Speech analytics for field sales
Open for applications
21-100 employees
To make all conversations in offline commerce as easy to search and analyze as Google did for the web.
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To make all conversations in offline commerce as easy to search and analyze as Google did for the web.
Few candidates hear
back within 2 weeks
Managing a sales team is incredibly tricky and time intensive, especially when pitches are taking place offline and face-to-face. Leaders need to spend hours attending meetings with reps in order to provide proper coaching. This is what Rillavoice is setting out to change with its speech analytics software.
By recording the sales conversation, Rillavoice automatically transcribes and analyzes it using Artificial Intelligence. This then provides real data on what's working for top performers, smart sales tips, and virtual ridealongs for coaching. This has proven to boost conversion by 50%, and management's visibility by 24%.
The company's software can be applied to a variety of different industries, including home services, telecom, solar energy, pharma, insurance, CPG, payments and retail. There's significant opportunity in the space (with 85% of commerce still happening offline in the US) and having secured seed funding, the company is in a strong position to make in impact.
Steph
Company Specialist at Welcome to the Jungle
Dec 2022
$3.7m
SEED
Apr 2022
$0.1m
SEED
This company has top investors
Sebastian Jimenez
(CEO & Co-Founder)Before founding Rillavoice, Jimenez studied Econometrics and Quantitative Economics at New York University.
Michael Castellanos
(Chief AI Officer & Co-Founder)Previously Machine Learning Engineer at Applied Research in Acoustics LLC, Research Scientist at the University of Miami and the University of Chicago.
Christopher Martin
(CTO & Co-Founder)Previously a Software Engineer at Morgan Stanley, Undergraduate Student Researcher at FIU and R&D Intern at TissueTech.
Lukasz Niepolski
(Full Stack Engineer & Co-Founder)Before co-founding Rillavoice, Lukasz studied an MA in Software Engineering at Imperial College after completing a Computer Science BA at Nottingham University.