Ben Birnbaum

Cofounder of @inductive_bio. Formerly @flatironhealth and @google.

[Ben Birnbaum @benbirnbaum]

Excited to announce our $25M Series A to bring AI + shared data to a critical bottleneck in drug discovery: designing molecules that actually work.

[Inductive Bio @inductive_bio]

Big news: Inductive has raised a $25M Series A to democratize AI that transforms small molecule drug discovery.

Our Compass platform, powered by our pre-competitive data consortium, predicts ADMET properties before synthesis - helping find higher quality drugs for patients, faster.

• Backed by @obviousvc, @a16zBioHealth, @Lux_Capital, @S32_VC & more
• 1st place in Polaris ADMET challenge
• Supporting dozens of active drug programs already

We’re just getting started.
👉 https://t.co/2wlMumNHGR

#DrugDiscovery #AI #Biotech #Pharma #InductiveBio

[Vineeta Agarwala @vintweeta]

In the Olympics of ADMET ... @inductive_bio has brought home the gold, again 🥇

To all the small molecule drug developers out there: try partnering with Inductive! A powerful AI med chemist might just become your team's MVP :) https://t.co/avwVf3C23P

Congrats to @joshhaimson @benbirnbaum and the entire team!

[Inductive Bio @inductive_bio]

We’re thrilled to announce that our latest generation of Beacon-1 ADMET models secured first place in the recent @Polaris_HQ blinded prediction challenge focused on ADMET properties in a real ASAP discovery antiviral program. Read about our lessons learned: https://t.co/CiqYuhUEX2

[Ben Birnbaum @benbirnbaum]

@AKirayoglu Thanks alphan!

[Ben Birnbaum @benbirnbaum]

Excited to announce our $25M Series A to bring AI + shared data to a critical bottleneck in drug discovery: designing molecules that actually work.

[Inductive Bio @inductive_bio]

Big news: Inductive has raised a $25M Series A to democratize AI that transforms small molecule drug discovery.

Our Compass platform, powered by our pre-competitive data consortium, predicts ADMET properties before synthesis - helping find higher quality drugs for patients, faster.

• Backed by @obviousvc, @a16zBioHealth, @Lux_Capital, @S32_VC & more
• 1st place in Polaris ADMET challenge
• Supporting dozens of active drug programs already

We’re just getting started.
👉 https://t.co/2wlMumNHGR

#DrugDiscovery #AI #Biotech #Pharma #InductiveBio

[Ben Birnbaum @benbirnbaum]

@apoorvasriniva Thanks Apoorva!

[Jay Rughani @JayRughani]

Drug design today remains a bespoke craft done through years of scientific trial-and-error. In order to develop a single approved therapy, medicinal chemists design and synthesize over 20,000 molecules -- balancing a drug’s potency with its properties of absorption, distribution, metabolism, excretion, and toxicity (ADMET). Even the most gifted “drug hunters” are constrained by the slow and costly loop of synthesize-test-repeat.

@inductive_bio turns that loop into a straight line. They are assembling a first-of-its-kind, industry-wide chemistry data consortium and training state-of-the-art AI models on these data. In doing so, they are empowering scientists with AI co-pilots that can predict many ADMET properties well before a molecule is made. Since its launch a year ago, Inductive’s Compass software product has helped industry medicinal chemists explore over one million in-silico molecule designs and accelerated the nomination of development candidates. Most recently, their models placed first among leading AI for drug discovery groups in the Polaris ADMET competition, demonstrating state-of-the-art performance.

And this is just the first step. Soon, Inductive’s AI agents won’t merely assist medicinal chemists -- they’ll originate candidates on their own, multiplying the industry’s capacity and enabling teams to pursue far more viable drug candidates in parallel.

Today, we are thrilled to deepen our partnership with Josh Haimson and Ben Birnbaum -- our old friends from Flatiron Health where we started working together in 2015 -- and to join @obviousvc, @Lux_Capital, @S32_VC, @CharacterVC , and @AminoCollective in Inductive’s Series A.

In the life sciences industry, AI presents a massive opportunity to transform how we discover, develop, and distribute new medicines. Foundation model companies will augment much of today’s work -- but the most critical tasks require vertical solutions: applications with domain-specific UI/UX, trained on proprietary datasets, embedded into user workflows, and integrated with industry infrastructure. If accelerating the development of life-changing therapies matters to you, check out Inductive Bio.

@a16z @a16zBioHealth @vintweeta

[Inductive Bio @inductive_bio]

The rapid rise of AI in drug discovery brings both new opportunities and new challenges to navigate. We’ll be exploring these topics at two sessions at @ACS Spring 2025 this year. Looking to see a demo of Inductive Bio’s latest at #ACS? https://t.co/jjxOBFqdVx

[Ben Birnbaum @benbirnbaum]

Check out our new blog post that shows how sensitive LLMs can be to the input format used in generative chemistry applications!

[Inductive Bio @inductive_bio]

LLMs’ impact in generative chemistry has been limited to date. We show that a slight change in how you ask the question, simply by switching the input from SMILES to IUPAC, can reduce invalid molecules by >90%.
Learn more: https://t.co/wLVx7rZh0Y
#GenerativeChemistry #AI #ML

[Ben Birnbaum @benbirnbaum]

Our latest blog post highlighting a result from our recent publication with Nested Therapeutics showing that ADME models trained on a combination of global and local data outperform models trained on either global or local data alone.

[Inductive Bio @inductive_bio]

Tired of the local vs. global property-prediction model debate? Why not both? Our blog dives into this debate and provides evidence that a combined global+local approach performs the best. Learn more: https://t.co/QI66EH8k8R #DrugDiscovery #ML #ADME #Biotech

[Jay Rughani @JayRughani]

High value AI application: Predicting properties of new drug candidates.

Congrats to the Nested Tx and Inductive Bio teams on this successful collaboration showing how new AI models can predict ADME properties and accelerate small molecule drug discovery.

[Inductive Bio @inductive_bio]

Thrilled to announce that our work with @nestedtx in drug optimization is now published! 🧬Our ML models helped overcome critical ADME issues to advance Nested’s program. Full story: https://t.co/Uob4kFErp7 #DrugDiscovery #ML #ADME #Biotech

[Josh Haimson @Just_Joshing]

With all of the excitement around #AlphaFold3, our team at @inductive_bio has been diving deep to understand where these advances might be useful for
#AI enabled small-molecule drug discovery in practice. Check out our latest blog to learn more: https://t.co/MhKfXYoD0W

[Ben Birnbaum @benbirnbaum]

It was fun collaborating with @alex_s_rich and @Just_Joshing on this blog post looking into how Alpha Fold 3 small molecule docking compares to existing baselines, and how that varies on more or less drug-like molecules.

[Inductive Bio @inductive_bio]

Our latest blog post on Alpha Fold 3 explores how AF3 small-molecule docking compares to existing techniques and shows that the story is more nuanced than headlines suggest. https://t.co/Y1djsj3epX

[Inductive Bio @inductive_bio]

Our latest blog post on Alpha Fold 3 explores how AF3 small-molecule docking compares to existing techniques and shows that the story is more nuanced than headlines suggest. https://t.co/Y1djsj3epX

[Carlos Aguilar @trucklos]

🚀 I'm excited to announce we're launching Hashquery today! Hashquery is a python framework for querying and building Hashboard data models and it runs right in your data warehouse.

[Ben Birnbaum @benbirnbaum]

@trucklos Excited to see this, nice work!

[Ben Birnbaum @benbirnbaum]

@GriffinAdams92 @noemieelhadad Congrats Griffin!!!

[Ben Birnbaum @benbirnbaum]

@CorinWagen @Just_Joshing Thanks Corin, that’s a great way to put it. (Credit for this particular figure belongs to @alex_s_rich.)

[Ben Birnbaum @benbirnbaum]

@ntilmans @anagenex @NimbusTx Congrats Nicolas!

[Ben Birnbaum @benbirnbaum]

@JayRughani @Just_Joshing @inductive_bio @vintweeta Great pic! So fun getting to continue our work together @JayRughani