Giskard, a Paris, France-based software startup specializing in artificial intelligence quality, raised €1.5 million in a funding round led by Elaia, with participation from investors including Bessemer Venture Partners.
Angel investors including Christine Balagué (Founder of Good in Tech), Julien Chaumond (CTO of Hugging Face), Oscar Salazar (Founding CTO of Uber), Nathalie Gaveau (Co-Founder of PriceMinister), Charles Gorintin (CTO of Alan), Nick Hernandez (CEO of 360Learning), Vincent Huguet (CEO of Malt), Shéhérazade Semsar de Boisséson (CEO of McCourt Global), Chris Schagen (ex-CMO of Contentful) and Victor Coisne (VP Marketing of Strapi) also participated in the round.
The investment will provide the startup with the firepower to engage in a sustained recruitment drive that will welcome additional talent to develop and commercialize its offer while venturing into new fields including computer vision, time series, and generative AI models.
“Giskard defends the vision of a Responsible AI that serves the business performance of companies & respects the rights of citizens. To embody this mission, Giskard enables AI professionals to collaborate with business teams to evaluate and test the quality of AI models,” says Alex Combessie, co-founder & CEO of Giskard.
Giskard’s AI Test product allows for the building of automated tests on AI models to measure critical quality criteria, including ethics, robustness, and efficiency.
Company: Giskard AI SAS
Funding Month: December 2022
Lead Investors: Elaia
Additional Investors: Bessemer Venture Partners, Christine Balagué, Julien Chaumond, Oscar Salazar, Nathalie Gaveau, Charles Gorintin, Nick Hernandez, Vincent Huguet, Shéhérazade Semsar de Boisséson, Chris Schagen, and Victor Coisne
Company Website: https://www.giskard.ai/
Software Category: Quality Management System (QMS) Software
About the Company: Founded by Alex Combessie, Jean-Marie John-Mathews, and Andrei Avtomonov, Giskard is the first collaborative & open-source software platform to ensure the quality of AI models., Giskard is taking on a staggering statistic: Since 2019, over 2,000 incidents related to Artificial Intelligence (AI) models have been reported on the AI Incident Database. The company’s AI Inspect product helps visualize and explain AI models to identify errors and biases, thereby making the AI development process more efficient, saving time, and greasing the wheels, as it were, between AI and business teams. Giskard helps organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models.