Avala

Data & Analytics

Compliance CertificationsGDPRSOC2

About Avala

A platform for fleet learning in Physical AI. It ingests multimodal sensor data and turns it into 4D datasets, creating versioned training artifacts and linking each production model to the data that shaped it. It provides dataset management, labeling with full traceability, quality control and model feedback across the workflow.

What Cakewalk Does With Avala

Govern who on your team and which agents can access Avala. AI agents can act inside Avala with the permissions of the person who asked. Cakewalk checks each call against policy, holds risky actions for approval and writes an audit record for every one.

Integration Capabilities

Agent Connection

A Connection lets an AI agent act in Avala through Cakewalk instead of with its own API key. The agent operates with the permissions of the person who made the request, only for the duration of that task. Every call is checked against policy and written to the audit log.

Use Cases

Use Case	Description
Let an Agent Handle Avala TasksAgent Connection	A person asks their agent to do something in Avala, like find a record, update a field or pull a report. The agent does it through Cakewalk with that person's own access, not a shared key.
Every Action Checked and LoggedAgent Connection	Every agent action in Avala is checked against your access rules and written to the audit log. Safe actions go through, risky ones wait for approval or are blocked.