Your AI chemistry assistant
Automate critical operational tasks to keep your program on track, while allowing you to focus on higher-impact work. Indy QCs your assay data as it lands, digests CRO decks, analyzes SAR, enumerates analogs, and builds your figures and project update decks.
Rigorous scientific decision making is limited by bandwidth
A program turns on thousands of small decisions a week, and the volume of routine work means few of them get the rigor the team would want. QCing new assay data, rebuilding SAR tables, analyzing data, tracking the synthesis queue, designing singletons, running computational pipelines, assessing synthetic tractability, and more all take time that teams often don’t have.
Double your capacity with an AI chemistry assistant
Indy takes on the tasks that consume medicinal chemists' time but not their creativity. Do I trust the data from this assay? What does the new data tell us about SAR? Are our synthetic resources focused on the right targets?
Indy works through these questions continuously, for every compound and every series, at a level of detail teams rarely have the resourcing to reach. QC on assay data as it lands. SAR read across the full series, not just the compounds in front of you. Analogs enumerated, routes scoped, program operations kept current.
Indy learned how from some of the best drug hunters in the industry rather than from a general model of chemistry. Indy connects to your existing systems and fits the workflows your chemists already use.
[how it works]
What Indy does
Data QC
Flags outliers, discordant replicates, and curve-fit failures as new assay data lands, before a bad number reaches a design decision.
SAR analysis
Runs matched molecular pair analysis across a series and shows how a change moves each parameter and the projected dose together, producing the figures you use to track your leaderboard.
Design and enumeration
Enumerates rational analogs around a series, weighing synthetic tractability and reagent availability, so one chemist can evaluate far more hypotheses each cycle.
Program operations
Keeps the synthesis queue current against your ELN, extracts structures and results from CRO decks, and assembles the weekly summary.
[evidence]
Indy leads against frontier agents in benchmarks that matter to chemists
On 84 dose-response curves from live programs, Indy caught 91% of the known quality issues. Claude Opus 5 and GPT-5.6 Sol caught 33% to 54% and missed every nonzero baseline and every improper Hill slope even when handed a checklist of what to look for. Asked for a hydroxyl walk, both proposed N,O-hemiaminals without comment, though both call them unstable in water when asked directly. Indy flagged them and recommended leaving them out.
For its predictions, Indy leverages our validated, state-of-the-art Beacon models, which have placed first in three consecutive blind benchmarking challenges.
Partnering with Inductive has helped our program move faster. Indy understands how small molecule discovery actually works, handling the day-to-day work of surfacing and QC’ing new data, analyzing SAR, and managing our synthesis queue.
Nicholas Perl, PhD
Head of Chemistry, Anvia Therapeutics
Double your capacity to accomplish more science with greater confidence
