Companies with data and a measurable task

A model that knows your business.

A model trained on your data for your task, with the proof it beats the baseline, served to a cost you agree.

The problem

The general model is almost right and almost right is not good enough. Your data is your advantage and nobody is using it.

What you get

01

The measure first

What good looks like, as a number, before any training.

02

A baseline to beat

We prove where the existing model fails before we train.

03

Trained on your data

Vision, language or signal, on your GPUs or ours.

04

Served to a budget

Latency and cost agreed in writing, monitored, retrained on a schedule.

The first two weeks

Two weeks: the baseline, the measure and the first result on your data.

What comes after
  • 01Full training and evaluation
  • 02Serving and monitoring
  • 03Retraining schedule
  • 04Integration into your product
Start with a prototype

Questions buyers ask

How much data do we need?

Often less than you think; we tell you after seeing it.

Where does it run?

Your cloud or ours, under a written agreement; your data trains only your model.

How much is the prototype?

A flat price, agreed on the call.

See it running in two weeks.

Two weeks: the baseline, the measure and the first result on your data.

Custom AI model training — when off-the-shelf fails your measure — eORB