The SaaS CFO · Ben Murray
podcastplaybookData Scientist Raises €1.5M to Automate the Evaluation and Debugging of AI and LLM
Source excerpt
About The SaaS CFOGiskard, 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. I interviewed Alex Combessie, co-founder and CEO at Giskard. Alex started his career in finance and loved the data part of finance and strategic consulting. He went back to school for data science and became a software engineer and data scientist. 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. 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),…
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Apollo layer
What a founder can learn
Founder takeaway
Look for critical workflows where emerging technology still relies on inconsistent manual checks. Giskard’s approach suggests a product opportunity in turning AI quality criteria—such as robustness, ethics, and efficiency—into repeatable automated tests.
Why it matters
As AI adoption grows, dependable evaluation can become part of the product infrastructure rather than an occasional review. Automating it can help teams detect issues earlier and apply consistent standards across models.