Restaurant POS Platform allO Raises $14M to Expand AI-Powered Operations Across Europe
allO, an AI-native operating system built for restaurants, closed a $14 million Series A round led by Zigg Capital. The funding comes as the Berlin-based company expands beyond its home market in Germany, where it now serves over 1,000 active restaurant locations.
The round included new investors LifeX Ventures, Aperture, and Wecken & Cie., plus continued backing from 20VC and Keen Venture Partners. Angels included Fabian Siegel (co-founder of Marley Spoon), Mark Ransford (fintech investor), and Ludwig Fuchs (founder of Realtime Technology AG).
From Scan-to-Order to Full Operating System
allO launched in late 2020 as a pandemic-era scan-to-order solution. The founders-Cancan Liu, Teodor Rupi, and Benedikt v. Lewinski-recognized the real bottleneck wasn't ordering. It was the fragmented tech stack independent restaurants relied on.
The team rebuilt allO as a point-of-sale and payments platform with scan-to-order built in. By 2024, it extended across front-of-house and back-office operations.
The numbers show traction. Active locations grew 6x and revenue 3.5x year-on-year since the seed round. Thirty percent of new customers now come through referrals. Setup takes under 30 minutes on allO versus two weeks on legacy systems.
Restaurant owners describe a shift from managing multiple systems to operating from a single dashboard. Peng, owner of Ledu, a 13-location Chinese restaurant group in Munich, said: "Before allO, running 13 locations meant constantly being on the road just to know what was happening in my own business. Now I open my phone and see how every restaurant is performing on one dashboard."
AI Agents Replace Manual Workflows
allO is launching what it calls "digital employees"-AI agents that handle specific operational tasks without requiring staff training on new software interfaces.
The first is a Reservation and Ordering Agent that answers incoming calls and pushes reservations and takeaway orders directly into the system. The company plans to release more than ten digital employees over the next 12 to 18 months.
Coming next:
- An Inventory Agent that autonomously places supplier orders and tracks consumption-work most independent restaurants currently abandon.
- A Menu Agent that updates menus across all channels in seconds while testing for margin and sell-through.
Cancan Liu, allO's founder and CEO, said: "Restaurant owners are the perfect user group for AI. They want the work done. They don't want to learn another piece of software. Most aren't tech-savvy, and they shouldn't have to be."
This approach differs from typical restaurant software, which adds another tool operators must learn. allO instead builds task-specific agents into its existing platform, reducing friction.
Why Independent Restaurants Were Underserved
allO started with ethnic cuisine, which represents roughly 70% of Germany's restaurants. Legacy POS systems weren't designed for multi-language teams, complex modifier menus, mixed dine-in and delivery channels, or varied payment behavior.
The company now expands to any restaurant with similar operational realities: complex workflows, chronic labor shortages, and tight margins.
Aslan, owner of Mozzamo, a four-location Munich group, said: "What impressed me most is how deeply allO connects data and workflows across our business. Letting a guest buy a gift card at one location and redeem it at another-it sounds obvious, but not even the big international chains can do it in Germany."
Board Additions and Next Steps
Elizabeth Chrystal, principal at Zigg Capital and former CFO of Momofuku, joined allO's board. Cornelius Everke (ex-management at Starbucks, Vapiano, and Burger King Germany) and Matt Baumgartner (ex-product director at Toast) joined the advisory board.
allO will use the new capital to expand across Europe and accelerate the rollout of its AI agents.
For operations managers evaluating restaurant technology, understanding how AI Agents & Automation can reduce manual workflows is increasingly relevant. Those in operations roles may also benefit from an AI Learning Path for Operations Managers that covers how AI-native systems reshape operational efficiency.
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