Data labelling platform for machine learning
Open for applications
Data labelling platform for machine learning
21-100 employees
Open for applications
21-100 employees
To help data scientists use data to teach ML/AI models how to make the best predictions.
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To help data scientists use data to teach ML/AI models how to make the best predictions.
Few candidates hear
back within 2 weeks
80% employee growth in 12 months
A number of new industries are developing, and winning big, in the slipstream of the AI boom. One of them is data labelling: the process of identifying raw data and tagging it with labels that will provide informative context for the machine model to learn from. It is proving a lucrative business, and HumanSignal is one of a growing number of startups looking to capitalize on this.
HumanSignal’s principal product is Label Studio, a collaborative data labelling solution with a focus on streamlining team management, relevant access, and data security. With industry leaders such as IBM, Nvidia, and Facebook having already adopted this product, it has certainly made a splash thus far.
HumanSignal has substantial funding under its belt but will have to compete with a large number of new data-labelling startups - some of them also enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide as North American businesses outsource labour abroad, the competition looks fierce but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
May 2022
$25m
SERIES A
Jul 2019
$0.2m
SEED
Michael Malyuk
(CEO & Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(CTO & Co-Founder)Previously CTO at Audio Research Group. Since then, has been a Senior Software Engineer at Huawei Technologies, and Yandex.
Max Tkachenko
(Co-Founder)Previously worked as a Freelancer in Photo, Video & Design for over 14 years.
Software Engineering
Sales & Account Management