Data pipelines and fusion
We bring sensor, market, operational and third party data into one consistent view. Time aligned, versioned and checked at every step, so what comes out the other end is something you can trust.
How we build pipelinesData engineering, forecasting and predictive maintenance
Turn noisy, fast data into decisions you can defend.
Early warnings for your assets, honest forecasts for your markets, and the pipelines that make both work. Built to run in production, not just to impress in a demo.
Where to start
Start with the problem you have.
I need fewer breakdowns
“Our equipment fails without warning.”
We learn how each asset normally behaves and warn you when it starts to drift, early enough to plan the fix instead of reacting to it.
Predictive maintenance I need better forecasts“Our forecasts keep missing.”
We build forecasts that show the full range of outcomes, tested against what you use today, so you can plan for the bad days as well as the likely ones.
Forecasting and simulation I need data I can trust“Our data is everywhere and nobody trusts it.”
We bring your sources together into one reliable, real time view, checked at every step, so the numbers in the meeting are the right ones.
Pipelines and streamingWhat we do
Five things we’re very good at. All of them hard.
Most data problems aren’t short of data. They’re short of structure, speed and honest uncertainty. We build all three into the systems you rely on, from the first sensor reading to the decision at the end.
Streaming architecture
Event driven systems sized to your throughput, with latency budgets we agree in writing. Ordering, late data and replay are designed in from the start, not patched on later.
How we design for streamsForecasting and market simulation
Probabilistic forecasts and stochastic simulation for prices, demand and risk. You get the full distribution, not a single line, so you can plan for the tails as well as the middle.
How we forecastPredictive maintenance and anomaly detection
Models that learn how your assets normally behave and tell you early when something starts to drift. Every alert comes with a reason, and with enough lead time for your engineers to act on it.
How we catch failures earlyTime series and physics modelling
Where the physics is known, we use it. Hybrid models combine governing equations with learned components, so they stay sensible outside the data they were trained on.
How we model physical systemsWatch it work
Know something’s wrong before it costs you.
This is a stripped back version of what runs on your data. A live stream, a learned band of normal behaviour, and a flag the moment the signal leaves it. In production the same idea runs across thousands of channels at once, each with its own baseline.
- The raw signal, sampled twenty times a second.
- Normal behaviour, learned from a rolling window with a robust estimator, so one bad reading can’t drag it off course.
- An anomaly, flagged with its score so you can see exactly why.
- Sample rate
- 20 Hz
- Current score
- +0.00
- Flags raised
- 0
Why teams choose us
Serious science. Straight answers.
Here’s what you can hold us to on every project, whatever the size.
/ 01
Built to run, not to demo
The people who design the models also write the production code and stay with it once it’s live. The 3am failure matters to us as much as the elegant proof.
/ 02
Uncertainty, stated plainly
Every forecast comes with calibrated intervals and a record of how it has performed. If a model isn’t good enough to rely on, we’ll tell you before you do.
/ 03
Your data stays yours
We build inside your cloud or on your own hardware. Nothing leaves your environment unless you ask, and every access is logged.
/ 04
No black boxes
You get the code, the documentation and the reasoning behind every choice. Your team can run it, change it and challenge it without calling us.
/ 05
Reproducible by default
Data, code, parameters and random seeds are versioned together. Any result can be rebuilt exactly, months later, for an auditor or a sceptical board.
/ 06
Measured against your baseline
We agree the metric with you before we start and report against it as we go. Progress is a number on a chart, not a feeling in a meeting.
End to end
From raw signal to a decision someone can act on.
We can own one stage or all of them. Either way, we design each one knowing what the next needs, which is where most data projects quietly fall apart.
- CollectConnectors for the systems you already run, with contracts on every schema.
- IngestAn immutable event log, so any moment in history can be replayed exactly.
- FuseDifferent rates and clocks aligned into one state estimate, with gaps and noise handled properly.
- ModelForecasts, simulations and detectors, each tested against a baseline before it goes live.
- DecideResults delivered where your people work, with the confidence attached.
Where it matters
Built for industries where being wrong is expensive.
Energy and utilities
Load, price and asset health
Demand forecasts at every node, generation uncertainty, and early warning on transformers, turbines and pumps.
Financial markets
Scenarios, risk and signals
Stochastic market simulation, regime aware models and tail risk you can explain to a regulator.
Manufacturing
Yield, quality and uptime
Process anomalies caught on the line, not at final inspection, and maintenance scheduled by condition.
Transport and infrastructure
Fleets, networks, structures
Remaining useful life for rolling stock and fleets, and structural health from dense sensor arrays.
How we work
Proof first. Then we build.
You shouldn’t have to sign up to a long programme on trust. We show you it works on your own data before you commit to the full build.
STEP 01
Understand
We sit with your engineers and your data. We agree the decision you need to improve and the number that proves it.
STEP 02
Prove
A focused proof of value on real data, measured against your current baseline. If the signal isn’t there, you’ll hear it from us first.
STEP 03
Build
Production grade pipelines and models, tested, monitored and documented, deployed into your environment.
STEP 04
Run and hand over
We watch for drift and retrain when the world changes. When you’re ready, your team takes the keys.
“A forecast without its uncertainty is just an opinion with decimal places. We give you both, and we show our working.”The principle behind every model we ship
Let’s talk
Got a data problem nobody’s cracked yet?
Tell us about it. The people who would do the work will read it and reply within one working day. We’re happy to sign an NDA before you share anything sensitive.