Data & AI · Strategy · Predictive maintenance · Geospatial & logistics

Data is everywhere. Impact isn't.

We turn your data into decisions that earn their keep: the models, pipelines and maps that tell you what to do next. Senior engineers who build it on your own data, prove it pays off, and hand you the keys.

Let's talk See what we do
Weeks
to a working pilot, not months
10+
years of senior experience per engineer
0
black boxes, and no sales layer between you and the work

Where the impact hides

The win isn't another dashboard. It's knowing what to do next, and trusting the answer enough to act.

Your data already holds decisions worth money: the part to pull, the truck to reroute, the team to hire. We start from that decision and work backwards to the model and the data behind it, so what you get is a call you can stand behind, not a prettier report. That is what we mean by data that earns its keep.

At home in your data
  • Sensor & machine data
  • SCADA / historian feeds
  • LiDAR & satellite imagery
  • Fleet & route data
  • ERP & warehouse systems
  • Whatever messy thing you actually have

What we do

Four things we're genuinely good at.

Different problems, one habit: make the data trustworthy enough to act on, then prove the answer earns its keep.

AI & data science

Models that make a decision better, measured against the cost of being wrong. We use AI where it earns its keep, and tell you plainly when it doesn't.

  • Forecasting & demand prediction
  • Anomaly detection & classification
  • LLMs & document automation, where they fit

Data & AI strategy

A plan tied to your P&L that your team can actually execute: where to start, what to skip, how to scale past the pilot without stalling.

  • Use-case selection & business case
  • Data foundation & roadmap
  • From pilot to production at scale

Predictive maintenance

Catch the failure while you can still plan around it. We turn sensor noise into an alert you can act on, early enough to schedule, sharp enough to trust.

  • Remaining-useful-life models
  • Vibration, thermal & current analysis
  • Alerts tuned to real maintenance windows

Geospatial & logistics

Lower cost and less guesswork in how you move things: where they are, where they're going, and the smartest route between the two.

  • Route & network optimisation
  • LiDAR & imagery analytics
  • Asset tracking & change detection

How we work

We earn the answer. Then we hand you the keys.

You end up with a working model your own team runs in production, and the code and reasoning behind it. We start with strategy, prove it on your data, scale it into real impact, and transfer the knowledge so it stays yours.

  1. 01

    Start with strategy

    We pick the right problem and the right approach before touching a model. What do you need to get right, and what does being wrong cost you? Everything follows from that.

  2. 02

    Prove it on your data

    A focused pilot on a real slice of your data, in weeks rather than quarters. Honest baselines. No demo on someone else's numbers.

  3. 03

    Scale it for impact

    We take what works into production: pipelines and alerts that survive contact with reality. Monitored, documented, and stable enough to forget about.

  4. 04

    Transfer the knowledge

    We leave you the model, the code and the reasoning behind it, and we bring your team along the way. You win when they run it in-house without us in the room.

Proof, not promises

What it looks like when it earns its keep.

0%
Less unplanned downtime after a 90-day predictive-maintenance pilot on rotating equipment.
0%
Lower transport cost from rebuilding delivery routes around real demand and traffic.
0wk
From kickoff to a working model in production: pilot first, paperwork later.

  • Their model caught failures our engineers would have missed, and it explained why every time, so we trusted it. Six months on, our own team retrains it without them.

    Reliability lead, industrial operations (reference available on request)

Let's talk

Let's find the decision worth getting right.

A few lines about the data you have and the call you need to get right is plenty. You'll hear back from an engineer, not a sales team, and you'll leave the first conversation knowing whether there's a smarter, cheaper, or faster decision in your data worth chasing.