$165-231k
+ Equity
The feature platform for machine learning
Open for applications
The feature platform for machine learning
101-200 employees
Open for applications
$165-231k
+ Equity
101-200 employees
To transform the way companies solve real-world problems with machine learning.
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To transform the way companies solve real-world problems with machine learning.
Few candidates hear
back within 2 weeks
17% female employees
33% employee growth in 12 months
Tecton provides an innovative solution that makes it possible for all companies to benefit from machine learning, regardless of their level of expertise and experience. The company is committed to the democratisation of artificial intelligence, believing that it is something that all businesses should be able to access, not just the privileged few.
As part of this process, Tecton provides a range of services, ensuring that machine learning applications can be built at business level. The experience of the company makes it possible for businesses to implement machine learning projects in real-time, and then use them to derive insights from the best data available.
Tecton also offers what it believes to be the first enterprise-ready feature store for machine learning, enabling data scientists and engineers to build a library of great features and serve them in production. The unique nature of its product coupled with the CEOs' experience at Uber and Google elevates Tecton above other machine learning companies. With 2022's series C funding, Tecton has been scaling its engineering and go-to-market teams and positioning itself well for future growth.
Steph
Company Specialist at Welcome to the Jungle
Jul 2022
$100m
SERIES C
Dec 2020
$35m
SERIES B
This company has top investors
Mike Del Balso
(CEO)Product Manager at Google, then Senior Product Manager at Uber - where they were responsible for Michelangelo. Co-founded Tecton in 2018.
Kevin Stumpf
(CTO)MBA Stanford. Co-found and CTO at Dispatcher. Technical Lead at Uber, involved in Michelangelo project. Co-founded Tecton in 2018.
Software Engineering
Product
Sales & Account Management