Enterprise AI, from strategy to production
Charlotte, NC · Data & AI Platforms
Data platforms and MLOps for Charlotte companies, with model inventories, validation evidence and monitoring built in.
Data & AI Platforms in Charlotte
Charlotte is one of the largest banking centres in the US, with major bank headquarters and operations, a growing fintech scene, a large energy utility and big health systems. In banking, every AI model falls under model risk management, so governance comes first.
Where it fits
Every model tracked, monitored and documented.
Predict equipment issues and plan crews.
Built for North Carolina rules
Validation, documentation and ongoing monitoring for every model, AI included.
A written security program covering every system that handles customer financial data.
Strict separation between AI tools and systems that run the grid.
Security safeguards and prompt notice if personal data leaks.
Working together · Eastern 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. Validators can reproduce any model version from recorded data, code and settings.
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