Machine Learning Services
End-to-end ML across the lifecycle - problem framing, dataset preparation, model selection, training, evaluation, and deployment.
We turn your operational data into forecasts, schedules, and decisions your team can act on. For operators who want production-grade machine learning, not another dashboard nobody opens.
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Data Science & Analytics
Five practices, one accountable team. From the first SQL query to the production model serving millions of decisions a day.
End-to-end ML across the lifecycle - problem framing, dataset preparation, model selection, training, evaluation, and deployment.
Surface patterns, anomalies, and segments hidden in your operational data. Turn months of records into a week of insight.
Domain-specific analytics platforms tailored to your processes - not a generic BI tool with your logo on top.
Pipelines, warehouses, lakes, and streams. The unglamorous infrastructure that everything else depends on.
From data maturity assessment to ROI-driven analytics roadmap. We size what is worth doing and in what order.
We learn from your work-order history and live asset signals to predict failures before they happen. The output is a weekly maintenance schedule with priority, technician, and time estimate - not an alert storm.
Vibration, current draw, and temperature-rise signatures. Catch the drift before the call-out.
Cycle counts, lock anomalies, escalator step wear. Schedule the technician before the asset stops.
Pumps, valves, and food-service motors. Pairs with Solace Stay Maintenance for hotels and compounds, and with the AI capability for industrial assets.
Every engagement starts with the decision the data has to support, and works backwards from there.
We ship models that operate, monitor, and recover. Notebooks are a first step, not the deliverable.
Sensors from Smart Cities, telemetry from Iris, vision from AI. Cross-pollination without procurement.