Enterprise AI, from strategy to production
Chicago, IL · Data & AI Platforms
Data platforms and predictive models for Chicago companies, from claims and pricing to plant sensors and freight lanes, with monitoring and governance built in.
Data & AI Platforms in Chicago
Chicago runs on markets, insurance and moving physical goods: exchanges and trading firms, big insurers, manufacturers and the rail and freight hub of the country. It also has some of the strictest biometric and AI hiring rules in the US, so how AI handles people's data matters.
Where it fits
Act before equipment fails using machine data.
Plan capacity and pricing with better forecasts.
Clean, documented data behind pricing models.
Built for Illinois rules
Written consent before face, voice or fingerprint data is captured.
A written AI program with governance, testing and vendor oversight.
A written security program covering every system that handles customer financial data.
Safeguards and a business associate agreement for anything touching patient data.
Working together · Central Time
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
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.
Yes. We work with historians, PLC data and legacy databases, bringing them into a modern platform without disrupting production.
We classify data at ingestion, exclude biometric identifiers unless there is consent and a clear need, and apply retention rules automatically.
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.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
Let's connect