For AI/ML Innovators

Use real-world enterprise scenarios to test, refine, and scale intelligent models.

Features

AI & ML Powerhouse

Train and deploy intelligent models for audits, anomaly detection, and predictive compliance.

Seamless Integration Hub

Connect with ERP, HR, and ECM systems through robust connectors and APIs.

Secure & Compliant Environment

Meet your data protection and audit standards with enterprise-grade security.

Rapid Development & Deployment

Build, test, and launch in days – not months – using intuitive tools.

API & Connector Ecosystem

Leverage a growing library of APIs and connectors to accelerate integration.

PASS Model Integration

Pnode Sandbox integrates the PASS model to accelerate development with reusable components and model-driven logic. Focus on value delivery, not technical debt.

Easy API Integration

Use our powerful APIs to easily integrate AI models into your applications.

Easy-to-use RESTful interfaces

Comprehensive documentation and code examples

Client libraries for Python, JavaScript, and Java

import { PnodeAI } from '@pnode/ai-sdk';

// Initialize the client
const client = new PnodeAI({
  apiKey: 'your_api_key_here'
});

// Train a custom model
async function trainModel() {
  const model = await client.models.create({
    name: "compliance-detector",
    type: "classification",
    trainingData: "./data/compliance_samples.json"
  });
  
  console.log("Model training started:", model.id);
  
  // Check training status
  const status = await client.models.getStatus(model.id);
  console.log("Training status:", status.state);
  
  return model;
}

// Use the model for prediction
async function detectCompliance(document) {
  const prediction = await client.predict({
    modelId: "compliance-detector",
    input: document
  });
  
  console.log("Compliance score:", prediction.score);
  console.log("Compliance issues:", prediction.issues);
  
  return prediction;
}

// Execute the workflow
trainModel()
  .then(model => detectCompliance({
    text: "Annual financial report 2023...",
    metadata: { department: "Finance", year: 2023 }
  }))
  .catch(error => console.error("Error:", error));