WholeSum is a UK-based qualitative analytics startup that provides an AI-based analytics layer to convert unstructured text into statistically supported, auditable outputs. WholeSum has raised £730,000 in a round combining grant funding from Women TechEU with a pre-seed round led by Twin Path Ventures.
The round also included participation from SFC and strategic angel investors via Ventures Together, including founders and operators from JustPark, Episode 1, ClearScore and Prolific.
Founded by Emily Kucharski and Dr Adam Kucharski, WholeSum combines commercial and public sector insights experience with expertise in statistical inference and machine learning. The platform is designed for direct API integration and produces quantified, reproducible insights that can be incorporated into existing analytics workflows, converting large volumes of free text into auditable outputs that would otherwise require weeks of manual analysis.
The product is aimed at sectors such as research, healthcare and financial services where reliable qualitative evidence is important. Collaborations with organisations including Imperial College London and Female Founders Rise in partnership with Barclays have demonstrated that high-value insights often reside in unstructured data, and internal evaluations show improved performance versus several established reasoning models on certain datasets, with faster processing and lower theme attribution error while maintaining reproducibility.
The company will use the funding to advance product development, expand its science and engineering teams and scale early enterprise deployments.
“Qualitative analysis has long depended on manual processes and inconsistent approaches. WholeSum introduces a more systematic and automated framework and is an important foundation for how qualitative evidence may be produced and relied upon in the future,” said John Spindler, Partner at Twin Path Ventures.
