Everything you need for AI Performance in one platform.
We decided that Docs should have prime location.
Fundamentals of ML observability
Metrics, feature importance and more
We’re excited ???? to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
Book a demo and see how to easily monitor, explain, and improve your ML models with Aporia’s Customizable ML Observability.
Create systems that are data-driven and require little to no human intervention. Make your processes work more accurately and at scale.
Produce more accurate predictions. Get the most from metrics that are key in making a cost-benefit analysis.
Provide ML stakeholders with insights into how the model interacts with the data and users it comes in contact with.
Eliminate the effects of data drift and concept drift on the performance of an ML model.
Improve models in production
Know the why behind your model's predictions
Create automated & customized monitoring tailored to your specific use cases and models
Create automated & customized
See a live view of all models in one place
Instantly detect data drift, bias & data integrity issues
“In a space that is developing fast and offerings multiple competing solutions, Aporia’s platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.”
Principal, MLOps & Data Engineering
“As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models' performance and take full control of it."
ML Engineering Team Lead
“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”
VP R&D
“With Aporia's customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”
General Manager AIOps
“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”
Co-Founder | VP R&D
