Voca.ai
Active

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

Artificial Intelligence Conversational AI Speech
Artificial Intelligence Computer Vision Deep Learning
NOW RAISING Series AFUNDING ROUND

Business Overview

DESCRIPTION

At Voca.ai, we’re 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. We’re 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.

FOUNDED
January 2017
EMPLOYEES
30
BUSINESS MODEL
B2B
OFFERING TYPE
Software
FUNDING STAGE
Seed
BUSINESS STAGE
Launched
REVENUE STATUS
Revenue Generating
TOTAL FUNDING
$6.1 Million
SECTORS
Artificial Intelligence Conversational AI Speech Technologies Virtual Agent Voice AI Voice Assistant

Founders

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

Funding Rounds

Date Announced

Funding Round

Amount Raised

Investors

December 2018
Seed
$2.6 M

AI Technology Stack

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 EMPLOYEES
5
AI APPLICATION
Horizontal AI
AI TYPES
Artificial Intelligence Computer Vision Deep Learning Natural Language Processing Speech Recognition
AI ALGORITHMS
Neural Networks
CODING
Python
AI HARDWARE
GPU
AI INFERENCE
Cloud
CLOUD PROVIDER
Amazon Web Services

In The News

FEATURED VIDEO

CONFERENCE PRESENTATION

FUNDRAISING CONTACT

CONTACT

Herzliyah
Israel
Hasadnot 10
HQ
Manhattan
United States
54 Grand St, New York, NY 10013
Sales and Marketing
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