DISCOVER WHAT IS HAPPENING
AND WHY
Use untapped text data to continually uncover the drivers that matter
Book a free call
How data science, insights and strategy leaders use Wholesum
Drivers of outcomes in internal data
Emerging threats and opportunities driving employee, customer and commercial outcomes are often buried in surveys, interactions, field notes and other internal evidence. But organisations struggle to convert this into compounding understanding of underlying causes.
Wholesum uncovers potential drivers in text data and connects them with outcomes, revealing what matters and what it means for decision-making.
Global People Insights · Pharma Commercial Excellence · Customer Experience
Broader and deeper external intelligence
News, research and reports contain narrative signals about emerging changes. But low source coverage, contradictions in evidence and correlated reporting make it difficult to build a reliable picture of what is happening and why in different locations.
Wholesum continuously discovers and triangulates signals in text evidence and weighs up competing explanations as new information emerges.
National Security & Government · Market Intelligence · Medical & Scientific Evidence
Understanding that compounds
Modern large language model performance is inconsistent and incomplete across large, evolving datasets.
Wholesum is different. We use comparative statistical inference across entire datasets to identify stable signals, overcoming common failure modes in AI and human interpretation. We then apply tailored causal frameworks to weigh up competing explanations, find the drivers that matter, and build understanding that improves over time.
Contact us for a demoSupported by
Why are enterprise teams choosing Wholesum?
Discover deeper signals at scale and link them together to build a continually improving picture of drivers and outcomes.
Surface what existing tools miss, from patterns buried in complex datasets to signals distributed across niche sources.
Turn evolving evidence into conclusions that can be reproduced and refined, rather than drifting with every analysis.
Identify potential levers for change and guide what to measure or test next, so understanding compounds with each cycle.
Meet the founders
Wholesum was built to bring statistical rigour to the evidence conventional data systems miss.
Our founders combine experience in audience insights and behavioural research with world-leading expertise in statistical and causal inference and complex systems.
Our mission is to help teams build a deeper, continually improving understanding of what drives the outcomes that matter. We believe organisations should be able to learn from all the evidence available, not just what is easiest to analyse.
About usConverting text data into intelligence that compounds
Book a 30-minute call to discuss how Wholesum can help your team uncover the drivers that matter and build understanding that improves over time.