Giskard

As founders, we created Giskard because we were frustrated at how difficult it is to ensure AI models' performance, fairness & reliability. We are AI practitioners: Data Scientists, Software Engineers & AI Ethicists. We combine 20 years of experience developing business-critical AI systems, particularly at Dataiku, Thales & CERN.

We are driven by quality standards from mature engineering practices: manufacturing and software. Partners of AFNOR and ISO, we want to help bring AI into the age of Quality.

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 & test the quality of AI models.

We believe in good engineering, collaboration & responsible innovation. We are:
  • 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

We are remote-flex. We value productivity and work/life balance. You can visit our office weekly if you live around Paris. You can also work remotely and come to the office monthly.

We offer a remote office kit to all employees: a MacBook computer, external monitor, keyboard, mouse, etc. We also offer the best health insurance plan in France, Alan Blue.

All full-time employees are granted a significant equity package. We want to include everyone in the adventure and make it a collective win.

26 Apr, 2024
Full time
Giskard Paris, France
Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. Co-founded by 2 ex-Dataiku engineers and 1 researcher in AI Ethics , we are leveraging our deep experience in AI to build the first collaborative & open-source Quality Assurance platform for all AI models . We call our platform the "Three-point Safety Belt" for AI models! 🚗 1. Open-source ML Testing library to help Data Scientists detect vulnerabilities & biases in ML models, automatically. 2. Collaborative AI Quality Hub to help ML Engineers test, debug & explain AI models visually 3. LLMon to monitor Large Language Models (LLM) applications to detect hallucinations & issues in real time. Track record In 2022, we raised our first round of 1.5 million...