"The superwise solution gave us an efficiency boost. We spent less time [...] trying to open the black box, and now we receive alerts before it's too late. This makes us very proactive".
Dmitri Romanov, Data Scientist
"By selecting superwise.ai we can ensure accuracy and efficiency of our data science efforts".
Aviad Klein, Director of Data Science
SimilarWeb, the company that measures the digital world, trusts superwise to assure the health of its models in production
We use superwise on a daily basis, our model is much more transparent. This enables us to make batter decisions and to move even faster than before.
Neomi Rosenvald, Marketing Analyst
Superwise named a Gartner Cool Vendor in the 2020 Enterprise AI Governance report
Superwise is part of NVIDIA inception program
Meet AI Assurance
Empower AI stakeholders with visibility and control onto the health of your models in production
Data Science
Shorten the time to detect & fix anomalies and optimize your models with a production first approach.
ML Engineering
Pain-free integration and key insights of your data health.
Operations
Move as fast as you need with the predictions. Independently.
Business
Foster trust and assure compliance in your AI-powered processes.
What we do
superwise already assures the health of millions of predictions everyday and brings value to organizations for any use case and from every platform
We analyze the whole ML process and provide a full analytical suite for you to slice and dice your predictions.
Thanks to its smart engine, the solution can predict performance over time and versions, and enables you to gain visibility in the absence of feedback.
What’s more, we pinpoint issues that happen at the most granular levels. Your business will love it too.
Get alerts the moment models start making unexpected decisions or developing unwanted biases, so you can make things right before serious damage is done.
With a production first approach, you can define more data driven retraining strategies and gain the granular insights you need to design better models. Of course, this can all be automated.
