No Live Asset Visibility
Teams depend on calls or manual reports to know asset status. IoT telemetry shows status, movement and conditions in near real time.
ENIGMA engineers IoT and connected operations systems where sensors, devices, machines, gateways, field assets and locations send live signals into dashboards, alerts, workflows, CRM, ERP and operational automation.
Device Layer
Sensors, machines, assets, meters, cameras, GPS devices and field hardware.
Gateway Layer
MQTT, HTTP, edge processing, offline buffering, protocol conversion and sync recovery.
Operations Layer
Dashboards, alerts, service tickets, automations, analytics and management control.
Temperature, GPS, pressure, power, usage, asset and field readings.
Devices send readings through gateway, MQTT, HTTP or vendor APIs.
Readings are validated, stored, routed and converted into events.
Teams see status, downtime, anomalies and automated work orders.
Edge Gateway
Many operational problems happen because teams only know what happened after a manual update. IoT systems create live visibility from the field, site, machine, device or asset itself.
Teams depend on calls or manual reports to know asset status. IoT telemetry shows status, movement and conditions in near real time.
Machine or device issues are discovered late. Threshold alerts can notify teams when readings cross safe limits.
Field teams collect data but systems remain separate. Connected operations link field signals with CRM, ERP, service and reporting workflows.
Manual readings are slow and error-prone. Connected devices can push structured telemetry into dashboards and history.
Devices may go offline or lose connectivity. Gateway buffering, heartbeat monitoring and sync recovery improve reliability.
Sensor data is useful only when action follows. IoT events can trigger tickets, notifications, approvals and maintenance workflows.
IoT is not only hardware. It needs device identity, data ingestion, gateway reliability, live monitoring, alert rules and business-system integration.
Readings from machines, locations, meters, devices or field assets become structured telemetry.
Gateways buffer, transform, secure and route device signals into backend systems.
Thresholds, anomalies and device failures trigger alerts, tasks and escalations.
Managers see asset status, history, exceptions and connected workflow outcomes.
ENIGMA designs IoT systems around the physical signal, connectivity reality, operational risk and business action needed after the signal is received.
Devices & Sensors
ENIGMA maps sensors, machines, GPS units, smart meters, cameras, field devices and gateway hardware into a usable operating architecture.
Gateway & Edge Layer
Gateways and edge services help collect, buffer, transform and forward device data when connectivity, protocol conversion or local processing is required.
Telemetry Pipeline
IoT telemetry pipelines receive readings, validate payloads, route events, store history and push live updates into dashboards and operational systems.
Remote Monitoring
Connected operations dashboards show device health, asset location, sensor readings, usage trends, downtime, exceptions and operating status for managers and teams.
Alerts & Automation
IoT events can trigger alerts, service tickets, maintenance tasks, inventory actions, field assignments, approval flows and customer or team notifications.
Reliability & Security
IoT systems need device security, data validation, access control, audit logs, failure handling, firmware or vendor-change planning and long-term monitoring.
The right IoT architecture depends on device type, connectivity, data volume, latency, offline behavior, dashboard needs and how critical the operational action is.
1. Capture
Sensors, machines, meters, GPS, cameras and field devices
2. Connect
Gateway, MQTT, HTTP, APIs, edge processing and buffering
3. Process
Telemetry validation, event routing, storage and analytics
4. Act
Dashboards, alerts, tickets, automations and system updates
The deliverable includes device mapping, telemetry architecture, gateway or API integration, dashboards, alerts, data storage, monitoring and operational handover.
Discovery
Devices, sensors, assets, locations, readings, connectivity and business action mapping.
Architecture
Gateway, MQTT/API, telemetry pipeline, storage, dashboards and alert architecture.
Engineering
Device ingestion, dashboards, alerts, workflows, integrations and automation logic.
Operations
Heartbeat monitoring, logs, failure handling, device-status visibility and support documentation.
Identify assets, devices, signals, users, decisions and operational risk.
Map sensors, gateways, connectivity, protocols and vendor API constraints.
Define payloads, event names, validation, storage and routing rules.
Create asset views, status screens, alert panels and management reports.
Connect IoT events with CRM, ERP, service, notifications and workflows.
Launch with heartbeat, logs, offline detection, alerts and handover support.
We start with the physical signal and operational decision before selecting the technology. The result is an IoT system that moves real-world data into business action.