When the Standard Product Is Not Enough, Engineer the Right Solution.
Rekacipta develops custom IoT, edge, data-integration and analytics solutions for operational problems that require more than an off-the-shelf configuration — from proof of concept and field-data acquisition to custom dashboards, analytical workflows and project-specific Siteplore integration.
Not every monitoring problem fits neatly inside a standard product specification.
Standardization is valuable because it reduces complexity. But some operational problems involve unusual sensors, legacy equipment, special workflows, unique analytics or integration constraints that require an engineered solution. Custom development should be used where it creates meaningful operational value — not simply because customization is possible.
Non-Standard Instrumentation
The required sensor or instrument does not fit an existing standard edge configuration.
Legacy Equipment
Important assets contain useful data but were never designed for modern remote monitoring.
Unique Operational Workflow
The customer needs information, calculations or escalation logic that standard dashboards do not provide.
Multiple Data Sources
The required insight depends on field sensors, existing systems, databases and external information together.
New Product Concept
An organization has an industrial IoT or monitoring concept that requires prototype development before commercialization or deployment.
Analytics Beyond Standard Reporting
The problem requires custom calculations, correlation, anomaly logic or application-specific analytical workflows.
Engineer from the physical measurement through to the analytical output.
Custom IoT Architecture
Design project-specific sensing, edge and connectivity architecture.
Edge Device Development
Develop or configure edge functionality where standard hardware does not fully fit.
Sensor Integration
Integrate compatible digital, analog or network-connected instrumentation.
Data Integration
Connect selected Siteplore data with compatible external systems or applications.
Custom Analytics
Develop project-specific calculations, trends, comparison logic and analytical workflows.
Prototype Development
Develop and validate a focused proof of concept before wider investment.
Custom development should solve a real gap — not recreate a capability that already exists.
Rekacipta’s preferred approach is to reuse proven Siteplore products and components where practical. Custom engineering is added only where the operational requirement cannot be addressed efficiently through configuration.
Configure
Use an existing Siteplore product when the required measurement, connectivity and workflow are already supported.
Extend
Start with RekaSense, PowerWatch or MachineGuard and add only the integration or analytics required.
Develop
Create a dedicated prototype where no reasonable standard configuration can solve the operational problem.
Develop around the operational problem — not around one technology.
Operational Need
Define what needs to become visible or understandable.
Data Sources
Sensors, meters, machines or existing systems.
Edge & Integration
Project-specific acquisition, interface and transport.
Siteplore & Analytics
Historical data, calculations and analytical workflows.
Operational Use
Confirm whether the solution improves the intended decision.
Build the field-data layer around the measurement that actually matters.
Custom IoT development can cover selected sensing, field interfaces, edge acquisition, enclosure, power and connectivity requirements. Final architecture depends on the deployment environment and technical requirements.
Sensor Integration
Connect application-specific sensors and instrumentation where suitable interfaces are available.
Edge Acquisition
Develop or configure acquisition logic for the selected monitoring requirement.
Interface Modules
Use suitable digital, analog or signal-conversion interfaces where required.
Connectivity
Define wired, cellular or other appropriate communication paths.
Power Architecture
Evaluate field power, conversion and supply requirements.
Enclosure Integration
Define enclosure and physical integration appropriate to the environment.
Device Logic
Develop project-specific data acquisition or communication behavior.
Prototype Validation
Evaluate device behavior against the intended field use case.
Analytics should answer an operational question — not simply generate another score.
Rekacipta can develop project-specific analytics where standard Siteplore trends and dashboards are not enough. The analytical method should match the quality, history and meaning of the available data.
Custom development is valuable when a specific operational problem justifies it.
Legacy Equipment Retrofit
Add selected sensing and edge monitoring to equipment with limited native digital connectivity.
→ Custom Sensor / Interface
→ Siteplore
Custom Multi-Utility Monitoring
Combine electrical, water, compressed air or other selected utility measurements.
→ Integration Layer
→ Utility Analytics
Automated Farm Monitoring
Develop a project-specific sensing and monitoring architecture around crop, water and environment.
→ Custom Edge
→ Siteplore Monitoring
Remote Water Intelligence
Combine water-quality, level, pumping and energy information for distributed monitoring.
→ Custom Integration
→ Siteplore
Custom Equipment Analytics
Develop asset-specific analytical logic using condition and operating data.
+ Operating Context
→ Custom Analytics
Industrial IoT Product Prototype
Turn an internal monitoring or engineering concept into a testable prototype.
→ Prototype
→ Field Validation
Reduce uncertainty before committing to full deployment.
New IoT and analytics concepts contain technical and operational assumptions. A focused prototype allows the most important assumptions to be tested before the project is scaled.
Define
Identify the operational problem and success criteria.
Design
Select the minimum architecture required to test the concept.
Build
Develop the focused prototype or analytical workflow.
Validate
Test using representative field or operational data.
Decide
Improve, scale, redesign or stop based on evidence.
Custom development should produce a usable technical outcome — not just source code.
Final deliverables vary by project, development stage and agreed scope.
Requirements Definition
Defined operational problem, scope and technical requirements.
Solution Architecture
Defined relationship between measurements, edge, connectivity, data and analytical components.
Prototype Hardware / Configuration
Project-specific device, integration or edge configuration where included in scope.
Software / Integration Logic
Required data-acquisition, transformation or integration logic according to project scope.
Siteplore Monitoring Views
Project-specific dashboards, trends or analytical displays where included.
Analytical Logic
Documented calculations, rules or models developed for the agreed use case.
Validation Findings
Results from agreed prototype or analytical validation activities.
Next-Stage Recommendation
Recommendations for improvement, production engineering or scale-up based on the validation results.
Custom development can extend an existing product instead of rebuilding the entire monitoring stack.
RekaSense
Extend field sensing, edge integration or application-specific monitoring around RekaSense.
Explore RekaSense →PowerWatch
Add application-specific energy calculations, context or integration around PowerWatch data.
Explore PowerWatch →MachineGuard
Extend selected condition-monitoring workflows with operational context or custom analytical logic.
Explore MachineGuard →Start with the problem and constraints — not a list of technologies.
Custom engineering should reduce operational uncertainty — not add technical complexity.
Fit-for-Purpose Solution
Address monitoring requirements that standard configurations cannot fully solve.
Faster Concept Validation
Test the most important technical assumptions before scaling.
Better Use of Existing Assets
Integrate useful existing devices and data where practical.
Operational Data Visibility
Convert previously inaccessible information into usable monitoring data.
Application-Specific Analytics
Build calculations and analytical workflows around the actual problem.
Evidence Before Scale-Up
Make wider investment decisions based on prototype and pilot evidence.
Start with the development stage that matches your current idea.
Custom-project scope and commercial terms depend on technical complexity, required hardware, data availability, external integrations, field activities, validation requirements and the maturity of the existing concept.
Solution Discovery
For customer problems that require technical exploration before a development scope can be defined.
- Problem definition
- Technical feasibility review
- Existing-system assessment
- Concept architecture
- Development recommendation
Prototype / Paid Pilot
For concepts ready to be tested against representative field or operational conditions.
- Focused hardware / integration scope
- Prototype development
- Siteplore monitoring
- Data / analytics validation
- Scale-up decision basis
Custom Development Project
For approved concepts requiring dedicated engineering, integration and implementation.
- Detailed solution architecture
- Custom IoT / integration development
- Custom analytics where required
- System integration
- Validation & handover
A successful prototype is not automatically a production-certified industrial product.
Prototype development is intended to validate technical and operational assumptions. Production deployment may require additional engineering, industrialization, environmental qualification, cybersecurity, certification or safety review depending on the application.
| Capability | Custom Development | Important Boundary |
|---|---|---|
| Custom sensor integration | Where technically compatible | Interface verification required |
| Custom edge prototype | Yes, where scoped | Production design may require further engineering |
| Custom dashboards & calculations | Where defined | Depends on available data |
| Custom statistical analytics | Where justified | Data quality and validation required |
| Machine-learning model | Potentially | Requires sufficient suitable data |
| Guaranteed model accuracy | No | Performance must be validated for each use case |
| Safety-critical control | Not standard scope | Dedicated safety engineering required |
| Machinery protection | No standard replacement | Dedicated protection system required |
| Hazardous-area deployment | Not assumed | Certified equipment and engineering review required |
| Production certification | Not implied by prototype | Certification scope must be defined separately |
Custom IoT & Analytics Development FAQ
When should we choose custom development instead of RekaSense?
RekaSense should normally be considered first for compatible multi-sensor field monitoring. Custom development becomes relevant when the required interface, device behavior, workflow or analytics cannot be addressed efficiently through the standard configuration.
Can you develop a new IoT device from scratch?
A custom device or prototype can be considered where the operational requirement justifies it. The scope should distinguish prototype development from production industrialization and certification.
Can existing sensors be reused?
Potentially yes. Existing sensors should first be evaluated for measurement suitability, signal type, protocol, available data and installation condition.
Can you integrate 4–20 mA instruments?
Potentially yes through suitable analog-input or signal-conversion hardware. Compatibility and isolation requirements should be defined during engineering.
Can custom software communicate through MQTT?
MQTT can be part of a custom architecture where supported by the selected device, platform configuration and project requirements.
Can Siteplore connect to external APIs?
API integration can be considered where the external application provides a suitable interface and the integration is technically and operationally appropriate.
Can you build a custom dashboard?
Yes, project-specific monitoring views and analytical presentations can be developed around the agreed data and operational workflow.
Can you develop custom analytics?
Yes. Calculations, rules, comparisons, statistical analysis and other analytical methods can be considered where the data and use case justify them.
Can you build AI or machine-learning models?
Potentially yes. The project first needs sufficient relevant historical data, a clearly defined prediction or classification problem and an appropriate validation method.
Can AI be developed from only a few days of data?
Usually the required history depends on the operating cycles, variability, number of relevant examples and analytical objective. A meaningful model should not be promised before the available dataset is assessed.
Can custom development control equipment automatically?
The standard Siteplore custom-development service is focused on monitoring, integration and analytics. Automatic control requires separate control engineering, interlocks, risk analysis and validation appropriate to the application.
Can you develop a commercial product for our company?
Prototype and engineering-development work can support product development. Commercial production introduces additional requirements such as manufacturability, supply chain, enclosure design, testing, certification, documentation and support that should be scoped separately.
Who owns the intellectual property?
Intellectual-property ownership, source-code access, licensing and reuse rights should be explicitly defined in the commercial agreement for each custom project.
How long does a custom project take?
Delivery duration depends on technical complexity, hardware availability, external integrations, data availability, field-testing requirements and the number of development iterations. The schedule should be defined after the scope is understood.
How should we start?
Start with the operational problem, the information you wish you had, available equipment or data, and the decision the final solution should support. Rekacipta can then determine whether the requirement should be configured, extended from an existing Siteplore product or developed as a custom prototype.
You do not need a custom IoT system. You need the right solution to a specific operational problem.
Tell Rekacipta what you cannot currently measure, see, integrate or understand. We can assess whether the requirement fits an existing Siteplore product, requires an extension, or justifies a focused custom IoT and analytics development project.