Development stack
We build small, useful models on the data you already have: which leads to call first, which customers are at risk, which readings are abnormal.
Machine Learning sits in the conversion and operations layer of a Technovier build: the hosting, data and services that keep funnels, CRM syncs, dashboards and automations running. We choose it where it fits the workload, connect it to the rest of the stack, and document it so your team can run it without us.
Practical machine learning for business data: lead scoring, churn and demand prediction, anomaly detection and classification, deployed into the systems your team uses.
Less than people think for scoring and classification; a few thousand labelled records is a workable start. We tell you honestly if the data is not there yet.
Every model ships with a holdout evaluation and a dashboard that compares predictions to outcomes over time.
Yes. We start from what you already run, map how it connects to your CRM, funnels and reporting, and change only what blocks the revenue system. Migrations happen when they are justified, not by default.
Fifteen minutes on what you run today and where this sits in it. No proposal until we have seen your system.
Also in this stack