Aperture AIoT Core Platform | AI + IoT for Industrial Intelligence
AIoT Core Platform

AI + IoT for
Industrial
Intelligence

The Aperture AIoT Core Platform turns operational data into real-time insights and predictive intelligence — enabling smarter, more efficient, and proactive industrial operations.

8
Core Platform Modules
50+
AI-Driven Systems
14
Case Studies Deployed
30+
Compliance Standards

AIoT platform delivering real-time
insights and intelligence

The Aperture AIoT Core Platform is a modular system designed to convert physical operations into measurable, intelligent, and continuously improving systems. It captures signals from assets, people, environments, and infrastructure — then applies artificial intelligence to transform those signals into structured insights and predictive outcomes.

From raw signal to decisive action

A structured four-stage flow converts physical signals into actionable intelligence and operational outcomes.

01
Data Capture
Sensors, RFID tags, BLE beacons, gateways, and connected systems continuously collect data from physical environments.
  • RFID asset identity & movement
  • BLE & UWB location awareness
  • Environmental sensors (temp, humidity)
  • Machine & industrial interfaces
02
Data Integration
Captured data is aggregated and standardized across systems, facilities, and workflows into a unified data model.
  • Normalization across devices & protocols
  • ERP, WMS, MES integration
  • Cross-site data consolidation
  • Contextual asset & workflow mapping
03
AI Intelligence Layer
Machine learning models analyze patterns within data to generate insights that go beyond simple monitoring.
  • Anomaly & deviation detection
  • Equipment failure prediction
  • Resource allocation optimization
  • Safety & compliance behavioral analysis
04
Action & Automation
Insights are delivered through interfaces and systems that support real-time decision-making and automated responses.
  • Operational visibility dashboards
  • Critical event & risk alerts
  • Automated maintenance workflows
  • API integration for extended automation

What the platform delivers

A wide range of capabilities addressing core operational challenges across industries.

📡
Real-Time Visibility
Live awareness across assets, inventory, personnel, and environmental conditions — across your entire operation.
🔮
Predictive Analytics
Maintenance forecasting, demand planning, and operational predictions before issues become incidents.
AI-Driven Optimization
Dynamic workflows, resource allocation, and facility utilization tuned continuously by machine learning.
🔗
Cross-System Intelligence
Connects data from multiple sources — ERP, MES, WMS, sensors — into a single unified operational view.
📊
Decision Support
Actionable insights delivered to operational and executive teams with context, trends, and recommended actions.
🌐
Scalable Deployment
Single-site pilots to global multi-facility rollouts. Continuous learning models improve accuracy over time.

Eight interoperable intelligence modules

Each module addresses a specific operational domain while contributing to a shared intelligence layer — adopt incrementally or deploy as an integrated system.

Module 01
Asset Tracking & Visibility
Monitor location, status, and utilization of equipment and materials across facilities.
Module 02
Inventory & Operations
Analyze stock levels, movement patterns, and workflow efficiency with AI-driven forecasting.
Module 03
People Tracking & Safety
Real-time awareness of workforce location and behavioral patterns for proactive safety.
Module 04
Access Control & Security
Manage identity, permissions, and facility access with intelligent verification.
Module 05
Work-in-Progress Intelligence
Track production flow, identify bottlenecks, and optimize manufacturing workflows in real time.
Module 06
Specimen Tracking
Accurate tracking, chain-of-custody visibility, and compliance across specimen lifecycles.
Module 07
Traceability
End-to-end product tracking, supply chain visibility, and compliance across operations.
Module 08
Cold Chain Intelligence
Monitor temperature conditions, predict risks, and ensure compliance across cold supply chains.
AI
Core
📈Insights
⚙️Operations
📡Data
🤖Models

A self-reinforcing intelligence loop

  • 01 →
    Data improves model accuracy

    More operational data continuously refines machine learning models deployed across the platform.

  • 02 →
    Models generate better insights

    Refined models detect subtler patterns and deliver more precise predictive outcomes.

  • 03 →
    Insights drive operational improvements

    Teams act on better intelligence — reducing downtime, waste, and compliance risk.

  • 04 →
    Improved operations generate higher-quality data

    Better processes produce cleaner, more structured data — feeding the loop back to step one.

Built for physical-world operations

The platform applies across multiple industries where physical operations generate high volumes of actionable data.

🏭
Manufacturing
Asset tracking, workflow optimization, and predictive maintenance for production environments that can't afford downtime or misplaced equipment.
🏥
Healthcare
Accurate tracking, regulatory compliance, and environmental monitoring for hospitals and clinical facilities where precision is non-negotiable.
📦
Logistics & Supply Chain
Real-time inventory visibility, traceability, and cold chain monitoring across warehouses, distribution centers, and last-mile operations.
Energy & Infrastructure
Continuous monitoring of distributed assets and environmental conditions in energy, utilities, and industrial infrastructure sectors.

Proven results, real deployments

Real-world implementations across manufacturing, healthcare, logistics, and infrastructure — with measurable outcomes.

📍 Chicago, IL — Manufacturing
Manufacturing Asset Visibility
+22%Asset utilization improvement

RFID + BLE tracking integrated with machine data enabled real-time asset monitoring. Idle time reduced by 18% and maintenance became predictive.

📍 Houston, TX — Healthcare
Hospital Equipment Tracking
−35%Equipment search time

BLE + RFID tracking integrated with clinical workflows. Unnecessary procurement dropped by 12%, freeing budget for patient care.

📍 Los Angeles, CA — Logistics
Warehouse Optimization
98%Order accuracy achieved

RFID tracking and AI analytics mapped inventory flows and eliminated bottlenecks. Picking time decreased by 20%.

📍 New York City, NY — Construction
Construction Site Safety
−27%Safety incidents

Wearable BLE devices with geofencing alerts provided real-time worker location visibility and compliance monitoring.

📍 Atlanta, GA — Cold Chain
Cold Chain Monitoring
−40%Temperature excursions

IoT sensors with predictive analytics monitored temperature and humidity, ensuring regulatory compliance for a major distribution center.

📍 Denver, CO — Energy
Energy Infrastructure Monitoring
−25%Equipment downtime

IoT sensors integrated with predictive maintenance models at an energy facility, with edge processing enabling faster response to critical events.

📍 Toronto, ON — Healthcare
Healthcare Asset Tracking
+20%Equipment utilization

RFID and BLE tracking integrated with compliance systems, with regulatory alignment built directly into the system architecture.

📍 Vancouver, BC — Logistics
Warehouse Automation
+23%Operational efficiency

RFID tracking and AI-driven optimization aligned with workforce processes. Automation improved inventory workflows across the facility.

📍 Calgary, AB — Energy
Energy Asset Monitoring
−17%Maintenance costs

IoT sensors with predictive analytics deployed across distributed infrastructure. Data quality directly correlated with predictive accuracy gains.

📍 Montreal, QC — Construction
Construction Safety Monitoring
+26%Safety compliance

People tracking system with location awareness and alerts. Ease of use was central to successful worker adoption on site.

📍 Winnipeg, MB — Logistics
Cold Chain Logistics
−19%Product loss reduction

Cold chain monitoring with IoT sensors and analytics. Predictive alerts calibrated carefully to minimize false positives across the network.

Operating in ecosystems with world leaders

General Electric
Siemens
Honeywell
Schneider Electric
Cisco Systems
Intel
Oracle
SAP
Rockwell Automation
Johnson Controls
ABB
Emerson Electric
Microsoft
Google Cloud
Zebra Technologies
Impinj

Built to meet the toughest standards

The platform aligns with applicable U.S. and Canadian standards across cybersecurity, safety, operations, and environmental regulations.

ISO/IEC 27001
ISO/IEC 27017
ISO/IEC 27018
ISO 22301
ISO 55000
ISO 9001
ISO 14001
ISO/IEC 30141
NIST CSF
NIST SP 800-53
NIST SP 800-82
NIST SP 800-183
FCC Part 15
OSHA 29 CFR 1910
OSHA 29 CFR 1926
FDA 21 CFR Pt.11
EPA Clean Air Act
EPA Clean Water Act
NFPA 70
NFPA 72
UL 2900 Series
ANSI/ISA-95
IEC 62443
SOC 2
PIPEDA
CSA C22.1
CSA Z1000
CSA Z432
CSA Z246.1
Health Canada MDR
Transport Canada TDG

Ready to transform your
operational data?

Connect with our team to explore how the Aperture AIoT Core Platform applies to your industry, operations, and goals.

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