The most advanced ML Observability product in the market
Building an ML platform is nothing like putting together Ikea furniture; obviously, Ikea is way more difficult. However, they both, similarly, include many different parts that help create value when put together. As every organization sets out on a unique path to building its own machine learning platform, taking on the project of building a […]
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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 […]
Centralize your production ML to maximize its impact
Showcase the value of your production ML with single pane of glass visibility and advanced model monitoring. Gain peace of mind knowing your models are performing at their best and driving ROI.
Start monitoring all your models 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 ensuring your data's privacy and security.
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.
#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.
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.
You know your models best. Whether you want to streamline workflows, improve customer engagement, or drive sales, monitoring your models’ output is essential to easily improve performance. Explore our range of use cases and see how we can help you reach your goals.
Monitor behavior patterns, segment customers, and take action accordingly to ensure that the customers you invest in generate revenue and profits.
Scale recommender systems in production. Drive more revenue, increase conversions and engagement, and enhance trust in your models’ recommendations.
Boost sales and respond quickly to changes in market demand, inventory levels, and competitor pricing to ensure you’re not outpricing potential customers.
Ensure your Lead Scoring Model is providing its intended value so that you can nurture the leads that will actually lead your business to success.
Win back customers by increasing retention rate and accurately predicting customer churn rate with
Ensure that your Credit Risk Model performs as intended so that you can rest easy knowing that your loans are compliant, fair, and repaid (with interest, of course).
Ensure your Fraud Detection Model works as intended so that you keep the customers that generate your revenue and profit -- and ditch the bad eggs.
Improve your business's ability to capitalize on ever-changing demand and ensure that you aren't missing out on sales nor losing money on wasted inventory
Ensure your Language Models are performing as intended with real-time model monitoring, live drift alerts, and explainability.
See why data scientists, ML engineers, and R&D love using 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.”
