STAGSTER Labs LLP (LLPIN: ACS-0188)D-U-N-S 771775839Hyderabad, India HQBengaluruGlobal delivery24-hour responseSTAGSTER Labs LLP (LLPIN: ACS-0188)D-U-N-S 771775839Hyderabad, India HQBengaluruGlobal delivery24-hour response
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Edge computing architecture showing devices at the edge, local processing, and cloud connectivity

Emerging Tech

Edge Computing

Compute at the source. Low-latency processing for IoT, retail, and industrial environments.

1

How it works

1

Define Edge Use Case

Identify where low latency, bandwidth constraints, or offline operation require edge processing.

2

Hardware and Platform Selection

Choose edge hardware (Raspberry Pi, NVIDIA Jetson, custom). Pick OS and runtime environment.

3

Edge Application Development

Build or port application for edge deployment. Optimise for limited compute and power.

4

Connectivity and Sync

Design offline-first architecture. Local storage. Sync strategy for intermittent connectivity.

5

Deploy and Manage Remotely

Deploy to edge devices. Set up remote monitoring. Over-the-air updates. Fleet management.

2

Deep dive

Process where the data lives

Sending every sensor reading or video frame to the cloud is expensive, slow, and sometimes impossible. Edge computing processes data where it is generated. On a factory floor. In a retail store. On a vehicle. Only the results or exceptions need to reach the cloud.

Offline-first by design

Edge devices cannot always count on connectivity. We build edge applications that work fully offline. Processing data locally. Storing results. Syncing when connectivity is available. Your operations continue whether the network is up or not.

3

What an edge computing engagement gets you

  • Edge application running on your target hardware with optimised performance
  • Offline-first architecture that works without reliable connectivity
  • Sync strategy that handles intermittent connectivity without data loss
  • Remote fleet management with over-the-air update capability
  • Monitoring dashboards for device health, processing metrics, and sync status
4

Investment

6-14 week engagement, Rs 4L - Rs 18L

Single device prototype to fleet deployment. Hardware costs billed separately at actuals. Ongoing fleet management available as retainer.

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