From Object Store Chaos to AI-Ready Data
🧠AI Got Modern Frameworks. Data Didn’t.
- LangChain, CrewAI modernized reasoning but data pipelines still run on Airflow, Spark, slow Python
- Multimodal datasets - 🎥 video, 🖼 images, 🎧 audio, 📄 PDFs - don't fit old tools
- 100k+ files in S3/GCS = slow ingest, slow preprocessing, and painful to keep updated
Data is now the real bottleneck for AI
âš¡ Modern Orchestrator for AI Data
- An AI-native execution engine for defining, executing, and scaling data processing flows.
- Async download, parallel & distributed processing - built for 100k-1M files
- Data checkpoints - resuming without westing compute and tokens
Designed to feed LLMs, CV models, and agents at scale
Trusted partners with global industry leaders
See what DataChain can do
Turn raw files into clean, AI-ready data
Apply LLMs and ML models to extract insights from videos, PDFs, audio, and other unstructured data types. Effortlessly organize it into ETL processes.
Reproduce and data lineage
Capture full lineage of code, data, and parameters, enabling dataset reproduction and supplying code agents with context required for high-quality code generation.
Large-Scale Data Processing on Your Own Cloud
Scale to 25-1000+ machines in your own VPC using our BYOC model. Async downloading and distributed compute make multimodal processing extremely fast.