Product
Differentiation
through AI & NLP
Modernising a complex proprietary Sentiment Engine to outperform leading providers — contributing to a £45m acquisition outcome.
Contributed to a £45m acquisition of the business.
Outperformed leading providers on sentiment accuracy benchmarks.
Richer insight and actions from unstructured customer feedback at scale.
A complex proprietary AI product — and no one who could advance it.
A fast-growing SaaS business in Customer Experience Analytics had built a unique, scientifically complex Sentiment Engine at the core of its product. To compete and grow, it needed significant enhancement — but the specialist AI/NLP skillset required to modernise it was proving impossible to find.
Rare skillset required — the complexity of topic-sentiment analysis demanded specialist AI/NLP expertise the team couldn't source.
Competitive pressure — the core product needed meaningful enhancement to hold and grow market position.
Unique, complex IP — an existing Sentiment Engine with scientific depth that had to be preserved and improved, not replaced.
Underperforming models — accuracy benchmarks were not at the level needed to differentiate against established competitors.
Specialist AI/NLP delivery — from model improvement to product impact.
The engagement brought the specialist depth the business had been unable to find — advancing the Sentiment Engine with rigour, improving accuracy measurably, and unlocking new commercial value from unstructured customer data.
High-accuracy sentiment engine
Delivered a high-accuracy solution to the complex scientific problem of topic-sentiment analysis at the heart of the product.
Deeper unstructured data insight
Enabled richer, more granular insight from unstructured customer data — expanding the analytical value of the product.
Actionable customer feedback
Enabled informed, specific actions from unstructured customer feedback — turning raw signal into business decision support.
Benchmarking and model improvement
Benchmarked model performance against leading market providers and drove measurable accuracy improvements beyond them.
Best-in-class accuracy, stronger positioning, and a £45m exit.
AI product enhancement contributed directly to a £45m acquisition outcome.
Outperformed leading sentiment analysis providers on accuracy benchmarks.
Strengthened product differentiation and competitive positioning in the market.
Unstructured customer data transformed into actionable business intelligence.
When your AI is the product — accuracy and depth are everything.
This engagement shows what happens when specialist AI/NLP depth meets a product that has unique IP but needs expert hands to advance it. The result was not just a better model — it was a stronger business, a sharper competitive position, and ultimately a successful exit. Technical excellence and commercial impact are not separate outcomes.
Three ways to engage
For leaders who need a clear, defensible view of where the organisation stands — and what to do next.
- Readiness scorecard
- AI inventory
- Root causes and 90-day plan
- Executive defensibility pack
For organisations that know the gaps and need senior-led delivery to close them — without a large consulting team.
- Close capability gaps
- Deliver measured outcomes
- Embed operating rhythm
- Executive progress narrative
For executive teams that need named senior ownership of the Data & AI agenda without hiring a permanent CDAO immediately.
- Executive and leadership presence
- Strategy and value ownership
- Delivery and governance oversight
- Succession planning
Need to turn Data & AI ambition into measurable progress?
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