Enterprise AI, from strategy to production
Austin, TX · Data & AI Platforms
Data platforms and ML for Austin companies, from product analytics to fab yield data, with pipelines and monitoring that keep up with growth.
Data & AI Platforms in Austin
Austin pairs fast-growing software companies with semiconductor fabs, state government and a growing health sector. Texas now has its own AI governance law on top of its privacy act, so AI plans here need to account for both.
Where it fits
Spot yield loss and test failures earlier.
Know which features drive retention.
Forecast appointments, staffing and capacity.
Built for Texas rules
Consent for sensitive data and assessments for high-risk processing.
Prohibited AI uses, with added duties for government AI.
Consent before capturing face or voice prints, and limits on keeping them.
Controlled technical data kept away from tools and people it may not reach.
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 design pipelines for high-volume, high-frequency data with partitioning and storage choices that keep queries fast and costs predictable.
We classify sensitive data at ingestion, limit who can see it and record consent where the Texas Data Privacy and Security Act requires it.
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