Services/Machine Learning
Machine Learning
Automated predictions and analysis, built to inform a real decision - supervised and unsupervised models trained on data you already have.
What we build
Most ML work we ship isn’t a new data source - it’s teaching a system to find the patterns already sitting in data a business collects but never uses. Traffic feeds, delivery history, weather data, support tickets: connected and modeled instead of read one at a time by a person.
Recent work
A predictive system for a company shipping 15,000 packages a day
Only 67 of every 100 packages were arriving on time. We connected their delivery system to live traffic, two years of delivery history (847,000 completed deliveries), and weather data from 47 stations, then trained a model to flag delays before they happened - not explain them after.
How we deliver it
Same six-step process as every build - full detail on the homepage. For ML specifically, “think and analyse” means confirming the data actually supports the prediction before we build anything.