€50-70k
+ 10% commission + 0.1% of equity
1-2 days a week in office
Testing framework for ML models
Job no longer available
Testing framework for ML models
21-100 employees
Job no longer available
€50-70k
+ 10% commission + 0.1% of equity
1-2 days a week in office
21-100 employees
To provide AI professionals with a collaborative and open-source Quality Assurance platform to evaluate and test the quality of all AI models.
Giskard was created when its founders saw difficulties with AI projects because of misunderstandings from business stakeholders, and a lack of robustness of the AI workflow. To address this, the company makes it easier to monitor AI models and get actionable alerts.
This includes solving problems around monitoring, such as “dashboard fatigue” where people pay less attention to monitoring after it has been deployed for a while. Giskard has a wide user base, including mature organizations who set up rolling on-call schedules for their engineers and invest in debugging tools to solve issues faster.
The company has secured major clients such as L'Oreal, Webedia and Continuity. Giskard has raised considerable funding that will aid the commercialisation of its offering, sustained hiring efforts, and the investigation of new fields including computer vision, time series, and generative AI.
Kirsty
Company Specialist
Mar 2023
$2.8m
GRANT
Dec 2022
$1.7m
SEED
Gare, Paris, France
Founders
Alex Combessie
(CEO)Previously a Data Scientist for Capgemini. Held a number of roles related to data science and software engineering at Dataiku.
Dr Jean-Marie John-Mathews
(Co-founder)Has been a university lecturer at Université Paris Dauphine, Sciences Po and Aivancity School for Technology, Business and Society. Before co-founding Giskard, was a Manager at Chaire Good In Tech.
Andrey Avtomonov
(CTO)Has been a Software Engineer for numerous places, including CERN, Sberbank-Technology and Dataiku.
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