BOTINKIT不停科技
LatestSeries B++ (B+ and B++ combined nearly $50M, Apr 2026)
Undisclosed (about $70M cumulative disclosed funding, per RobotToday)
Shenzhen Buting Technology Co., Ltd. (BOTINKIT)
A global leader in AI digital kitchen solutions, deployed in 29 countries with 10,000+ recipes; self-developed Restaurant-LM, the world's first store-level foundation model; RaaS model
数据截至2026-08-19
About
BOTINKIT was founded in Shenzhen in January 2021 by Chen Rui, a former senior technical expert at Alibaba, and is a global provider of AI digital kitchen solutions. With the OMNI smart cooking workstation as its core hardware, plus its self-developed Restaurant-LM (the world's first store-level foundation model), Perspect AI quality control and a matrix of AI digital employees, it serves global restaurant chains under a RaaS model, solving pain points such as consistency of output and chef shortages. Its cloud recipes span 30+ cuisines and 10,000+ dishes, its products are deployed in 29 countries and regions, and customers include giants such as Disney, Jollibee, Walmart, Rewe and LSG. Its funding pace has been extremely fast, completing Series B, B+ and B++ within half a year (B+ and B++ together nearly $50M), with about $70M in total disclosed funding.
Technical Approach
With the OMNI cooking robot at the core, layered with the Restaurant-LM store foundation model and an AI Agents + Robotics super digital-employee matrix, it pursues a RaaS (Robot-as-a-Service) model. Its real-machine data collection system combines active and passive approaches with multimodal fusion: an intent-sensing and control engine actively collects human cooking behavior data while vision modules passively collect data on ingredient changes, building triple long-term moats across scenarios, data and ecosystem.
Commercialization（5）
- Deployment footprint: 29 countries worldwide (as of Apr 2026)
- Customer matrix: batch deployments by global F&B, retail and hospitality giants including Disney (Disneyland), Jollibee, Walmart, Rewe, Foodstuffs, Uncle Roger and LSG (in-flight catering)
- Ecosystem partners: nearly 100 leading local business groups and industry ecosystem partners worldwide, plus about 100 local distribution and system-integration partners
- Recipe scale: 10,000+ dishes across 30+ cuisines
- Business goal: break the boundaries of the restaurant with the RaaS model, turning idle space into a second growth curve with high revenue per square meter and high margins
Position & Strengths（6）
- Scenario first-mover: defines cooking as a super scenario for Physical AI, with a market potentially larger than mobility
- Triple moats: proprietary scenarios + real-machine data flywheel + software-hardware technical barriers + global content ecosystem
- Model leadership: Restaurant-LM, the world's first store-level foundation model, with AI Agent-driven kitchen orchestration
- Globalization lead: deployed in 29 countries and adopted in volume by global giants; outstanding go-global capability
- Fast funding pace: Series B, B+ and B++ completed within half a year, showing strong capital endorsement
- RaaS model: centered on services rather than equipment sales, with high customer stickiness