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“ML engineers need better tools to ensure high-quality data through all stages of an ML project's lifecycle. AI Fund is excited to support WhyLabs, whose open source logging library and AI observability platform makes it easy for developers to maintain real time logs and monitor ML deployments.”
“I think tools like this could really help standardize around what types of things you’re alerting on, and how you’re defining those rules. And how you’re visualizing it. Which would not only be useful for data scientists, but I think it would also be useful for other stakeholders. For PMs and POs, and engineers that are actively managing these products, after they are live.”
Arize AI is a machine learning observability platform to help unpack the proverbial AI black box. Their solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.
Encord is the active learning platform for computer vision. Encord provides one AI-assisted platform to annotate, orchestrate collaborative labeling and quality control workflows, find & fix errors in your training data, and train & diagnose models to deliver value from your AI initiatives faster.
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.
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