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Quality Assurance cures growing pains felt by AI teams

1

Prototype

Assessing model quality requires time & cross-team collaboration

Data scientists spend a lot of time validating model quality with business stakeholders

Business experts have no simple way to verify models created by data scientists

2

Deployment

Testing AI models is hard, and data quality is not enough

ML engineers aim for secure and well-tested AI models

Data scientists have a hard time satisfying test requirements

Errors are often caused by data that did not exist at model training time

3

Production

Unexpected bugs & biases appear, requiring constant maintenance

Users lose trust in the product using faulty AI models

ML engineers become firefighters after users report AI bugs & biases

Data scientists & ML engineers are overwhelmed by maintenance tasks

One Quality Assurance platform, from prototype to production

Prototype

Inspect

Review your AI models collaboratively with business experts to get feedback on sensitive cases

Deployment

Test

Turn your feedback into executable tests for a safe deployment and automate model testing

Production

Monitor

Give ML engineers & data scientists actionable alerts on bad model behaviors in production

+ AI model certification = Insurance 

Our Vision

Take back control of your AI

Quality Assurance is not a regulatory requirement. It is a competitive advantage. It is an opportunity for you to increase and secure the business value of your AI investments:

  • Mitigate risks of AI incidents
  • Save time in your AI development process
  • Build trust with transparency-driven customers

We are inspired by quality standards from mature industries: manufacturing, finance, software engineering. We want to partner with you to bring AI into adult age.

Founding Team

We are data scientists and engineers with experience in real-life AI applications.
We explore the interplay between software, people & business problems.
We believe in good engineering and useful products.

Alex Combessie

Alex Combessie

Co-founder & CEO

  • 5 years at Dataiku as Lead Data Scientist & ML Software Engineer
  • Contributed to democratizing AI in the enterprise world
  • Former strategy consultant & financial analyst at Capgemini, EY
  • Ecole des Ponts, ENSAE & University of Toronto
Jean-Marie John-Mathews

Andrey Avtomonov

Co-founder & CTO

  • 5 years at Dataiku as Senior Software Engineer
  • Developed core AI features: Labeling, Deep Learning
  • Former software engineer at CERN and Sberbank
  • Moscow Engineering Physics Institute
Jean-Marie John-Mathews

Jean-Marie John-Mathews

Co-founder & CPO

  • Completed Ph.D. in AI Ethics at Institut Mines-Télécom
  • Associate Professor at Aivancity and Good in Tech researcher
  • Former Data Scientist at Thales & Capgemini
  • ENSAE, Sciences Po, Paris School of Economics & Sorbonne 

Careers

Want to join?

  • Passionate about building robust solutions to real-life problems
  • Driven by customer needs & outstanding user experience
  • Hungry for learning new skills every day
  • Conscious about technology's role in our society  
  • Empathetic team player

Visit our Jobs page and apply to join the adventure!

Let's get in touch

hello@giskard.ai

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