Capabilities

Engineering from Devices to Digital Intelligence

RashedForge works across embedded systems, industrial connectivity, edge infrastructure, cloud platforms and applied intelligence — allowing each layer to be designed with the complete system in mind.

01

Embedded & Edge Systems

Reliable software and intelligence at the device boundary — where physical equipment meets digital control.

Firmware

  • Embedded C / C++
  • Real-time systems
  • Device drivers

Edge Runtime

  • FreeRTOS-style architecture
  • Local control logic
  • Edge processing

Lifecycle

  • Configuration
  • Secure firmware updates
  • OTA lifecycle
  • Device health monitoring
DeviceFirmwareHealthOTA

02

Industrial Connectivity & Protocol Integration

Interoperability between legacy industrial systems and modern connected architectures.

Field Protocols

  • RS485
  • Modbus RTU / TCP
  • BACnet/IP

Connected Transport

  • MQTT
  • LoRaWAN
  • TCP/IP
  • REST APIs

Integration Work

  • Gateway integration
  • Protocol translation
  • Telemetry normalization
EquipmentProtocol BridgeNormalized TelemetryAPI / MQTT

03

Industrial IoT Systems

Field-to-cloud architectures for connected equipment, telemetry and remote operations — designed as engineering systems, not generic SaaS packaging.

Field Layer

  • Gateways
  • Telemetry
  • Device connectivity

Operations

  • Remote equipment monitoring
  • Alarms / rules
  • Remote diagnostics

Platform Concepts

  • Device registry concepts
  • Configuration
  • Fleet health
  • Field-to-cloud architecture
GatewayTelemetryRulesOperations

04

Automation & Energy Systems

Operational visibility and integration across monitoring, metering, HVAC/building systems and industrial controls.

Monitoring

  • Industrial monitoring
  • Energy metering
  • Operational dashboards

Analysis

  • Three-phase electrical analysis
  • Load visibility
  • Power-quality insights

Integration

  • Building / HVAC integration
  • Control system integration
  • BACnet integration
  • Data-driven optimization
MeterControlBACnetDashboard

05

Cloud, Backend & Infrastructure

Vendor-neutral infrastructure for moving, storing and exposing operational data securely.

Infrastructure

  • Linux
  • Containers
  • Docker
  • Deployment architecture

Data Services

  • MQTT infrastructure
  • APIs
  • Databases
  • Time-series data

Operations

  • Observability
  • Dashboards
  • Authentication
  • Backup / recovery concepts
LinuxMQTTDatabaseAPI

06

AI, Analytics & Intelligent Workflows

AI is applied where operational data already exists — as decision support for engineering and operations, not a replacement for engineering judgment.

Analytics

  • Operational analytics
  • Anomaly interpretation
  • Intelligent alert handling

Knowledge

  • Engineering assistance
  • RAG / knowledge systems
  • Decision-support tools

Workflow

  • AI-assisted workflows
  • Automated reporting
DataContextDecision SupportWorkflow

Lifecycle

Engineering Lifecycle

Connected systems need more than a prototype. RashedForge plans for validation, deployment and ongoing improvement.

  1. Architecture
  2. Prototype
  3. Integration
  4. Validation
  5. Deployment
  6. Monitoring
  7. Maintenance
  8. Improvement
  • Requirements analysis
  • Implementation
  • Testing
  • Field validation
  • Documentation
  • Troubleshooting
  • Lifecycle updates

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