Functions, Users, and Comparative Analysis
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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 […]
Revolutionize your ML observability with Aporia, by seamlessly integrating with your Amazon S3 bucket through direct data connectors. Monitor model performance in minutes, stay ahead of model drift, and scale your production ML.
Thousands of data science & ML teams use us to achieve their AI goals
Start monitoring all your production data in less than 7 minutes and create a single source of truth to guarantee your production data is reliable.
Tap into the power of ML observability directly from your data source. With DDC, your data science & ML teams maintain full visibility over production models, while also ensuring the privacy and security of your data.
#Data Scientist #ML Engineer #Product Manager
#ML Platform Engineer #MLOps Engineer
#Analyst #Business Stakeholder
Bring model performance to life and identify areas for optimization with Aporia’s live dashboards. Track key metrics and easily detect drift, performance degradation, and model decay to ensure your models are always performing at their best. Understand feature impact with XAI and seamlessly investigate the root cause of any issue in production.
In under 7 minutes, deploy Aporia on your AWS, Google Cloud, Azure, or Databricks account. Centralize Connect directly to the data source where you store your models’ predictions, whether on BigQuery, Snowflake, PostgreSQL, S3, or any other data store.
Aporia helps to reduce costs and improve the ROI of machine learning projects. Customize dashboards to highlight business metrics that drive revenue. By leveraging Aporia's advanced analytics capabilities, gain deep insights into the value your models provide and how it impacts the business.
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.
Create custom metrics to analyze production data in ways that tailor to your Business KPIs and goals.
Utilize custom metrics to gain unparalleled visibility into your model performance, enabling you to effectively troubleshoot and optimize your production models for improved ML and business outcomes.
Get a unified view of all your models under a single hub. Keep an eye on model activity, inference trends, data behavior, model performance (f1 score, Precision, RMSE, etc).
Uncover the mysteries and wonders of production ML by exploring Aporia's treasure chest of visualization tools - the more you explore, the more insights you'll gain.
Just like a sudden rain shower on a sunny day, drift and bias can catch even the best-performing models off guard.
Zoom into specific data segments to track model behavior. Detect unexpected biases, underperformance, drifting features, and data integrity issues. Reduce the impact of incorrect predictions while maintaining the integrity of your models in production.
