Active engagements
99.9%
Uptime
2.4×
Velocity lift
0
Data loss
Edge Computing

Decisions at the edge, because the cloud is too far.

Inference latency under 40ms. Works offline. Syncs when connectivity allows.

ManufacturingBFSIE-commerceHealthcareLogisticsManufacturingBFSIE-commerceHealthcareLogisticsManufacturingBFSIE-commerceHealthcareLogistics
Who
Who this is for

Who this is for.

If any of these sound like you, we should talk.
01

Indian businesses who need edge computing built for their real operational constraints.

Fits you
02

Teams who’ve tried off-the-shelf edge computing tools and hit ceilings within 6 months.

Fits you
03

Founders who want an engineering partner, not a vendor.

Fits you
04

Established enterprises modernising legacy edge computing systems.

Fits you
IoT
The proof

How we structure edge computing projects.

LAYER 1
Foundation
Infrastructure, observability, security baked into day-one architecture.
LAYER 2
Capability layer
Core features your team uses daily. Built iteratively, validated weekly.
LAYER 3
Operations
Monitoring, on-call runbooks, upgrade paths. How it runs in year two.
What we build

Modules we ship.

04capabilities in this service
01

Edge device selection

Edge device selection integrated into your operations, not bolted on.

02

Model optimisation

Model optimisation integrated into your operations, not bolted on.

03

Fleet management

Fleet management integrated into your operations, not bolted on.

04

OTA updates

OTA updates integrated into your operations, not bolted on.

Case studyNo. 004
ClientAn enterprise clientEnterprise

Vision model running at <em>60 FPS on a Jetson Nano</em> on a production line.

Quality control edge deployment across 8 factories. Zero cloud dependency for inference.

01
99.9%
Uptime
02
40%
Cost reduction
03
2.4x
Velocity improvement
04
0
Data loss incidents
What it's like working with us
They didn’t try to sell us the biggest solution. They sold us the right one. That’s rare.
RV
Rajiv V.
VP Engineering · An enterprise client
IoT · India
Tech stack

The tools. Chosen for your reasons.

04technologies in rotation
01NVIDIA Jetson
02Google Coral
03AWS Greengrass
04Azure IoT Edge
Process

How we actually work.

06 stages
  1. 01

    Discovery

    Weeks 1-2

    Current state, pain points, constraints.

  2. 02

    Architecture

    Weeks 2-4

    Blueprint for what’s being built.

  3. 03

    Core build

    Weeks 4-10

    Foundation modules, tested.

  4. 04

    Integration

    Weeks 10-12

    Connect to your existing systems.

  5. 05

    Rollout

    Weeks 12-16

    Phased deployment, training.

  6. 06

    Operate

    Week 16+

    Monitoring, improvements, retainer.

Questions

Answers, without the fluff.

Still have questions? Talk to us — we answer within a business day.

04common questions
01How long does a typical engagement take?
Most projects run 10-18 weeks from kickoff to production launch. We share a milestone plan in week one and update weekly.
02Do you sign an NDA?
Yes. Standard mutual NDA on request, before the first technical conversation.
03Who owns the code and IP?
You do. Code is in your GitHub org from day one. All IP transfers unambiguously on delivery.
04What does your pricing model look like?
For v1 builds: fixed scope, fixed milestones. For ongoing work: monthly retainer with a defined team. We don't do time-and-material surprise billing.
More in IoT02 / 02
Up next
Devices talking to <em>dashboards that make sense</em>.
PreviouslyDevices talking to <em>dashboards that make sense</em>.
Scope a real project.

Edge Computing built properly.

A 30-minute call. No sales deck. Specific answers to specific questions.

Your email
NDA available.