UK-based qualitative analytics startup
WholeSum has raised £730,000, 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.

A significant share of organisational
data is unstructured, yet many teams lack consistent methods for analysing
large volumes of text. Key information is often found in transcripts,
open-ended survey responses, online discussions, and customer feedback, while
analysis frequently relies on time-intensive manual processes or automated
summaries that are difficult to verify or reproduce.

WholeSum provides an AI-based analytics
layer for qualitative data, converting large amounts of free text into
statistically supported, auditable outputs. 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 for direct API integration and produces quantified,
reproducible insights that can be incorporated into existing analytics
workflows. Tasks that would typically take weeks of manual analysis can be
completed more quickly and then examined further using statistical tools to
support decision-making.

Through collaborations with organisations
including Imperial College London and Female Founders Rise in partnership with
Barclays, WholeSum has found that high-value insights are often contained
within unstructured data rather than simplified survey metrics. However,
identifying these insights consistently and at scale has historically been
difficult.

John Spindler, Partner at Twin Path
Ventures, said that qualitative analysis has long depended on manual processes
and inconsistent approaches. He noted that WholeSum introduces a more
systematic and automated framework and described the platform as an important
foundation for how qualitative evidence may be produced and relied upon in the
future.

The platform is primarily aimed at
sectors such as research, healthcare, and financial services, where reliable
qualitative evidence plays an important role in decision-making and outcomes.
According to internal evaluations, WholeSum demonstrates improved performance
compared with several established reasoning models on certain datasets,
offering faster processing and lower theme attribution error while maintaining
reproducible results.

The company plans to use the new funding
to advance product development, expand its science and engineering teams, and
scale early enterprise deployments.