01
Observe the uncertainty
Long and uneven queues could turn a routine fuel stop into a surprise delay.
Our story
QuickNG began with a very Indian question.
“Why do drivers know the distance to a CNG station, but not the time they may lose after reaching it?”
That question became the starting point for a product built around real roads, real queues and everyday uncertainty.
The beginning
Not a boardroom idea. A problem seen through energy work and city life.
The founder of Enrovix AI had worked around energy, CNG and mobility-related projects before QuickNG. Living and working in Gujarat also meant seeing how deeply CNG is part of daily transport, and how easily an uncertain queue can disrupt a driver’s schedule.
The team noticed a simple gap: maps could guide someone to a station, but they could not answer the question that often mattered more in that moment: should I go to this station right now?
QuickNG was shaped around that gap. The goal was never to make drivers study station operations or enter information they may not know. The goal was to give them a calmer, more informed choice using GPS-based journey context.
From question to product
The idea became clearer in three steps.
02
Remove the burden from drivers
The product should not depend on people entering technical or unreliable details.
03
Build around the journey
GPS-based signals, simple choices and honest ranges became the heart of QuickNG.