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Infrastructure for a
liquid data economy

Source, evaluate, and license data — at the speed of compute

Trusted by 8,000+ researchers and developers

at companies such as

OpenAI
DeepMind
centific
TURING
ByteDance
Meta

The Data Multiplexer

A universal adapter between data sources and AI endpoints. Route flows that maximize utility while minimizing cost.

SourcesMEndpointsn × m → n + m
Read our thesis

Three primitives for AI data procurement

A complete workflow from discovery to delivery.

01

Compose

Build task-ready datasets from multiple sources through a unified interface.

  • Query across fragmented providers
  • Preserve provenance and attribution
  • Combine datasets while maintaining lineage
02

Estimate

Preview data utility before you buy—no more blind purchases.

  • See representative samples first
  • Estimate task-specific gains
  • Compare alternatives under same constraints
03

Automate

License and acquire data programmatically with full compliance.

  • Transparent, consumption-based pricing
  • Predefined usage rights
  • Full audit trails automatically

Data for every AI workflow

From training to production — get the right data before compute is spent.

Foundation Models

Large-scale, licensed datasets for pretraining with clear provenance and usage rights.

Fine-tuning

Task-specific data selected and evaluated before acquisition to maximize performance.

Evaluation

Curated datasets for benchmarking, safety testing, and performance measurement.

RAG & Agents

Fresh, task-relevant data routed into retrieval pipelines with predictable licensing.

Augmentation

Blend real and synthetic sources to cover edge cases and long-tail behaviors.

Build with better data

The infrastructure layer for AI data procurement.

Get startedRead our thesis