Your business has data.We help you put it to work.
AI and machine learning consulting for real-world business operations. We start with the data you already collect and build practical systems around the way your business actually runs.
- operational systems in production
- 12
- clients across three sectors
- 7
- daily users on platforms we run
- 60,000+
- years building and operating systems
- 10+
Most businesses collect years of operational data without realising what it could tell them.
Maintenance registers, QC sheets, PLC logs, ERP entries, CRM notes, attendance, timetables, invoices. Every one of them is recorded carefully and read rarely.
Linked together and read as a whole, they usually answer the questions that keep an owner or a plant head up at night: which machine fails next, where the scrap comes from, who to roster where, which customer is drifting.
Answering those questions does not need a transformation program. It needs engineers who understand your process and the discipline to build only what the data supports.
The pattern was already in the breakdown register.
What we help with
Named after the problem, not the technology. Each one starts with data you already have.
- 01
Predictive maintenance
Know which machine will fail, days before it does.
Read more - 02
Waste and quality
Find what actually causes scrap and rework, and reduce it.
Read more - 03
Resource planning
Right people and machines at the right time, from your own demand history.
Read more - 04
Growth and demand intelligence
Read the signals in your sales and customer data before your competitors do.
Read more
Most engagements begin with data foundations, and we say so. All 12 services
When it needs building
Sometimes a report or a rule is not enough. When the problem needs a model, an agent or an automation, we build it, test it against your own cases, and hand it over.
Custom model building
A model trained on your own data, for one decision your business makes every day.
Read moreAI agents and evaluation harnesses
Agents that do multi-step work in your systems, with a test harness that proves they do it right.
Read moreWorkflow automation
Take the repetitive back-office work off your team, one flow at a time, with a person where it matters.
Read moreDocument intelligence
Turn invoices, forms, registers and reports into clean data you can use.
Read moreVisual inspection with cameras
A camera and a model watching the line for defects, counts and safety, where a person cannot look all day.
Read moreAI assistants for operations
Answer the questions your staff answer all day, from your own documents, with guardrails.
Read more
A test set before a model
Every model, assistant and agent is scored against a few hundred of your own real cases before launch, and again after every change.
A person at every irreversible step
Anything that moves money, changes a record for good or reaches a customer waits for approval until the harness has earned otherwise.
Cost per task, published
What a prediction, a conversation or a completed task costs is measured and reported monthly, next to its accuracy.
Who we work with
Case study · illustrative example
Cut unplanned downtime 31% on a 12-machine line in 14 weeks
The machining line stopped without warning roughly twice a week. Each stoppage cost between two and six hours and, because the failing part was rarely in stock, sometimes a day. The plant had tried shorter preventive-maintenance intervals; that reduced failures a little and increased planned downtime a lot.
Read the full story| Measure | Before | After |
|---|---|---|
| Unplanned downtime hours | 112 / month | 77 / month |
| Emergency spare purchases | 9 / month | 3 / month |
| Planned maintenance hours | 48 / month | 41 / month |
Typical outcomes for this kind of engagement, not a specific client's results.
How an engagement runs
Four phases, each with a duration and a decision at the end. You stop or continue at every gate.
Phase 1
Understand your process
On the floor, with operations, not only IT. 1 to 2 weeks.
Phase 2
Assess your data
Samples pulled, quality checked, a go or fix-first verdict. 2 weeks.
Phase 3
Build a scoped pilot
One line, one branch, one department. A measured before and after. 6 to 10 weeks.
Phase 4
Deploy and support
In your environment, with your people trained. Monthly reviews.
Why work with us
Your existing data first
We start with what you already collect: ERP logs, machine readings, registers, CRM, spreadsheets. New sensors and new software come only when the existing data cannot answer the question.
Scoped engagements, defined outcomes
Every project has a fixed phase, a fixed duration and a measurable result at the end of it. You decide whether to continue at each gate.
Deployed in your environment
Systems run on your servers or your cloud account. Source code is handed over. There is no platform to subscribe to and nothing that stops working if we part ways.
No unnecessary technology
If a report or a rule solves the problem, we build the report or the rule. Machine learning is used where it earns its place, and we will say so when it does not.
Not sure if your data is ready?
Take the free 20-minute readiness check. You get a short scorecard and a plain answer about what, if anything, is worth doing next.