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Indy

AI chemistry assistant automating operations, data analysis, and compound optimization for medicinal chemists.

Solution by Inductive Bio
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Overview

Indy is an AI chemistry assistant developed by Inductive Bio, designed to support medicinal chemists in advancing drug discovery programs. By automating routine operations, validating experimental data, and surfacing actionable insights, Indy enables chemistry teams to make faster, more consistent decisions and explore a greater breadth of chemical space throughout the compound optimization process.

Built on state-of-the-art machine learning models for ADMET prediction and backed by a team of drug discovery and AI experts, Indy integrates seamlessly into medicinal chemistry workflows to amplify the impact of every chemist on the team.

Automating Program Operations

  • Automatically quality-controls assay outputs to ensure dose-response curve trustworthiness and flags outliers before they can influence program decisions
  • Manages the assay screening funnel by simplifying the process of directing compounds to appropriate downstream assays
  • Mines cellular, DMPK, and structural biology data without requiring chemists to switch tools or manually search through folders
  • Produces slide-ready summaries and visualizations on demand, reducing time spent on reporting

Understanding Patterns at Scale

  • Enhances data interpretation through matched molecular pair models and continuous monitoring for unexpected structure-activity relationship (SAR) patterns
  • Visualizes how compound modifications impact multiple parameters simultaneously, including projected human pharmacokinetics, keeping the broader program picture in view
  • Applies medicinal chemistry best practices consistently to support high-quality, goal-aligned decision-making across the program

Accelerating Compound Optimization Cycles

  • Rapidly enumerates rational analogs to maximize learning from each design-make-test-analyze cycle
  • Considers synthetic tractability and reagent availability to improve efficiency in compound selection and prioritization
  • Amplifies the output of individual chemists, enabling them to evaluate orders of magnitude more hypotheses and deliver the impact of a much larger team

Indy is powered by Inductive Bio's Beacon-1 ADMET prediction platform, which won the world's largest ADMET prediction competition, and is developed by a multidisciplinary team of drug discovery and AI specialists. Teams can book a demo to explore how Indy can be added to their discovery programs.

Meta

Domain
Drug Discovery & Molecular Design
Subdomain
Generative Molecular & Biologics Design
Software type(s)
Copilot / Assistant
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Research ScientistBioinformatician / Computational ScientistMedicinal Chemist
Tag(s)
Uses AI