Business Cases
What are your needs ?
Thanks to our library of blueprints dedicated to the main types of business problem, we can easily implement AI by proposing design tool chains dedicated to each of the most common industrial needs and problems.
While any of our blueprint can be easily and fully customized to fit your need and specificities, it is also possible for Safenai to design a tailor-made solution for you.
While any of our blueprint can be easily and fully customized to fit your need and specificities, it is also possible for Safenai to design a tailor-made solution for you.
Our product
Klarity is a Software as a Service (Saas) platform that can be easily integrated with existing engineering environments ; it enables the observability and the governance of the whole AI-based component lifecycle : for each iteration, from specification to deployment in operation.
From this software suite, we propose Klarity Operate, which will allow you to control and monitor your AI in operation
From this software suite, we propose Klarity Operate, which will allow you to control and monitor your AI in operation
Klarity Operate
Why you need ?
Klarity Operate ensures that your AI component does not drift from the expected design intent. If it does, it will raise alerts to identify the source of the problem and allow you to take measures needed to remediate.
Benefits
- Real-time monitoring of your AI component in operation,
- Identify necessary data to further improve your AI component,
- Provide best in-class explainability for user adoption and supervision,
- Enable interpretability of operation drift and allow the continuous development for correction,
- Control return on investment.
Klarity Build
Why you need ?
Klarity Build helps business, development and compliance teams to develop, evaluate and validate your AI component before deployment : robustness, explainability, fairness, data quality and more.
Klarity Contract
Why you need ?
Klarity Contract helps business, development and compliance teams to formalize AI specifications, requirements, risks and expected return on investment. On this basis, they can validate whether or not starting development of the AI business case.