Connect devices to the systems that use their data.
Connected product and operations solutions linking sensors and devices to applications, data, and business workflows.
Connected devices create data that needs somewhere to go.
Hardware is only half the solution; the software and data pipeline determine the value.
- 01
Devices are isolated
Data stays on the device or in a vendor app.
- 02
Data is not actionable
Raw readings do not reach the people who need them.
- 03
Scale adds complexity
Managing many devices needs tooling.
- 04
Reliability is critical
Connectivity gaps affect data quality.
A defined data path turns device readings into usable information.
IoT work we can deliver.
- 01
Device connectivity
Connecting devices to cloud platforms and applications.
- 02
Data ingestion and storage
Collecting and storing device data reliably.
- 03
Dashboards
Visualizing readings and device status.
- 04
Alerts and rules
Notifying people when thresholds are crossed.
- 05
Device management
Monitoring and updating connected devices.
- 06
Integration
Feeding device data into business systems.
How ioT Solutions is delivered.
Six stages from first conversation to ongoing improvement, each mapped to the RightBPO Build · Operate · Automate · Grow framework.
Test. Test with real devices in realistic conditions.
Build- 01
Discover
BuildDefine the decisions, devices, and constraints.
- 02
Design
BuildSpecify connectivity, data model, and dashboards.
- 03
Build
BuildDevelop the data pipeline and applications.
- 04
Test
BuildTest with real devices in realistic conditions.
- 05
Deploy
OperateRoll out with monitoring.
- 06
Operate
GrowMaintain and extend the solution.
The technology should fit the problem.
Connectivity, hardware interfaces and platform are confirmed per project after discovery.
Devices
- Sensors
- Gateways
- Firmware interfaces
Connectivity
- Protocols chosen per device
- Gateways
- Network options
Platform
- Data storage
- Rules
- APIs
Applications
- Dashboards
- Alerts
- Reports
We start with the workflow, not the code.
IoT only pays off when the data is used. We start with the decision the data should support.
- 01Start with the decision.
- 02Prove it with a pilot.
- 03Plan for lost connectivity.
- 04Define who owns the data.
- 05Test on real devices.
- 06Treat device security as a requirement.
The value is in what happens after the reading.
Device data becomes useful when it triggers something: an alert, a report, a work order. We define those actions before building the pipeline. What is supported depends on the devices and systems involved.
- 01Identify
- 02Simplify
- 03Connect
- 04Automate
- 05Optimize
- Threshold alerts
- Status dashboards
- Scheduled reports
- Maintenance notifications
- Business-system updates
- Device health checks
Who has devices producing data.
Manufacturers
Monitoring equipment and processes.
Logistics businesses
Tracking assets and conditions.
Product companies
Adding connectivity to products.
Facilities teams
Monitoring environments.
Choose between a feasibility study, a pilot or a full solution.
- 01
Feasibility Study
Assess use case and approach.
- 02
Pilot
Prove the solution on a small scale.
- 03
Full Solution
Build and roll out the solution.
- 04
Managed IoT
Ongoing monitoring and support.
Software is more than a launch.
Build.
Define the use case, then build the data pipeline and applications.
Operate.
Monitor devices and data flow after rollout.
Automate.
Trigger alerts and updates in other systems from device data.
Grow.
Extend to more devices or sites once a pilot proves out.
More than code.
What’s included depends on project scope. A typical engagement can cover some or all of the following.
Discovery
- Use case definition
- Architecture
Build
- Data pipeline
- Dashboards
Testing
- Device tests
- Failure scenarios
Operation
- Monitoring
- Documentation
Frequently asked questions.
We focus on software and integration. Hardware selection is discussed during design.
Protocols are chosen per project based on the devices and platform. We confirm what is feasible during discovery rather than listing supported protocols in advance.
Often, depending on their interfaces.
Security requirements are defined during design.
Yes, and we recommend it.
The devices or sensors involved, the data they produce, the decision the data should support, and where it should be shown.