www.aporia.com
Open in
urlscan Pro
34.75.22.35
Public Scan
Submitted URL: http://aporia.com/
Effective URL: https://www.aporia.com/
Submission: On December 04 via manual from US — Scanned from DE
Effective URL: https://www.aporia.com/
Submission: On December 04 via manual from US — Scanned from DE
Form analysis 0 forms found in the DOM
Text Content
Jupyter Notebook + Space Invaders!? Try Train Invaders>> * Cool Stuff * MLOps Toys 🎮 * MLNotify 🔔 * Train Invaders 👾 * Blog * About * Docs Menu * Cool Stuff * MLOps Toys 🎮 * MLNotify 🔔 * Train Invaders 👾 * Blog * About * Docs * * Log in Sign up Menu * Cool Stuff * MLOps Toys 🎮 * MLNotify 🔔 * Train Invaders 👾 * Blog * About * Docs LOG IN Sign up THE EASIEST WAY TO MONITOR ML MODELS IN PRODUCTION CUSTOMIZED MONITORING FOR YOUR ML MODELS Aporia is free to use. Get started in 2 minutes. Start Now YOUR DATA IS SECURE WITH SELF-HOSTED DEPLOYMENT Amazon Web Services Kubernetes Google Cloud Azure Featured on MONITORING THAT’S ALMOST AS SMART AS YOU Create customized monitors for your ML models in production with our magically-simple model monitor builder, and get alerts for issues like concept drift, model performance degradation and more. GET STARTED IN UNDER 5 MINUTES Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or an ML platform like AWS Sagemaker. Read Docs PYTHON PACKAGE Easily integrate Aporia’s python package to your serving application and report live inferences. TensorFlow LightGBM Amazon Sage Maker Scikit Learn PyTorch dmlc XGBoost REST API Using a different programming language? Use Aporia’s REST API to log inferences and get live monitoring. C# Models C++ Apps Go Language Java Apps CLOUD STORAGE Already have inference data in cloud storage? Connect Aporia to CSV and Parquet files from your cloud storage of choice. Google Cloud Storage Azure Blob Storage Amazon S3 PYTHON PACKAGE Easily integrate aporia’s python package to your serving application and report live inferences. TensorFlow LightGBM Amazon Sage Maker Scikit Learn PyTorch dmlc XGBoost REST API Using a different programming language? Use Aporia’s REST API to log inferences and get live monitoring. C# Models C++ Apps Go Language Java Apps CLOUD STORAGE Already have inference data in cloud storage? Connect Aporia to CSV and Parquet files from your cloud storage of choice. Google Cloud Storage Azure Blob Storage Amazon S3 Start Now CLEAR VISIBILITY TO YOUR ML MODELS See a live view of all your models in production, in one place. Monitor model activity, inference trends, data behavior, actual model performance (F1, Precision, RMSE, etc.) and more. CLEAR VISIBILITY TO PRODUCTION ML 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 DETECT DRIFTS, BIAS & DATA INTEGRITY ISSUES Want to ensure your model is not making biased predictions against Gotham City residents between the age of 25 to 40? Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and integrity issues. Aporia also offers important data segments automatically – not necessarily where Batman lives 🦇 INVESTIGATE THE ROOT CAUSE When there are issues with your models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution. NATURALLY FITS IN YOUR WORKFLOW Using MLFlow or Weights & Biases for experiment tracking? Want to get alerts on Slack or Microsoft Teams? Already have an existing infra monitoring solution like Prometheus & Grafana? No problem. MLFlow Sync your experiment IDs to Aporia to monitor and investigate different versions of your models. Slack Send alerts directly to a Slack channel. Microsoft Teams Send alerts directly to your Microsoft Teams channels. JIRA Automatically create JIRA tickets from Aporia. New Relic Send alerts and metrics to New Relic, and correlate your ML alerts with engineering incidents. Grafana Create a live dashboard in Grafana for your ML models. Prometheus Visualize ML-related metrics from Aporia using Prometheus & Grafana. SageMaker Create customizable monitoring for your models running on Sagemaker using Aporia. LOVED BY See why data scientists, ML engineers, and R&D love using Aporia’s ML monitoring platform. This truly is the next generation of MLOps observability. “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.” Guy Fighel General Manager AIOps Aporia has made it easy by providing the right integrations “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.” Carlos Leyson Data Scientist at Bankaya Aporia made it easy for us to monitor our models “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.” Lukas Olson Data Scientist Full visibility into our models’ performance “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.” Orr Shilon ML Engineering Team Lead Aporia tackles this challenge head on. “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.” Daniel Sirota Co-Founder | VP R&D Monitoring ML models will become a standard. “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.” Aviram Cohen VP R&D at Armis Start Monitoring Your Models in Minutes Start Now log in Resources * Aporia Blog * Documentation * Concept Drift 101 * Concept Drift Detection * How to Build an ML Platform Cool Stuff * MLOps.toys * MLNotify * Train Invaders Company * About * © Aporia 2021 * Privacy Policy * Terms of Use Github Linkedin-in Twitter Github Linkedin-in Twitter * © Aporia 2021 * Privacy Policy * Terms of Use