Absci

Absci is a Vancouver, Washington-based generative AI drug creation company (NASDAQ: ABSI) using AI and synthetic biology to design de novo antibodies in silico against specified epitopes. Its Integrated Drug Creation platform couples generative AI models — including the Origin-1 antibody foundation model — with a 77,000+ sq ft wet lab running proprietary SoluPro and ACE Assay technologies, screening millions of antibody sequence variants per cycle. The data flywheel between in silico design and high-throughput wet lab validation completes in as little as six weeks and can advance from target identification to development candidate in roughly 14 months. Absci's internal pipeline includes ABS-101, an anti-TL1A antibody for inflammatory bowel disease now in Phase 1; ABS-201, a novel anti-PRLR antibody for androgenetic alopecia in the Phase 1/2a HEADLINE trial; and ABS-301, a first-in-class AI-discovered oncology antibody. Strategic partnerships span AstraZeneca, Merck, Almirall, Twist Bioscience, NVIDIA, Owkin, Caltech, and the Gates Foundation. Absci's commercial model is therapeutic development (internal pipeline plus partnered programs and royalties); there is no public developer API, SDK, or open-source release of the Origin-1 model or its drug creation platform.

Absci is profiled on the APIs.io network. Tagged areas include Drug Discovery, Biotechnology, Generative AI, Antibody Design, and De Novo Antibody Generation.

Absci’s developer surface includes YouTube channel and 14 more developer resources.

🌐 Visit website 📡 Source on GitHub

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Drug Discovery Biotechnology Generative AI Antibody DesignDe Novo Antibody GenerationAI for BiologySynthetic Biology Foundation ModelsOrigin-1Integrated Drug CreationTherapeutics NASDAQ

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 5.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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Security Posture 1

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

Absci Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 2

Status, limits, changes, and where to get help

PressReleases

PressReleases

Contact

Contact

Company 7

The organization behind the API

Website

Partnerships

About

Investors

Careers

LinkedIn

Twitter

Twitter

Scroll for all 7

Other 4

Properties that don't map to a standard resource type

Technology

Science

Pipeline

SECFilings

Source (apis.yml)

aid: absci
name: Absci
description: 'Absci is a Vancouver, Washington-based generative AI drug creation company (NASDAQ: ABSI) using AI and synthetic
  biology to design de novo antibodies in silico against specified epitopes. Its Integrated Drug Creation platform couples
  generative AI models — including the Origin-1 antibody foundation model — with a 77,000+ sq ft wet lab running proprietary
  SoluPro and ACE Assay technologies, screening millions of antibody sequence variants per cycle. The data flywheel between
  in silico design and high-throughput wet lab validation completes in as little as six weeks and can advance from target
  identification to development candidate in roughly 14 months. Absci''s internal pipeline includes ABS-101, an anti-TL1A
  antibody for inflammatory bowel disease now in Phase 1; ABS-201, a novel anti-PRLR antibody for androgenetic alopecia in
  the Phase 1/2a HEADLINE trial; and ABS-301, a first-in-class AI-discovered oncology antibody. Strategic partnerships span
  AstraZeneca, Merck, Almirall, Twist Bioscience, NVIDIA, Owkin, Caltech, and the Gates Foundation. Absci''s commercial model
  is therapeutic development (internal pipeline plus partnered programs and royalties); there is no public developer API,
  SDK, or open-source release of the Origin-1 model or its drug creation platform.'
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/absci.png
tags:
- Drug Discovery
- Biotechnology
- Generative AI
- Antibody Design
- De Novo Antibody Generation
- AI for Biology
- Synthetic Biology
- Foundation Models
- Origin-1
- Integrated Drug Creation
- Therapeutics
- NASDAQ
url: https://raw.githubusercontent.com/api-evangelist/absci/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/absci-domain-security.yml
- type: Website
  url: https://www.absci.com
- type: Technology
  url: https://www.absci.com/technology/
- type: Science
  url: https://www.absci.com/science/
- type: Pipeline
  url: https://www.absci.com/pipeline/
- type: Partnerships
  url: https://www.absci.com/partnerships/
- type: About
  url: https://www.absci.com/about/
- type: Investors
  url: https://investors.absci.com
- type: PressReleases
  url: https://investors.absci.com/news-releases
- type: SECFilings
  url: https://investors.absci.com/financial-information/sec-filings
- type: Careers
  url: https://www.absci.com/careers/
- type: Contact
  url: https://www.absci.com/contact/
- type: LinkedIn
  url: https://www.linkedin.com/company/absci
- type: Twitter
  url: https://twitter.com/Absci_AI
- type: YouTube
  url: https://www.youtube.com/@absci_AI
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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