Pixeltable offers an open-source, declarative data-infrastructure platform that unifies multimodal data (video, images, audio, text) under a consistent table API, enabling computed columns, UDFs, and development-to-production parity. The platform performs automatic incremental updates and combines lineage and versioning to reduce redundant computation and improve reproducibility. Pixeltable is positioned to streamline RAG and generative-AI workflows by integrating document storage, embedding computation, and incremental indexing. Early adopters report large efficiency gains—company claims up to 80% reduction in infrastructure code and 50% less compute waste, while customer testimonials cite reductions as high as 90% in plumbing code and 70% in compute costs. The project is available under the Apache 2.0 license on GitHub and is headquartered in San Francisco. Pixeltable plans to use its recent funding to expand core infrastructure capabilities, add collaboration features for multimodal data management, and develop Pixeltable Cloud, a fully managed service.

Total raised

$6M

Funding rounds

1

Latest round

Seed

Latest activity

Dec 2024