Data and AI execution partner
Data and AI Systems Built to Improve Margins, Forecasting, and Daily Decisions
Data Pilot designs, builds, and runs the data platforms, analytics, and AI systems that growing companies use to see performance clearly, plan with more confidence, and remove manual work. We deliver working systems, not just recommendations.
Production-ready delivery
Your data and IP stay yours
Built in your existing cloud
Organizations We Have Delivered For
Solution areas
What We Solve
Most data and AI work starts with a business problem, not a technology choice. These are the six areas where our clients most often need results.
See Where Your Margin Is Actually Made
- Channel and product reporting shows revenue and cost side by side.
- Margin analysis goes down to individual product level.
- Marketing return is measured against profit, not just spend.
- Leaders review one set of numbers instead of reconciling three.
Plan From Live Signals, Not Last Quarter
- Demand forecasts run by product, location, and season.
- Replenishment alerts flag stock before it runs short.
- Capacity and staffing plans follow expected volume.
- Planners spend their time deciding rather than rebuilding files.
Catch Problems Before the Audit Does
- Automated validation catches duplicates and missing fields.
- Exception alerts route to the person who owns the fix.
- Audit trails record what changed, when, and by whom.
- Controls run continuously rather than at quarter end.
Knowledge and Reporting Automation
Give Every Team the Same Set of Numbers
- Recurring reports build and distribute themselves on schedule.
- Document assistants answer questions from your own files.
- Teams stop rebuilding the same summary every week.
- Everyone works from the current version, not last month's copy.
Build the Foundation AI Actually Needs
- A cloud data platform consolidates your core business systems.
- Automated pipelines keep the data current and accurate.
- Shared definitions mean one metric carries one meaning.
- Access rules and quality checks are set before AI is added.
Move AI From Demo to Daily Operations
- Workflow automation sits inside the tools your team already uses.
- Human approval stays on every step that carries real risk.
- Model monitoring tracks accuracy and drift after launch.
- Budget limits keep ongoing running costs predictable.
Two free ways to start
Not Sure Which One Is Costing You Most?
Talk it through with a senior practitioner, or score your own data maturity and AI readiness in 30 minutes and get a phased roadmap back.
Capabilities
From Reliable Data to Working Automation
Value can start at any point on this path. Some clients need a foundation first. Others already have clean data and need forecasting or automation. We work from where you are today.
Data
Unified, governed business data in one place
Analytics
Reporting, shared KPIs, and forecasting
Applied AI
Machine learning, copilots, and assistants
Automation
Automated workflows with monitoring and control
How We Help
Data Foundations and Platforms
Bring scattered systems into one dependable source. We build cloud data platforms, warehouses, and the pipelines that keep them current and accurate.
Analytics, Reporting, and Forecasting
Applied AI and Automation
Governance, Delivery, and Ongoing Support
Trusted Technology Partners
Results From Real Engagements
Why Companies Choose Us
Every Engagement Starts With a Value Hypothesis
We agree what good looks like before any code is written.
Before engineering starts we write down four things and agree them with you. That agreement decides what gets built and how we both judge whether it worked.
- Baseline. Current hours, cost, cycle time, error rates, and revenue leakage.
- Target outcome. Quantified improvement goals and the measures we will track.
- Adoption path. Which workflows change and who has to change them.
- ROI logic. Effort saved, revenue captured, risk reduced, and cycle time cut.
Senior Engineers Who Ship to Production
The people who scope the work are the people who build it.
- Systems go into production rather than stopping at a prototype.
- Monitoring and documentation are part of delivery, not a later add-on.
- Handover includes training so your team can operate the system.
- You are not left dependent on us to keep it running.
You Own Your Data and Your Systems
Everything we build is yours, deployed in your environment.
- You keep 100% of your data.
- You keep the intellectual property we build for you.
- Deployment happens inside your own cloud environment.
- There is no proprietary platform to license afterwards.
Governance and Cost Control Built In
Oversight and budget limits ship with the system, not after it.
Most AI cost and risk problems come from controls being added once something is already live. We set them during the build, so the system is governed on the day it launches.
- Access controls and human review at the steps that carry real risk.
- Model monitoring that continues after launch.
- Cloud budget guards that stop spend running away.
- Governance that keeps your operators in control of the outcome.
Built Around How You Make Decisions
Every seat reads the same business differently. Each page covers the problems, priorities, and outcomes that matter most in that role.
CEO
Growth decisions made on evidence, not on the last report to land.
CFO
Margin visibility by unit, and reporting finance can sign off on.
COO
Execution visibility and less coordination overhead as you scale.
CIO
A modern, governed, secure architecture that can carry AI.
CMO
Attribution and channel performance measured against real profit.
See All Roles
Including CTO, R&D Director, VP of Analytics, and Agency Owner.
We Know How Your Operation Actually Runs
Find the sector you work in and see the problems we solve there, the systems we connect, and the results clients have seen.
Omni-channel Retail
Margin leaks quietly across demand, inventory, returns, and fulfillment.
Marketing and PR Agencies
Client reporting absorbs hours that should be billable work.
Restaurants
Demand, waste, and labor cost move daily across every site.
Manufacturing
Quality, downtime, and traceability records sit in separate systems.
Bakeries
Bake What Sells. Price What It Costs. Keep the Margin.
Not Listed Here?
We also work with life sciences and healthcare, SaaS and AI startups, consulting firms, and technology service providers.
A Clear Path From First Conversation to Live System
01
Diagnose
We review your systems, data, and priorities to find where value is currently being lost.
02
Prioritize
We select the use case with the strongest return and scope it with a timeline and estimate.
03
Build
Senior engineers build and integrate the system inside your own cloud environment.
04
Scale
We monitor, support, and extend the system, and train your team to run it day to day.
Pick the Starting Point That Fits Where You Are
Six defined engagements, with their own scope, timeline, and deliverable. Each one is a paid engagement staffed by senior practitioners.
Data Foundation Audit
For teams whose reporting cannot be trusted. We review your architecture, data quality, and gaps, then set the right sequence of work.
45-Day Rapid Delivery
For teams ready to prove value quickly. We build, integrate, and put one high-value data or AI system into daily operation end to end.
Timeline 45 days
Outcome A live, working system
AI Opportunity Assessment
For teams that want AI but need to know which use cases are worth building. We identify and rank the options by effort and return.
Timeline 2 to 3 weeks
Outcome Ranked ROI use cases
Legacy to Modern Stack
For teams held back by disconnected systems. We move you from fragmented sources to a modern, unified cloud platform you can build on.
Timeline 6 to 8 weeks
Outcome A secure cloud platform
AI Transformation Roadmap
For leadership teams planning AI beyond one use case. We produce the architecture guide and scaling framework for a company-wide rollout.
Timeline 4 weeks
Outcome An AI scaling strategy
Managed AI and Data Office
For teams that need ongoing engineering capacity. We run, monitor, and improve your data and AI systems as an extension of your team.
Timeline Monthly, ongoing
Outcome Continuous oversight
Start With Clarity
Not ready to talk? These resources help you work out where you stand and what to fix first.
Free tool
Data Maturity and AI Readiness Assessment
A free 30-minute diagnostic that scores your data maturity and AI readiness in one place. It is built on the DAMA data management framework and the Gartner AI Maturity Model. You get results immediately, with no consultant and no waiting.
- Executive dashboard and maturity scores
- AI readiness across seven dimensions
- Industry benchmark comparison
- A phased roadmap you can act on
- A board-ready report to share
Articles
Practical writing on the data and AI decisions leaders face, from building reporting you can trust to choosing which use case to fund first.
Digital Transformation Guides by Sector
In-depth guides for your sector, including the Omnichannel Margin Recovery Playbook and its five plays for demand, inventory, returns, and fulfillment.
Glossary
Plain-English definitions for more than 300 data and AI terms, written for business readers rather than engineers who already know them.
Talk Through Your Highest-Value Data Opportunity
A 45-minute session with a senior practitioner. You leave with where the opportunity sits, a scoped estimate, and the ROI case. No obligation.