Product and revenue analytics
Know which features drive retention and expansion.
- 1Unifies product and billing data
- 2Models retention drivers
- 3Feeds dashboards
Salt Lake City, UT · Data & AI Platforms
Data platforms and ML for Utah companies, from product usage to warehouse volumes, built to scale with growth.
Data & AI Platforms in Salt Lake City
Salt Lake City and the Silicon Slopes corridor are home to fast-growing software companies, financial services operations, integrated health systems and a big distribution hub. Utah was also early to regulate AI, with rules on telling people when they are dealing with generative AI.
Where it fits
Know which features drive retention and expansion.
Plan labour and capacity with better forecasts.
Built for Utah rules
Notice and opt-outs for targeted advertising and sensitive data.
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 · Mountain 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 extend the warehouse and tools you already use rather than replacing them.
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