Web Analytics

3 Latest Announced Rounds

  • $3,500,000
    Seed

    1 Investors

    Technology, Information and Internet
    Dec 20th, 2024
  • $5,619,170
    Series B

    1 Investors

    Research Services
    Dec 20th, 2024
  • $8,000,000
    Unknown

    5 Investors

    Computer & Network Security
    Dec 20th, 2024
$671.88M Raised in 44 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Deepchecks

start up
  • 16/06/2023
  • Seed
  • $14,000,000

Build Test Suites for ML Models & Data with Deepchecks
https://github.com/deepchecks/deepchecks

Deepchecks is an open-source package for Machine Learning validation. Our Open Source is a python library for data scientists and ML engineers. The package includes extensive test suites for machine learning models and data, built in a way that’s flexible, extendable and editable.

How Does It Work?
Suites are composed of checks. Each check contains outputs to display in a notebook and/or conditions with a pass/fail output.
- Conditions can be added or removed from a check;
- Checks can be edited or added/removed to a suite;
- Suites can be created from scratch or forked from an existing suite.


Related People

Philip TannorCo Founder

Philip Tannor Israel - ND

Experienced Data Scientist with a demonstrated history of working in various industries - both in "hands-on" machine learning research and in the supervision of other researchers.

Graduate of the Talpiot Excellence Program (class of 2012).

Skilled in Machine Learning, Python, Team Leadership, and Algorithmic Research. MSc in Electrical Engineering from Tel Aviv University (thesis in machine learning).

Follow me on Twitter as well:
https://twitter.com/PhilipTannor