Iterative
Iterative: An MLOPS platform for managing and operationalizing ML models and datasets.
Founded
2018Iterative: An MLOPS platform for managing and operationalizing ML models and datasets.
iterative.aiCrawled Oct 16, 2026
Enterprise-scale document analytics with deep insights from financial documents and customer support data.
10× AI for financial documents, without reprocessing on every retry. DataChain extends Claude Code, Cursor, and Codex with checkpoint recovery, delta updates, and the data context they're missing. Measured: 2.7× lower cost-of-failure ratio, 10⁸ recall vs recompute gap on SEC 10-K corpora.
Remove data bottlenecks from multimodal bio research. EEG, MRI, DICOM, NIfTI, and trial metadata as typed, versioned, queryable datasets, from inside Claude Code, Cursor, and Codex. Used by brain.space for Brain Data-as-a-Service: 5-10× faster processing, debugging from days to minutes.
Mine edge cases from petabytes of fleet recordings. Video, lidar, IMU, CAN-bus from MCAP, ROS bags, and parquet, typed and queryable. Versioned training mixes that feed VLA training. BYOC across AWS, GCP, Azure, and Nebius.
The company writes about machine learning workflows, from data versioning and processing to model productionization, and shares news, findings, interesting reads, and community takeaways.
LLMs can finally interpret unstructured video, audio, and documents — but they can't do it alone. This post introduces the concept of heavy data and explores how modern teams build multimodal pipelines to turn it into AI-ready data.
The page contrasts OpenAI's in-house data agent for structured warehouse data with files in S3, GCS, or Azure, and describes four foundations the company built to address metadata gaps.
The page discusses limitations of columnar formats for images and video and argues that metadata, rather than file formats, is key to handling heavy data.
The page introduces the DataChain team, whose members work in data infrastructure, open-source, and AI to build data workflow tools.
Discover DataChain products and services. DataChain builds a suite of tools for data preprocessing and management, experiment tracking, ML models versioning, and pipeline automation.
The DataChain privacy and cookie policy describes how the company collects, uses, and protects personal data.
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