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Giskard

Testing framework for ML models

Giskard logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Enterprise
  • Deep Tech
  • Machine Learning
  • SaaS
Gare, Paris, France

Company mission

To provide AI professionals with a collaborative and open-source Quality Assurance platform to evaluate and test the quality of all AI models.

Our take

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Benefits

  • Remote-flex working models
  • Equity package
  • Remote office kit including MacBook computer, external monitor, keyboard, mouse, etc.
  • Health insurance (Alan)

Company values

  • Passionate about building robust solutions to real-life problems
  • Driven by customer needs and outstanding user experiences
  • Hungry to learn and improve every day
  • Conscious about technology's role in our society
  • Empathetic team players

Funding (2 rounds)

Mar 2023

$2.7m

GRANT

Dec 2022

$1.6m

SEED

Total funding: $4.3m

This company has top investors

Leadership

Previously a Data Scientist for Capgemini. Held a number of roles related to data science and software engineering at Dataiku.

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.

Has been a Software Engineer for numerous places, including CERN, Sberbank-Technology and Dataiku.

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