A platform engineered for AI-Native Pharma

AI across the entire drug development lifecycle, enabling our small team to operate at large pharma scale.

Smarter with every program

Traditional pharma starts from scratch each time. We've built an AI-native platform that improves with use: better tools, faster workflows, a sharper understanding of how drug development gets done. It turns repetition into advantage — compressing months of work into days and getting better at it with every program we run.

DelphiPredictive Intelligence

Predict what will work.

Delphi ingests scientific evidence and program intelligence to predict which drugs will succeed, model their value, and stress-test the development path. It runs continuously, contributing predictive intelligence to Atlas, Forge, and Apollo, and updates as new data flows in through our platforms or through external sources.

  • Causal-chain PTS reasoning

    Decomposes probability of technical success into exposure, target engagement, mechanism, and safety nodes, scoring each from heterogeneous evidence.

  • Indication expansion

    Independent AI models evaluate every indication for a drug across mechanism of action, competitive landscape, regulatory path, and dosing, validated against biobank data and real-world evidence.

  • Investment thesis stress-testing

    Systematically attacks the investment thesis across biological, competitive, execution, and commercial risks, and generates optimal alternative paths synthesized into a standardized asset scorecard.

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AtlasDrug Hunting

Pick better drugs.

Atlas searches, screens, and maps clinical-stage assets at a scale no human team could match, surfacing development opportunities that could otherwise be potentially overlooked.

  • Hypothesis-driven sourcing

    Defines and executes differentiated search hypotheses across clinical, market, and regulatory signals.

  • Universal-scale asset screening

    Ingests clinical-stage assets from dozens of sources, auto-enriches each with mechanism of action, trial history, genetic support, competitive positioning, and regulatory context to enable triage across the full universe of available assets for evaluation.

  • Competitive landscape mapping

    Plots every asset on a performance frontier of safety, efficacy, and commercial profile against competitors – identifying white space, me-too risk, and differentiation potential.

ForgeTrial Design

Design the best program.

Forge autonomously ideates and evaluates thousands of possible program scenarios, exploring far more approaches than an original asset owner may have considered.

  • Optimal scenario modeling

    Agents generate and evaluate thousands of possible trial designs across endpoints, populations, arms, and trial combinations to select optimal designs.

  • Endpoint intelligence

    Surfaces FDA precedent for proposed endpoints, including prior drug approvals and volume, by integrating NDA filings and Summary Basis of Approval documents – so every design decision starts with a clear regulatory picture.

  • Predictive cost & timeline modeling

    Predicts trial enrollment rate, cost, and timelines broken down by site, geography, and eligibility criteria, using ML models trained on 300,000+ precedent trials.

ApolloTrial Execution

Execute at scale.

Apollo combines proven operational experience with custom-built technology to compress clinical trials from startup through closeout.

  • Continuous data review

    Ongoing, automated review of incoming trial data catches anomalies and quality issues at the source before they compound into database errors.

  • Site monitoring

    Real-time visibility into site performance, enrollment, and protocol compliance augments periodic site visits to surface drift weeks earlier than traditional approaches.

  • Cross-site signal detection

    Trial data is reviewed continuously across sites to catch patterns and outliers no single site visit could detect, shifting oversight from reactive to proactive.

ARKAI Operating Platform

Tie it all together with an AI operating system.

ARK is Formation Bio's AI orchestration platform connecting all internal systems and data, and giving every employee the ability to build the workflows they need – the connective tissue that makes the rest of the platform possible.

  • Universal systems & data access

    ARK connects 80+ internal systems and data sources, giving each employee a single governed interface to query, analyze, and create custom workflows.

  • Composable by design

    ARK lowers the barrier to creating tools for all employees. Instead of one-off scripts, the organization grows a library of focused, reusable building blocks.

  • Governed and auditable

    Agents inherit the permissions, access controls, and audit trails of the underlying systems they touch – operating within the same guardrails as the people using them.

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Data PlatformThe Foundation

One governed data layer powering every system.

Each drug program benefits from data science investments in acquiring, cleaning, and utilizing expansive datasets across both public and purchased data.

  • Reach across the evidence landscape

    Coverage spanning 720,000+ clinical trials, 150M+ real-world patients, 4.6M+ papers, 290K+ deals, and more form a deep knowledge layer.

  • Canonical ontology layer

    Evidence arrives fragmented and inconsistently labeled, harmonized here into a scientific query layer. 99.5% less manual reconciliation, and ~200K+ drug names de-duped.

  • Shared intelligence foundation

    Atlas, Delphi, Forge, Apollo, and ARK all reason over the same curated evidence base, ensuring every tool operates from consistent intelligence across the development lifecycle.

Interested in joining our team? Visit our Careers page.

Careers