One intelligent layer across your entire factory network. Monitor live, diagnose instantly, share solutions across every plant — and see the business impact.
Senior engineers carry critical repair knowledge in their heads and in unstructured documents. When they leave, it disappears. Every new fault becomes a manual search.
Your machines on the floor don't talk to your business software. Live sensor signals never reach the systems that could reason about them and take action.
Operations, maintenance, and leadership each see a fragment. No system connects live signals, root-cause reasoning, and business KPIs in one place — until now.
PAIOS sits between your machines and your people. It ingests live data, reasons over a knowledge graph of every asset, and answers questions — in chat, by voice, or visually.
Sensors and PLCs publish live signals over MQTT to the EMQX broker — the factory data hub.
Every asset, fault, cause, and repair is modeled. PAIOS knows what breaks together and why.
The orchestrator routes your question to the right specialist agent — diagnosis, repair, search, or build.
Chat, voice, or photo — get a precise answer with steps, parts, and blast-radius impact. Instantly.
The Executive Cockpit turns every resolved fault into a measurable business outcome in real time.
From the shop floor to the boardroom — every module is live, connected, and reasoning over your real asset data.
A live factory dashboard fed by real MQTT telemetry. See overall OEE, per-line status, throughput, energy consumption, and active alerts — all updating in real time. When Line 4 goes critical, you know in seconds, not hours.
Boardroom-ready analytics. MTTR reduction by sector, OEE trend over 24 weeks, downtime by cause, and hours saved — computed directly from your 200 ingested assets. Share or Export PDF in one click.
An interactive ontology of 503 nodes spanning your entire enterprise — sectors, areas, machines, faults, and repair procedures. Click any machine to see its failure modes, blast radius, and what else goes down if it fails.
Type or speak — the orchestrator routes your question to the right agent and answers in plain language. Ask about a fault, request repair steps, search assets, or count machines across any sector.
The same intelligence, without a keyboard. Tap the mic, ask about a fault, a repair, or asset count — PAIOS routes through the orchestrator and speaks the answer back. Built for the shop floor where hands are busy.
Drop a PDF robot manual — PAIOS extracts fault codes, procedures, and specs and builds them into the knowledge graph automatically. Deduplication ensures uploading the same manual twice never creates duplicate nodes. Connect SharePoint to auto-pull documents continuously.
A complete registry of every machine in the knowledge graph. Search by model, serial number, plant name, or fault symptom. Find the right asset in seconds — not minutes of manual lookup.
A growing library of AI agents, each trained for a specific factory job. Activate an agent with a single click — or a natural language prompt. The Reasoning Engine orchestrates them all.
SCADE is not a parts lookup. It's a causal intelligence engine. The moment PAIOS detects a fault, SCADE traces exactly what breaks downstream, ranks every mitigation option by cost, speed, and risk — and puts a ranked decision in front of your manager before they've opened a spreadsheet.
A deterministic engine that maps exactly how a fault at one node ripples outward — and backward — through the factory supply chain graph. Not just "this machine is down" but every supplier, shipment, and downstream commitment affected, traced causally.
Paired with the blast radius — tells you in real time which suppliers, routes, parts, and assets can substitute for the disrupted one. Mitigation isn't "here's the problem" — it's "here's exactly what you can swap in right now."
Every mitigation option ranked along a Pareto frontier — cost vs. speed vs. risk. Not a single "best answer" but a decision surface. Your manager chooses the tradeoff that fits the situation, with all the data already in front of them.
The War Room is an AI-driven mitigation workspace layered on the deterministic engine. It generates a unified narrative and Pareto mitigation cards from real database values — grounded, not hallucinated. Runs on whichever AI model your enterprise already uses.
Real-time visual of supply chain health and disruption propagation — wired to live data as it flows.
Tracks trucks via GPS or Samsara telematics — proximity-triggered alerts match backhaul freight with available suppliers.
AIS vessel tracking (aisstream.io) and Samsara truck telematics — disruptions caught from live positional data, not reports.
Native connectors for SAP, Oracle, SQL Server, MySQL, Postgres. Single-tenant per deployment — your data stays on your infrastructure.
PAIOS unifies live OT telemetry, a reasoning knowledge graph, and specialist AI agents in a single sovereign platform. No data leaves your infrastructure.
Machines and PLCs stream live data over MQTT → EMQX broker → WebSocket relay → Command Center. OPC-UA and Modbus ready.
NetworkX ontology: Enterprise → Sector → Area → Machine → Fault. 503 nodes, 200 faults, blast-radius impact modeling.
FastAPI orchestrator classifies intent, routes to specialist agents: Fault Dx, Repair, Asset Search, EKG Builder, Vision.
Bring your own LLM — run in-house models, connect your enterprise Claude or Gemini license, or let us integrate with your existing AI stack. FAISS/ChromaDB for GraphRAG. Your data never leaves your infrastructure.
Based on a 200-asset deployment across Automotive, Aerospace, and Semiconductor sectors.
PAIOS is production-ready across six industrial sectors — each with its own machine ontology, fault taxonomy, and agent tuning.
Aerospace FAL, wing join, cabin integration
Compressors, pipelines, refinery assets
Rolling stock, traction systems, depot ops
Fab cleanroom, photolithography, deposition
Automotive, assembly, stamping, body-in-white
GMP compliance, batch manufacturing, QA
Each agent is trained for one task and orchestrated automatically. Activate with a click — or just ask.
Reads PDF manuals and auto-builds the knowledge graph — extracting fault codes, procedures, and part references into structured nodes.
Identifies faults from symptoms, images, or error codes using GraphRAG — reasoning over the full knowledge graph to find root cause and affected components.
Builds factory hierarchy dynamically from natural language prompts. Describe your factory in plain English — the agent constructs the ontology.
Connects to SharePoint and auto-pulls documents continuously — keeping the knowledge graph in sync with your latest maintenance documentation without manual uploads.
Generates step-by-step repair guidance with required tools, safety checks, and parts list — pulled directly from the knowledge graph for the specific fault and machine.
The orchestrator that plans, evaluates, and adapts across all agents — running multi-step reasoning chains for complex factory queries that span multiple domains.
PAIOS is built on open, production-proven standards — connector-ready for every major OT protocol and enterprise platform.
Every screenshot is from the live production application — real data, real assets, real results.
PAIOS is live, production-ready, and deploying now. Request a demo and we'll show you your factory's numbers — on your real asset data.
Every demo is tailored. We load your machine types, model your asset hierarchy, and show you what MTTR reduction looks like for your sector and scale.
PAIOS deploys on your infrastructure. No data leaves your plant.
Upload your robot manuals and describe your factory. Knowledge graph live within hours.
Every fault comes with blast radius mapping, a ranked remediation plan, and live parts status.
Start with one plant. Solutions compound across every factory you add to the network.