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Conversation intelligence platform for developers
Open for applications
Conversation intelligence platform for developers
21-100 employees
Open for applications
More information about location
21-100 employees
To elevate the quality of human life through every conversation.
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To elevate the quality of human life through every conversation.
Data analytics has changed the way businesses operate - what customers buy, how often, what they nearly buy, etc. An individual’s online experience is full of data, telling a business what’s working, what’s not, and how they can change. But what’s much harder is to collate data from, say, a customer service phone call. That’s where Symbl comes in, with its conversation intelligence software.
Symbl boasts a hefty set of features, including topic and ‘sentiment’ recognition, automatic transcription (with identification of multiple speakers in over 30 languages), as well as question and answers analytics and keyword detection. It’s a thoroughly impressive package, with usages like data analysis from customer calls and performance reviews for customer support or sales teams.
Within the realm of human voice analysis, Symbl has impressive capabilities. But conversation intelligence is a market with other big players, like Gong or Chorus.ai. While Symbl’s features are technically more impressive than those of Gong, Symbl falls short on holistic analysis including SMS and email, which can provide a clearer picture. Symbl works well but has tough competitors to differentiate itself from.
Freddie
Company Specialist at Welcome to the Jungle
Nov 2021
$17m
SERIES A
Dec 2020
$4.7m
EARLY VC
This company has top investors
Toshish Jawale
(CTO)Previously worked as a Software Engineer at Media Magic Technologies, was Co-founder of TimeNome, Co-Founder & CTO of upa.io, and was a Software Architect at Amdocs.
Surbhi Rathore
(CEO)Former Software Engineer at Nevis Networks, and Software Development Team Lead at Amdocs. They are also currently an Ambassador for Women in AI and a Member of the Forbes Technology Council.
Software Engineering
Data
Product
Sales & Account Management