Cradle

aid: cradle-bio
name: Cradle
description: Cradle is a Dutch–Swiss biotechnology software company founded in 2021 with headquarters in Amsterdam and an
  office in Zurich, building an AI-powered protein engineering platform for industrial biotech and biopharma R&D teams. The
  platform combines proprietary generative AI models — trained on billions of natural protein sequences and on data produced
  in Cradle's own Amsterdam wet lab — with a web application and REST API/Python SDK so that scientists can design, simulate,
  and co-optimize amino-acid sequence variants across multiple measurable properties such as activity, binding affinity, stability,
  expression, and developability. Core platform capabilities include AI candidate generation, multi-property co-optimization,
  virtual plate design, experimental data management with full versioning and audit trails, task orchestration (analyze data,
  diversify, engineer, select, search, train) across modalities including antibodies/mAbs, enzymes, vaccines, therapeutic
  peptides, and food ingredients, plus a Custom Predictors framework letting customers plug in their own ML models. Cradle
  is sold as enterprise SaaS to R&D organizations — disclosed customers and partners include Johnson & Johnson Janssen, Bayer,
  Novozymes/Novonesis, and Twist Bioscience, with the platform serving six of the top 25 global pharma companies and over
  50 active R&D programs. The company has raised approximately $115M to date across a seed round (Index Ventures, 2022), a
  $24M Series A (Index Ventures, 2023), and a $73M Series B (IVP, 2024). Co-founders are Stef van Grieken (CEO), Jelle Prins,
  Elise de Reus, Eli Bixby, and Harmen van Rossum.
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/cradle-bio.png
tags:
- Protein Engineering
- Generative Biology
- Generative AI
- Foundation Models
- Machine-Learning
- Biotechnology
- Biopharma
- Drug Discovery
- Antibody Discovery
- Enzyme Engineering
- Vaccines
- Therapeutic Peptides
- Industrial Biotech
- Synthetic Biology
- Computational Biology
- Wet Lab
- Life Sciences
- Custom Predictors
tags_raw:
- Protein Engineering
- Generative Biology
- Generative AI
- Foundation Models
- Machine Learning
- Biotechnology
- Biopharma
- Drug Discovery
- Antibody Discovery
- Enzyme Engineering
- Vaccines
- Therapeutic Peptides
- Industrial Biotech
- Synthetic Biology
- Computational Biology
- Wet Lab
- Life Sciences
- Custom Predictors
url: https://raw.githubusercontent.com/api-evangelist/cradle-bio/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.23'
apis:
- aid: cradle-bio:cradle-platform-api
  name: Cradle Platform API
  tags:
  - Protein Engineering
  - Workspaces
  - Project
  - Rounds
  - Data Management
  - Tables
  - Data Loads
  - Artifacts
  - Task
  - Audit Logs
  - Custom Predictors
  tags_raw:
  - Protein Engineering
  - Workspaces
  - Projects
  - Rounds
  - Data Management
  - Tables
  - Data Loads
  - Artifacts
  - Tasks
  - Audit Logs
  - Custom Predictors
  humanURL: https://docs.cradle.bio/api/
  baseURL: https://app.cradle.bio/v2
  properties:
  - type: Documentation
    url: https://docs.cradle.bio/api/
  - type: GettingStarted
    url: https://docs.cradle.bio/docs/getting-started/overview/
  - type: SDKs
    url: https://docs.cradle.bio/sdk/cradle/sdk/
  - type: PythonSDKPackage
    url: https://pypi.org/project/cradle-sdk/
  - type: CustomPredictorTemplate
    url: https://github.com/cradlebio/custom-predictor-template
  - type: Login
    url: https://app.cradle.bio
  description: The Cradle Platform API is an enterprise REST API for programmatic access to Cradle's AI-driven protein engineering
    platform. It is organized under per-workspace v2 endpoints and exposes resource groups for Workspaces, Projects, Rounds,
    Data Management, Tables, Data Loads (file upload/download with finalize, undo, and redo), Artifacts, Tasks, Audit Logs,
    and Custom Predictors. Task creation endpoints (analyze-data/v2, diversify/v2, engineer/v2, select/v2, search/v2, train/v2)
    drive Cradle's core generative protein workflows — sequence diversification, multi-property co-optimization, candidate
    selection, similarity search, and model fine-tuning — and return artifacts that can be inspected, pulled into custom pipelines,
    or chained into downstream lab automation. The API is paired with an official Python SDK (`cradle-sdk` on PyPI) and a
    Custom Predictor framework that lets customers register internally developed models against the same orchestration surface
    used by the Cradle web application. Access is enterprise-gated (no public self-serve tier); authentication and SSO are
    handled at the workspace level with SOC 2 controls, and the spec is rendered as ReDoc-based reference rather than published
    as a downloadable OpenAPI file.
common:
- type: DomainSecurity
  url: security/cradle-bio-domain-security.yml
- type: Website
  url: https://www.cradle.bio
- type: Platform
  url: https://www.cradle.bio/platform
- type: Application
  url: https://app.cradle.bio
- type: Documentation
  url: https://docs.cradle.bio
- type: APIReference
  url: https://docs.cradle.bio/api/
- type: SDKs
  url: https://docs.cradle.bio/sdk/cradle/sdk/
- type: Blog
  url: https://www.cradle.bio/blog
- type: Careers
  url: https://www.cradle.bio/careers
- type: Security
  url: https://www.cradle.bio/security
- type: PyPIPackage
  url: https://pypi.org/project/cradle-sdk/
- type: GitHubOrganization
  url: https://github.com/cradlebio
- type: BoltzModel
  url: https://github.com/cradlebio/boltz
- type: CustomPredictorTemplate
  url: https://github.com/cradlebio/custom-predictor-template
- type: Bioutils
  url: https://github.com/cradlebio/bioutils
- type: LinkedIn
  url: https://www.linkedin.com/company/cradlebio
- type: Twitter
  url: https://twitter.com/cradlebio
- type: GoogleCloudCaseStudy
  url: https://cloud.google.com/customers/cradlebio
- type: BayerPartnership
  url: https://www.bayer.com/en/us/news-stories/ai-enabled-antibody-discovery-and-optimization
- type: Wikipedia
  url: https://en.wikipedia.org/wiki/Cradle_(company)
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com