Enterprise AI, from strategy to production
Philadelphia, PA · Data & AI Platforms
Data platforms and ML for Philadelphia organisations, from clinical operations to manufacturing batch data, with lineage and validation built in.
Data & AI Platforms in Philadelphia
Philadelphia's economy is anchored by large health systems and medical schools, pharma and a fast-growing cell and gene therapy cluster, universities and insurers. Much of the data is clinical or regulated, so AI here needs validation and strong privacy controls.
Where it fits
Forecast admissions, beds and staffing.
Process and batch data ready for analysis.
Built for Pennsylvania rules
Safeguards and a business associate agreement for anything touching patient data.
Validated systems, audit trails and e-signatures for regulated records.
Student records only shared with AI tools under the right agreements.
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. Data and code are versioned with audit trails, so analyses can be reproduced and validated.
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