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ZYNAPTRIX

Enterprise AI · Predictive Maintenance

Industrial Copilot Platform

An enterprise agentic AI platform that converts raw machine telemetry into safe, explainable, step-by-step repair procedures in under seven seconds.

Peer-reviewed · IEEE IRAI 2026
Request Enterprise Pilot Read Research Paper

90.15%

Detection precision

3.35%

False positive rate

vs. 12-15% for SCADA

6.8 s

Fault-to-procedure

300×

Faster than manual diagnosis

Enterprise Problem

Why this matters.

Industrial manufacturing operates under legacy SCADA systems and fragmented IoT data. Rule-based thresholding misses complex cross-sensor anomalies and leaves technicians searching physical manuals for 30-60 minutes per incident. Industrial Copilot integrates real-time telemetry, multi-agent reasoning, safety validation, and enterprise knowledge graph into a unified platform.

  • Unplanned downtime costs manufacturers USD 100,000-300,000 per operational hour.
  • Rule-based SCADA thresholding runs at 12-15% false-positive rates, causing severe alert fatigue.
  • Legacy monitoring identifies that a fault exists, but lacks root-cause explanation or action steps.
  • Fragmented data silos prevent institutional repair knowledge from propagating across factory floors.

System Architecture

Execution Pipeline.

  1. 01

    Sense

    Multi-sensor telemetry per asset (current, temperature, RPM, vibration) streamed over WebSockets and MQTT into real-time time-series stores.

  2. 02

    Detect

    Dense & LSTM autoencoders combined with a physics-aware hybrid confidence score that filters out sensor glitches before LLM orchestration.

  3. 03

    Reason

    A six-node multi-agent LangGraph pipeline analyzes, validates, and classifies the fault while retrieving grounded knowledge from manuals.

  4. 04

    Advise

    A Safety Critic checks procedure compliance for Lockout/Tagout and safety standards, providing audited remediation steps.

  5. 05

    Learn

    Operator-approved fixes pass through quality gates into vector memory, continuously expanding enterprise operational intelligence.

Capabilities

Platform Features.

Multimodal RAG Engine

YOLOv8 layout parsing, vision captioning, and vector embedding convert complex engineering schematics into queryable knowledge in pgvector.

Six-Node Multi-Agent Engine

Sensor Analyst, AI Validation Engineer, Diagnostic Classifier, Knowledge Retriever, Execution Strategist, and Safety Critic execute over an immutable event log.

Physics-Aware Telemetry Guardrails

Combines model reconstruction error with manufacturer operational envelopes, temporal trendlines, and signal noise suppression.

Enterprise Institutional Memory

Field-verified repairs automatically index into organization-wide memory so previous fixes immediately inform new incidents.

Guided Diagnostic Portal

Step-by-step interactive technician guidance with inline schematic references and automated PDF maintenance auditing.

Cost & Compute Optimization

Low-confidence anomalous spikes are filtered out early, ensuring zero waste on non-actionable telemetry noise.

Tech Stack

  • LangGraph
  • GPT-4o
  • PostgreSQL + pgvector
  • InfluxDB
  • TensorFlow
  • YOLOv8 · Mobile SAM
  • FastAPI
  • Next.js
  • Docker / K8s

Operational Limits

Telemetry parameterised from field-recorded specifications at an industrial tea manufacturing facility. Validated on production benchmarks.

Interested in Industrial Copilot Platform?

Contact our enterprise team to discuss custom integrations, pilots, and architecture reviews.

Start a conversationzynaptrix.team@gmail.com