Quality Assurance for AI

We empower AI teams to build trust in AI models, saving time to validate models and reducing the risks of AI incidents in production

We are building the first open-source Quality Assurance platform for collaborative validation & testing of AI models.

Star us on GitHub and Join the community on Discord here!

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

V1 available

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.