China’s Acorn Robot Secures Angel Funding, Unveils ‘Instinctive’ Physical AI Model

Insider Brief

  • Acorn Robot raised an angel round to develop Natus AGE-0, a tactile-focused physical AI model the company says can enable robots to begin factory work without large pre-training datasets.
  • CM Venture Capital and Nio Capital led the round, with participation from the Shuimu Tsinghua Alumni Seed Fund, about four months after Acorn raised nearly 100 million yuan, or about $15 million, in seed funding.
  • The Chinese startup is developing standardized dual-arm production cells for flexible manufacturing and is pursuing a Manufacturing-as-a-Service model rather than one-off custom integration projects.

Acorn Robot has raised an angel funding round to further develop a general purpose tactile-focused physical AI model the company says will allow robots to hit the factory floor with no pre-training data.

The angel round was led by CM Venture Capital and Nio Capital, with participation from the Shuimu Tsinghua Alumni Seed Fund, according to Gasgoo. The financing came about four months after Acorn raised nearly 100 million yuan, or about $15 million, in a seed round in March, bringing its total funding to several hundred million yuan.

According to Nio Capital, the Chinese embodied intelligence startup is expected to use the funding to support further development of its Natus model, product research and development, brand building and expansion of its commercialization team.

Founded in late 2024, Acorn is developing robot systems for flexible manufacturing, where production lines must frequently adapt to different products, materials and operating conditions. The company’s team is made up of researchers and engineers from Tsinghua University and Harvard University with backgrounds spanning mechanical engineering, neuroscience and artificial intelligence.

“We are not building a ‘specialist athlete’ that outperforms humans in speed, but an ‘all‑round athlete’ that adapts quickly to a wide range of tasks — solving the pain points of flexible manufacturing through extreme generalisation,” founder Jiang Yao said in the announcement.

Natus AGE-0

Alongside the financing, the company introduced Natus AGE-0, a foundation model for robot manipulation that uses tactile sensing and contact mechanics as central inputs. The technology is being touted as as an alternative to approaches, such using vison-language-action models, that depend heavily on large collections of demonstration data and are difficult to scale.

Natus AGE-0 is designed to begin operating without a large pre-existing training dataset, according to Nio Capital. Instead, it uses tactile information and physical interactions with objects to guide manipulation and build experience as the robot operates.

Acorn describes the approach as “instinct-driven,” with basic physical responses forming the starting point for more complex learned behavior. The company said the model can adapt across different hardware, materials and tasks without collecting a new dataset for each application, although those claims will depend on broader performance in production environments.

The company is developing standardized dual-arm production cells built around its own vision and tactile sensors, end effectors and Natus software. Rather than selling individual components, Acorn said it is exploring a Manufacturing-as-a-Service model that would provide complete flexible-production systems.

Business Approach

Acorn said it has deliberately avoided high-margin custom integration work, focusing instead on standardized products that can be deployed across multiple customers rather than one-off factory projects.

“We prioritise closing the business loop first — making technology valuable enough that customers are willing to pay,” Jiang added. “As our standardised hardware and models are deployed on more production lines, we naturally accumulate the most authentic, relevant, and valuable industrial interaction data, fuelling a sustainable iterative cycle.”

Initial target markets include consumer goods, daily chemical products and food manufacturing, where production lines often handle many product variations and shorter manufacturing runs.

Nio Capital noted the company recently completed a proof-of-concept project on a production line for a global cosmetics original-design manufacturer and generated revenue from the deployment. The company did not disclose the customer, contract value or other financial details.

Image credit: Nio Capital

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