Introducing

Quality Control for AI

We are on a journey to help data scientists, engineers & business experts work together to create better AI models.

We are building a visual quality management platform for AI models, from prototype to production.

Quality is a major challenge to AI professionals

1

Prototype

Business experts and data scientists don't speak the same language

Data scientists spend a lot of time explaining the value of their work to business experts

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

2

Deployment

IT and data scientists spend a lot of time getting prototypes ready for production

IT engineers aim for secure and well-tested AI models

Data scientists have a hard time satisfying IT requirements

Business experts wait for deployment, and are kept out of the loop

3

Production

Hidden bugs are discovered by users long after the fact

Users lose trust in the product using faulty AI models

IT engineers are not equipped to identify and correct AI bugs

Data scientists are overwhelmed by maintenance tasks

A visual platform to manage the quality of AI models from prototype to production

Prototype

Inspect

Beta available

Help business experts inspect AI models visually to give feedback to data scientists

Deployment

Test

Automate testing of AI models by business experts, data scientists, and engineers

Deployment

Safeguard

Enable business experts to enforce human decisions in sensitive cases

Production

Monitor

Give IT engineers and data scientists actionable alerts on bad model behaviors in production

+ AI quality training, audit & certification services

Our Vision

Take back control of your AI

Quality control 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:

Increase the performance of your AI models
Mitigate the risks of AI incidents
Build trust with transparency-demanding 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.

Team

We are data scientists 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

Co-Founder & CEO

Worked 5 years at Dataiku as a Software Engineer & Data Scientist
Helped democratize AI for technical and business users in the enterprise world
Worked in strategy consulting and finance at Capgemini, EY & Natixis
Graduated from Ecole des Ponts, ENSAE ParisTech & the University of Toronto

Jean-Marie John-Mathews

Co-Founder & CPO

Finishing Ph.D. in AI Ethics at Paris Saclay & Institut Mines-Télécom
Coordinator of the Good In Tech institute
Worked as a Data Scientist at Thales & Capgemini
Graduated from ENSAE ParisTech, Sciences Po, Paris School of Economics & Sorbonne University

Want to join?

jobs@giskard.ai

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
Fun & empathetic team player

Introducing

Quality Control for AI

Quality is a major challenge to AI professionals

1

Prototype

2

Deployment

3

Production

A visual platform to manage the quality of AI models from prototype to production

Prototype

Inspect

Deployment

Test

Deployment

Safeguard

Production

Monitor

+ AI quality training, audit & certification services

Our Vision

Take back control of your AI

Team

Alex Combessie

Jean-Marie John-Mathews

Want to join?

Let's get in touch

hello@giskard.ai