Pixeltable
  • Why Pixeltable
    • AI Data Infrastructure, SimplifiedTransform complex multimodal data pipelines into intuitive table operations. Unified storage for text, images, video, and audio with automatic versioning and indexing.
    • Model DevelopmentDefine models as table operations. Supports custom Python UDFs. Integrates with popular ML frameworks. Automatic data lineage tracking.
    • Experiment TrackingVersion control for data and models. Compare experiments with table operations. Reproduce results through automatic lineage and provenance.
    • Incremental PipelinesEfficient updates to data and models. Only recompute changed dependencies. Supports complex DAGs. Automatic caching and lazy evaluation.
  • Perfect For
    • LLM/RAG DevelopersFocus on prompt engineering, not plumbing. Build incremental production-ready RAG systems with automatic document processing, embedding management.
    • Computer Vision EngineersBuild and deploy CV pipelines in days, not months. Manage video processing, frame extraction, annotations, and model inferences through a simple table interface.
    • MLOps EngineersDeploy to production without rewrites. Automatic versioning, lineage tracking, and incremental updates work the same from laptop to cloud. Zero infrastructure management overhead.
    • Data/Research ScientistsExperiment faster, iterate smarter. Let Pixeltable handle data processing across all modalities while you focus on modeling. Compare experiments and reproduce results with confidence.
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  • Building a Powerful Multimodal RAG Application with Pixeltable: From Local Dev to Production

    Building a Powerful Multimodal RAG Application with Pixeltable: From Local Dev to Production

    In today’s AI landscape, handling multiple types of data – from documents to videos to audio files – has become increasingly crucial. Yet, building applications that can seamlessly process and analyze this diverse data remains challenging. That’s why we’re excited to share our latest sample application that demonstrates how Pixeltable simplifies multimodal RAG (Retrieval Augmented…

    January 7, 2025
  • Pixeltable launches AI data infrastructure providing a declarative, incremental approach for multimodal workloads transforming, how teams build AI applications

    Pixeltable launches AI data infrastructure providing a declarative, incremental approach for multimodal workloads transforming, how teams build AI applications

    Just as relational databases revolutionized web development, Pixeltable removes the need for in-house scripting of multimodal data management and orchestration, enabling teams to deploy production AI applications in days instead of months.

    December 5, 2024

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Unifying Data, Models, and Orchestration
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