Data & AI Platforms
We build the pipelines, platforms and governance that feed AI with trusted data, and the MLOps that keep models accurate long after launch.
Why it matters
Models drift, pipelines break and data ends up scattered across systems. Without solid foundations, even a strong AI pilot struggles to survive in production.
We engineer data platforms and MLOps practices that make AI repeatable: reliable pipelines, clear ownership, monitored models and governance built in from the start.
What's included
Modern data pipelines, warehouses and lakehouses that bring data from across the business into one reliable, well-modelled place.
Machine learning for forecasting, scoring and anomaly detection, and computer vision that turns images and video into decisions.
The tooling and practices to deploy, monitor and govern models safely, from versioning and drift alerts to access control and audit.
Not sure which one fits your business?
Tell us the task, and we'll suggest where to start.
Where it fits
Plan stock, staffing and production from better forecasts.
Spot defects on the line with computer vision.
Use IoT and machine data to act before equipment fails.
Understand churn, lifetime value and next best action.
Unified, trusted data for reporting and AI alike.
Live operational views built on dependable pipelines.
Have a task that isn't listed here?
Tell us about it, and we'll show you how we would approach it.
How we work
We map your data sources, flows, owners and quality issues.
We design a platform that fits your cloud, scale and budget.
We deliver pipelines, models and dashboards in working increments.
We set up monitoring, alerts and governance your team can run.
Ready to take the first step?
Start with a free consultation. No commitment.
In the US
We work with teams in these cities. Each page covers the industries and rules that matter there.
MLOps is the set of practices and tools for deploying, monitoring and updating machine learning models reliably, much as DevOps does for software. It keeps models accurate as data changes.
We work with the major cloud providers and with on-premise environments, and design the platform around the tools and contracts you already have.
Not always. We often build the data foundations a specific AI use case needs first, then extend the platform as more use cases follow.
Get in touch
Share what you'd like to build or automate. We'll reply by email to set up a free consultation.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
Let's connect