Built for life-science research

Hydra: an autonomous discovery engine for life science

Research that took a team weeks now runs from a single prompt, validated and self-corrected, in hours.

Use the platform, or have us build for you

Accelerate your research with Hydra today, or have us build and deploy custom AI to improve how your team works.

The platform

Hydra, the self-serve platform

You already know the biology. Stop waiting on the analysis.

Built for scientists who have the data but don't want to code or wait weeks for a report. Bring your data and your question. Hydra plans the analysis, runs it, and validates the result.

  • No code, nothing to set up
  • Answers in hours, not weeks
  • Scientific validation built in
Wet-lab · PhD · Research managersTry Hydra
Custom & enterprise

Custom AI workflows and enterprise deployment

Your data is your edge. We make it compound.

For biotech and pharma teams. We build custom AI workflows around your proprietary data and deploy them securely in your environment, so your science becomes a lasting advantage.

  • Custom workflows on your data
  • Secure deployment in your environment
  • Data and AI strategy
SMB biotech · Pharma R&DWork with us
Why Hydra is different

Most AI tools must be hand-steered. Hydra runs itself.

Other tools chat until you steer them to a conclusion. Hydra is built for autonomous execution, wrapped in a planning-and-validation layer that enforces scientific scrutiny while adapting to your team. It doesn't just respond. It plans, executes, and validates.

Plans

Hydra decomposes your question into a rigorous analysis plan, choosing the right datasets, methods, and controls before a single line runs.

Executes

It runs the analysis autonomously across ~100 preloaded databases and 200+ codified skills. No pipelines to wire, nothing to babysit.

Validates

A planning-and-validation layer scrutinizes every result for scientific rigor, surfacing assumptions, caveats, and confidence, not just an answer.

Plans, executes, validates. Not just chats.

See what it can answer →

The knowledge of a bioinformatics team, on tap

Breadth without the busywork. Hydra ships with the data and the know-how already inside, so analysis starts from rigor, not setup.

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Scientific databases

DepMap, TCGA, cBioPortal, and more, preloaded

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Codified skills

How bioinformatic analysis should actually be done

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Scientific domains

Oncology, genomics, proteomics, clinical & beyond

Always-on
Validation layer

Planning & scrutiny wrapped around every run

Preloaded sources include

DepMapTCGAcBioPortalUniProtChEMBLClinicalTrials.govGEOEnsemblOpen TargetsReactomeSTRINGGTExPDBKEGGDepMapTCGAcBioPortalUniProtChEMBLClinicalTrials.govGEOEnsemblOpen TargetsReactomeSTRINGGTExPDBKEGG

Ask the questions you'd ask a bioinformatics team

Each card opens a full case study: the problem, how Hydra solved it, and the data behind it.

All case studies
Molecule design

Why one ADC won

Same receptor, four drugs, one approval. Hydra worked out what separated the winner - from one prompt, in hours.

Read case study
Target discovery

Combinatorial therapy

Billions of gene pairs, no lab can test them all. We shortlist the handful worth running.

Read case study
Safety & translational

Safety signals in combinations

Two effective drugs can stack toxicities. We score which combinations actually stay safe.

Read case study
Competitive intelligence

Portfolio monitoring

Competitive landscapes go stale in weeks. We keep a live, subtype-level read you can re-run.

Read case study
Strategy & defensibility

Portfolio strategy

Costs keep rising while approvals don't. We turn your data into a compounding moat.

Read case study
Translational research

Augmenting in vivo studies

Over 90% of drugs fail, often too late. We read your in vivo results against the clinic to call it earlier.

Read case study
Interpretable AI

Novel targets & repurposing

DNA-repair-deficient gastric cancer with no BRCA mutation. A network found the driver statistics would bury - and an approved drug to hit it.

Read case study
Molecule design

ADCE-T02 vs tisotumab vedotin

Same target, opposite safety profiles. We traced every tisotumab vedotin toxicity back to the design decision that caused it, and graded how confidently ADCE-T02's redesign fixes each one.

Read case study
Food tech

Designing flavor with a graph

One molecule sits in both the spicy and the sweet shortlist. Hydra found it in a food-chemical graph, then built a chocolate bark around it.

Read case study
For companies

Your data is your edge. We make it compound.

We partner with SMB biotechs and pharma teams to build custom AI that turns proprietary science into a self-improving competitive moat that strengthens with every experiment.

Custom AI workflows

Custom agents that run your science the way your team actually runs it, on your proprietary data.

Data & AI strategy

Where your data creates leverage, what to build first, and how to compound it over time.

Bespoke development

From proof-of-concept to production, squeezing maximum insight out of the science only you have.

Guide the next experimentStrengthen a fundraiseBuild lasting defensibility

The compounding moat

Every data type connects. Tap a node to see how Hydra integrates your omics into one compounding edge.

Scientists and builders, aligned

A team that has worked with large language models since their earliest days, backed by scientific and business leaders from Harvard, MIT, and DTU.

Bogumil Zimon headshot

Bogumil Zimon

CEO & Co-Founder · MSc

5+ years building software for pharma and biotech, including Proteon Pharmaceuticals, Cirqle Biomedical, and Visiopharm. Secured PharosBio's first funding, pilots, and paying customers.

LinkedIn
Aurel Prosz headshot

Aurel Prosz

CTO & Co-Founder · PhD

Academic leader with start-up experience, specialised in data analysis and machine learning in oncology through doctoral studies at the Danish Cancer Institute. Helped build one of the first AI drug-discovery companies.

LinkedIn

Advisory board

Zoltan Szallasi headshot

Zoltan Szallasi

Scientific Advisor · PhD

  • Assistant Professor, Harvard Medical School
  • Cancer research leader in computational oncology
Frederik Madsen headshot

Frederik Madsen

Business Advisor · MBA

  • CEO of June
  • Serial entrepreneur who has built, scaled, and exited biotech companies
Thomas Crouzier headshot

Thomas Crouzier

Scientific Advisor · PhD

  • CSO of June
  • Breakthrough researcher at MIT and DTU
Partners & collaborators

Building with world-class institutions

From raw data to publication, we collaborate with leading research institutes and labs, and we're backed by commercial and institutional investors.

Research partners

University of Copenhagen
Harvard Medical School
Danish Cancer Institute
Karolinska Institutet
Technical University of Denmark (DTU)
Gubra
Erudita
Cirqle Biomedical

Backed by leading investors

Antler
BioInnovation Institute
Innovation Fund Denmark
DTU Skylab