EEurekAI Lab

AVIA · AI Data DevOps

The data flywheelfor production AI

AVIA turns raw signals into labeled, structured, observable data — one continuous loop from capture to deployed model, and back.

A continuous data flywheel

Architecture

One pipelineThree enginesA closing loop

Annotation, Ontology, and Telemetry sit between your raw data and your models — and runtime feedback flows back to make every loop sharper.

Runtime feedback returns to sharpen the next loopRaw signalsCaptureAnnotationLabel & QAOntologyStructureTelemetryObserveModels & AgentsProductionONE DATA FLYWHEEL

The engines of agentic data

Agentic AI is tool use plus dataWe run the data half

Annotation captures it, Ontology makes it callable, and Telemetry turns every run into the next improvement — the loop that keeps your agents' data compounding.

01Annotation

Label and review at production quality.

A closed labeling loop across images, video, and documents — model errors flow back as the next batch's priorities.

  • Multimodal labeling with human-in-the-loop review
  • Automated QA and consensus scoring
  • Active learning prioritizes the data that matters
Explore Annotation
Label and review at production quality.
02Telemetry

Observability is the key to optimization.

Capture every run, skill call, and evaluation in production — then turn that signal into the changes that make agentic data better.

  • Trace agents, skills, and MCP calls end to end
  • Continuous evaluation against your own metrics
  • Feedback closes the loop back to data and models
Explore Telemetry
Observability is the key to optimization.
03Ontology

From raw material to callable knowledge.

Model the entities and relationships in your data, and expose them as a structured layer agents and tools can actually query.

  • Entity and relationship modeling across modalities
  • A single source of truth for agents and RAG
  • Query by API, export on demand
Explore Ontology
From raw material to callable knowledge.

Why AVIA

Every loop makesthe next one better

Compounding data

Labeled, structured data accumulates as a durable asset — not a one-off cost.

Closed-loop quality

Production telemetry tells you exactly what to label, evaluate, and fix next.

Built to integrate

Bring your own storage, models, and keys — AVIA runs in your environment.

10×

Faster labeling iterations

100%

Runs observable in production

1

Source of truth for your AI

BYO

Storage, models, and keys

Put your dataon a flywheel

See how AVIA connects annotation, ontology, and telemetry into one compounding loop for your team.