Data & AI Products

AI-ready data, and the products that put it to work.

We turn scattered operational data into a reliable foundation, then build the dashboards, forecasts and web or mobile apps your teams use to make better decisions every day.

Plant operations

Illustrative

Uptime

[XX]%

On-time

[XX]%

At-risk assets

2

Demand, actual vs forecast

Actual Forecast
The challenge

AI is only as good as the data behind it.

In most operations businesses, data is split across ERP, spreadsheets, machines and email, with different definitions in every system. Until it’s cleaned, connected and trusted, AI predictions are guesses and dashboards spark arguments instead of decisions.

What we do

From foundation to finished product.

Layer 1

Data foundations

Data engineering

Pipelines from ERP, WMS, TMS, CRM, IoT and spreadsheets into one governed platform.

Data quality and modeling

Consistent definitions for products, customers, orders and assets, with checks built in.

Modern data platforms

Warehouses and lakehouses on Azure, Microsoft Fabric, Zoho Analytics and more.

Layer 2

Analytics and prediction

Operational dashboards

Real-time throughput, inventory, on-time delivery, uptime and cost.

Forecasting and prediction

Demand forecasts, predictive maintenance, lead-time prediction and anomaly detection.

Natural-language analytics

Let managers ask questions of their data in plain English.

Layer 3

AI-powered products

Web applications

Portals and internal tools with AI built in, for customers, suppliers and staff.

Mobile apps

Apps for drivers, technicians and warehouse teams, with offline support and AI assistance.

Product modernization

Add AI features to software you already own.

How it works

Built in short cycles, with your users in the room.

1

Discover

Data sources, quality issues and the decisions you need to support.

2

Build the foundation

Pipelines, models and quality checks on the right platform.

3

Design the product

Prototype dashboards or apps with the people who will use them.

4

Develop and launch

Short build cycles with regular demos and feedback.

5

Improve

Monitor usage and accuracy, and add features as needs grow.

What you get
A governed, AI-ready data platform
Data quality rules and documentation
Dashboards, forecasts or predictive models in production
Web or mobile applications, built and deployed
Source code, documentation and handover
Ongoing support through our AI Operations practice
Example products
Plant performance dashboard with downtime prediction Demand and inventory forecasting Customer portal with order status and AI support Technician mobile app Supplier scorecard with risk alerts
FAQ

Common questions

Our data is a mess. Where do we start?

With the decisions that matter most. We fix the data behind those first, rather than trying to clean everything at once.

Do you build on our existing platforms?

Yes. We work with Microsoft, Zoho and other platforms you already use, and only recommend new tools when they add clear value.

Who owns the code?

You do. We hand over source code and documentation at the end of every project.

Can you support the product after launch?

Yes, through our AI Operations practice, or we can train your team to run it.

Turn your operational data into decisions and products.

Talk to an engineer →
LET'S TALK

Start with an AI readiness conversation.

Tell us what you'd like AI to change in your business. We'll come back with an honest view of where to start — and where not to.

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