Key Highlights
- WholeSum has raised £730,000 in funding to develop its AI-driven qualitative data analytics platform.
- Twin Path Ventures led the investment round with support from Women TechEU, SFC, and strategic angel investors.
- The platform helps organisations convert unstructured text into auditable, statistically supported insights.
UK-based qualitative analytics startup WholeSum has raised £730,000 to expand its AI-powered platform for analysing unstructured data. This supports organisations across research, healthcare, and financial services.
The WholeSum funding round includes grant support from Women TechEU alongside a pre-seed investment led by Twin Path Ventures. Additional backing came from SFC and strategic angel investors through Ventures Together, including founders and operators from JustPark, Episode 1, ClearScore, and Prolific.
Addressing the Challenge of Unstructured Data
A significant share of organisational information exists in unstructured formats such as interview transcripts, open-ended survey responses, online discussions, and customer feedback. However, many teams lack reliable, scalable methods to analyse this data, often relying on manual processes or automated summaries that are difficult to verify or reproduce.
WholeSum addresses this gap by providing an AI-driven data analytics layer that transforms free-text data into statistically supported, auditable outputs.
The platform is designed to help teams extract consistent insights while maintaining transparency and reproducibility.
AI-powered Qualitative Analytics Built for Enterprise Use
Founded by Emily Kucharski and Dr Adam Kucharski, the company combines experience in commercial and public sector insights with expertise in statistical inference and machine learning.
The platform is designed to integrate directly via APIs, allowing organisations to embed qualitative insights into existing analytics workflows.
Tasks that typically require weeks of manual analysis can be completed far more quickly, with results that can be further examined using statistical tools to support confident decision-making.
Through collaborations with organisations including Imperial College London and Female Founders Rise, and in partnership with Barclays, WholeSum has found that high-value insights are often contained in unstructured data rather than in simplified survey metrics. However, consistently identifying these insights at scale has historically been difficult.
Internal evaluations show the platform delivers faster processing and lower theme-attribution error than several established reasoning models, while maintaining reproducible results.
What’s Next?
The company plans to use the new funding to advance product development, expand its science and engineering teams, and scale early enterprise deployments.
With growing demand for trustworthy qualitative insights, WholeSum is positioning itself at the intersection of technology and advanced data analytics for decision-critical environments.