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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  • The Rise of AI Functions: Moving Beyond Traditional Data Pipelines

    The Rise of AI Functions: Moving Beyond Traditional Data Pipelines

    Discover how declarative AI functions are revolutionizing data pipelines, enabling teams to focus on innovation rather than infrastructure plumbing.

    November 24, 2024

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