UK startup WholeSum has raised £730,000 to accelerate development of its qualitative data analysis platform, combining grant backing from Women TechEU with a pre-seed round led by Twin Path Ventures. The raise also saw participation from SFC and strategic angel investors via Ventures Together, including founders and senior operators from JustPark, Episode 1, ClearScore and Prolific.
Across many organisations, a large share of information exists in unstructured formats, yet teams often lack reliable methods to assess it at scale. Transcripts, open-ended surveys, customer comments and online discussions can contain critical insights, but are frequently reviewed either through slow manual coding or automated summaries that can be difficult to verify.
WholeSum has developed an AI-driven analytics layer designed specifically for qualitative material, turning extensive volumes of free text into transparent, statistically supported findings. Founded by Emily Kucharski and Dr Adam Kucharski, the company draws on experience across commercial research, public sector analysis, statistical inference and machine learning.
The platform is built for direct API integration and is intended to slot into existing analytics pipelines, generating quantified and reproducible outputs. Work that would usually take weeks can be carried out more rapidly, with the results then interrogated further using statistical tools to support decisions.
Through projects with organisations including Imperial College London and Female Founders Rise in partnership with Barclays, WholeSum has seen that meaningful insights often sit within unstructured responses rather than simplified survey metrics. Consistently identifying these patterns at scale, however, has traditionally proved challenging.
John Spindler, Partner at Twin Path Ventures, said qualitative research has long relied on manual review and varied approaches. He said WholeSum introduces a more systematic, automated framework and described the platform as a potential foundation for how qualitative evidence may be produced and trusted in future.
The company is targeting sectors such as research, healthcare and financial services, where dependable qualitative evidence can guide policy, operations and outcomes. Internal assessments suggest the platform shows improved performance against several established reasoning models on certain datasets, offering quicker processing and lower theme attribution error while maintaining reproducibility.
WholeSum plans to deploy the new capital towards product development, expanding its science and engineering teams, and scaling early enterprise rollouts.
