Plexe is a comprehensive automation tool designed to streamline the entire machine learning lifecycle, transforming raw data into deployable models with ease. It offers a suite of over 50 diagnostic tests to detect failure modes and generate actionable insights, dashboards, and models through plain English commands, eliminating the need for code or complex setups. By simply connecting your data, Plexe evaluates its quality and identifies key patterns, providing instant insights into what is effective and where opportunities lie.
With Plexe, users can create custom AI models tailored to specific business needs in a few straightforward steps. Whether the goal is predicting customer churn or detecting fraud, Plexe facilitates the journey from concept to a functional AI model in a matter of hours. Users can specify the model's purpose and desired outcomes in plain language, and Plexe handles the technicalities to deliver a production-ready solution.
Transparency is a core feature of Plexe, providing users with clear performance metrics, detailed training information, and comprehensible explanations of model predictions to ensure trust and reliability. The platform supports the entire model lifecycle, from initial creation to retraining and downloading, offering insights into training performance and technical details, such as preprocessing techniques like one-hot encoding for categorical variables.
Starter plan costs $1,000/month, offering 5 Model GBs and 1 million prediction requests per month with email support. The Growth plan is priced at $3,000/month, providing 20 Model GBs, 4 million prediction requests, and 10 models deployed concurrently, along with dedicated Slack support and priority issue resolution. The Business plan is $6,000/month, including 30 Model GBs, 10 million prediction requests, 20 concurrent models, dedicated Slack support, priority issue resolution, and custom integrations. The Enterprise plan offers custom pricing with tailored Model GB allocation, prediction request volume, unlimited concurrent models, dedicated support, private deployments, custom integrations, and team training.
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