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To give organisations the power to find the signals that matter, among the noise of complex human data
A large part of what organisations know about people lives in unstructured text: interviews, survey comments, transcripts and feedback. This data is often where the most valuable insights sit, but it's hard to work with at scale - requiring either slow manual analysis or untrustworthy automated summaries.
WholeSum is closing this gap by using AI to analyse large volumes of qualitative data and turn it into clear, statistically supported outputs that can be audited and reproduced. Basically, instead of just summaries, it produces quantified insights that plug directly into existing analytics workflows.
With roots in both practical insights work and advanced statistical research, the team is focused on making qualitative analysis faster and easier. It's still early days, but WholeSum has attracted backing from investors, grant programmes and experienced founders. This early support, alongside partnerships with respected institutions, is a real strong start for the company.

Steph
Company Specialist at Welcome to the Jungle
Jan 2026
$1m
SEED
This company has top investors
Emily Kucharski
(Co-Founder & CEO)Prior to WholeSum, Emily founded Wish I'd Known. She also served as a Marketing and Communications Director at Better Giving Partnership and as a Business Leader at Saatchi & Saatchi London.
Adam Kucharski
(Co-Founder & CTO)Previously led data and research projects with top organisations, including BBC, SpaceX and Meta. Also an award winning science writer and bestselling author.