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Perpetual ML

Unified ML studio with AutoML training, experiment tracking, and deployment — connects directly to your data warehouse

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perpetual-ml.com
Verified API available
What is it Unified ML studio with AutoML training, experiment tracking, and deployment — connects directly to your data warehouse
Pricing Paid
Free tier Yes
Platform Web Application
API Yes
Best for automated model training and comparison, production ML model deployment
Domain registered 2024

Data updated Aug. 1, 2026

What does Perpetual ML do?

Perpetual ML is a comprehensive machine learning studio that provides everything data teams need to build, deploy, and maintain ML models in one unified platform. It offers automated model training using their PerpetualBooster algorithm (ranked #1 on AutoML benchmarks), experiment tracking to compare different models, and seamless deployment options for both batch and real-time inference. The platform handles the entire ML lifecycle from initial exploration to production monitoring.

What sets Perpetual ML apart is its native integration with existing data warehouses like Snowflake (with Databricks support coming soon), meaning your data never leaves your secure environment. The platform includes continual learning capabilities that dramatically reduce training time from O(n²) to O(n), and it uniquely focuses on optimizing business objectives like profit maximization or risk minimization rather than just technical metrics. The interface includes Marimo notebooks for collaborative data exploration and a model registry for version control and team collaboration.

This tool is ideal for data science teams and solo developers who want to accelerate their ML workflows without sacrificing control or security. It's particularly valuable for organizations already using Snowflake who want to add machine learning capabilities directly within their data environment. Real-world use cases include building predictive models for business forecasting, creating recommendation systems, and developing ML solutions that continuously improve from real-world data without manual retraining.

Data & Analytics — OtherFor Data AnalyticsMonitorPredictions
#automl#continuous-learning#data science#experiment tracking#machine learning#mlops#model training#snowflake-integration

Key features

What makes it stand out
01
Auto Train with PerpetualBooster algorithm (#1 on AutoML benchmarks)
02
Continual learning that reduces training time from O(n²) to O(n)
03
Business decision optimization for profit maximization and risk minimization
04
Native integration with Snowflake data platform (Databricks coming soon)
05
Full ML lifecycle management from experimentation to production monitoring

Who is Perpetual ML for?

Who benefits most from this tool
automated model training and comparison
production ML model deployment
continuous model monitoring and retraining

Pricing

Free tier available — start without a credit card

Shared CPU

Custom
  • 0.0001 per vcpu second
  • Compute

Persistent Storage

Custom
  • 0.0001 per GB hour
  • Storage

Egress

Custom
  • 0.1 per GB
  • Network

1-9 Tasks

Free
  • 1-9 monthly tasks
  • auto train
  • continual learning
  • metric monitoring
  • data drift monitoring
  • concept drift monitoring
  • optimal business decisioning

10-99 Tasks

Custom
  • 10-99 monthly tasks
  • 9.9 per task per month
  • auto train
  • continual learning
  • metric monitoring
  • data drift monitoring
  • concept drift monitoring
  • optimal business decisioning
  • enterprise support

Trust & presence

Domain Domain registered 2024

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