Voca.ai

Helping call centers deliver happier customers at scale, with natural, intelligent and empathetic spoken conversations by our Voice AI, Virtual Agents.

Business Overview

Jan 2017
Date Founded
Acquired
Operating Status
Revenue Generating
Revenue Stage
B2B
Business Model
30
Employees

At Voca.ai, were passionate about helping companies deliver happier customers at scale, through natural, intelligent and empathetic spoken conversations, delivered by our extraordinary AI-powered and EQ-enabled Voca Agents. Were dedicated to creating a win-win collaboration between humans and AI, freeing up human agents to be their creative best, so great customer experience (CX) and great employee experience (EX) can work hand-in-hand. With simple integration and self-optimized algorithms, Voca Agents can be implemented in a flash, without loads of data and complex processes.

Business Stage
Launched

Founders

Voca.ai
Dr. Alan Bekker
Co-founder & CTO
AI Expert
Voca.ai
Einav Itamar
Co-founder CEO
Serial Entrepreneur

Funding Rounds

$6.1 M

Total Funding
3
No. of Investors

2

Funding Rounds
Seed
Last Funding Series

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

December 2018
Seed
$2.6 M

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

November 2020
Acquisition
$70 M

AI Technology Stack

5
AI Team Size
Horizontal AI
AI Application
AI Description

Voca Agents use a speech-to-intent algorithm which sounds different, because Voca.ai’s core technology IS different. Current AI technologies take speech and transcribe it to text in order to understand intent. But during this process crucial information gets lost. Our approach to transcribing is different. We identify intent from the voice, while utilizing vital information contained in the prosody, tone or speed of conversation. We then apply machine learning to understand the full intent of the customer’s spoken conversation and speech. Voca Agents can automatically identify different tones and vocal clues to discern between what a customer says and what a customer means.

AI Algorithms
Neural Networks
Coding
Python
AI Hardware
GPU
AI Inference
Cloud
AI Cloud Provider
Amazon Web Services

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Startup Snapshot

Operating Status
Acquired
AI Team Size
5
Total Funding
$6.1 Million
Founded
January 2017
Funding Stage
Seed

FEATURED VIDEO

CONFERENCE PRESENTATION

INVESTMENT THESIS

STARTUPHUB.AI FEATURED CONTENT

This Startup Uses Deep Learning to Make Virtual Call Center Agents Sound Human
This Startup Uses Deep Learning to Make Virtual Call Center Agents Sound Human
December 10, 2018

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