1. Home icon Home Chevron right icon
  2. agents Chevron right
  3. Plexe
Plexe screenshot

Plexe

Visit site External link icon

Transform data into custom AI models that solve business challenges.

Contact for Pricing
Paid |
$$$
Agents Data Engineering Machine Learning

Overview

Plexe is a platform that transforms your data into custom AI solutions, enabling businesses to build and deploy machine learning models tailored to their specific needs.

Key Features:

  • Custom ML models
  • Data dashboards
  • API endpoints
  • Batch jobs
  • File upload
  • Database connectors

Use Cases:

  • Classifying support tickets by urgency
  • Detecting e-commerce fraud
  • Making credit decisions
  • Identifying customer churn
  • Building product recommendation systems

Benefits:

  • Instant actionable data insights
  • Full transparency in AI model performance
  • Quick model deployment
  • Enhanced decision-making capabilities
  • Improved customer retention

Capabilities

  • Converts plain-English ML intent into a runnable model-building plan
  • Generates production-ready training code for scikit-learn, PyTorch, and TensorFlow
  • Builds and trains models from uploaded datasets via Python SDK or REST API
  • Infers input/output schema automatically and generates synthetic data samples
  • Runs distributed training and evaluation using Ray for parallel workloads
  • Exposes deployed models as inference REST endpoints at https://api.plexe.ai
  • Packages and exports trained model artifacts for download (.tar.gz via save_model)
  • Provides model performance dashboards, training metrics, and human-readable explanations
  • Supports multi-provider LLM integrations (OpenAI, Anthropic, Ollama, Hugging Face)
  • Installs as pip package 'plexe' with Model.build, predict, save/load APIs
  • Accepts file uploads and database connectors as data inputs for model building
  • Schedules batch jobs and retraining flows and allows retrain/download from console

Community

Add your comments

0/2000