Executive buy-in secured for GenAI.
Merger integration, done smoothly.
Scalable ML Ops frameworks on GCP, transformer-based forecasting, and a set of GenAI tools built and delivered while the business worked through a major merger.
built and scaled
& receipt-scanning apps
mid-transition
for GenAI
Client
A global B2B analytics leader operating across market research and SaaS analytics platforms.
Goal
To scale machine learning operations across both SaaS and consumer-facing platforms, improving efficiency, reliability, and innovation in how data-driven insights are delivered.
Growing data, new GenAI, and a merger — all at once.
The client needed to scale machine learning operations across both its SaaS and consumer-facing platforms. Data volumes and workloads were growing, and the existing pipelines weren’t built to keep pace.
At the same time, the business was adding new GenAI capabilities without an established track record for model reliability — and doing it while navigating the NIQ merger, which meant aligning data and systems across two organisations mid-transition.
Three constraints were non-negotiable:
- Scaling AI pipelines against growing data and workloads
- Keeping models reliable while integrating GenAI
- Aligning data and systems through the NIQ merger
MLOps on GCP, GenAI in production, people brought along.
We built scalable ML Ops frameworks on Google Cloud Platform and deployed transformer-based forecasting models, giving the business a reliable backbone for its data science work.
Scaling ML Ops and shipping GenAI is hard enough on its own. Doing it mid-merger, with executives bought in, is the real result.
On top of that, we delivered GenAI solutions built for real operational use: a RAG chatbot, survey bots, and receipt-scanning applications — each aimed at a specific problem rather than a generic proof of concept.
Alongside the technical build, we invested in talent development and community initiatives, extending the impact of the work beyond the platform itself and helping embed the capability in the organisation.
Buy-in secured, maturity up, merger absorbed.
The outcome was executive-level buy-in for GenAI, improved ML operational maturity across business segments, and a smooth staff transition through the NIQ merger — platform work and organisational change moving together rather than competing for priority.
* Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.
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*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.