AVIA · AI Data DevOps
The data flywheel for production AI.
AVIA turns raw signals into labeled, structured, observable data — one continuous loop from capture to deployed model, and back.
Architecture
One pipeline. Three engines. A closing loop.
Annotation, Ontology, and Telemetry sit between your raw data and your models — and runtime feedback flows back to make every loop sharper.
The engines of agentic data
Agentic AI is tool use plus data. We 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.
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
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
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
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
Why AVIA
Every loop makes the 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 data on a flywheel.
See how AVIA connects annotation, ontology, and telemetry into one compounding loop for your team.