IoT application development for connected operations.
We build secure, real-time IoT platforms for device connectivity, telemetry pipelines, remote monitoring, automation workflows, and industrial intelligence.
JarvisBitz · Telemetry fabric
Live telemetry mesh
Distributed field nodes stream through edge intelligence into cloud ingest with adaptive routing and pulse-aware flow.
IoT application architecture
From edge devices to cloud analytics, every IoT system we build is designed for reliability, observability, and real-world scale.
- 01
Devices & Sensors
Physical devices capture telemetry, events, and operational signals.
- 02
Edge Gateway
Protocol translation, local buffering, and edge processing.
- 03
Connectivity Layer
MQTT, HTTP, WebSocket, BLE, or LPWAN communication.
- 04
Ingestion & Stream Processing
Event ingestion, routing, transformation, and rule execution.
- 05
Data & Analytics
Time-series storage, dashboards, alerts, and reporting.
- 06
Control & Automation
Remote commands, workflows, automation, and integrations.
Devices & Sensors
Devices and embedded sensors continuously capture operational data such as temperature, location, vibration, power usage, machine state, or environmental conditions. Systems are designed to tolerate intermittent connectivity and device variability across fleets.
- MQTT
- BLE
- Modbus
- OPC-UA
- Sensor SDKs
Edge Gateway
Edge gateways normalize heterogeneous device protocols, buffer events during outages, and run filtering or aggregation before the cloud sees traffic - reducing bandwidth cost and improving resilience when links are unstable.
- Edge OS
- Local Rules
- Store & Forward
- OTA
Connectivity Layer
Transport is chosen per device class: MQTT for pub/sub telemetry, HTTP for pull-friendly endpoints, WebSockets for live dashboards, BLE for proximity devices, and LPWAN where power and range dominate.
- MQTT
- HTTP
- WebSocket
- BLE
- LoRaWAN
Ingestion & Stream Processing
High-throughput ingestion pipelines validate, enrich, and route events to the right consumers. Stream processors evaluate rules in near real time - triggering alerts, automations, or downstream analytics without batch delay.
- Kafka
- Rules Engine
- Transforms
- Routing
Data & Analytics
Time-series databases retain high-cardinality telemetry at scale. Dashboards surface fleet health, anomaly trends, and SLA views. Scheduled reports and ad-hoc queries support operations and compliance evidence.
- Time-Series DB
- Dashboards
- Alerts
- Reporting
Control & Automation
Bidirectional control paths issue remote commands with authorization and audit trails. Workflow engines chain device signals into enterprise actions - tickets, ERP events, notifications, and third-party integrations.
- Commands
- Workflows
- Webhooks
- ERP APIs
Key metrics we target
Every IoT platform we deliver is engineered for reliability across devices, networks, and cloud infrastructure.
Telemetry Ingestion
Near real-time event processing for operational visibility
Device Uptime Visibility
Monitoring across distributed device fleets
Connected Devices
Architectures designed for fleet-scale growth
Alerting Coverage
Continuous monitoring, thresholding, and escalation
What we build
From connected products to industrial monitoring platforms, every IoT solution is built for secure data flow and operational control.
Remote Monitoring Platforms
Dashboards for live telemetry, asset health, threshold alerts, anomaly tracking, and historical analytics across connected equipment and distributed sites.
Industrial IoT Systems
Factory, warehouse, and plant-floor solutions with PLC integration, machine telemetry, predictive maintenance signals, and supervisory dashboards.
Smart Asset Tracking
GPS, BLE, RFID, and sensor-enabled tracking systems for vehicles, equipment, inventory, and field assets with geofencing and event triggers.
Connected Consumer Products
Mobile and web-connected smart devices with onboarding, provisioning, firmware coordination, user controls, and usage analytics.
Predictive Maintenance Platforms
Condition monitoring systems that detect degradation patterns in machines and trigger maintenance workflows before failures occur.
Automation & Control Systems
Rule-driven workflows that convert device signals into actions, notifications, escalations, and integration events across enterprise systems.
Technology stack
Reliable IoT systems require the right combination of embedded protocols, cloud ingestion, storage, and operational tooling.
Connectivity
Backend
Data
Cloud & IoT
Frontend
Observability
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Tell us about your devices, telemetry needs, and operational goals - we'll define the architecture, stack, and rollout plan.