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Build explainable models from your data, then query predictions and explanations through the REST API.
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The platform is an API-first solution for building, deploying, and querying explainable models.

Use the platform to move from source data to deployed Hybrid Intelligence models that return both predictions and the explanation data behind them.

How to access the platform

Organisations onboarding and account creation are handled by Umnai. Once your account is available, you can start using the platform.

How the platform works

Most workflows move through the same path:

1

Connect data

Grant the platform access to source data in your storage environment.

2

Ingest data into a datasource

Convert source files into a validated datasource managed by the platform.

3

Onboard the datasource into a dataset

Transform the datasource into a training-ready dataset.

4

Train a model

Train a model from the dataset.

5

Deploy the model

Create a deployed model that can receive API requests.

6

Query predictions and explanations

Query the deployed model through a view, which returns predictions, explanations, diagnostics, or evaluation outputs depending on the selected view type.

Start building

The fastest way to understand the platform is to run one complete workflow with sample data.

Run the quickstart

Ingest sample data, train a model, deploy it, and request your first prediction and explanation.

Browse the API reference

Look up endpoints, request fields, response schemas, and examples.

Follow the guides

Implement each stage of the platform lifecycle in more detail.

Understand the concepts

Learn the model, explanation, and Hybrid Intelligence concepts behind the platform.