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Ask three AI models to find the real driver behind a shift in your data. You'll get three different answers. That's not a hypothetical. It's what happened when we tested Claude, GPT, Copilot and Gemini against the same task. Their reasoning was inconsistent, and got worse as the dataset grew. For pharma teams, that's a problem. Field notes, call transcripts, news articles and reports contain real signal on what's driving adoption, and objections. But LLM summaries can't tell you which patterns are genuine drivers and which are noise. Wholesum applies a statistical framework (not a prompt) to your text data. Reproducible. Uncertainty-aware. Built to tell you why your metrics are what they are, not just summarise what. One respiratory brand used it to find adoption drivers hiding in 10,000s of sales notes - uncovering targeting niches previously unseen. Book a pilot to see what's driving your outcomes.

Correlation isn't causation. LLMs don't know the difference - and neither do the summaries they give you. 80–90% of your enterprise data is unstructured text. It holds the real drivers behind your commercial and medical outcomes. But LLM outputs are inconsistent, and get less reliable as your data grows - meaning teams are making decisions on false confidence. Wholesum finds the causal signal underneath the noise: stable, reproducible, and quantified - not a one-off AI summary. We work with large pharma organisations across Western Europe and the US. Results so far: a 2x lift in targeting accuracy for one brand, from insight buried in sales notes. Book your pilot with us to stop summarising, and start understanding what's actually driving your outcomes.

Your LLM can summarise your field notes... It can't tell you what is causing sales. That's the gap most commercial and medical affairs teams we speak to have. Summarisation looks like intelligence, but correlation isn't causation, and LLMs can't tell the difference. Run the same unstructured dataset through a reasoning model twice and you'll often get two different "insights." Wholesum is different. We use a statistical, causal framework - not language-model guesswork - to find which signals in your text data actually drive outcomes, and quantify how confident you should be in each one. Pharma teams have used it to uncover pre-conversion signals hiding inside adoption barrier language, and to identify subgroups 2x more likely to convert - insight no summary would have surfaced. If your insights stack still can't answer ‘why', book a pilot.

80-90% of enterprise data is unstructured . And it’s growing 3x faster than structured data. For pharma insights teams, that’s a lot of intelligence sitting outside the dashboard. Structured data can tell you what is happening... But the drivers behind it are often buried in text. Wholesum helps teams turn unstructured text into stable, repeatable intelligence, built around their own data. So instead of more summaries, pharma teams can uncover the signals that matter, track how they change over time, and make decisions with evidence they can build on. Book your pilot now!

Pharma Insights teams are moving away from generic AI. Tired of unpredictable performance and lack of reproducibility, they've discovered a more reliable solution. Wholesum gives pharma teams a better way to work with their richest data. Co-founded by world-leading health scientist and statistician Dr Adam Kucharski, it helps teams turn unstructured text into stable, auditable insight they can actually trust. Request your pilot today and discover why Wholesum is setting a new standard for high-stakes pharma insights work.

REVEALED: World-leading health data scientist solving big data problems in pharma Pharma Insights teams are moving away from generic AI. Tired of unpredictable performance and lack of reproducibility, they've discovered a more reliable solution. Wholesum gives pharma teams a better way to work with their richest data. Co-founded by world-leading health scientist and statistician Dr Adam Kucharski, it helps teams turn unstructured text into stable, auditable insight they can actually trust. Request your pilot today and discover why Wholesum is setting a new standard for high-stakes pharma insights work.