HungerOS isn't software with AI sprinkled on top. It's a crew of AI agents that do the jobs — one bills on UPI, one turns your purchases into costed stock, one recosts every dish when prices move, one forecasts tomorrow's prep, one writes the marketing, one wins back the diner Swiggy was renting you.
Everything on this page is a screen from the software running our own food truck in HSR Layout tonight. Real UPI settlements into foodtruckmaniallp01@idfcbank, real GST at 5%, real customers on WhatsApp, real stock counted down to the piece.
Figures from The Spot — Gourmet Caravan, Bengaluru, August 2026.
The POS records what was sold. It has no idea what it cost. Purchases live in a WhatsApp thread, staff advances live in a notebook, recipes live in a chef's head, and the true food cost surfaces once a month — if at all — when it's already spent.
So owners price on instinct, discover margin leaks a quarter late, and treat inventory as a weekend chore. Meanwhile aggregators take the commission and the customer.
Passion gets a restaurant opened.
Numbers keep it open.
Bills photographed, forgotten, never priced into a dish.
₹2,000 handed over for vegetables. Reconciled maybe. Costed never.
Portion sizes drift. Nobody notices until the margin does.
You pay the commission and still can't message the diner.
None of the four problems above are hard to solve with attention. They're unsolved because nobody has the attention. AI does — it reads the bill, prices the recipe, watches the margin and messages the diner, continuously, for the cost of a part-time hire.
Every restaurant needs a purchase manager, a cost accountant, a demand planner, a marketer, an HR desk and someone to answer reviews. No independent café can pay for six people. HungerOS runs them as AI agents — always on, working off the same live data, handing the owner a decision instead of a task.
Recomputes true cost per plate every time an ingredient price moves. Watches margin per dish and tells you which ones quietly stopped being worth cooking.
Reads photographed bills — printed or handwritten — into structured stock. Tracks every vendor's price history and flags the morning a rate quietly went up 18%.
Predicts tonight's covers from history, weather, paydays, local events and match days — then writes the prep list and the purchase order to match.
Sits behind the till during peak. Promotes the high-margin dish, warns before an item runs out mid-service, and spots the void and discount patterns worth a conversation.
Writes and ships the content, offers, influencer briefs and ad creative — priced against live dish margin, so it never discounts something you lose money on.
Reads every Google, Swiggy and Zomato review, answers in your voice within minutes, and converts complaints into an operational fix instead of an apology.
Writes the job post, screens and ranks applicants, drafts offer letters, builds the roster against forecast demand and settles staff expense claims.
Daily P&L, GST-ready records, vendor contracts, licence renewal reminders. The unglamorous work that quietly closes restaurants, handled without a bookkeeper.
These agents share one ledger. The purchasing agent's receipt changes the costing agent's numbers, which changes what the growth agent is allowed to discount.
That's the part a bolted-on assistant can't do. An AI answering questions about your POS is a feature. An AI that owns the loop from purchase to plate to promotion is an operating system.
Payments arrive already matched to their orders, so nobody counts up at midnight. Tax is split on every bill as it happens, so the month's return is a button. And every person who pays becomes a customer we can reach again — without asking them to install or sign up for anything.
Actual screens from FoodTruck POS, running at The Spot tonight. GST is computed and split on every bill — the month's return is a report, not a reconstruction.
Every settlement lands attached to its order. The nightly tally-up that used to end the shift simply doesn't happen any more.
Taxable value and tax separated at the moment of sale — so filing is a report you email, not a weekend spent rebuilding a month from memory.
Paying is the signup. No app to install, no loyalty card to lose, no form at the counter while a queue builds behind them.
Service continues offline and catches up when the link returns. On a truck at 9pm that's the difference between a queue and a crisis.
Unusual voids, discounts and off-hours bills surface while you can still ask about them. Most owners find these a year late, or never.
Which is also how a stranger at a truck window becomes somebody you can invite back on a slow Tuesday.
Not a feature list. These are the differences we can point at in our own numbers since the AI started running the back office. Scroll through them.
The number we could never trust before is now the first thing on the dashboard.
Every purchase is attached to the dishes it feeds. Nothing sits in a WhatsApp thread waiting to be forgotten.
Every rupee handed to a staff member has a receipt, a category and a name against it. The end-of-week conversation stopped happening.
We were carrying stock, prep time and menu space for ten items nobody ordered. We only know that because something was counting.
Built from bills alone — no app, no signup, no loyalty card. Those 172 are the cheapest growth available to any restaurant, and almost nobody works them.
Food cost used to be a monthly reckoning — if it happened at all. It's now a number we see before service, on every dish, moving with the market. Pricing became a decision instead of a habit.
Purchases used to live in a WhatsApp thread and die there. Now everything we buy is priced into the dishes it feeds, and a supplier raising a rate is something we find out that morning rather than at the end of a bad quarter.
Cash advances and personal UPI spends used to be a notebook and a memory. Every claim now carries a receipt, a category and a name, and gets settled on a schedule. Nobody is out of pocket and nobody is under suspicion.
Eight dishes carry our month. Ten more didn't sell a single time — and we were still buying for them, prepping for them and giving them menu space. Cutting what doesn't earn is the fastest margin win in any restaurant, and it needs data nobody has.
A customer list built from bills alone — nothing for the diner to install, nothing to sign up for. 172 of them have come exactly once. Turning even a fraction of those into regulars is worth more than any ad budget we could afford.
Purchasing and staff money are the same problem wearing two hats — rupees entering the kitchen that nobody has time to chase. Both are now settled the same day, priced into the dishes they feed, and visible to the person who paid.
Not a single purchase sits in a WhatsApp thread waiting to be forgotten. Every bill — printed, crumpled or handwritten at a market stall — ends up priced into the dishes it feeds.
Cash advances and personal UPI spends used to be a notebook and an awkward conversation. Claims are now raised, approved from a phone and settled on a schedule.
True cost per plate used to be a number we reviewed occasionally and half-believed. It now moves with the market and is waiting for us before service.
Hussain buys vegetables from BigBasket for ₹244.47. He raises it in the app; the owner approves it from a phone. The AI reads the bill into stock at the price actually paid, attributes the spend to Hussain and to Vegetables, and pushes the new ingredient cost into every recipe that uses it.
One action by a staff member on a Tuesday evening settles a reimbursement, updates inventory, and reprices the menu. That's the loop.
We were buying stock, spending prep time and giving menu space to ten items nobody ordered — and we'd have carried on doing it. Cutting what doesn't earn is the fastest margin win available to any restaurant. It just requires somebody to be counting, every day, forever.
Classified from real margin and real velocity — not from what the owner thinks sells well.
AI answers in sentences, with the working shown — which receipt, which recipe, which number moved. Owners never learn a BI tool. Ask in English, Hindi or Kannada.
That second number is the one that keeps us up. Those people liked the food enough to come, and nothing brought them back — because in most restaurants nobody has the time to notice, let alone write to them. Winning back a fraction of them is worth more than any ad budget a truck can afford.
Real segments from The Spot, August 2026. Note the shape: 172 people came once. Turning even a tenth of them into regulars is worth more than any ad spend — and it's a job nobody has time to do by hand.
Worth saying plainly, because the aggregators built a business on the opposite promise.
The Spot — Gourmet Caravan, HSR Layout, Bengaluru. Gourmet Italian and American, evening service, real regulars, real P&L. It is also where every AI agent in HungerOS is trained, tested and allowed to be wrong — with our own money at stake, before anyone else can buy it.
The purchasing agent exists because Sharath was the one photographing vegetable bills at 7am, and Ramya decided an AI should do it instead. That's the whole company in one sentence: a problem found on the floor, solved by someone who builds production systems for a living.
Visit the caféFill these before publishing — investors ask for these three first, and an empty block beats a vague one.
The clearest way to hold this: we are an AI company that owns its own first customer. Owning restaurants is how we train and prove the agents, and how we acquire the next hundred users at near-zero cost. The AI is how the economics scale.
There's a second reason the restaurant matters, and it's the one investors tend to like most: AI agents need somewhere to be wrong safely. Every agent is trialled in a kitchen we own, on our own money, before it ever touches a customer's P&L.
The Spot — Gourmet Caravan, HSR Layout
The AI training ground, proof of ROI, and a consumer brand worth franchising. Restaurant AI doesn't die of missing features — it dies because independents won't adopt it and can't be shown a credible number. Owning outlets solves both permanently, and gives every agent a real kitchen to be tested in before a paying customer meets it.
Partner capital, our playbook, our software — mandatory
Distribution. A franchisee isn't just a royalty — it's a software seat with 100% adoption, written into the agreement, churning only if they close. Selling a brand people already want is a far cheaper route to installed base than cold-selling POS to independents.
Your brand on the front. Our engine underneath.
The venture-scale outcome. Once Layer 1 has produced a hard ROI number and Layer 2 has proved the software survives operators who aren't us, we sell to independent restaurants on a claim nobody else can make: here is the food-cost delta, measured in real kitchens.
Restaurants are how we train the AI and acquire its customers at near-zero CAC.
The AI is how restaurant money starts compounding.
Illustrative shape, not a forecast. The point: by Year 5 most revenue never touches a kitchen we own.
Because the hard part of restaurant software isn't building it — it's being believed. Owning outlets gives us an honest testbed, a case study competitors have to buy with marketing spend, and a brand that makes franchising possible. Layer 1 is capped at 40% of this round and is not where we intend to keep deploying capital.
Franchising is our go-to-market. Every franchisee is a fully-adopted software seat acquired through brand demand rather than an outbound POS sale, on a multi-year agreement, in a segment where SaaS churn is normally brutal. It's the cheapest distribution available to us.
A vertical software company with a physical proof-and-distribution layer. Judge us on installed outlets, software attach rate, net revenue retention, and the measured food-cost delta our system produces — not on how many cafés we operate.
That the food-cost delta turns out to be small, or that operating restaurants absorbs the attention the platform needs. The first is measurable early — which is why Layer 1 exists before we ask anyone to buy Layer 3. The second is why the founding team is split down that exact line: a full-time engineering founder who never gets pulled into tonight's service.
Same engine underneath either choice.
Open a profitable café in months, not years.
Your brand on the front. Our engine underneath.
Every feature on this page can be built by somebody else.
None of it can be proven without owning a restaurant — which is why we own one.
We're not defending a clever idea. Recipe costing and receipt reading aren't secrets; a well-funded competitor could ship both this quarter. We say so plainly because pretending otherwise would be the weaker position.
What compounds instead: a vendor and consumption dataset for this city that only accumulates by trading; portion and yield behaviour learned from real counts; a brand people will pay to franchise; and the ability to find a bug during Monday service and ship the fix on Tuesday.
And one thing nobody can shortcut — a measured food-cost delta from a kitchen where the founders' own money was at risk. Competitors will have to buy that credibility with marketing spend. We earn it every evening at 9pm.
| Category | Who | What they miss |
|---|---|---|
| POS & restaurant SaaS | Toast, Petpooja, Posist | Bill and report, with AI added as a feature. Few close the loop from purchase receipt to true cost per plate — and none can show you their own P&L |
| Restaurant AI point tools | Review bots, forecasting add-ons, AI menu writers | One agent with no ledger underneath it. An AI that can't see your true cost can't make a decision worth acting on |
| Aggregators | Swiggy, Zomato | Own the customer and tax the restaurant — demand, not capability |
| Cloud kitchens | Rebel Foods | Scale their own brands — they don't arm independent founders |
| Franchise consultants | Fragmented local players | Advice and decks — no software, no ongoing system |
| HungerOS | Eight AI agents on one ledger + brand + operations | The full loop — receipt to stock to recipe to margin to customer — with AI acting at every step, proven in kitchens we own |
The two halves of this business have a founder each — which is the reason we can run a live kitchen and ship a platform at the same time, rather than trading one off against the other.
Engineering reports to Ramya; operations and franchise development to Sharath. The split is deliberate — the platform team never gets pulled into tonight's service, and the restaurant never waits on a sprint.
Gourmet Italian and American, served in the evenings to HSR Layout's young professionals. A real café with real regulars — which also happens to be where every feature in HungerOS is proven before anyone else can buy it.
Drop a real photo of the outlet here. Never use AI-generated food images on a restaurant site — diners spot them instantly.
They won't spend a year learning POS, inventory, costing and marketing — they'll hire an AI crew on day one. The only question is whose. Franchise The Spot, or run your own brand on HungerOS.
Either way — HungerOS powers it.
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