Artificial Intelligence | Machine Learning ZineOne | Customer Engagement & Services


Enterprise, Real Time Decisions, Customer Engagement, Customer Intelligence, Customer Intent Milpitas, California, United States

ZineOne

Artificial Intelligence | Machine Learning


ZineOne | Customer Engagement & Services

ZineOne

Real Time Decisions, Customer Engagement, Customer Intelligence, Customer Intent


Milpitas, California, United States

ZineOne’s Intelligent Customer Engagement enables businesses to predict buying intent and provides the ability to influence the session outcome in key moments. Recognized by Gartner as a Gartner MQ for Personalization Engine solutions provider, ZineOne’s Intelligent Customer Engagement platform has positioned the company as an innovative AI personalization provider that is already delivering nearly $1 billion dollars in new revenue for its customers. The patent-pending platform and its continuously learning models provide insights into each and every visitor across digital and physical channels while delivering intelligent customer experiences in key moments to delight customers, foster loyalty, and increase revenue.

Unleash the power of in-session marketing. And gain insight into early purchase prediction without the use of personally identifiable information (PII). Discover buyer intent for known and anonymous visitors by the 5th click and adjust their experiences in the precise moment while they’re on your site. Digital marketing is moving from reacting to consumers after the fact, to reacting to them in the moment, while they engage with the brand. Harnessing the power of Machine Learning on behavior that is happening in the moment to predict what your visitor will do next. Continuous Intelligence on your visitors’ behavior to experiment at scale and deliver meaningful experiences. Deliver highly relevant interactions to your consumers across all digital channels in the right moments.

 

B2B

51 to 100

Series C

$43M

Scaling Up

2014

 
 

Retail and Commerce
Marketing and Advertising

+800M Attributed Revenue Growth
+88% Reduction in Margin Loss
+26% Lift in Loyalty Membership
+56% Lift in Collective Sales

Increase Efficiency

 
 

Service

Yes

Active

 
 

   Machine Learning


Data Analytics

Data Analytics

Customer Engagement

Customer Engagement


Text

Text

Time Series

Time Series

Structured

Structured

 

   Software


Kubeflow

Kubeflow

Python

Python

C/C++

C/C++

.Net Core

.Net Core

JavaScript

JavaScript

Typescript

Typescript

React/Redux

React/Redux

Tensorflow

Tensorflow


Deep Learning Algorithm

Deep Learning Algorithm

Planning Algorithm

Planning Algorithm

Machine Learning Algorithm

Machine Learning Algorithm

 
 

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AI/ML Professionals

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2

1

$28M

Company was founded 2014 and it took almost 8 years (Sep 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

09/06/2022

Series C

$28M

SignalFire, Norwest

Date : 09/06/2022

Round: Series C

$ Raised: $28M

Investors: SignalFire, Norwest

 

Investors

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Debjani Deb


Debjani Deb
CEO

John Tingleff


John Tingleff
Chief Financial Officer

Arnab Mukherjee


Arnab Mukherjee
Co-Founder and CTO

Manish Malhotra


Manish Malhotra
Co-Founder, CPO and Head of Data Science

Isabelle Wang


Isabelle Wang
Chief Financial Officer

Dan Silver

Dan Silver
Chief Marketing Officer

Patrick Donnelly

Patrick Donnelly
Chief Revenue Officer (CRO)

 
 

Potential Customers

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