AVIA · Telemetry
Infrastructure matters
AI agents keep getting more capable — whether you build on Claude Code or a third-party platform. But they only execute end-to-end work when the data infrastructure beneath them is solid. AVIA Telemetry is the complete data-infrastructure closed loop for agents.
The thesis
An agent istool use plus data
Tools are getting commoditized; the moat is the data infrastructure that makes an agent observable, evaluable, and improvable. AVIA is the data infrastructure for AI — one loop spanning annotation, agent knowledge management, and observability with Skill/MCP management, so the same core need is unified across products.
- Manage the user's and ontology knowledge in one place
- Make that knowledge manageable and evaluable by agent tools
- One closed loop, not a stack of disconnected dashboards
The evaluation pipeline
From registry to feedbackin one loop
A Skill/MCP registry feeds version management; runtime records every agent, skill, tool, and MCP call; evaluation scores it against your own metrics and datasets; user feedback returns into the registry. The loop never stops compounding.
Registry
Every Skill and MCP server is registered in one shared catalog agents resolve from.
Versioning
Pin, promote, and roll back versions so you always know exactly what ran.
Telemetry
Capture every agent, skill, tool, and MCP call with full step-by-step context.
Evaluation
Score live behavior against your own metrics and datasets — not generic benchmarks.
Feedback
User signal and eval findings flow straight back into the registry.
The biggest value
Logs become the loopthat improves your agent
Because every run is logged, the full run log becomes the raw material an agent — or a developer with AI Coding — uses to improve itself. Telemetry turns production into a self-iteration substrate: each release is built on the evidence of the last, not on guesswork.
- Self-iterate on the developer side with AI Coding
- Replay any failing run and turn it into a fix
- Every release improves on the evidence of the last
Skill / MCP management
One registrydevelopers and operations share
Skills and MCP servers live in a shared, versioned registry — so developers and operations hand off seamlessly and agents iterate faster. What ships is exactly what was evaluated.
Shared registry
One catalog of Skills and MCP servers every agent resolves from.
Version management
Pin, promote, and roll back — always know what's running in production.
Dev ↔ ops handoff
Developers register, operations promote — no lossy handover in between.
How it works
RunObserveEvaluateImprove
Your runtime emits traces; telemetry collects them; evaluation scores them against your metrics; and the loop closes back to data and models.
Instrument
Capture traces from agents, skills, tools, and MCP calls — end to end.
Observe
See every run with full context: inputs, steps, outputs, cost, and latency.
Evaluate
Score live behavior against your own metrics and datasets, continuously.
Improve
Findings flow back to data and models so each release beats the last.
Capabilities
Data infrastructurebuilt for agents
End-to-end tracing
Every agent, skill, tool, and MCP call with full step-by-step context.
Continuous evaluation
Score against your own metrics and datasets — not generic benchmarks.
Skill / MCP versioning
A shared, versioned registry where dev and ops hand off cleanly.
Regression detection
Compare releases and catch quality drops before they reach users.
Self-iteration via AI Coding
Run logs become the material an agent or developer uses to improve.
Custom metrics
Define the signals that matter for your product and track them live.
In practice
Where it earns its keep
Agent & skill debugging
Trace exactly what an agent did, step by step, when something breaks.
Production evaluation
Score live behavior against your metrics and catch regressions early.
Cost & latency tuning
Find the expensive, slow paths and optimize the ones that matter.
By the numbers
Productionyou can actually see
100%
Calls recorded
Live
Evaluation in production
↺
Feedback closes the loop
BYO
Metrics & models
Built to integrate
Runs in your environment
BYOS
Telemetry, traces, and the registry stay in your own storage.
BYOM
Evaluate against your own models and judges.
BYOK
Your keys and access controls, fully audited.
FAQ
Telemetryanswered
Every agent, skill, tool, and MCP call — end to end, with full context on every step.
Build the infrastructureyour agents stand on
AVIA Telemetry is the complete data-infrastructure closed loop — observe every run, evaluate it, and let the logs improve your agent.