Iambic Therapeutics website screenshot

Iambic Therapeutics

Iambic Therapeutics is a clinical-stage AI drug discovery company headquartered in San Diego. Its proprietary AI platform pairs the NeuralPLexer 3D generative model for protein-ligand structure prediction with the Enchant multimodal transformer for clinical and preclinical endpoint prediction, integrated with automated wet-lab capabilities. Iambic's clinical pipeline includes IAM1363 (HER2), IAM-K1 (KIF18A), and IAM-C1 (CDK2/4) in oncology. Iambic is a therapeutics developer rather than an API provider and does not publish a public developer API or open-source platform.

Iambic Therapeutics is profiled on the APIs.io network. Tagged areas include Drug Discovery, AI for Science, Therapeutics, Biotech, and Oncology.

Iambic Therapeutics’ developer surface includes engineering blog, authentication, and 10 more developer resources.

10.9/100 minimal ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs 4 Features 3 Use Cases
Drug DiscoveryAI for ScienceTherapeuticsBiotechOncologyClinical-Stage PipelineGenerative ChemistryStructural Biology

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 10.9/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 2.6 / 20
Commercial Clarity 1.6 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/iambic: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Features 4

Notable capabilities this provider offers.

NeuralPLexer

3D generative model that predicts protein-ligand complex structures directly from amino acid sequence and ligand graph inputs, reported in Nature Machine Intelligence with state...

Enchant

Multimodal transformer that predicts clinical and preclinical endpoints from molecular structures.

Automated Wet-Lab Integration

Closed-loop coupling of AI design with high-throughput automated wet-lab synthesis and assay capabilities.

Brain-Penetrant Small Molecules

Programs such as IAM1363 designed to cross the blood-brain barrier for CNS and brain-metastatic oncology indications.

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Iambic Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Use Cases 3

What developers build with this provider.

AI-Driven Small-Molecule Design

End-to-end design of novel small-molecule therapeutics using generative AI.

Protein-Ligand Structure Prediction

Structural prediction to support hit discovery and lead optimization.

Clinical Endpoint Prediction

Machine-learning prediction of preclinical and clinical endpoints to guide program selection.

Resources

Access & Security 3

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 7

The organization behind the API

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Other 7

Properties that don't map to a standard resource type

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Source (apis.yml)

apis.yml Raw ↑
aid: iambic
url: https://raw.githubusercontent.com/api-evangelist/iambic/refs/heads/main/apis.yml
name: Iambic Therapeutics
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/iambic.png
description: Iambic Therapeutics is a clinical-stage AI drug discovery company headquartered in San Diego. Its proprietary
  AI platform pairs the NeuralPLexer 3D generative model for protein-ligand structure prediction with the Enchant multimodal
  transformer for clinical and preclinical endpoint prediction, integrated with automated wet-lab capabilities. Iambic's clinical
  pipeline includes IAM1363 (HER2), IAM-K1 (KIF18A), and IAM-C1 (CDK2/4) in oncology. Iambic is a therapeutics developer rather
  than an API provider and does not publish a public developer API or open-source platform.
tags:
- Drug Discovery
- AI for Science
- Therapeutics
- Biotech
- Oncology
- Clinical-Stage Pipeline
- Generative Chemistry
- Structural Biology
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis: []
common:
- type: DomainSecurity
  url: security/iambic-domain-security.yml
- type: Website
  url: https://www.iambic.ai/
- type: Pipeline
  url: https://www.iambic.ai/pipeline
- type: Platform
  url: https://www.iambic.ai/platform
- type: Newsroom
  url: https://www.iambic.ai/news
- type: Publications
  url: https://www.iambic.ai/publications
- type: Careers
  url: https://www.iambic.ai/careers
- type: Contact
  url: https://www.iambic.ai/contact
- type: Email
  url: mailto:contact@iambic.ai
- type: LinkedIn
  url: https://www.linkedin.com/company/iambictherapeutics
- type: Twitter
  url: https://twitter.com/iambictx
- url: https://www.iambic.ai/news
  type: Blog
- type: Features
  data:
  - name: NeuralPLexer
    description: 3D generative model that predicts protein-ligand complex structures directly from amino acid sequence and
      ligand graph inputs, reported in Nature Machine Intelligence with state-of-the-art docking and binding-site performance.
  - name: Enchant
    description: Multimodal transformer that predicts clinical and preclinical endpoints from molecular structures.
  - name: Automated Wet-Lab Integration
    description: Closed-loop coupling of AI design with high-throughput automated wet-lab synthesis and assay capabilities.
  - name: Brain-Penetrant Small Molecules
    description: Programs such as IAM1363 designed to cross the blood-brain barrier for CNS and brain-metastatic oncology
      indications.
- type: Pipeline
  data:
  - name: IAM1363 (HER2)
    description: Brain-penetrant HER2 inhibitor showing anti-tumor activity in Phase 1b clinical trials.
  - name: IAM-K1 (KIF18A)
    description: Potential best-in-class KIF18A inhibitor for breast and ovarian cancers.
  - name: IAM-C1 (CDK2/4)
    description: Selective CDK2/4 inhibitor for HR+/HER2- metastatic breast cancer.
- type: UseCases
  data:
  - name: AI-Driven Small-Molecule Design
    description: End-to-end design of novel small-molecule therapeutics using generative AI.
  - name: Protein-Ligand Structure Prediction
    description: Structural prediction to support hit discovery and lead optimization.
  - name: Clinical Endpoint Prediction
    description: Machine-learning prediction of preclinical and clinical endpoints to guide program selection.
- type: Partnerships
  data:
  - name: Takeda
    description: Multi-year collaboration announced February 2026 to apply Iambic's AI-driven drug discovery platform to Takeda's
      small-molecule R&D in oncology, gastrointestinal, and inflammation. Includes an undisclosed upfront payment plus research
      funding, with up to $1.7B in development and sales milestones and royalties on resulting products.
- type: Recognition
  data:
  - name: CNBC Disruptor 50
    description: Named to the CNBC Disruptor 50 list.
  - name: Conference Presentations
    description: Presented at industry conferences including the JPMorgan Healthcare Conference, Galien Forum, and AIAS.
- type: Authentication
  data:
  - name: No Public Developer API
    description: Iambic Therapeutics does not publish a public developer API, SDK, or open-source platform. Engagement is
      through pharma partnerships and the company's internal R&D pipeline.
- type: Compliance
  data:
  - name: GxP Drug Development
    description: Operates within standard pharmaceutical regulatory frameworks (GLP, GMP, GCP) for clinical-stage drug development.
- type: Facilities
  data:
  - name: San Diego Headquarters
    description: Headquartered in San Diego, California with AI, computational chemistry, and automated wet-lab facilities.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com