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Kallima is an antibody design API. You send it VH/VL sequences; it returns humanized variants, predicted structures, stability analyses, immunogenicity scores, and antibody-antigen complex predictions. Each pipeline runs on GPU in the cloud — you submit a job and poll (or subscribe via webhook) for results. The API is designed for bioinformaticians and engineers at small-to-mid-size biotechs who want to embed antibody optimization into existing Python pipelines, Jupyter notebooks, and LIMS integrations without standing up their own compute infrastructure.

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What you can do

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How the data model works

Everything lives under a project. A project holds source antibodies (your parental sequences) and therapeutic candidates (the design series you’re optimizing). Each candidate has one or more variants — a baseline variant is created automatically when you register a candidate, and you create new variants as you iterate. Pipelines run against a variant.

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Base URL

All endpoints require HTTPS.

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Client libraries

Python SDK

pip install kallima — typed wrappers, auto-pagination, built-in polling.

REST API

Any HTTP client works — curl, httpx, requests, Postman.