Product

Features

Use Cases

Pilot

Get Early Access

Product

Features

Use Cases

Pilot

Get Early Access

Product

Features

Use Cases

Pilot

Get Early Access

Structured ML, delivered in hours

Turn your schema into production-ready ML code - instantly.

Get Early Access

Query

Which customers are most likely to churn next month?

Assertion AI handles the entire ML workflow
— from problem definition to deployment.
No raw data needed - just structure.

Upload your data dictionary

Create a new data dictionary or upload an existing one from your warehouse. Define tables, relationships, and column details directly or import them automatically from your data platforms.

Define your prediction target and modeling intent

Describe what you want to predict — from churn and sales forecasts to conversion rates. The platform automatically interprets your goal, identifies relevant variables, and builds the right modeling framework.

Get a complete, editable ML notebook (Python + SQL)

Receive a fully generated Jupyter notebook with production-ready SQL and Python code — ready to run in your environment. Every step is transparent, interpretable, and optimized for accuracy.

Accessible, powerful portal.

Use our all in one portal or call upon our API — whichever fits your workflow.

Upload your schema

Import tables, keys, and descriptions from your data warehouse or upload a YAML file.

Configure job

Choose your dataset and prediction goal — the platform handles the rest.

View & download notebook

Get a ready-to-run Python + SQL notebook in minutes.

Why not just use GPT?

Assertion AI

GPT / Cursor

Assertion AI

GPT / Cursor

Structured ML from schema

Feature engineering included

Repeatable & scalable

Production-ready notebooks

Portal + API support

Use cases for Healthcare

Healthcare

Predict patient outcomes, optimize resource allocation, and identify at-risk populations — all through automated, explainable machine learning workflows.

Healthcare

Insurance

Supply Chain

Education Tech

Retail

Finance

Use cases for

Healthcare

Predict patient outcomes, optimize resource allocation, and identify at-risk populations — all through automated, explainable machine learning workflows.

Healthcare

Insurance

Supply Chain

Education Tech

Retail

Finance

Use cases for

Healthcare

Predict patient outcomes, optimize resource allocation, and identify at-risk populations — all through automated, explainable machine learning workflows.

Healthcare

Insurance

Supply Chain

Education Tech

Retail

Finance

Built for complex workflows

1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.

1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.

1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.
1
Build dozens of models from schemas, not raw data
State what you want to predict. Share your data dictionary.
2
Automate repeat modeling workflows across business lines
Assertion generates queries, code, labels, features, and validation strategies.
3
Generate notebooks for internal teams or client delivery
Receive a production-ready Jupyter Notebook—documented and deployable.
4
Start pipelines with best practice feature engineering
Receive a production-ready Jupyter Notebook—documented and deployable.