Web Analytics

3 Latest Announced Rounds

  • $7,500,000
    Seed

    2 Investors

    Software Development
    Nov 21st, 2024
  • $6,000,000
    Series A

    1 Investors

    Transportation, Logistics, Supply Chain and Storage
    Nov 21st, 2024
  • $30,000,000
    Unknown

    1 Investors

    Financial Services
    Nov 21st, 2024
$1,264.20M Raised in 73 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Concentric AI

start up
United States - San Jose, California
  • 11/05/2022
  • Series A
  • $14,500,000

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.


Related People

Karthik KrishnanFounder

Karthik Krishnan United States - Saratoga, CA

SUMMARY:
* Experience in companies - big and small, successful and not
* Industry transitions from hardware (designing microprocessors) to network security software (product management) to encryption software to software defined networks to now big data machine learning security software
* Expertise in security, enterprise software, SaaS
* Pretty good at product strategy, marketing, licensing/pricing, OEM, corporate strategy, building, managing and coaching up teams, working in a team
* Not good at writing code, staying single threaded

What I am happy I have: A curious mind, ability to learn things quickly, intrinsic motivation
Things I wish I had: Patience, Creativity

Influences in life: My father, grandmother, Daniel Kahneman, Dan Ariely, Michael Mauboussin, Andy Grove, Nate Silver, Jonathan Haidt, Steven Levitt, Scott Schaefer, Eric Anderson, Amy Cuddy

Specialties:
EXPERTISE AREAS:
Enterprise Security, Machine Learning, Big Data, Cloud Computing, Virtualization, Infrastructure, Hardware, Enterprise Software, Systems

FUNCTIONAL EXPERTISE:
General Management, Product Management, Product Marketing, Partner engagements including OEM, New product introduction, Creating/leading/ growing innovative businesses and products