Boutique Analytics Consultancy

Data that
drives real
decisions.

We partner with a selective group of organisations to design and deliver data science and analytics that are precise, durable, and genuinely used — not black boxes that gather dust.

Trusted by data-led teams across financial services, retail, healthcare & media

12+
Years in data & analytics
40+
Engagements delivered
8
Industries served
94%
Client retention rate

End-to-end analytics, built to last.

From boardroom strategy to production systems, we design analytics your teams can actually use — and maintain long after we've gone.

01

Data Strategy

We help leadership teams understand the data they have, find the gaps, and build a roadmap that ties analytics investment to business outcomes.

02

Analytics Engineering

Clean, tested data pipelines and a semantic layer that give analysts and stakeholders a single source of truth — no more conflicting dashboards.

03

Machine Learning

Forecasting, segmentation, and risk models built for your domain and deployed in a way your team can monitor, retrain, and trust.

A method, not a menu.

Every engagement runs through the same four movements — because most analytics work fails in the framing, long before the modelling.

01ImmerseLearn the businessfirst02FrameDefine the realquestion03BuildEngineer the solution04EmbedHand over; make itstick
01
Deep domain immersion

We spend real time understanding your business before we touch a dataset. Most hard problems in data are business problems in disguise.

02
Embedded, not outsourced

Our team works alongside yours. Knowledge transfers by default — we build capability, not dependency.

03
Outcomes, not outputs

A model nobody uses is a failure regardless of its accuracy. We stay engaged until the work is adopted and creating value.

Measurable outcomes for complex problems.

We take on fewer engagements so we can do each one properly — and we measure ourselves on the result, not the deliverable.

Financial Services

Credit risk modelling for a mid-market lender

Replaced a legacy scorecard with an ensemble model, cutting default rates by 18% while holding approval volumes steady.

Default rate Legacy scorecard vs. new model 100 82 Legacy New model Reduction in defaults −18% ↓ losses
Retail & Commerce

Demand forecasting across 800+ SKUs

A hierarchical forecasting system that cut overstock write-offs by 22% and halved the time spent on manual planning.

Overstock write-offs Year on year 22% lower write-offs Overstock reduction 22%

Decisions, not dashboards.

We design every system around the decision it's meant to support. That means interfaces a director will actually open, forecasts with honest uncertainty, and metrics everyone agrees on.

  • Forecasts that surface their own confidence, not just a point estimate
  • A single, governed definition for every metric that matters
  • Monitoring and retraining built in, so the work stays trustworthy
  • Revenue forecastNext 6 quarters · 90% prediction intervalQtrHalfYr0$MnowActualForecast90% intervalForecast accuracy (MAPE)4.2%↓ 6.1ppProjected ARR$97.4M↑ 18%Stockout riskLow

    They were the first partner who pushed back on the brief — and they were right to. We ended up solving a more valuable problem than the one we walked in with.

    — Chief Financial Officer, mid-market lender

    The best analytics partner is the one you eventually don't need.

    We measure success by the decisions we change and the capability we leave behind — not by how long we stay. Selectivity is how we protect that standard. We take on a small number of engagements each year, and we go deep on every one.

    Let's talk about what's possible with your data.

    We take on a small number of new engagements each year. If you have a problem worth solving, we'd like to hear about it.

    Start a conversation