Now in private beta — Manufacturing intelligence deployed

Agentic Manufacturing
for Smart Factories

AI-powered industrial automation that predicts failures before they happen, optimizes production in real-time, and troubleshoots equipment autonomously. Built with LangGraph multi-agent orchestration.

Join Private Beta View API Docs

-40%

Downtime Reduction

99.7%

Defect Detection

<50ms

Inference Latency

OPC-UA

Native Integration

Intelligent Manufacturing Stack

Multi-agent AI system that orchestrates predictive maintenance, quality control, and production optimization in real-time.

Predictive Maintenance

AI agents analyze vibration, temperature, and acoustic signatures to predict equipment failures 72+ hours in advance.

AI Quality Control

Computer vision agents detect microscopic defects invisible to human inspectors. Real-time pass/fail decisions with confidence scores.

Autonomous Troubleshooting

When alarms trigger, AI agents diagnose root causes, suggest remediation steps, and execute approved fixes automatically.

Production Optimization

Continuously optimize cycle times, energy consumption, and material flow using reinforcement learning agents.

PLC Integration

Native connectors for Siemens, Rockwell, Schneider PLCs. Read/write tags, trigger actions, integrate with legacy systems.

Real-time Analytics

Live OEE dashboards, bottleneck identification, and automated shift reports. Integrates with existing MES/ERP systems.

Multi-Agent Orchestration API

LangGraph-powered agent system that coordinates predictive maintenance, quality control, and troubleshooting agents. Each agent specializes in a domain and collaborates to optimize factory operations.

Sensor Data Ingestion

Stream data from OPC-UA, Modbus, MQTT sources. Time-series storage with automatic anomaly detection.

Agent Reasoning

Maintenance agents analyze trends, quality agents inspect products, optimization agents adjust parameters.

Action Execution

Agents trigger work orders, adjust PLC setpoints, notify operators, or escalate to human supervisors.

maintenance_agent.py

import requests

# Register a new machine for monitoring
response = requests.post(
    "https://api.industrialai.dev/v1/machines",
    json={
        "machine_id": "cnc_line_01",
        "sensors": ["vibration", "temperature"],
        "criticality": "high"
    },
    headers={"X-API-Key": "your-api-key"}
)

# Get predictive maintenance forecast
forecast = requests.get(
    "https://api.industrialai.dev/v1/predictions/cnc_line_01"
)
# Returns: failure_probability, recommended_action

# Trigger quality inspection
result = requests.post(
    "https://api.industrialai.dev/v1/quality/inspect",
    json={"image_url": "camera_03/latest.jpg"}
)

Industry 4.0 Applications

Proven AI automation for manufacturing, energy, and process industries.

Discrete Manufacturing

CNC machine monitoring, assembly line optimization, and robotic cell coordination for automotive and electronics.

Process Industries

Chemical plant optimization, refinery anomaly detection, and continuous process control for oil & gas.

Energy & Utilities

Turbine health monitoring, grid load forecasting, and predictive maintenance for power generation assets.

Manufacturing-Scale Pricing

Start with a pilot line, scale to the entire factory. ROI-positive from day one with reduced downtime.

Pilot

€99/mo

Perfect for pilot lines and proof-of-concept deployments.

3 machines monitored
Basic predictive models
Email alerts
7-day data retention

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Production

€299/mo

For factory-wide deployments with advanced AI agents.

25 machines monitored
All AI agents included
Priority support + Slack
90-day data retention
PLC/SCADA integration