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 position: Provider access: 3rd-Party image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg 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 url: https://raw.githubusercontent.com/api-evangelist/cradle-bio/refs/heads/main/apis.yml created: '2026-05-25' modified: '2026-05-25' specificationVersion: '0.20' apis: - aid: cradle-bio:cradle-platform-api name: Cradle Platform API tags: - 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: SDK 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: SignIn 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: 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: SDK 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