Practices / 03
The multiplier. We build the products our strategies call for — and put AI to work inside research and growth: faster fieldwork, sharper models, living dashboards instead of static reports.
Senior engineers and data scientists who sit beside the researchers and strategists — not in a separate building.
From validated concept to shipped product — design, engineering and iteration with the research evidence in the room.
Putting language models and machine learning to work inside your operations — scoped to real use cases, measured on real outcomes.
Demand forecasts, churn models, electoral projections — models that say how confident they are, and why.
One source of truth for your market data — pipelines, warehouses and dashboards your team will actually open.
AI-assisted coding of open-ends, transcript analysis, survey logic testing — cutting weeks off fieldwork without cutting rigour.
Findings delivered as interactive dashboards that update as new waves field — not PDFs that age the day they're sent.
Adoption of AI tools is rising steadily across the workforce, but most organisations still lack an evaluation framework for what those tools change. That gap is where we work.
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A product, a platform, a model — or AI working properly inside the ones you have.
contact@fountis.net →