Outproduce.
Outperform.
Outmaneuver.
Orchestrate AI across production, quality, and supply chain—from factory floor sensors to autonomous systems. ARPIA turns OT/IT data into competitive advantage with governed intelligence that makes manufacturers faster, more efficient, and more resilient than competitors.
Why Manufacturing
Needs AI Orchestration
Manufacturers face unique challenges deploying AI at scale
Siloed Factory Intelligence
Production data in SCADA, quality in MES, supply chain in ERP, maintenance in CMMS. AI needs unified access across OT and IT systems to optimize holistically—but integration is complex and risky.
Ungoverned Robotics & AI
Robots, cobots, and AI systems making physical decisions. One wrong command can damage equipment, waste materials, or injure workers. Need governance without slowing automation.
Problems Discovered Too Late
Quality issues found after production runs. Equipment failures cause unplanned downtime. Supply chain disruptions discovered when parts don't arrive. Reactive firefighting instead of proactive optimization.
Expertise Walking Out the Door
Critical process knowledge in veteran workers' heads. New operators take months to reach proficiency. Troubleshooting relies on finding the right expert. Knowledge not captured or accessible at scale.
ARPIA: Intelligent
Manufacturing Platform
ARPIA unifies OT and IT data—from sensors and PLCs to ERP and MES—into a governed knowledge graph. AI assistants give operators instant access to production intelligence. Proactive AI detects anomalies and orchestrates responses. Deploy manufacturing AI in 30-90 days with built-in safety controls.
Manufacturing Intelligence
Use Cases
Production Intelligence Assistants for Operators
Empower factory workers with AI assistants that have governed access to production knowledge—SOPs, equipment manuals, troubleshooting guides, historical performance data—turning every operator into an expert.
The Problem
- New operators take 6+ months to reach full productivity
- Critical knowledge in veterans' heads, not documented
- Troubleshooting requires finding the right expert
- Equipment manuals buried in 1000+ page PDFs
ARPIA Solution
- AI assistants with access to complete production knowledge graph
- Natural language queries: "How do I calibrate Line 3?"
- Real-time guidance with SOPs, diagrams, video references
- Role-based access ensures safety-critical procedures protected
Business Impact
- Operator productivity: 3 months to proficiency vs. 6+
- 50% reduction in escalations to senior techs
- Troubleshooting time reduced 60%
- Knowledge preserved even as veterans retire
Proactive AI: Quality & Predictive Maintenance
ARPIA's proactive AI continuously monitors production sensors, equipment health, and quality metrics—detecting anomalies early and generating prioritized tasks before issues become costly failures or defects.
The Problem
- Equipment failures cause unplanned downtime ($M/hour lost)
- Quality issues discovered after entire batch produced
- Sensor data overwhelming—teams miss critical signals
- Reactive firefighting instead of prevention
ARPIA Solution
- AI analyzes sensor streams, vibration, temperature, pressure continuously
- Auto-generates tasks: "Inspect bearing on Line 2—vibration anomaly detected"
- Quality AI correlates parameters to detect drift before defects occur
- Prioritized by impact: safety > downtime > efficiency
Business Impact
- 40% reduction in unplanned downtime
- 28% fewer quality defects (early detection)
- Maintenance team focuses on high-priority issues only
- Equipment lifespan extended 18 months on average
Supply Chain Orchestration: Production + Logistics Intelligence
Orchestrate AI across production schedules, inventory, supplier data, and logistics—proactive AI detects supply risks and generates tasks to prevent stockouts or excess inventory before they impact operations.
The Problem
- Production schedules based on outdated supplier data
- Stockouts discovered when parts needed for production
- Excess inventory ties up capital ($M in working capital)
- Manual coordination across procurement, production, logistics
ARPIA Solution
- Unified view: production demand + supplier performance + logistics
- AI detects risks: "Supplier X delayed—adjust Line 4 schedule"
- Generate tasks: expedite orders, adjust production, alert customers
- Human planners make final calls with full context
Business Impact
- 85% reduction in production delays from part shortages
- Inventory carrying costs reduced 30%
- On-time delivery improves from 82% to 96%
- Planner productivity: manage 3x SKUs effectively
Manufacturing-Scale AI Platform with Autonomous System Governance
Deploy any manufacturing use case—quality control, predictive maintenance, robotics coordination, energy optimization—on a single platform that governs AI and autonomous systems at scale with built-in safety controls.
The Problem
- Each AI project requires custom OT/IT integration
- Robotics and automation deployed without coordination
- 12-18 months to deploy manufacturing AI
- Ungoverned autonomous systems create safety risks
ARPIA Solution
- Single platform for all manufacturing AI use cases
- Govern robots, cobots, and autonomous systems with safety rules
- Deploy new capabilities in 30-90 days
- Scale from one line to enterprise-wide
Business Impact
- 12+ manufacturing AI use cases on one platform
- Zero safety incidents from autonomous systems
- 65% reduction in AI infrastructure costs
- 22% increase in Overall Equipment Effectiveness (OEE)
Built-In Governance
for Manufacturing
Enterprise AI governance and orchestration designed for manufacturing use cases
AI Governance Engine
Unified policy control for every production AI system, robot, and sensor data interaction. Real-time enforcement of quality standards, safety protocols, and operational rules across all AI applications.
Complete AI Audit Trails
Full traceability of every AI decision, predictive maintenance action, and quality control intervention. Complete audit logs for ISO compliance, quality management, and operational excellence documentation.
Production AI Governance
Continuous monitoring of AI model performance, prediction accuracy, and system reliability. Automated validation workflows for quality control, predictive maintenance, and supply chain optimization.
Agent Orchestration
Governed orchestration of AI agents across production lines, quality control, and supply chain management. Policy enforcement ensures agents operate within safety boundaries and quality standards.
Knowledge Governance
Unified knowledge ontology connecting production data, quality metrics, and operational procedures. Ensures AI agents access only authorized, governed knowledge with full traceability.
Real-Time Policy Enforcement
Automated policy rules for production data access, AI model usage, and robot behavior. Proactive alerts for quality violations, safety risks, and operational deviations before they impact production.
Outmanufacture Your Competition
Leading manufacturers deploy intelligent AI in 30-90 days with ARPIA—achieving 40% less downtime, 28% better quality, and 22% higher OEE while competitors struggle with disconnected systems. See how governed intelligence creates manufacturing advantage.