Trusted data. Practical AI. Real return.
Data and AI
Turn data into answers you can trust, and use AI to act on them faster.
Talk to usMITRE PEAK · MILFORD SOUND
26 AUGUST 2008 · 9 PM
Overview
Most companies have more data than answers, and AI raises the cost of that gap. We build the foundation first: your systems in one data warehouse, organized into measures your leaders trust. Then we put AI to work on that foundation, inside your teams’ everyday work.
What we do
Four ways we help
01
Data and AI strategy
Start from the decision.
The decisions that matter most, the data to support them, and a roadmap for data and AI.
02
Data platform
One source of truth.
Your systems synced into a cloud data warehouse, with the data model, migration and pipelines that keep it current.
03
Analytics and AI in operations
Insight in the flow of work.
Dashboards your leaders use every week, and AI assistants, automation and forecasts built into everyday work.
04
Managed data and AI team
Your data and AI function, run by us.
A data and AI lead, with analysts and engineers behind them: the function you would otherwise hire, for organizations without one of their own.
How we work
Foundation first
We start from the decisions your leaders need to make and work back to the data. The platform comes first, and AI follows on data you can trust.
Work
Data and AI in practice
Testing a churn theory before acting on it
A B2B SaaS company believed error messages were driving customers away.
Decision supported
Avoided unnecessary customer credits
Finding the best prospects among 8.5 million providers
A medical device company's field sales team needed to know which of 8.5 million US healthcare providers to call first.
- Qualified leads
- ~10x
- Providers screened
- 8.5M
Making premium support part of the sale
A B2B SaaS company with stalled growth was giving premium support away.
- New business attach rate
- 92%
- Upgrade attach rate
- 2x
Where are you headed?
Tell us about the goal ahead, and we’ll show you the route we’d take.