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 […]
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.
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.
Thousands of data science & ML teams use us to achieve their AI goals
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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.
Integrate seamlessly with other MLOps tools, like Vertex AI, MLFlow, Sagemaker, and Kubeflow, and get a unified view of all your models in production.
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 ML monitoring tailored to your specific needs, models, and use cases in minutes with Aporia’s ML observability platform.
Tailor dashboards to your needs 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.
Proactive monitoring ensures your production models maintain high performance and reliability. Quickly detect drift, bias, performance degradation, and other production issues before they impact your business.
