"That's why Sarah Lucena built Mappa, an AI-powered behavioral intelligence platform that aims to take some of the guesswork out of hiring. Mappa trained an AI model to detect voice patterns that correlate with certain traits, such as communication style, empathy, and confidence. Applicants simply answer some questions from Mappa's AI agent, and then the platform sends hiring managers a shortlist of candidates with traits that are compatible with the role."
"Even after reviewing résumés, cover letters, and interviews, choosing the right candidate for a job can be a mysterious process. Hiring managers often rely on their biases about the world or gut feelings to inform their decision, making the process far from an exact science. Mappa is a Startup Battlefield Top 20 finalist at TechCrunch Disrupt 2025 in San Francisco."
""Mappa comes to the market with the goal of really, truly understanding people," Lucena said in an interview with TechCrunch. "We don't really categorize traits as good or bad. We understand traits as compatible or not." Lucena founded Mappa in 2023 with her two co-founders, Pablo Bérgolo and Daniel Moretti, and has raised $3.4 million in a seed round led by Tim Draper's investment firm, Draper Associates."
Hiring decisions often rely on subjective biases and gut feelings, making selection uncertain. Mappa is an AI behavioral intelligence platform that analyzes voice patterns to identify traits like communication style, empathy, and confidence. Applicants answer questions to Mappa's AI agent and hiring managers receive shortlists of candidates whose traits match role compatibility. The startup claims curated behavioral datasets and voice analysis outperform video and online presence assessments. Mappa reports a 2% turnover rate for hires made through the platform versus a typical 30% annual rate. Founded in 2023, Mappa scaled to 130+ U.S. customers and over $4 million ARR after a $3.4 million seed.
Read at TechCrunch
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