Artificial Intelligence | Machine Learning | Automated Planning and Search Concentric | Autonomous Data Security


Enterprise, San Jose, California, United States

Concentric

Artificial Intelligence | Machine Learning | Automated Planning and Search


Concentric | Autonomous Data Security

Concentric


San Jose, California, United States

Concentric was born out of a powerful insight: Enterprises have a data security problem. And the security tools they’re using can’t fix it.

We’re a team of AI experts, data scientists, software builders, and security junkies dedicated to solving the most pressing data security problems. Status quo approaches aren’t our thing – we live to serve our customers, solve their toughest issues with the latest technologies, and we won’t rest until the last contract, design doc, trading data, strategy, and M&A terms sheet is safe and secure.

Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data. There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation. Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business-critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives. That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.

 

B2B

1 to 25

N/A

N/A

Scaling Up

2018

 
 

Computer & Network Security

Data Access Governance
Privacy Data Protection
Data Classification

Increase Efficiency

 
 

IT and Security
Service

Yes

Active

 
 

   Machine Learning
   Automated Planning and Search


Security Systems

Security Systems

Cyber Security Systems

Cyber Security Systems


Text

Text

Structured

Structured

 

   Software


AWS

AWS

Azure

Azure

Java

Java

Python

Python


Deep Learning Algorithm

Deep Learning Algorithm

Security Algorithms

Security Algorithms

Machine Learning Algorithm

Machine Learning Algorithm

 
 

View All

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Data Scientist

Bay Area, California

 

AI/ML Professionals

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5

1

$14.5M

Company was founded 2018 and it took almost 4 years (May 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

05/11/2022

Series A

$14.5M

Ballistic Ventures, Citi Ventures, Core Ventures Group, Engineering Capital, Clear Ventures

Date : 05/11/2022

Round: Series A

$ Raised: $14.5M

Investors: Ballistic Ventures, Citi Ventures, Core Ventures Group, Engineering Capital, Clear Ventures

 

Investors

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Karthik Krishnan

Karthik Krishnan
CEO and Founder

Madhu Shashanka

Madhu Shashanka
Founder, Chief Scientist

Shankar Subramaniam

Shankar Subramaniam
Founder, CTO, Vice President of Engineering

 
 

Potential Customers

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