Data & AI Platforms Services in Salt Lake City | IoTree Minds

Enterprise AI, from strategy to production

Salt Lake City, UT · Data & AI Platforms

Data & AI Platforms for Salt Lake City businesses

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

Data platforms that scale with growth

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

Where Salt Lake City teams use it

SaaS and software

Product and revenue analytics

Know which features drive retention and expansion.

  1. 1Unifies product and billing data
  2. 2Models retention drivers
  3. 3Feeds dashboards
Logistics and distribution

Volume forecasting

Plan labour and capacity with better forecasts.

  1. 1Combines order and staffing data
  2. 2Forecasts volume
  3. 3Tracks accuracy

Built for Utah rules

Regulations we design around

Businesses handling Utahns' data

UCPA

Notice and opt-outs for targeted advertising and sensitive data.

Banks, lenders, fintechs

GLBA Safeguards

A written security program covering every system that handles customer financial data.

Healthcare providers, plans and their vendors

HIPAA

Safeguards and a business associate agreement for anything touching patient data.

Working together · Mountain Time

Working with us from Salt Lake City

Your morning is our evening, so we meet live at the start of your day and build while you sleep.

  1. 8–10 AM MT Live call Review progress and make decisions together
  2. Your working day Your feedback Your team tests and comments in writing
  3. Overnight MT We build Progress is ready for your next morning

How we work

From first conversation to production

  1. 1

    Audit

    We map your data sources, flows, owners and quality issues.

  2. 2

    Architect

    We design a platform that fits your cloud, scale and budget.

  3. 3

    Build

    We deliver pipelines, models and dashboards in working increments.

  4. 4

    Operate

    We set up monitoring, alerts and governance your team can run.

FAQ

Questions from Salt Lake City teams

Ask us something else
Can you build on our current data tools?

Yes. We extend the warehouse and tools you already use rather than replacing them.

What is MLOps?

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.

Which cloud platforms do you work with?

We work with the major cloud providers and with on-premise environments, and design the platform around the tools and contracts you already have.

Do we need a data platform before starting with AI?

Not always. We often build the data foundations a specific AI use case needs first, then extend the platform as more use cases follow.