Iterative AI

Iterative AI, now operating under the product name DataChain, is a data management and AI infrastructure company that provides a context layer for unstructured data stored in cloud object storage. The platform enables researchers and AI agents to search, version, and reuse data work including LLM annotations, embeddings, and classifier outputs, making compute 10,000x cheaper to recall versus recompute from raw files. DataChain's CAST (Container, Asset, Sense, Task) architecture captures four layers of unstructured data context, allowing teams to search by schema, statistics, or LLM summary rather than hunting through files. The platform supports AI agents including Claude Code, Cursor, and Codex, enabling them to read schemas, previews, and lineage before writing code. Every dataset save records source code, inputs, author, and timestamp, ensuring full reproducibility. The open-source Python SDK runs distributed compute in the customer's own VPC (BYOC) with SOC 2 Type II certification, processing data directly in S3, GCS, or Azure without copying files. Founded in 2018 and headquartered in San Francisco, California, the company has raised approximately $25 million in Series A funding from investors including 468 Capital, True Ventures, Afore Capital, Locus Ventures, and Essence VC.