Aporia is a full-stack and highly customizable ML observability platform that powers data science and ML engineering teams to monitor, debug, explain and improve their machine learning models and data. Aporia is the ML Observability platform, trusted by Fortune 500 enterprises – including Bosch, Munich RE, & Sixt – and industry leaders to visualize, monitor, and ensure ML models are performing at their best, always.
Superwise is a model observability platform built for high-scale production ML. The platform is fully automated and automatically configures model metrics and analyzes anomalies to cut through statistical noise, create context, and focus teams on real issues impacting business operations. Giving practitioners fully automated, enterprise-grade model observability capabilities and monitoring customization, but with SaaS self-service control, in 5 minutes.
WhyLabs was started at the Allen Institute for AI by Amazon Machine Learning alums Alessya Visnjic, Sam Gracie, and Andy Dang, together with Maria Karaivanova, former Cloudflare executive. They are privately-held, venture-funded company based in Seattle. WhyLabs, they have their eyes set on an ambitious goal: to build the interface between humans and AI applications. They are starting with AI Observability. As teams across industries adopt AI, their Platform enables them to operate with certainty by providing model monitoring, preventing costly model failures, and facilitating cross-functional collaboration.