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ThingsBoard engineering services

Build a Production-Ready IoT Platform with ThingsBoard

ZedIoT customizes ThingsBoard for device onboarding, telemetry, dashboards, rule engines, tenant operations, business-system integration, and private deployment. The result is an operational platform shaped around your devices and service workflow, not a generic demo.

Explore the delivery scope
Device operations dashboard with telemetry, alarm status, commands, logs, and historical charts
Device operations referenceTelemetry online · rules active · alarms traceable
Open-source coreExtend the platform without giving up control of deployment and data.
Device-to-business scopeConnect field protocols, platform services, and enterprise systems.
Private deploymentPlan infrastructure, security, upgrades, backups, and observability.
Engineering handoffReceive acceptance criteria, documentation, and production support.
Business challenges we address

Move from a platform installation to a service your teams can operate

Flexibility, device operations, and enterprise integration are designed together so the platform remains usable after the first deployment.

Limited product flexibility

A standard ThingsBoard deployment often needs a clearer tenant model, branded workflows, custom widgets, and integrations before it can support a real product or operating team.

Fragmented device operations

Device status, alarms, attributes, commands, and support evidence become difficult to manage when gateways and protocols enter the platform through unrelated paths.

Integration complexity

Production systems must connect telemetry with rule chains, databases, business APIs, notifications, and access controls without creating a fragile collection of scripts.

ThingsBoard development scope

Choose the workstream that matches your current platform stage

Compare platform customization, device operations, and rule-engine integration, then focus the engagement on the path that removes the current bottleneck.

Shape ThingsBoard around the product and operating model

We extend the standard platform only where the customer journey, tenant model, workflow, or integration requires it.

  • Branded portals and custom dashboards
  • Tenant, customer, asset, and permission models
  • Custom widgets, reports, and operator workflows
  • Private cloud or on-premises deployment
Tenant and user modelDashboards and workflowsDevice and asset modelAPIs and integrationsThingsBoard platform core
Device-to-operations architecture

Keep protocol responsibility, platform logic, and business integration explicit

A clear data path makes failures diagnosable and lets teams change dashboards or business systems without rewriting every device.

Devices and controllers

Sensors, PLCs, meters, equipment controllers, and existing products.

Gateway and protocol layer

MQTT, HTTP, CoAP, Modbus, OPC UA, BLE, LoRaWAN, and custom adapters.

ThingsBoard services

Device registry, telemetry, attributes, alarms, rule chains, dashboards, and tenancy.

Business integration

ERP, MES, WMS, CRM, mobile apps, data pipelines, and notification channels.

Operations and insight

Role-based views, service workflows, reporting, predictive rules, and audit evidence.

Cross-discipline engineeringFrom device signal to an operator's next action
Web and mobile experiencePlatform, data, and integrationGateway and edge softwareFirmware, hardware, and field protocols
Skillsets in our IoT team

One team across devices, edge software, platform, web, and mobile

Cross-discipline coverage keeps device behavior, gateway software, platform services, and operator workflows aligned through one delivery backlog.

Hardware and connectivityPCB interfaces, gateways, MQTT, Modbus, OPC UA, BLE, LoRaWAN, cellular, and field diagnostics
Embedded and edgeLinux, RTOS, MCU firmware, device identity, buffering, command handling, OTA, and offline behavior
Cloud and dataThingsBoard, PostgreSQL, TimescaleDB, Redis, Kafka, REST APIs, event processing, and deployment automation
Web applicationsCustom widgets, branded portals, React or Vue interfaces, reporting, permissions, and responsive dashboards
Mobile applicationsiOS, Android, Flutter, onboarding, alarm acknowledgement, device control, and field service workflows
Security and operationsTenant boundaries, role models, certificates, TLS, backups, observability, release management, and private deployment
Industry-specific ThingsBoard services

Adapt the same platform foundation to different field and operating constraints

The device model, alarm workflow, deployment architecture, and user roles change by industry. We keep the platform core reusable while tailoring the parts that affect real operations.

Industrial IoT

Equipment status, production telemetry, energy, alarms, work orders, and maintenance evidence.

Logistics and assets

Gateways, trackers, location events, environmental conditions, and fleet operations.

Energy and utilities

Meters, consumption baselines, abnormal-use alerts, power quality, and multi-site reports.

Smart buildings

HVAC, lighting, access, occupancy, environmental monitoring, and service workflows.

Agriculture

Distributed sensors, irrigation controls, weather data, field gateways, and remote alarms.

Connected healthcare

Device connectivity, controlled data paths, alerts, role-based views, and deployment options.

Delivery process

Validate the data path before investing in a full platform rollout

The engagement can start with a focused ThingsBoard pilot, then move through integration, acceptance, and production operations with measurable checkpoints.

01

Platform fit review

Confirm device volume, telemetry rate, tenant model, integration systems, deployment constraints, and where ThingsBoard should remain standard.

02

Device and data model

Define device identity, attributes, telemetry, commands, alarms, gateway responsibility, and failure behavior before building dashboards.

03

Pilot and integration

Connect representative devices, validate rule chains and APIs, build priority dashboards, and test security and offline conditions.

04

Production rollout

Package deployment, migration, monitoring, backup, acceptance evidence, documentation, and operational handoff.

Platform fit

ThingsBoard is strongest when the open platform already covers most of the required core

Good fit

Device telemetry, dashboards, alarms, tenant operations, rule chains, and open deployment are central requirements.

Review first

Highly specialized workflow, unusual scale, regulated data, or deeply custom UX may justify a hybrid or custom platform architecture.

Related engineering paths

Connect ThingsBoard to the devices, gateways, and cloud services around it

IoT Platform Development

Compare ThingsBoard customization with a broader custom platform route.

Custom IoT Gateway

Normalize field protocols, buffer telemetry, and support local diagnostics.

Rapid Device-Cloud Integration

Validate provisioning, telemetry, commands, alarms, and cloud APIs.

AWS IoT Solution

Plan an AWS-native or hybrid cloud architecture for connected products.

FAQ

ThingsBoard development questions

Use these answers to decide whether the next step is a platform fit review, a pilot, or a production integration plan.

What can ZedIoT customize in ThingsBoard?

ZedIoT can customize device and asset models, tenant and permission structures, dashboards, widgets, rule chains, alarms, reports, APIs, business-system integrations, branded portals, mobile workflows, and private deployment operations.

Can ThingsBoard connect to Modbus, OPC UA, BLE, LoRaWAN, or existing equipment?

Yes, usually through a gateway or protocol adapter that normalizes field data before it enters ThingsBoard. The exact design depends on device interfaces, update rate, command behavior, offline requirements, and site connectivity.

Can ThingsBoard be deployed on premises or in a private cloud?

Yes. A private deployment can include container packaging, infrastructure sizing, database and queue services, certificates, backups, monitoring, upgrade planning, and recovery procedures.

When should we choose ThingsBoard instead of a fully custom IoT platform?

ThingsBoard is a strong fit when device telemetry, dashboards, alarms, tenancy, rule chains, and open deployment cover most core requirements. A hybrid or custom platform may be better when the workflow, scale, compliance, or user experience differs substantially from the platform model.

How should a ThingsBoard project start?

Start with a platform fit review and a representative pilot. Define the device model, telemetry, commands, alarm rules, user roles, integrations, deployment constraints, and measurable acceptance criteria before building the complete rollout.

Talk to ZedIoT

Planning a ThingsBoard platform or integration?

Share your device types, protocols, expected scale, current cloud systems, deployment preference, and the workflow your users need. We will help define a practical pilot and production path.

  • AI + IoT product architecture review
  • Hardware, firmware, cloud, and application integration
  • Prototype planning and production support