Developer Documentation

Everything you need to build with Aito's predictive database.

Get Started

Start predicting in minutes with the v2 API.

Run Aito locally

pip install aitoai then aito start: a local Aito in Docker, with the connection lines printed for Python, the shell and SQL.

API quickstart

Query the public sandbox, then load your own data.

When to use Aito, and when not

Where a predictive database fits, and where an LLM, a trained model or a search engine is the better tool.

Query reference

Every v2 operator and clause, with runnable examples.

Python SDK

Use the Python client to interact with Aito programmatically.

v2 API reference

Evidence

Measured results, including where Aito loses.

Benchmarks

Accuracy, calibration and speed against tuned baselines, published with the losses.

Use cases

Worked v2 queries by use case, runnable against the public sandbox.

All benchmarks

Ready to build?

We are here for you

Slack us

Join our community on Slack for support and discussions.

About us

Learn more about Aito as a company.

Contact us

Ask us about anything Aito related.

Our support team is active between 9AM to 5PM Europe/Helsinki time. We aim to get back to you in one working day.

9:14 AM

Europe/Helsinki time now

Add the predictive half this afternoon.

Address

Episto Oy

Putouskuja 6 a 2

01600 Vantaa

Finland

VAT ID FI34337429

Contact

About us Contact us Partner with us Join our Slack community