AtomBite.AI Unveils Flexible Manipulation Robotics Designed to Solve the “Grasping Problem” in Commercial Kitchens

Submitted Announcement

The model addresses a critical pain point for restaurant operators squeezed by rising labor costs and high turnover.
3.24.2026

AtomBite.AI, an artificial intelligence application company building foundation models for flexible manipulation in commercial robotics, today announced its official launch and the introduction of its first commercial product: the M1 Takeout Packing Robot. The company aims to automate the chaotic “last meter” of food delivery fulfillment for the global restaurant industry.

AtomBite.AI acts as the cognitive software layer—the “AtomBite Brain”—for robotic systems operating in highly unstructured environments. Rather than building proprietary hardware from scratch, the company utilizes a proprietary dual-model architecture that enables existing robotic hardware to handle non-standard, unpredictable items such as crushed paper bags, leaking soup containers, and receipts in real-time.

“The robotics industry has spent years trying to build the perfect mechanical hand, but the real bottleneck in commercial kitchens is cognitive,” explains Dr. Dong Wang, CEO of AtomBite.AI. “We decided to stop building hands and start building the brain. Our dual-model architecture provides both the generalization capability to handle edge cases and the engineering reliability required for stable, high-speed delivery in real-world environments.”

The M1 Takeout Packing Robot targets a massive global market of 15 million restaurants, with over 8 million offering takeout services. AtomBite.AI deploys the system via a zero-upfront-cost Robot-as-a-Service (RaaS) business model, transforming heavy hardware procurement into a lightweight monthly operational expense of $2,200 to $2,900.

This model addresses a critical pain point for restaurant operators squeezed by rising labor costs and high turnover. According to industry data from Black Box Intelligence, the hard costs associated with replacing a single hourly non-management employee average $2,700 . By replacing a full-time packing employee and recovering refund losses through AI visual verification, the M1 robot yields a net monthly benefit of $1,100 to $2,825 for a typical North American restaurant processing 100 takeout orders daily.

To build a system capable of processing this level of chaos, AtomBite.AI has assembled a founding team with deep expertise in large-scale logistics algorithms and physical AI. The leadership team includes CEO Dr. Dong Wang, Head of Data Dr. Tao Li, and Head of Commercialization Steven Li, who was previously recognized on the Forbes China 30 Under 30 list . The team brings extensive experience from managing complex, large-scale delivery networks and algorithmic dispatch systems at leading global food delivery platforms.

AtomBite.AI’s long-term product roadmap is structured to progressively conquer more complex environments. The company plans to expand from takeout packing (M1) to kitchen operations (M2), delivery handoff (M3), and ultimately develop a Universal Hand for embodied AI applications across micro-fulfillment and e-commerce returns.