AddMaple unveils Mosaic for proactive insight discovery

AddMaple, winner of the 2026 IIEX North America Insight Innovation Competition, today unveiled Mosaic, a new system for Proactive Insight Discovery designed to help researchers uncover what could move the needle for their business.

Research teams are under growing pressure to move faster, but some of the most valuable analyses are also the most time-consuming. Researchers often lack time to test whether themes in customer feedback are linked to satisfaction or purchase intent, or to rerun key-driver analysis by segment, gender, age or market to see whether what matters overall differs between audiences.

Mosaic is designed to make that deeper investigation practical.

Researchers provide the business question, relevant data and context. Mosaic then uses AddMaple’s Multi-Type Adaptive Discovery framework to investigate the evidence across multiple methods and data types.

It can compare potential drivers overall and across audiences, connect qualitative themes to quantitative outcomes, and iteratively explore different segmentation approaches. Findings can also trigger further investigation. For example, a newly identified segment can be compared across the wider study, or an emerging theme can be tested against a key business metric.

The resulting evidence can be brought together in a Ranked Impact Analysis report that researchers can shape, edit and share with decision-makers.

Importantly, AI does not do the maths. AddMaple’s statistical engine runs the calculations, while AI helps researchers navigate, connect and explain the results.

AddMaple founder Angelique Taylor said:

“Researchers already know the business, the stakeholders and where the important questions might lie. Mosaic gives them more analytical reach, helping them investigate the questions they often don’t have time to pursue, bring the right evidence together and build recommendations that land.”

AddMaple Mosaic will be demonstrated at IIEX West in San Francisco on October 27–28, 2026.