Why Now?

Today's AI teams face a critical challenge: As models become more powerful and data more complex, the infrastructure needed to build AI applications has become increasingly fragmented and costly.

The AI Infrastructure Challenge

Data Workflow Inefficiency

  • Disjointed tools and custom scripts
  • Data wrangling consumes valuable time
  • Data handoffs between teams

Transparency & Reproducibility

  • Tracking linkages between data/model
  • Inability to pinpoint the source of errors
  • Lost experiments and results

Infrastructure Bottlenecks

  • Mismatch between environments
  • Time-consuming rewrites
  • Unexpected behavior and delays

Declarative

Stop stitching together your AI data infrastructure

  • Express data transformations and model inference as computed columns
  • Automatically track data lineage and versioning
  • Seamlessly scale from local development to production

Multimodal

Handle all data types in a single, consistent interface, easily working with text, images, video, and audio.

Incremental

Recompute only what has changed, dramatically speeding up iterations saving time and resources.

Trusted by the best AI teams