Case Study
How Gowitek Built a Real-Time IoT Data Pipeline That Cut Integration Costs 45%
A field-equipment data platform needed live sensor readings out of harsh, disconnected environments and into a system partners could build on without months of custom integration work. Gowitek built the pipeline, the SDK, and the always-on sync layer that made it possible.
Results at a Glance
Field data reliability
+60% compliance visibility
Device battery life
+30%
Integration layer cost
-35% to -45%
Partner integration
Self-serve via SDK
Platform expansion
Training, field ops, emergency response
60%
Increase in safety compliance visibility
30%
Longer device battery life
45%
Lower development & maintenance cost
1 SDK
Self-serve partner integration
Client Overview
A UK Technology Provider Capturing Human Data in High-Risk Environments
The client is a UK-based technology provider building human data capture systems for personnel working in high-risk environments, including firefighting, military training, and industrial safety. Their teams needed continuous, real-time visibility into the health and status of equipment worn or carried in the field, plus a way to let their own customers and partners plug that data into other systems.
It’s a different industry than most of our OEM clients, but the underlying problem is the same one we solve for equipment manufacturers building EaaS and servitization offerings: get reliable data off a device in the field, keep it flowing even when the connection drops, and make it easy for someone else’s software to use it.
The Problem
Real-Time Monitoring Breaks Down Where the Equipment Actually Works
Real-time monitoring in the field is far harder than it sounds once you account for where the equipment operates: outdoors, underground, on spotty networks, often in conditions where a screen is barely readable. The client needed one app experience that worked across iOS and Android without doubling their engineering effort or their support burden.
On top of that, the app had to run inside locked-down, enterprise-secured environments without becoming a pain to use, and it had to keep collecting and sending sensor data even when the network cut out mid-shift. For any OEM shipping connected equipment, that last part is the whole ballgame, a monitoring platform that only works when the connection is perfect isn’t one you can put your name behind.
Challenges
Key Challenges Standing in the Way of a Reliable IoT Data Pipeline
One codebase, two platforms
iOS and Android needed to run from a single codebase to keep cost and time-to-market down, without the app feeling like a compromise on either device.
Sensor data with zero room for lag
Readings came in over Bluetooth and had to sync to the cloud in real time, with no lag and no dropped data.
Built for the field, not the office
High-contrast, simplified screens for outdoor visibility, plus careful battery tuning so the app did not drain the device before the shift was over.
Locked down but still flexible
The app had to run inside secure, controlled environments to prevent misuse, while still letting enterprise customers customize it for their own operations.
Solution
How Gowitek Built the Pipeline, the SDK, and the Sync Layer
Gowitek delivered a single cross-platform app, a modular partner SDK, and an offline-resilient data pipeline that moves sensor readings from device to cloud continuously, capturing Bluetooth sensor data in real time, queueing it locally when connectivity drops, and syncing it the moment the network returns.
01
One Codebase for Both Platforms
Gowitek built a single React Native app that runs on iOS, Android, and connected wearables, capturing and displaying sensor data in real time. One codebase meant faster development, simpler maintenance, and no need to keep two separate apps in sync every time something changed.
02
An SDK So Partners Could Build on Top
Gowitek delivered a modular SDK, built in Golang with React Native bindings, so the client’s enterprise customers and partners could pull health and safety sensor data straight into their own systems with no custom integration project required on either side. For an OEM, this is exactly the layer that turns a piece of connected equipment into a platform other software can build against.
03
Interfaces Built for Real Conditions
Screens were designed for readability in bright outdoor light and low-light conditions alike, with background processing tuned to keep battery use low during continuous data streaming, a non-negotiable for anyone relying on the device for a full shift.
04
Security That Doesn't Get in the Way
The platform runs with mobile device management (MDM) and custom lockdown controls to restrict non-essential functionality, with data encrypted both in transit and at rest to meet enterprise compliance requirements.
05
A Data Pipeline That Keeps Running When the Network Doesn't
Background services maintain a continuous flow of data from sensor to app to cloud, with store-and-forward logic that queues data locally and syncs it once connectivity returns. The pipeline does not lose data just because the signal did.
Business Impact
The Measurable Impact of a Real-Time IoT Data Pipeline
60%
Increase in Safety Compliance Visibility
Real-time monitoring gave field personnel continuous visibility into their own status, improving situational awareness and driving a 60% increase in measured safety compliance across teams.
30%
Longer Battery Life
Background task optimization and deliberate UI/UX choices extended battery life by 30%, giving field personnel the all-day reliability the job demands.
45%
Lower Development and Maintenance Costs
Building one hybrid app instead of two native apps cut development and maintenance costs by 35 to 45%, without giving up native-like performance.
1 SDK
A Platform, Not Just an App
Because the SDK made integration self-serve, the client’s partners expanded the platform well beyond its original use case, into training, field operations, and emergency response, without Gowitek having to rebuild the core pipeline each time.
Why This Matters for OEMs and Servitization
Swap “firefighter” for “field technician” and “safety sensor” for “equipment sensor,” and this is the same architecture question every OEM building a connected-equipment or Equipment-as-a-Service offering runs into: real-time data in, resilient sync when the network drops, and an integration layer that does not require an OEM’s smallest partner to have a dedicated engineering team just to connect.
Ready to Get Reliable Data Off Your Equipment in the Field?
If your equipment needs to report back reliably from the field, and you want that data usable by your own team and your partners without a custom build every time, Gowitek can help. Let’s talk through what that pipeline could look like for your product.