional approaches keep producing the same handful of clones.

Selected hits feed directly into an ATX-Reforge program, carrying the campaign data forward into optimization.

CAMPAIGN RESULTS

Performance across both starting points

Real campaigns, most of them run with a partner on their own molecule.

Optimization campaigns

In two design–build–test rounds, completed in approximately six weeks, candidates reached picomolar affinity, improved functional potency, and cross-species binding beyond the clinical comparator

Most leads reach picomolar affinity with zero developability flags within six weeks.

199/200

Designed variants bound

We expressed and characterized all 200 variants. 199 bound the target, 147 measured below 10 nM, including five in the picomolar range.

<100 pM

Affinity, reached in two rounds

Approximately six weeks of design, build, and testing produced sub-100 pM affinity alongside functional potency that exceeded the clinical comparator.

Human + cyno

Cross-reactivity not achieved by comparator

Designed using generative models alone, the molecule retained binding across both species through two optimization rounds while outperforming the clinical comparator on affinity and potency. Unlike the comparator, it does not require a surrogate for primate studies.

De novo design performance

Results from newer campaigns on targets for which only a predicted structure was available.

46/46

De novo designs expressed

All 46 designed molecules expressed, allowing the screen to evaluate binding performance rather than construct failure.

>10%

Top recombinant hit rate

More than one in ten designs produced a recombinant hit, in line with published de novo design benchmarks.

14 nM

Best first-pass binder

A fully de novo VHH reached 14 nM affinity in the first design round against a target with no experimental structure available.

CAMPAIGN DELIVERABLES

What arrives at the end of a campaign

A decision-ready package built for the scientists, program teams, and leadership who need to understand what worked, what changed, and what to do next

A denoising trajectory from a diffusion run. Successive steps, from noise to a folded single-domain backbone. Alloy has developed best-in-class algorithms for sampling candidate sequences from modern protein design models.

A ranked candidate portfolio

Candidates ordered against your target product profile, spanning performance and sequence diversity, so the trade-offs stay visible instead of averaging out.

The underlying data, in full

Every measurement behind the final designs: selection and enrichment data, expression, affinity, and developability readouts on the characterized set. Your scientists get the raw table, not a summary of it.

A one-page story per candidate

What changed, what improved, what it cost elsewhere, and how far the sequence sits from your parent molecule.

A sequence-space assessment

Design neighborhoods, edit-distance distributions, liabilities, and measured properties, laid out so your counsel can see which candidates sit furthest from the parent and exactly which data supports each one. Built to be handed to a patent attorney and to your engineering team without translation.

Comparative context, where we have enough of it

Where we have run enough comparable campaigns to say something statistical, we show you the distribution. Where we have not, we tell you the sample is too small.

A recommended next step, priced

Every report closes with what we would do next and what it would cost. Including when the recommendation is to stop.

OUR COMMITMENTS

What we put in writing

Three terms in every contract, settled before any work starts.

We stand behind the process

A defined, quality-controlled workflow with named remedies written into the contract. What the biology does is measured and shared with you as we find it.

The molecules you take forward stay yours

Option a candidate and both the molecule and its data belong to you. It stays out of our models and never reaches another partner. Ours improve on our own internal campaigns.

Give your leadership more evidence to work with

Candidates materially distinct at the sequence level, each with measured properties and its design record. Counsel gets filing options now, and a start on a next-generation version of your own molecule. Patentability and freedom to operate stay theirs.

getting started

Find the right path forward

In five business days, get a focused assessment of where to start and what to do next.

Share your starting point

Bring us a molecule or a target, along with the outcome you want to achieve.

Get a computational assessment

We evaluate the design opportunity, identify the key constraints, and recommend the right path forward.

Decide whether to proceed

If you choose to move forward, we turn the assessment into a design campaign and generate the molecules and experimental data to support your next decision.