Model observability for Fraud detectionLife Time Value (LTV)Claim fraudSpam detectionContent creationDemand forecastingPredictive maintenanceTranslationQuestion answeringSummarizationAudio-to-textLending approvalFacial recognitionChatbotsClick Through Rate optimizationRecommendation engines
Get in minutes what used to take years to build. Simple, customizable, scalable, secure, ML monitoring.
We use Superwise on a daily basis to get transparency and detect drift and model decay. Enabling us to better understand changes, connect them to real events and data bugs, and make better decisions and move even faster than before.
Superwise named a Gartner Cool Vendor in the 2020 Enterprise AI Governance report.
Today, we use Superwise to monitor over 6K metrics in real-time. Giving us control over our dynamic business and peace of mind that we’ll always know about unwanted issues.
Superwise was highlighted as an MLOps solution vendor in Forrester’s 2020 “Introducing ModelOps to Operationalize AI” report.
By selecting Superwise we can ensure accuracy and efficiency of our data science efforts.
Director of Data Science
Superwise is part of the NVIDIA inception program.
We’re excited to partner with Superwise. Superwise’s model observability integration with Datadog will help MLOps teams ensure models maintain calibration and accuracy during their lifetime in production.