Iambic Therapeutics website screenshot

Iambic Therapeutics

Iambic Therapeutics is a San Diego, California AI-driven drug discovery company founded in 2019 by Thomas Miller (CEO) and Fred Manby (CTO) that designs small-molecule therapeutics for oncology and other indications. Iambic builds proprietary AI models for drug discovery, including Enchant, a multimodal transformer that predicts clinical properties (pharmacokinetics, cellular and biochemical activity) of candidate molecules from early discovery data, and NeuralPLexer (now NeuralPLexer3), a flow-based generative model for protein-ligand complex structure prediction used to identify cryptic pockets and guide structure-based design. Both lines of work have been published at venues including NeurIPS 2025. The company's internal pipeline is oncology-led: IAM1363, a brain-penetrant selective HER2 / HER2-mutant inhibitor, completed Phase 1/1b dose escalation in 2025 and is in dose optimization with clinical activity reported at ESMO 2025; IAM-K1 (KIF18A) and IAM-C1 (CDK2/4) are preclinical, alongside undisclosed neurology, gastrointestinal, and inflammation discovery programs. In February 2026 Iambic announced a discovery and technology collaboration with Takeda worth up to ~$1.7B plus royalties, following a $100M+ private financing in November 2025 and total disclosed funding of approximately $334M. The company has been named to the CNBC Disruptor 50 list in 2025 and 2026 and has signaled intent to access public markets, including via a SPAC. Iambic's public GitHub footprint is limited to np-bench, a BSD-3 benchmark library for 3D biomolecular structure prediction; the underlying NeuralPLexer and Enchant models are proprietary and there is no public developer API, SDK, or commercial platform offering.

Iambic Therapeutics is profiled on the APIs.io network. Tagged areas include AI Drug Discovery, Drug Discovery, Therapeutics, Oncology, and Small Molecules.

Iambic Therapeutics’ developer surface includes product news, GitHub presence, engineering blog, and 16 more developer resources.

7.9/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
AI Drug DiscoveryDrug DiscoveryTherapeuticsOncologySmall MoleculesHER2KIF18ACDK2 CDK4Multimodal TransformersStructure PredictionProtein LigandEnchantNeuralPLexerBiotechSan Diego

Kin Score

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scored 2026-07-27 · rubric v0.5
Composite quality — 7.9/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 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-tx: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Iambic Tx Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

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 9

Properties that don't map to a standard resource type

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Source (apis.yml)

apis.yml Raw ↑
aid: iambic-tx
name: Iambic Therapeutics
description: 'Iambic Therapeutics is a San Diego, California AI-driven drug discovery company founded in 2019 by Thomas Miller
  (CEO) and Fred Manby (CTO) that designs small-molecule therapeutics for oncology and other indications. Iambic builds proprietary
  AI models for drug discovery, including Enchant, a multimodal transformer that predicts clinical properties (pharmacokinetics,
  cellular and biochemical activity) of candidate molecules from early discovery data, and NeuralPLexer (now NeuralPLexer3),
  a flow-based generative model for protein-ligand complex structure prediction used to identify cryptic pockets and guide
  structure-based design. Both lines of work have been published at venues including NeurIPS 2025. The company''s internal
  pipeline is oncology-led: IAM1363, a brain-penetrant selective HER2 / HER2-mutant inhibitor, completed Phase 1/1b dose escalation
  in 2025 and is in dose optimization with clinical activity reported at ESMO 2025; IAM-K1 (KIF18A) and IAM-C1 (CDK2/4) are
  preclinical, alongside undisclosed neurology, gastrointestinal, and inflammation discovery programs. In February 2026 Iambic
  announced a discovery and technology collaboration with Takeda worth up to ~$1.7B plus royalties, following a $100M+ private
  financing in November 2025 and total disclosed funding of approximately $334M. The company has been named to the CNBC Disruptor
  50 list in 2025 and 2026 and has signaled intent to access public markets, including via a SPAC. Iambic''s public GitHub
  footprint is limited to np-bench, a BSD-3 benchmark library for 3D biomolecular structure prediction; the underlying NeuralPLexer
  and Enchant models are proprietary and there is no public developer API, SDK, or commercial platform offering.'
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
position: Provider
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/iambic-tx.png
tags:
- AI Drug Discovery
- Drug Discovery
- Therapeutics
- Oncology
- Small Molecules
- HER2
- KIF18A
- CDK2 CDK4
- Multimodal Transformers
- Structure Prediction
- Protein Ligand
- Enchant
- NeuralPLexer
- Biotech
- San Diego
url: https://raw.githubusercontent.com/api-evangelist/iambic-tx/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.20'
apis: []
common:
- type: DomainSecurity
  url: security/iambic-tx-domain-security.yml
- type: Website
  url: https://www.iambic.ai
- type: Platform
  url: https://www.iambic.ai/platform
- type: Pipeline
  url: https://www.iambic.ai/pipeline
- type: Partners
  url: https://www.iambic.ai/partners
- type: About
  url: https://www.iambic.ai/about
- type: News
  url: https://www.iambic.ai/news
- type: Careers
  url: https://www.iambic.ai/careers
- type: Contact
  url: https://www.iambic.ai/contact
- type: Enchant
  url: https://www.iambic.ai/post/enchant-announcement
- type: EnchantV2
  url: https://www.iambic.ai/post/iambic-announces-enchant-v2-its-next-generation-ai-model-for-predicting-the-clinical-viability-of-drug-discovery-programs
- type: NeuralPLexer
  url: https://www.iambic.ai/post/neuralplexer
- type: TakedaCollaboration
  url: https://www.iambic.ai/post/iambic-announces-collaboration-with-takeda
- type: IAM1363ESMO
  url: https://www.iambic.ai/post/esmo-iam1363
- type: IAM1363DoseEscalation
  url: https://www.iambic.ai/post/dose-escalation
- type: GitHub
  url: https://github.com/iambic-therapeutics
- type: NPBench
  url: https://github.com/iambic-therapeutics/np-bench
- type: LinkedIn
  url: https://www.linkedin.com/company/iambic-therapeutics
- url: https://www.iambic.ai/news
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com