Updated October 20, 2026 · Pre-seed 2026
The investor page is the argument. This is the same case with the numbers built from their parts and the state of every piece. Every figure here is sourced, computed in the live model, or labelled as a plan.
The product. A self-checkout that does the cashier's job: takes the order by talking, in the guest's own language, and asks for the add-on on every ticket. It runs today on a stock iPad, prices by code and bills AI only by the active minute.
The market. US pay for cashiers, counter and sales staff and their managers. We sell the labor, not a kiosk, and four in five restaurants have no self-service at all yet.
The team. A founder who built 21 brands, put unattended hardware on retail floors and built the live product himself, engineering partners Dima Sukharev, ex-Deel and Alibaba, and Fastshot (YC F25), led by Dmitry Fatkhi, ex-Google, with engineers from Google and Cisco Meraki.
The owner starts on the iPad they already have, and the AI cashier is free for its first 14 days. The screen shows its own ROI. Reps are paid only from revenue already collected, and a sold kit is paid for at signing. Every counter pays back in under four months. Growth is limited by how fast screens reach counters, and that is what this round pays for.
A cashier's core job is to hear a sentence and type it into a register. It stayed manual because until about eighteen months ago voice AI was too slow, too expensive and too uncanny to put in front of a paying guest. That changed, and the counter is still staffed the old way.
a year to staff one twelve-hour counter in Los Angeles: two people at about $5,000 a month each, fully loaded. Our estimate; check it against any owner's payroll.
annual turnover on quick-service counter jobs, per industry surveys. The owner re-hires the position every few months.
restaurants with no self-service of any kind. Kiosk penetration sits around 20%, almost all of it in chains.
Model defaults: 75 orders a day, the middle of a working lunch counter (the owner's numbers use 60, the low end); 45 seconds of AI per order; lease tier; a $2,460 kit with three years of cover. Every line below is a slider on the model page.
| Line | Per month | Note |
|---|---|---|
| Subscription | $99 | Per screen. |
| Equipment lease | $99 | Lease tier: $200 setup plus $99 a month. On the buy tier the merchant pays for the kit at signing, from $1,595, and this line is $0. |
| AI minutes billed | $428 | 1,710 minutes at $0.25. $0 when idle. |
| Revenue | $626 | $527 on the buy tier. |
| AI minutes at cost | −$257 | $0.15 a minute today: speech, model, voice, video persona. Heading toward $0.08. |
| Cloud | −$25 | Hosting, image generation, observability. |
| Kit and cover over 36 months | −$68 | Lease tier only: iPad Pro 13″, stands, reader, kitchen iPad, tax and damage-and-theft cover, about $2,460. |
| Gross margin, live today | $276 | 44% of revenue. $245 on the buy tier, with no capital tied up. |
| Payments take plan | +$210 | 0.4% of $52,500 monthly card volume. See §04. |
| Per counter, with payments | $836 | Gross margin $486. |
| Acquisition | Value | Note |
|---|---|---|
| Cost to win a counter | ~$1,000 | 10% of the counter's first-year revenue, paid out of revenue already collected. The $200 setup fee covers the install. No marketing spend. |
| Payback | 3.6 months | On gross margin today. About two with payments. |
| Monthly churn | 1.5% | About 17% a year. Independents close at 15–25% a year; we install at busy counters. |
| Lifetime gross margin | ~$18,400 | $276 ÷ 1.5%. About 18× the cost to win it, before payments. |
$120,000 a year of counter payroll not paid, plus about $52,980 of add-on sales, net of what we charge: a $172,980 swing on one counter. The add-on line assumes 60 orders a day, the low end of a working lunch counter, and $2.70 of add-ons per order, because the screen asks on every ticket and a tired person doesn't. The owner can check both halves against his own payroll and tickets.
The model never computes a price. It proposes what the guest wants; a deterministic state machine checks every line against the merchant's real menu and does all the arithmetic. An item that isn't on the menu can't reach the receipt.
| Component | Status | Note |
|---|---|---|
| Voice ordering, 42 languages, video persona | Live | Full-screen on any iPad; ten languages detected automatically. Built by the founder. |
| Native iPad app | This quarter | In beta on our own iPads; App Store release after Apple enrollment. |
| Code-priced checkout, modifiers, upsell | Live | Talk to it at cashiercrew.com/kiosk. |
| Kitchen tickets, owner stats | Live | |
| Square card payments | This quarter | Tap, chip, wallets, receipt; the paid order goes to the kitchen. In the engineering contract's acceptance criteria. |
| Kiosk lock, offline ordering | This quarter | Shown working on our iPad within 30 days of the contract start. |
| Owner panel on the kitchen iPad, behind a PIN | This quarter | Day's orders and sales; edit items, prices, stop-list and settings. |
| Toast and Clover | Next | Payments and POS sit behind provider interfaces from day one, so each is an adapter, not a rewrite. |
| Self-install and AI menu import | Series A | The owner photographs the menu and approves it. Removes the install visit. |
Of a ~2.7% card-present fee, about 1.7–1.9% is interchange and network assessments that nobody negotiates. The contestable slice is the processor's 0.8–1.0%. Through our processor partners the owner pays 2.3% all-in, under Square’s 2.6% + 15¢, and we keep 0.4%.
The model assumes $52,500 a month of card volume per counter. That is the restaurant's volume through the counter, not only the orders the AI takes, so earning it means becoming the merchant's processor. Set to zero, the model still clears its bar.
| Ring | Count | Per year | How |
|---|---|---|---|
| The budget it's paid from | ~13M workers | ~$500B | US pay for cashiers, fast-food and counter workers, retail salespersons, first-line supervisors and food service managers (BLS OEWS, May 2025, our sum), before payroll tax. We sell labor, not a kiosk. |
| Los Angeles | ~12,300 counters | ~$123M | ~15,400 restaurants, four in five with no self-service, at ~$836 a month with payments. A thousand counters is 8% of one city. |
| US restaurants | ~600,000 counters | ~$6.0B | ~750,000 food-service locations (National Restaurant Association, 2025), four in five without self-service, same price. |
| The aisle second product | ~2.4M screens | ~$9B | 1,081,474 US retail establishments (BLS QCEW, Q3 2024) at 8 / 2 / 1 screens for large, mid and small format, $299 a month. The screens-per-store split is our assumption. |
| United States, our products | ~$15B | At full penetration, before advertising, lending or anything outside the US. Not revenue we project. |
The first fifty are installed by the founder. The next fifty, and every one after, are sold by commission-only reps: $100 at signing, then 10% of the counter’s collected revenue for ten months, paid only from money received. That is about $1,000 per counter, 10% of its first-year revenue.
Then growth becomes a download. The Series A builds self-install: the owner orders the terminal, stands it up and approves a menu the AI built from a photo. That takes installs from what a field force can carry (about 2,000 a month) to 5,000, and passes 125,000 counters in year five. It is how Square reached millions of sellers without knocking on their doors.
The idle screen is also a channel. A face guests already know on a hundred thousand idle screens is inventory we own, and we intend to bring recognised talent on equity rather than fees. None of it is in any figure here.
| Who | Role | Background |
|---|---|---|
| Temur Valiev | Founder & CEO · full-time | Twenty-one own-label brands in the Caucasus, including Azau Crystal. Reverse-vending machines on retail floors, 2016–18. Closed a working confectionery business in December 2025 to build this. Built the live product himself, with AI tooling. |
| Dima Sukharev | Engineering lead, not signed yet | Ex-Deel and Alibaba. Author of OpenCommit, 7,400 GitHub stars; GitHub + DEV 2023 hackathon winner. |
| Dmitry Fatkhi | Build partner, not signed yet | Ex-Google, AI/ML infrastructure. Co-founder and CEO of Fastshot (YC F25), which he continues to run. |
| Alexander Sukhanov | Founding engineer | Ex-Cisco Meraki staff engineer. Taught at Stanford. |
| Elvira Dzhuraeva | Founding engineer | Ex-Google senior PM for AI developer tools, Kubeflow. Stanford GSB. |
Engineering: a development agreement with Fastshot and its three engineers, drafted and not signed yet, led by Dmitry Fatkhi: no fixed fee and no salary. 20% of gross margin from acceptance of a working build, capped at $1.5M, until the Series A, 2,000 paying counters or 24 months; then the prior twelve months' fee in cash, or three times that in shares, never more than 2% of the company. All work product is assigned to Walletta. Dima Sukharev leads engineering as CTO and builds the in-house team from the seed.
| Cap table | Share today | Status |
|---|---|---|
| Temur Valiev, founder | 69.72% | Founder common stock, IP assigned at incorporation. Vests over four years with a one-year cliff from March 4, 2026; 83(b) filed. |
| Ralina Akhmetzianova | 10.00% | Founder common stock, same vesting; 83(b) filed. |
| Option pool | 20% | Adopted, substantially unallocated. |
| Two individual holders | 0.28% | Gifted from the founder's released shares, September 29, 2026. No company dilution. |
| Fastshot, Inc. | ≤ 2.0% | Only if Fastshot takes shares when its margin fee converts, at the Series A at the investors' price; never more than 2%. |
| Angel SAFE | — | Post-money SAFE, outstanding. Terms in the diligence file. |
| Step | What | Proves |
|---|---|---|
| Now · from sales | First installs, then 1,000+ paying counters, California first. App Store app, payments, kiosk lock and offline shipped. | Retention, orders per counter, upsell per ticket. |
| Series A · on 1,000+ live counters | Led by a fund. Self-install and AI menu import, in-house engineering, field force on W-2, the leased fleet. | That growth is a download, not a headcount. |
| Year five | 125,000 counters, over $1B a year of revenue, then the aisle. | Built for a million counters. |
| Year | Counters | Revenue in the year | Run-rate at year end | Downside: field force only |
|---|---|---|---|---|
| 1 | 1,749 | $7.3M | $17.5M | 1,749 |
| 2 | 8,503 | $47M | $85M | 8,503 |
| 3 | 34,537 | $198M | $346M | 27,212 |
| 4 | 83,856 | $620M | $841M | 44,814 |
| 5 | 125,236 | $1.07B | $1.26B | 59,497 |
100 installs in month three, growing 12% a month to 5,000 once self-install ships, 1.5% monthly churn, ~$836 per counter with payments. 125,000 counters × ~$836 × 12 is ~$1.25B a year, and the aisle, the idle screen and lending are not in it. The downside keeps a field force alone at 2,000 a month. Without the payments layer revenue is about 25% lower. Illustrative arithmetic on stated assumptions, not a forecast — move any of it on the model page.
Walletta, Inc. · Delaware C-Corporation · ESOP 20% adopted · no 409A yet.
Square, Toast, Clover, Otter, Apple, iPad, NVIDIA and AWS are trademarks of their respective owners; mention does not imply sponsorship or partnership unless stated. Securities notice. This page is for information only and is not an offer to sell, or a solicitation of an offer to buy, any security. Any offering will be made only to accredited investors under Rule 506(c) of Regulation D, with reasonable steps to verify accredited status, and only under definitive documents, which control over anything stated here. A Form D will be filed within 15 days of the first sale. Early-stage investment is speculative and illiquid, and the entire amount may be lost. Counter counts, revenue, valuations and timelines are targets and illustrative scenarios on stated assumptions, not forecasts or guarantees. Layers marked plan are not built. Nothing is signed with named enterprise accounts to date.