Better development candidates, faster.
Inductive empowers your team to evaluate chemistry ideas at a scale that changes what’s possible. By pairing scientists with a virtual lab, your team can run millions of in silico experiments to predict how molecules will behave in the body and surface the strongest hypotheses to test in the wet lab.
Trusted by leading biotechs
A virtual lab to amplify scientific exploration
Guided by human chemists, AI chemistry assistants run millions of experiments on models of human biology to test hypotheses at unprecedented scale, surfacing the strongest ideas to advance into the wet lab.
Beacon-1, the gold standard of ADMET models
Our Beacon-1 class of AI models are built for real-world heterogenous ADMET data, trained on a pre-competitive data consortium, and fine-tuned to your chemical space to deliver predictions with state-of-the-art accuracy.
Compass, your virtual lab bench
Our Compass software gives you direct access to run virtual experiments, review predictions, and decide what to synthesize in real time.
Three consecutive 1st place finishes in the world's largest ADMET benchmarks
1st place in OpenADMET's 2026 blind PXR induction challenge
Inductive's Beacon-1 secured 1st place in OpenADMET's blind PXR induction challenge, surpassing over 350 entries in predicting this key ADMET liability.
1st place in OpenADMET’s 2026 blind ADMET competition with ExpansionRx
Inductive’s Beacon-1 won the OpenADMET and ExpansionRx blind challenge, outperforming 370+ submissions across 9 endpoints and 2,250 compounds.
1st place in OpenADMET’s 2025 blind competition with ASAP
Inductive’s Beacon-1 won the Polaris Ligand ADMET competition, beating 39 top AI drug discovery teams in predicting ADMET for a coronavirus protease program.
Industry-wide data as a foundation
Our rapidly growing pre-competitive ADMET consortium securely combines large, diverse datasets from across the industry, powering accurate predictions across chemical space.
Working with Inductive
Guide your programs with Compass
Compass puts a virtual lab directly into your team’s hands to guide each design cycle toward the most promising compounds.
Expand your team with Inductive experts
Bring Inductive’s chemistry team to operate the virtual lab alongside you, running experiments and delivering curated compound ideas tailored to your design strategy.
Close the loop between the virtual and wet lab
We partner with select CROs to synthesize and test your best compounds from the virtual lab, providing end-to-end program acceleration in a tight, AI-informed feedback loop.
Track record of delivery
Dozens of partners
Inductive supports discovery efforts across therapeutic areas, with virtual labs advancing a wide range of small molecule modalities.
“Designing compounds with optimal ADMET properties is a fundamental challenge in drug discovery. This is where predictive AI tools can have a real impact. By accurately predicting ADMET properties in real time, Inductive’s platform helps our chemistry team design higher-quality compounds before investing resources in complex synthesis.”
Brock Shireman, Ph.D.SVP of Small Molecule Drug Discovery
“Inductive’s predictions allow us to front-load critical ADMET insights and accelerate our design-make-test cycles. We've saved time and reduced costs by prioritizing the most viable and high-quality compounds for synthesis, making every design cycle more impactful. We also use their solubility model to ensure compounds will behave well in screening assays, speeding up each design cycle by predicting solubility rather than waiting for it to be measured.”
Aaron Frank, Ph.D.Director and Head of Computational Chemistry
“The Inductive ML platform has greatly aided the optimization of ADMET properties for our lead program. As a small biotech company, it is great to leverage thousands of consortium data points to help drive the design of improved molecules. The platform interface is extremely user friendly and provides a great tool for the chemistry team to rapidly model and communicate ideas. The Inductive team, including a “chemist in the loop” and ML engineer, is also actively engaged and have greatly facilitated the use of the tools and made substantial contributions to the design process. All combined, the Inductive platform and team have helped Belharra to rapidly progress our lead program.”
Justin Ernst, Ph.D.SVP & Head of Chemistry
"Inductive has become an essential part of our design and prioritization workflow, helping us effectively balance ADMET tradeoffs in our designs, confidently screen out compounds unlikely to advance the program, and streamline our testing cascade thanks to their spot-on permeability predictions. Inductive’s intuitive interface has also expanded participation in compound design discussions, leading to stronger decisions with every design cycle."
Amy Hart, Ph.D.VP Chemistry
“We use Inductive in the discovery design process to bring an early focus on compound properties with the aim to avoid designing suboptimal molecular features that can cost time and money down the line to correct. Inductive’s ADMET models, especially for metabolic stability, have become a core part of how we triage ideas and prioritize the most promising molecules. It’s not about replacing intuition, it’s about removing bias and seeing around corners to move faster and with more confidence.”
Joe Patel, Ph.D.VP Head of Discovery
“We have been impressed by Inductive Bio and the quality of their ADMET models for some time, which is why we selected them as a partner to help accelerate our next‑generation, CNS‑penetrant HDAC6 inhibitor program.
By combining Augustine Therapeutics’ differentiated HDAC6 inhibitor chemistry with Inductive’s embedded experts and advanced AI/ML capabilities, we aim to move faster and with greater confidence as we work to develop new therapies for neuromuscular and neurodegenerative diseases."
Frederik Rombouts, Ph.D.Vice President,
Head of Drug Discovery
"Compass has quickly become part of our weekly design workflow. We use it to triage structural ideas in real time, discovering which directions are worth pursuing based on the dynamically updating predicted ADME and in vivo exposure. The interface is intuitive and streamlined, delivering actionable insights that save us real time and money. The Inductive team is also highly engaged. They proactively monitor model performance and retrain models as new data comes in, so we always know the predictions we're acting on are reliable and informed by our most recent experiments."
Adam Talbot, Ph.D.Head of Medicinal Chemistry
“Light Horse has been pleased to collaborate with Inductive Bio and integrate their innovative platform into our research workflows. The InductiveBio team has developed an impressive tool for predicting small molecule ADME properties that generates a meaningful insight "on the fly". This highly practical and user friendly tool includes insights into early human PK predictions, thus enabling our researchers to make more informed trade-off decisions with greater speed and confidence. Beyond the strength of the technology itself, the Inductive Bio team has been exceptionally responsive, collaborative, and open to feedback. Their willingness to engage closely with our users and continuously improve the platform has made them a valuable partner."
Christoph Zapf, Ph.D.VP of Chemistry
"Inductive Bio has one focus: using AI to help medicinal chemists design better molecules. We're making fewer molecules to get better answers, saving cost and time on the way to a development candidate. Their models keep getting more predictive of our own in vitro ADME data. It's a low-cost, easy service to work with, and we plan to keep going."
Richard Austin, Ph.D.CEO and President
“The Compass product has considerably improved our decision making, but what sets Inductive apart is the depth of real world collaboration. The team is highly responsive and brings deep medicinal chemistry and ADMET/PK judgment to the table. The biggest thing for us has been to help us prioritize experiments and new compounds to synthesize. This has been especially helpful when our resources were limited. Inductive has helped us move faster with more confidence because they thoroughly understand the stage we’re at.”
Tim Peterson, Ph.D.CEO
“Inductive’s ADME prediction tools have become an essential part of our compound design workflow, especially for the prediction of permeability and bioavailability. The interface is intuitive and easy to adopt and has made ML-guided prioritization a seamless part of our structure-based design process. Compass helps us make more informed decisions at each design cycle.”
Jason Crawford, Ph.D.Executive VP, Drug Discovery
“We’re proud to collaborate with Inductive Bio, Cincinnati Children's, Baylor College of Medicine, Torch Bio, and Advanced Research Projects Agency for Health (ARPA-H) on this ambitious effort to apply AI/ML to improve safety and ADME-Tox prediction.”
Howard Chang, M.D., Ph.D.Chief Scientific Officer and SVP Global Research, Amgen"Inductive Bio's models help us allocate synthetic resources efficiently by prioritizing compounds with favorable properties and avoid making those that are likely to be insoluble, impermeable, or metabolic unstable. We've been impressed with the accuracy and reliability of model performance even for highly novel scaffolds with no literature precedents. The Compass software really stands out for its intuitive design, is fun to use, and easily integrates into our design workflows. The Inductive team is also super responsive - they proactively monitor model performance and deliver weekly updates as new data is generated, ensuring that we always have the most reliable tools to drive design decisions."
Yong Zhang, Ph.D.Head of Platform, Senior Director
Uncompromising Security
Secure by design
Our SOC 2 compliant systems meet rigorous security standards and are engineered to protect sensitive data at every layer.
Your IP stays your IP
You retain complete ownership of your IP and all designs generated.
Complete confidentiality
All proprietary information and data are rigorously protected and are never disclosed to any third-parties.
Meet the team, scientific leaders, and investors supporting Inductive.
