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Verified July 24, 2026AI Drug Discovery

Insilico Medicine

Insilico Medicine / insilico.com

AI-powered drug discovery company that uses generative AI and deep learning to design novel drug candidates, predict target biology, and accelerate the path from target identification to clinical trials.

Pricing

Free

Free plan

No

Category

Developer Tools

Platforms

2

Free plan

No

API access

Yes

Open source

No

Platforms

2

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What is Insilico Medicine?

Insilico Medicine is one of the leading AI drug discovery companies, using generative AI and deep learning to design novel drug candidates from scratch rather than only screening existing compound libraries. Its Chemistry42 platform generates novel molecule structures optimised for specific target proteins and desired drug properties including potency, selectivity, and ADMET (absorption, distribution, metabolism, excretion, toxicity) profiles.

The most notable validation of Insilico's approach is INS018_055, a novel anti-fibrosis drug candidate discovered and designed entirely by AI with no prior pharmacological knowledge used in the design process. This compound entered Phase 2 clinical trials in 2023, making Insilico the first company to advance a fully AI-designed drug candidate to this stage.

Target ID uses AI to identify novel biological targets for specific diseases by analysing genomic, proteomic, and clinical data. PandaOmics, the target identification platform, has suggested novel targets for diseases including Parkinson's, ALS, and kidney fibrosis.

Insilico partners with pharmaceutical companies including Pfizer, Sanofi, and Pfizer to apply its AI platform to their drug discovery programmes. The company is listed on NASDAQ (ILAB), providing financial transparency.

drug-discoveryaipharmaceuticalgenerative-chemistrybiotechclinical
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How Insilico Medicine works

Insilico Medicine runs as ml platform software built around data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api, with API access for teams that want to embed it into their own products.

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Insilico Medicine.

01

Chemistry42

Generative AI platform that designs novel drug candidate molecules from scratch, optimised for specific target proteins and desired ADMET and potency properties.

02

AI target identification

PandaOmics analyses genomic, proteomic, and clinical data to identify novel biological targets for diseases including Parkinson's, ALS, and kidney fibrosis.

03

First AI clinical trial

INS018_055, a novel anti-fibrosis compound discovered and designed entirely by AI, entered Phase 2 clinical trials — the most advanced AI-designed drug in human trials.

Chemistry42 (generative AI molecule design)PandaOmics (AI target identification)INS018_055 Phase 2 clinical programmeADMET property predictionGenerative chemistryTarget biology analysisMulti-omics data integrationDrug repurposing AIClinical trial outcome predictionPartnership research programmes

Best use cases

AI-first novel drug candidate design
Target identification for specific diseases
Drug repurposing
ADMET property optimisation
Preclinical research acceleration

Who should use it

Pharmaceutical companies
Biotech companies
Academic research institutions
Drug discovery CROs
Oncology and CNS research teams

Pros

  • INS018_055 in Phase 2 clinical trials is the most advanced AI-designed drug in human trials
  • Chemistry42 generative AI designs novel molecules rather than only screening existing libraries
  • First company to advance a fully AI-designed drug candidate to clinical trials
  • NASDAQ listing (ILAB) provides financial transparency for pharma partnership assessment

Cons

  • Drug discovery is inherently long-cycle — AI acceleration is still measured in years, not weeks
  • Clinical success probability remains uncertain — most drug candidates fail in clinical trials
  • Enterprise partnership model means capabilities are not broadly accessible as a self-serve platform

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Pricing Analysis

Is it worth the price?

Enterprise and institutional licensing for pharmaceutical partners. No public access. Public company listed on NASDAQ.

Model

Enterprise

Starting price

Free

Free trial

No

Similar Tools

Tools like Insilico Medicine

Recursion Pharmaceuticals is a direct competitor in AI drug discovery with biological data focus. Schrödinger is a computational chemistry platform used in drug discovery. AbSci provides AI for antibody drug design. Exscientia is a strong European competitor.

Comparison

Insilico Medicine vs Hugging Face

A side-by-side look at the closest alternative in this category.

Insilico Medicine favicon

Insilico Medicine

Insilico Medicine

Hugging Face favicon

Hugging Face

Hugging Face

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI Drug Discovery
AI Model Hub
Company
Insilico Medicine
Hugging Face
Status
Active
Active
Launch year
2014
2016
Tags
drug-discoveryaipharmaceuticalgenerative-chemistrybiotechclinical
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
FreeBest value
$9/mo
Pricing model
Enterprise
Freemium
Free plan
No
Yes
Free trial
✕
✕
Pricing notes

Enterprise and institutional licensing for pharmaceutical partners. No public access. Public company listed on NASDAQ.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
AI-first novel drug candidate designTarget identification for specific diseasesDrug repurposingADMET property optimisationPreclinical research acceleration
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
Pharmaceutical companiesBiotech companiesAcademic research institutionsDrug discovery CROsOncology and CNS research teams
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
ML Platform
ML Platform
Modalities
Data
TextImageAudioVideoCode
Technical
Model provider
Insilico
Open Source Community
Model names
Chemistry42PandaOmics
LlamaMistralStable DiffusionFLUXWhisper
API available
✓
✓
Open source
✕
✓
Deployment
SaaSEnterprise partnership
SaaSAPIOpen Source
Platforms
WebAPI
WebPython library
Integrations
Major pharmaceutical ERP and research systemsAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✕
✓
Trust & security
Security

Enterprise research data handling agreements. GDPR compliant. Research use data protected under partnership terms.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

Drug discovery research data processed under enterprise partnership data handling agreements. Review applicable regulatory requirements for clinical programme data.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • INS018_055 in Phase 2 clinical trials is the most advanced AI-designed drug in human trials
  • Chemistry42 generative AI designs novel molecules rather than only screening existing libraries
  • First company to advance a fully AI-designed drug candidate to clinical trials
  • NASDAQ listing (ILAB) provides financial transparency for pharma partnership assessment
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • Drug discovery is inherently long-cycle — AI acceleration is still measured in years, not weeks
  • Clinical success probability remains uncertain — most drug candidates fail in clinical trials
  • Enterprise partnership model means capabilities are not broadly accessible as a self-serve platform
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Insilico

Models

Chemistry42, PandaOmics

Platforms

Web, API

Deployment

SaaS, Enterprise partnership

Integrations

Major pharmaceutical ERP and research systems, API

Team Collaboration

No

Launch Year

2014

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

Enterprise research data handling agreements. GDPR compliant. Research use data protected under partnership terms.

Drug discovery research data processed under enterprise partnership data handling agreements. Review applicable regulatory requirements for clinical programme data.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

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FAQ

Common questions about Insilico Medicine

No, enterprise and institutional partnership model. Academic access may be available through research programmes.

Editorial Verdict

Should you use Insilico Medicine?

Insilico Medicine is the most validated AI drug discovery company with Phase 2 clinical evidence, best positioned as a pharmaceutical research partner for companies wanting to apply AI to novel target-based drug design.

Last verified July 24, 2026.

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