Embodied intelligence startup ZhiJian Power closed five funding rounds within six months, raising a total of 2 billion yuan.

Today, Simplexity Robotics announced that it has completed five consecutive funding rounds in less than six months, with total financing reaching 2 billion RMB — a new record for the embodied intelligence sector and making it the youngest unicorn in the field to date. Gaorong Ventures recently led its latest round.

Simplexity Robotics' investor roster now includes financial institutions such as Yuanjing Capital, BlueRun Ventures, HSG, Legend Capital, CASSTAR, and Gaorong Ventures, as well as strategic tech ecosystem investors including a top-tier internet giant and Alibaba.

Building Embodied Intelligence Products with High User Value

Simplexity Robotics (至简动力) is an innovative technology company that starts from real-world scenarios and is committed to building embodied intelligence products with high user value through high-ceiling unified models, efficient data flywheels, and highly reliable robot hardware — ultimately empowering the future of humanity.

"Simple is Scalable" — the core philosophy of "the greatest truths are the simplest, and simplicity governs complexity" runs through Simplexity Robotics' technical architecture and product design. The company insists on simple yet scalable methodologies to crack the complex challenges of embodied intelligence.

Full-Stack In-House R&D to Build Technical Moats

Simplexity Robotics adheres to full-stack in-house development of both software and hardware, adopting a model-defined-body, software-defined-hardware approach to build a concise and efficient technical system centered on the "Four O's" (one model, on device, one body, one hour).

The company has developed an integrated world model and VLA (Vision-Language-Action) model that uses a unified Transformer to jointly model and generate predictions across language logic, visual semantics, 3D spatial structure, and robot state — achieving a higher-ceiling model architecture while reducing human design and enabling better scaling effects. To date, Simplexity Robotics has introduced:

(1) LaST₀ Foundation Model: The first to integrate world model understanding and prediction of the physical world with VLA's fast-and-slow thinking, significantly enhancing efficient reasoning about physical world dynamics and solving the problem of how robots "think while moving quickly";

(2) ManualVLA Long-Horizon Task Model: Built on the powerful LaST₀ foundation, ManualVLA addresses how to make robots understand complex long-horizon tasks, enabling the model to automatically generate multimodal "operation manuals" similar to those used by humans — starting from goal states to answer the question of how robots "think clearly before acting" (this paper has been accepted to CVPR 2026);

(3) TwinRL Real-World Reinforcement Learning Framework: When the model possesses reasoning and execution capabilities, the final key is enabling it to continuously evolve in the real world for true deployment. TwinRL expands the exploration space of real-world RL through digital twins, achieving 100% success rates in tabletop regions across multiple tasks in under 20 minutes — solving the challenge of "how to make robots get stronger on their own in the real world."

(Additional model research results will be released progressively.)

On the product side, Simplexity Robotics equally insists on radical simplicity — simple to deploy, simple to use, simple to maintain. For the company, radical simplicity reflects a user-value-centric approach: thinking more for users. Time is the ultimate cost, and users shouldn't pay for complexity. Simplexity Robotics' first-generation self-developed robot body has already entered small-batch production and begun PoC validation.

Systematic Capability Driving Efficient Full-Chain Execution

Since its founding, Simplexity Robotics has achieved rapid breakthroughs across all fronts at an extraordinary pace. From its first employee onboarding to the debut of its self-developed prototype, the company took just 45 days.

The company has established a three-city strategic presence in Beijing, Shanghai, and Suzhou, built joint labs with top universities, launched its Global Innovation Center in Suzhou, and continued advancing model R&D while translating it into product capabilities. It has completed two generations of robot bodies targeting both B2B and consumer markets, achieved small-batch production, and fully initiated PoC validation.

As Simplexity Robotics CEO Peng Jia puts it, "Systematic capability is our differentiation." The mass production and deployment of embodied intelligence products is a systematic battle requiring integrated strategy, technology, branding, product, organization, and commercialization. The company's core team brings market-proven, extreme systematic execution capabilities, positioning it to efficiently integrate resources and drive efficient full-chain execution.

Accelerating Multi-Scenario Scaled Application

For deployment scenarios, Simplexity Robotics follows a progressive iteration path from closed to semi-open to fully open environments, first targeting closed settings such as factory floors, supermarkets, and logistics. The funds raised will be fully invested in training foundation models, robot body R&D and iteration, data collection, and core algorithm development — accelerating the scaled application of embodied intelligence technology across multiple scenarios.

Going forward, the company will expand from factories to manufacturing and services, and from domestic to overseas markets. It will continue pushing technological innovation and industrial ecosystem partnerships, empowering the scaled deployment of embodied intelligence through technological innovation, and helping China secure a leading position in global general intelligence and robotics.