Any question. Any data. One prediction system.
GPS is PA Lab's general-purpose AI prediction platform — separate from our indicator-specific tools. Bring your own data, choose from a range of machine learning and deep learning models, and get a prediction for any question, from health to business. It works with categorical and numeric data as well as images.
From question to prediction in four steps
GPS guides you through a short flow — the same steps whether your data is a spreadsheet of categories and numbers or a folder of images.
Bring your data
Upload the data behind your question — categorical, numeric, or image data, from any domain. GPS isn't tied to a fixed set of indicators; the question is yours.
Pick a machine learning or deep learning model
Select from a range of ML and DL models — the platform lets you match the model to your data and problem instead of locking you into one approach.
Let GPS do the work
The platform runs your chosen model on your data — no coding or ML expertise required on your side.
Read the result
The system returns its prediction along with result details, so you can see the output in context rather than as a bare number.
One platform, many kinds of prediction
GPS is built to be general: the same workflow serves very different questions and very different data.
Machine learning models
Classical ML approaches for structured data — the workhorses of prediction on categorical and numeric datasets.
Deep learning models
Neural networks for complex patterns and image data — available in the same flow, when the problem calls for them.
Categorical & numeric data
Spreadsheets, rates, counts, categories, and survey-style inputs — from any domain, health to business.
Image data
Predictions straight from images — the platform's deep learning models handle visual data alongside traditional datasets.
Put GPS to work on your question
Talk to the PA Lab team about using the General Prediction System for your organisation's data — in health, business, or beyond.