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 […]
The most advanced ML observability platform in the market
Imagine your dream observability system for production ML Aporia has it all and more.
Know the why behind your models predictions
Centralized, real-time view of model health & performance
Detect drifts, bias and data integrity issues
Get to the root cause and improve models with production data
Trust takes seconds to lose and months to regain. Gain peace-of-mind with Aporia's ML observability built for teams of all sizes.
Connect directly to your data lake - Redshift, S3, Athena, Databricks, Snowflake, and BigQuery - without duplicating your data..
Centralize model management under a single hub for deep model visibility, and tailor dashboards to track inference trends, data behavior, and performance.
Customize monitoring and get live alerts to Slack / MS Teams on any drift, bias or data integrity issues.
Slice and dice production data to find patterns, new opportunities, visualize unstructured data, and pinpoint root cause in a collaborative, notebook experience.
Understand feature impact and the logic behind your models’ decisions with XAI.
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."
