Embedl Hub

Embedl Hub is a shared platform for engineering, verification, and validation teams working on physical AI. Use it to compare model results, understand how they were produced, and assess the evidence against requirements.

Model development produces evidence for verification and validation against requirements. Feedback guides further development. Both share context in Embedl Hub.

Read the development, verification, and validation diagram

Model Development tracks experiments and optimizes models. Its results provide evidence for Verification & Validation, where teams assess evidence against requirements. Feedback guides further development. Both share context in Embedl Hub.

Who uses the Hub#

ML and embedded engineers compare experiments and evaluate models on hardware.
Verification, validation, safety, and assurance teams assess evidence against requirements.
Engineering leaders review model candidates and discuss next steps with their teams.

Platform capabilities#

Experiment Tracking, Device Farm, and Evidence Collection share workspace and organization, data and lineage, and deployment on premises, in air gapped environments, or in the cloud.

Read the platform capabilities diagram

Experiment Tracking compares results. Device Farm evaluates models on hardware. Evidence Collection prepares evidence for review.

These capabilities share three foundations: Workspace & Organization organizes work across teams; Data & Lineage connects models, results, and history; and Deployment supports running on premises, in air gapped environments, or in the cloud.

With Embedl Hub, you can:

Track and compare experiments. Record parameters, metrics, and artifacts. Use dashboards to explore results and compare runs.
Collect and review evidence. Define requirements and use automated checks to evaluate recorded results. Attach supporting evidence and rationale for your team to review.
Evaluate models on shared hardware. Use Device Farm to compare model performance and identify bottlenecks on the devices that matter to your product.

Connect your workflow#

Use the Embedl Hub Python SDK to bring results from your existing tools into the Hub. Explore those results and review supporting evidence with your team in the Embedl Hub web app.

For HTTP integrations, see the API reference for available endpoints and the compatibility policy.

Getting started#

Create a project and choose your first workflow.
Set up the Python SDK to record results from your code.
Explore results or collect evidence with your team.