UK startup WholeSum has secured £730,000 in funding to expand its AI platform that turns unstructured text into auditable, data-driven insights.
WholeSum, a UK-based startup focused on qualitative analytics, has raised £730,000 in new funding as it looks to bring greater rigor and scale to the analysis of unstructured data.
The funding combines grant support from Women TechEU with a pre-seed investment round led by Twin Path Ventures. Additional backing came from SFC and strategic angel investors via Ventures Together, including founders and operators from companies such as JustPark, ClearScore, and Prolific.
The company is addressing a persistent challenge across organizations: much of the most valuable data exists in unstructured form—customer feedback, interview transcripts, open-ended surveys, and online discussions—yet analysis often depends on slow manual review or opaque automated summaries that are difficult to verify or reproduce.
WholeSum’s platform applies artificial intelligence to transform large volumes of free text into statistically supported, auditable outputs. Founded by Emily Kucharski and Adam Kucharski, the company brings together experience in commercial and public-sector research with expertise in statistical inference and machine learning.
Designed for direct API integration, the platform produces quantified, reproducible insights that can be embedded into existing analytics workflows. According to the company, tasks that typically require weeks of manual qualitative analysis can be completed far more quickly, while still allowing results to be examined and validated using established statistical methods.
Through collaborations with organizations including Imperial College London and Female Founders Rise in partnership with Barclays, WholeSum has found that some of the most actionable insights are buried in unstructured data rather than headline survey metrics. Historically, however, extracting those insights consistently and at scale has proven difficult.
John Spindler, a partner at Twin Path Ventures, said qualitative analysis has long relied on inconsistent, manual approaches. He described WholeSum’s platform as a more systematic foundation for how qualitative evidence can be produced, assessed, and trusted in the future.
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The company is initially targeting sectors such as research, healthcare, and financial services, where reliable qualitative evidence can shape high-stakes decisions. Internal evaluations suggest WholeSum’s approach outperforms several established reasoning models on select datasets, offering faster processing and lower theme attribution error while maintaining reproducibility.
WholeSum said the new funding will be used to advance product development, expand its science and engineering teams, and scale early enterprise deployments.
