About Sangati

Good service should not depend on the guest asking.

Sangati is an operational intelligence platform built for dine-in restaurants — detecting service flow breakdowns before they become visible failures.

The founder story

In August 2025, Prasad Mehta was seated at a popular 120-seater restaurant in Auckland, New Zealand. It was the off-hours — the lunch rush had passed, tables were mostly empty. A server had placed the menu and a glass of water in front of him and disappeared.

Fifteen minutes passed. Not a single staff member in sight. No check-in. No eye contact. No acknowledgement.

He waved someone down, placed his order, and while waiting for the food, he noticed something on the ceiling — a CCTV camera, angled directly at his table.

"What if that camera knew a guest was seated here — and no one had come?"

It was not a far-fetched idea. Back home in India, Prasad had spent years running Uncafe, his own restaurant. Every evening, he would sit with a screen open to his own CCTV feed — watching tables, counting minutes, nudging staff. He was the human intelligence layer between the camera and the floor.

That question became Sangati.

Restaurant atmosphere
What we build

The intelligence layer between your cameras and your floor.

Sangati sits between your existing CCTV and your team. It watches service timing across every active table — from the moment a guest is seated to the moment the bill is cleared — and detects when something is running late, before the guest has to ask.

No cloud. No guest profiling. No facial recognition. Everything runs on a single machine inside your restaurant. Your data never leaves your premises.

Built specifically for India — including tier 2 and tier 3 cities where unreliable internet is a reality, not an edge case.

Offline-first On-premise No cloud dependency Works with existing CCTV
Restaurant interior
The founder
Prasad Mehta
Prasad Mehta
Founder & CEO — Prasad Matrix Inc

15 years in the hospitality industry. Prasad built and operated two food businesses from scratch before building Sangati — driven by the same operational problem he faced as an owner every single day.

2011–2015 Founded The Lunch Box Factory, a cloud kitchen venture
August 2015 Founded NPM Foods LLP
2017–2020 Launched and operated Uncafe, a dine-in restaurant — closed during COVID-19
2025 Founded Prasad Matrix Inc and began building Sangati
Restaurateur Cloud kitchen founder Operator-turned-builder 15 yrs hospitality
Frequently asked questions

For restaurant owners

Will my staff feel like they are being watched?+
Sangati watches service timings, not people. It tracks when a table was seated, when an order was placed, when food arrived — not who walked where or what was said. Your team gets nudges on what to do next, not surveillance reports on where they were standing.
What happens if my internet goes down?+
Nothing. Sangati runs entirely on a single machine inside your restaurant. There is no cloud connection required for it to work. Internet going down does not stop the system — alerts still reach your staff, and data keeps recording locally.
Do I need to replace my existing cameras or POS?+
No. Sangati connects to your existing CCTV system over your local network. It also integrates with common Indian POS systems. You do not need new hardware to get started.
How long does setup take?+
A standard installation — connecting cameras, setting up zones, registering staff — takes under a day. The system starts calibrating to your restaurant's natural service rhythm from the first week of live data.
Is this only useful for large restaurants?+
No. The problem Sangati solves is just as common in a 30-cover neighbourhood restaurant as in a 120-seater. The platform is designed to be affordable and operable for independent restaurants, not just chains.
What data does Sangati collect about my guests?+
None. Sangati does not collect, store, or process any personally identifiable information about guests. There is no facial recognition. There is no guest profiling. The system only tracks service timing events — seat, order, serve, bill — tied to a table, not to a person.

For investors

Why India, and why tier 2 and tier 3 cities specifically?+
India's organised dine-in restaurant market is growing fastest outside metro cities, where margins are tighter and owner-operators have limited operational support. Most existing restaurant tech is cloud-dependent and designed for chains. Sangati is built offline-first precisely because unreliable internet is the norm in these markets — not the exception.
Why is a 15-year operator the right person to build this?+
Because Prasad has been the manual version of Sangati — watching his own CCTV feed every evening to catch slow service before guests noticed. He is not hypothesising a problem. He lived it, and he built the system he wishes he had when he was operating Uncafe. Founder-market fit is not a slide here — it is the origin story.
What is the unfair advantage that is hard to replicate?+
Three things compounding together: offline-first architecture built for real Indian infrastructure conditions; a deviation engine calibrated per venue using rolling baselines from that venue's own service history; and a distribution wedge through direct operator relationships built over 15 years in the industry. The baseline data — once accumulated — becomes a moat no cloud competitor can replicate without the same on-premise presence.
Where is Sangati today?+
The core platform — deviation engine, role-based dashboards, POS integration, and installer — is pilot-ready. The immediate milestone is deploying the first live venue. Investor conversations are planned after the first pilot is live and generating real operational data.