Data ยท BI ยท Machine Learning ยท AI
Your competitors are already
using your data.
While you wait for the weekly report, they are running ML models on the same kind of data you have โ predicting demand, cutting waste, and closing deals faster. We close that gap. End-to-end, on AWS, GCP, or Azure.
Deployed on the clouds your business already runs on
Numbers our clients quote back to us
31%
average inventory waste reduction after ML
73%
less time spent on manual reporting
6 wks
average to first live dashboard
โฌ4M+
in cost savings identified across client base
What we build
Every layer of your data, end-to-end.
Most consultancies hand you a report. We hand you a running system โ pipelines, models, dashboards โ that keeps working after we leave.
Business Intelligence & Dashboards
Live KPI boards and interactive dashboards on Power BI, Looker, Metabase, or Superset. Every stakeholder gets the view that drives their decisions โ not someone else's.
Data Engineering
Reliable ETL/ELT pipelines that connect your siloed sources and keep the data fresh. Built for production, not for demos. Monitored, version-controlled, documented.
Machine Learning
Demand forecasting, churn prediction, anomaly detection, recommendation engines. Models that go live and stay live โ retrained automatically as new data arrives.
Multi-Cloud Implementation
Native on AWS, GCP, and Azure. We deploy your stack wherever you run, manage the infrastructure, and build it to scale โ not to look good in a slide deck.
Deep Learning & AI
Neural networks for NLP, computer vision, and time-series. LLMs embedded in your internal tools and workflows. AI that solves a real business problem, not a demo problem.
Data Strategy
Not sure where to start? We audit your data estate, identify the highest-value opportunities, and give you a prioritised roadmap โ before you spend a single euro on implementation.
How we work
No wasted sprints. No scope surprises.
We have run this process 52 times. It is not a framework we invented to look clever โ it is what actually works.
Discovery โ we ask the uncomfortable questions
Before writing a line of code we map your business goals, your data landscape, and your real pain points. Not the ones you listed in the brief โ the ones that cost you money every week.
Source audit & connection
We connect to your databases, APIs, data lakes, ERP systems, and flat files. Every source is catalogued, quality-profiled, and documented. You will finally know what data you actually have.
Engineering โ the work nobody sees but everyone relies on
Cleaning, transformation, storage architecture, and pipeline orchestration. Boring to talk about, critical to get right. This is where most data projects fail โ ours don't.
Visualisation & dashboards that get used
We design dashboards around decisions, not around data. Executives, operations, and analysts each get a view calibrated to how they actually work โ not a dump of every metric we could find.
ML & AI โ only when the data earns it
We will tell you honestly when ML adds value and when it doesn't. When it does: demand forecasting, churn models, anomaly detection, and LLM tools that run in production and prove their ROI.
Find out what your data is actually worth.
Book a free 30-minute audit. We will identify your three highest-value data opportunities โ no pitch, no obligation, no slides.
Client results
What happened after they hired us
"They connected six legacy systems in 8 days and delivered dashboards our board actually reads. Reporting that used to take 18 hours now runs in under 4 minutes."
"The demand forecasting model reduced our inventory waste by 31% in the first quarter. We saw measurable ROI before the project formally closed. I honestly wish we had done this two years earlier."
"We had tried two other agencies before this. Same problem, very different outcome. Precise, technically flawless, and they understood our compliance requirements without us repeating ourselves."
Real questions
Things people ask before they hire us
We already have a data team โ why would we need you?
Your team knows your business better than we ever will. We bring what most internal teams lack: experience shipping data systems across dozens of different stacks, industries, and cloud environments. We work alongside your team, not instead of them.
How do we know what it will actually cost before we start?
We scope before we bill. Every engagement starts with a discovery phase โ you get a written breakdown of the work, timeline, and investment before anything begins. No surprises mid-project.
How quickly can we see results?
Our average from kickoff to first live dashboard is 6 weeks. ML models in production typically take 10โ16 weeks depending on data quality and scope. We will tell you upfront if your data is not ready โ and what it would take to get there.
Which cloud platforms do you work with?
AWS, Google Cloud Platform, and Microsoft Azure. We are platform-agnostic. We will work in your existing environment โ or help you choose the right one if you are starting fresh.
What happens after delivery โ are we left on our own?
We offer ongoing pipeline maintenance, model retraining, and embedded team support on monthly retainers. Most clients keep us on after the project to manage and evolve what we built together.
Free audit
30 minutes.
Three data opportunities.
No pitch.
In a free 30-minute call we will map your biggest data opportunity, tell you honestly whether ML adds value in your case, and outline exactly what it would take to capture it.
- โFree 30-minute call โ no obligation, no sales pitch
- โWe will identify your 3 highest-value data opportunities
- โHonest assessment: we will tell you if ML is not the right fit
- โUsed by CTOs and data leads at companies across 11 countries
- โTypically reply within 4 hours on business days
We cap active engagements at 12. Currently accepting new clients โ typically respond within 4 hours.
No spam. No sales pitch. Your data is never shared.