The Operating System for the $10 Trillion Labor Transition.
3.6 million humans translate words into electronic clicks every day. We automate the translation layer.
CASHIER
CREW.
The $90K/yr human checkout liability, replaced by an autonomous AI cashier deployed in 7 days via API. Zero upfront for the merchant. Live in production.
We don't replace people. We liberate them. The merchant saves ~$90K/yr per station; we capture the operating layer beneath every transaction. 3 months from incorporation to live production — on top of 4 years of operator-side distribution deliberately accumulated and redirected into Walletta. Engineered as infrastructure, not a product. Built to outlast its founders.
LIVE DEMO walletta-ai-cashier.vercel.app ↗NVIDIA accepted. AWS approved. Before the first round closes.
Two of the Big-4 of the modern compute stack have already admitted Walletta; the other two are in review. Every status below is exact — and verifiable in the data room.
NVIDIA's AI startup ecosystem. GPU credits, technical resources, go-to-market acceleration. Approval signal Tier-1 institutional investors recognize instantly.
AWS Activate credits approved. Compute for AI cashier deployment scale-out, edge inference migration path, and global distribution infrastructure.
Anthropic × Menlo Ventures. $100K–500K dedicated fund for AI-native infrastructure companies building on Claude. Application in review — perfect mission fit.
Delaware C-Corp infrastructure + payment rail integration. Walletta routes transactions through Stripe acquirer at 0.3–1.0% embedded take. The same model that built Stripe.
The wedge is the Cloud. The monopoly is the Edge.
Full daily coverage (2 shifts). Training, turnover, and operational friction. The true running cost of a single legacy checkout lane.
Zero upfront for enterprise — we earn only when the merchant earns. Embedded transaction take routes via Stripe / Square / Toast acquirers. Self-serve tier for SMB. Runtime live in production. Replaces the $90K human liability instantly.
Roadmap to twice the margin. On-device inference targets near-zero latency and higher per-node economics — the same OS, migrated mechanically from cloud. The compounding layer: embedded transaction take × every cart, every shift, every store.
Toast built a $13B market cap capturing 0.5–2.5% of merchant GMV across ~120,000 US restaurant locations. Square built a $50B market cap capturing 2.6% of payments volume. Walletta captures 0.3–1.0% of every transaction we route on a category 10× larger than restaurants — the entire physical-retail frontline. Same structural model. Order-of-magnitude larger surface.
Sequential capture. Legacy tech. Hollywood IP.
- Before Walletta, the founder built a premium-IP consumer venture from immigrant zero — partnered with a billion-net-worth manufacturer, A-list Hollywood talent (multi-Oscar-tier actors, global-scale musicians), and 5M+ creator network. Thousands of B2B sales. Trust banked across multi-location LA operators.
- That distribution lattice was deliberately wound down in January 2026 and re-pointed at Walletta. The same B2B clients need this product more than the last one. Market gravity shifted before product even launched — distribution moat compounded over 4 years of operator-side adaptation.
Legacy POS Hijack.
Compatible with 200+ legacy POS systems via universal architecture — or replace them entirely with our own Walletta OS. We own the checkout, regardless of the underlying till.
→The Incumbent Killshot.
We replace passive ledgers (Square / Toast) with proactive autonomous AI cashiers that engineer cart growth through sub-second voice upselling on every order. 10× smarter than a menu screen. 10× cheaper than the human lane. 20%+ retail OPEX reduction. CFO no-brainer.
→The Self-Generated Avatar.
Any retailer can generate their own avatar in minutes — or pick from a licensed library of A-list cultural IP. The checkout becomes a personal brand asset. A-list cultural IP for premium; founder-themselves for SMB. Uncopyable. Self-served. Culture-coded.
Three tiers. One operating layer.
The merchant chooses how they pay — we win either way. Subscription or transaction-embedded take, hardware bundled in. Toast captures 0.5–2.5% of merchant GMV. Square captures 2.6%. Walletta captures 0.3–1.0% of every transaction we route — on a category 10× larger than restaurants, with self-serve entry that needs no sales call.
- Full self-checkout POS 2.0 at $99/mo founding rate — half of Otter’s $300–400; steps to the $500/mo standard rate after the founding cohort
- AI video employee at $0.25 / active min — $0 idle, $0.15 with ads
- Self-serve onboarding — snap → generate → deploy in 7 days
- Everything in Tier A + multi-location dashboard — fleet-wide control
- Custom voice persona per brand — on-brand at every checkout
- At scale: 0.5% embedded transaction take + $40/mo hardware
- $0 procurement friction — embeds into existing payment processing
- Hardware bundled · white-label avatar persona · dedicated success manager
- Erewhon / Home Depot / Invenda class — we earn only when they earn
Cloud node today.
Edge node next.
One operating system.
The same Cashier Crew runtime ships from a cloud node into an on-device edge node. POS integration is invariant. The migration is mechanical, not a rewrite. We are not chasing vanity metrics — we are building the foundational operating layer for physical commerce.
Toast, Square, NCR, Aloha, Clover, smart-screen networks — 200+ integrations. Stays in place. Zero forklift upgrade.
Proactive AI cashier. Multimodal avatar engine. Acquiring layer. Upsell module. Telemetry. OTA-updateable.
Aggregated identity, payments, inventory across the deployed network. The data flywheel. The SaaS infrastructure tier.
Execution.
Now → December.
Concrete velocity, not roadmap fiction. Left, what we ship in 60 days. Right, the revenue path it unlocks. We start with food trucks — sharpest pain ($5–8K/mo per cashier), 1–2 week sales cycle, one decision-maker, 30-minute deploy.
- Stripe Connect — Tier A transaction routing · mid-July
- Square Reader SDK — universal POS adapter, Phase I · late July
- Self-Serve Generator MVP — snap → deploy in 7 days, no sales call · August
- Multi-language — English + Spanish voice + UI for LA · mid-August
- Operator Dashboard — real-time metrics, revenue lift · end August
- AUGFirst 5–10 food trucks paid. First $2.5–5K MRR. Hardware-as-a-Service unit economics validated on the ground.
- SEPTTrajectory to 50 deployments via direct sales + Self-Serve MVP. $20–30K MRR target.
- DECScaling toward 500 — one ghost-kitchen signature (CloudKitchens / Reef-class) = 50–100 deployments, plus drive-thru + referral compounding. $150–300K MRR ($1.8–3.6M ARR run-rate).
The Self-Serve Generator removes the founder from the sales loop — the shift from linear (founder sells) to product-led (the product scales itself). Transaction-embedded pricing collapses procurement from 12 months to 7 days. Hardware-as-a-Service ($40/mo, ~10-month payback) becomes a debt-financeable asset by Year 2.
The Trillion-Dollar Trajectory.
Targeting 5M+ global legacy endpoints across retail, vending, and hospitality. 5,000,000 nodes × (Technology + Acquiring + Data + Workforce Network) = A Trillion-Dollar Infrastructure base.
Path to scale: not enterprise sales (that would take 50 years) — a self-serve generator any operator deploys in 7 days, no human touch. The ambition ladder is capital-gated, not calendar-gated: 50 (bridge) → 500 (core pre-seed) → 10,000 (Series A) → 100,000 (Series B) → 1,000,000 cashiers (the funded ambition). Each 10× is unlocked by the next round — the product-led curve Stripe and Shopify ran. We want every node; the capital is what funds the climb.
From cashiers to in-aisle assistants. The entire transition budget is already approved by global retailers. We collect the line item.
The looming LA28 Olympics retail surge is compressed and forcing operators to automate legacy checkout systems today. The window for capture is structurally narrow.
Hardware is the wedge for Offline ID capture. Unlocking infinite SaaS up-sells: payroll, payments, inventory, identity.
3.6 million translators.
One automation layer.
browser
self-served
Operator-led.
Not engineer-built.
Walletta is engineered as infrastructure, not as a product. Built to outlast its founders. Code is a commodity — distribution is the uncopyable monopoly, secured before the first line of production code shipped.
The Moat
4 years of LA premium-retail B2B distribution. Multi-location operator network. Partners with $300M+ exit track records. Tier-1 Hollywood cultural alignment. Deliberately wound down in January 2026 and re-pointed at Walletta. The same operators we sold premium goods to last year are piloting our AI cashier this year. Distribution lattice inherited, not built.
The Method
100% operator-led decisions. Every shipped feature traces back to a frontline operator's named pain — not to a roadmap drafted in a vacuum. Founder lived the substrate as a working cashier in his own grocery chain before emigrating four years ago. We don't research the floor. We rebuilt it from inside. Distributed operator-led team under NDA during DD.
The Proof
~$50K of personal credit lines. 10,000+ hours of operator-side distribution accumulated and deliberately redirected. 3 months from incorporation to live production. Zero outside investors. Validation risk fully absorbed by the founder before institutional capital touches the cap table. Counter-cyclical in any macro: in a boom, operators deploy us to scale; in a recession, operators deploy us to survive.
We don’t write code. We engineer market transitions. Code is bought, replicated, optimized. Distribution is the one thing that cannot be — and we own it before the round closes. The trillion-dollar market is the byproduct. The liberation is the product.
The Velocity Bridge.
- Cap
- $10M
- Instrument
- SAFE · MFN
- Min check
- from $10K · standard $25K+
Gracious first-mover allocation — not a need-driven raise. The founder grinds to September metrics either way. This window exists so conviction-first investors can lock entry at $10M before the next round prices institutional capital at $20M+ minimum. Auto-closes when filled.
- Cap
- $20M
- Instrument
- SAFE · MFN
- Catalyst
- 50 screens live + first MRR
Priced off live deployment metrics — not projection. Funds the scale from 50 to 500 screens by Dec 2026 via the Self-Serve Generator + Stripe / Square / Toast integration. $1.75M is the exact figure to reach 500 deployments.
- Post-money
- $30–60M+
- Timeline
- Q1–Q2 2027
- Catalyst
- $3–8M ARR run-rate
Institutional Series A — priced off LIVE recurring ARR, not projection. Series B ($200–500M+) and the full 10-layer retail monopoly arc are on the next slide.
Hardware, ops, infrastructure, and founder runway covered through founder commercial credit lines + business credit + AWS Activate credits + active applications to non-dilutive grants and infrastructure programs. We are concurrently pursuing $2–5M in infrastructure / non-dilutive capital over the next 12 months. $0 of VC capital touches anything but the team that ships the product.
Early conviction sits ahead of every repricing.
Entry is designed for long-term partners — we are building for decades, and the plan reprices in steps that each have a date, a team, and a machine already on the street. The mechanics are boringly simple: we pay ~$500 to acquire a merchant through field sales today — the same per-acquisition deal plugs celebrity channels in tomorrow, the funnel scales from doors to millions of followers without changing the math. Targets below are internal goals, quoted conservatively on purpose — the aggressive case lives in the data room.
Retail Monopoly · 10-Layer Stack.
Global retail frontline-labor TAM is $3.55 trillion — 60M+ cashiers, 8M+ managers, 12M+ stockers, 25M+ floor associates, 3M+ loss-prevention staff. We do not need healthcare, banking, or hospitality verticals to reach a $100B+ outcome. We stay in retail and monetize the same deployment through ten compounding layers.
$500–1,500/mo per location · standard rate
TAM · $2.2T frontline labor
0.3–1.0% per transaction routed
TAM · $25T retail GMV
30–50% of AI-generated lift
TAM · ~$1.25T cart-lift
$5 / customer / year licensing
TAM · 4B retail customers
$200–500/mo per location module
TAM · 30M retail locations
$100–300/mo per location
TAM · 30M retail locations
$40–80/mo device lease
TAM · 100M+ endpoints
8% spread · transaction-backed SMB loans
TAM · $200B+ SMB credit gap
CPM-based proactive upsells
TAM · ~$70B in-store digital ads
20–30% margin on premium pool
TAM · $50B loss insurance
Ten compounding layers on a single deployment. Each reinforces the others — labor unlocks transaction routing, transaction unlocks the identity graph, identity unlocks lending, hardware unlocks scale. Capturing 1–3% of the addressable TAM stack at maturity positions Walletta as a $100–300B+ market-cap infrastructure company by 2032–2035. Stripe’s playbook applied to physical retail — one deployment, monetized through ten compounding layers.
$10T
Not a unicorn outcome. An infrastructure outcome. Owned. Routed. Taxed.
The Memorandum inside the data room is the master plan. Not a pitch — a build doc. Every Tier-1 review starts there.
EXECUTION FUEL.
You see the numbers. You see the product live in production. NVIDIA Inception accepted. AWS Activate approved. Anthropic and Stripe applications in review. 30+ active institutional applications submitted across top accelerators, VCs, and non-dilutive grants — the founder applies daily and does not stop. First paid pilots signing August 2026. The validation risk is already absorbed — bootstrapped to live production with $50K personal credit and 4 years of operator-side distribution. We scale with or without institutional permission. Lock allocation in the $250K Conviction Window at $10M cap before September prices the next round, and partner with the team rebuilding the operating substrate beneath the next century of physical retail.
The transition is inevitable. The substrate gets built either way. The only question is who owns the layer underneath.
Cashier Crew · Delaware C-Corp Voice. Vision. Identity. One Operating System. temur@cashiercrew.com
Cupertino, CA