Functions, Users, and Comparative Analysis
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Build AI products you can trust.
We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor, visualize, and explain your ML models in production. Aporia and Databricks: A Match Made in Data Heaven One key benefit of this […]
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 […]
Create customized dashboards for each one of your production models. Easily track the most important metrics, identify areas for improvement, and ensure your models are on the right track.
Experience real-time performance visibility, analyze production data and insights with ease, and share your results with stakeholders through Aporia’s automated dashboards.
For a more hands-on feel become a widget master, and customize your Aporia experience to showcase the metrics, graphs, and numbers that are important to you. Segment churn prospects and optimize LTV/CAC. Truly focus on the goal of understanding what draws in your customers and how to improve their lifetime value.
See a live view of all your models in one place. Keep an eye on model activity, inference trends, data behavior, actual model performance (F1, Precision, RMSE, etc.) and more.
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
See why Data Scientists, ML Engineers and Business Stakeholders love Aporia.
ML Engineering Team Lead
“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."
VP R&D
“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.”
General Manager AIOps
“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.”
Co-Founder | VP R&D
“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.”
Data Scientist
“We develop and deploy models that impact students' lives across the country, so it's crucial that we have good insight into model quality while ensuring data privacy. Aporia made it easy for us to monitor our models in production and conduct root cause analysis when we detect anomalous data."
“As an early stage startup, starting to launch ML models in the fintech sector, monitoring the predictions and changes in our data is critical, and Aporia has made it easy by providing the right integrations and is easy to use."
