EmpathixAI is a full‑cycle research platform that matches business questions with the most suitable behavioral research method—surveys, interviews, or hybrid studies—using AI‑guided design and a team of PhD behavioral scientists. The platform handles participant recruitment, data collection, automated qualitative analysis, and quantitative analytics in a single environment, delivering verifiable insights in days at a lower cost and eliminating data silos.
Funding
$20K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often rely on a single research method—typically surveys—to answer diverse questions about meaning, experience, and behavior, leading to data that is easy to collect but fails to capture deeper insights. Qualitative approaches like interviews provide richness but are costly, slow, and produce datasets too small for rigorous decision‑making. Additionally, research data is fragmented across separate tools, making it difficult to integrate findings into a coherent, actionable narrative.
Solution
EmpathixAI offers a full‑cycle research platform that matches each business question with the most appropriate behavioral research method, whether that be a scientifically designed interview, a structured survey, or a hybrid approach. The platform’s AI‑driven workflow designs the study, fields participants, conducts analysis, and consolidates results within a single, scientifically rigorous environment. By leveraging a team of PhD‑level behavioral scientists, EmpathixAI delivers verifiable evidence in days rather than months, at a lower cost than traditional consulting. Integrated data management eliminates silos, providing unified insights that can be directly applied to strategic decisions.
Target Audience
Primary customers are mid‑size to large enterprises, product teams, and market research departments that need reliable, fast insights into consumer meaning, experience, and motivation, as well as consulting firms seeking a scalable behavioral research solution.
Features
- AI‑guided study design that selects the optimal method (interview, survey, or mixed) based on the specific decision‑making gap
- End‑to‑end execution platform handling participant recruitment, data collection, and real‑time quality monitoring
- Automated qualitative analysis using natural‑language processing to extract themes, sentiment, and behavioral patterns
- Quantitative analytics suite with statistical testing, causal inference, and dashboard visualizations
- Single‑source data repository that merges qualitative and quantitative results for cohesive reporting
- Access to a dedicated team of PhD behavioral scientists for methodology support and result validation