AI Bots startup raises $11 million in funding, focused on building scalable foundational models

A startup focused on a Bots intelligent platform recently announced the completion of a $11 million financing round and officially debuted on the demo day of a well-known venture capital firm's crypto startup accelerator. This round of financing was led by the accelerator, with multiple institutions and angel investors participating.

This startup was co-founded by two experienced founders in the fields of Bots technology and decentralized technology. Their goal is to build and expand foundational models that provide the core driving force for breakthrough advancements in the field of physical generative artificial intelligence.

Despite the continuous influx of venture capital, the physical artificial intelligence and Bots industry has been unable to establish an effective data incentive mechanism. To address this issue, the company is developing an industry-first fair use standard: to allow the data generated by driving models to generate profits and return these profits to the data producers.

The co-founder and CEO of the company stated: "The scalability issues of visual datasets are limiting breakthroughs in Bots technology. We are creating an ecosystem that generates datasets containing a variety of scenes, with universality far exceeding centralized data. This ecosystem will enhance data scalability and reduce data collection bias. Through a decentralized incentive mechanism, we will pave the way for fully autonomous Bots. Our platform will make artificial intelligence a collaborative tool for humanity rather than a replacement."

The company's three major advantages in the Bots industry include:

1. Data: Build protocols and mechanisms to verify and incentivize the development of large-scale visual data, improving the scale, accuracy, and reliability of Bots datasets.

2. Remote operation: Establish a unified standard for remote operation, providing one-stop service access, payment solutions, and software support, allowing Bots companies to focus on developing their own strengths.

3. Model: Collaborate with leading AI teams to build models that drive increasingly autonomous Bots, enhancing operator efficiency and data collection quality.

These links will form a virtuous cycle: large-scale data will optimize the foundational model, improve remote control efficiency, promote the collection of more real-world data, and construct a complete data feedback loop.

Currently, physical artificial intelligence and Bots companies are investing significant resources to expand remote operation teams, but progress is limited. The company will help AI companies quickly scale up by developing a robust standard platform for remote operations, while avoiding redundant investments.

In the long term, the company believes that humanoid Bots have the potential to play a role in various fields, such as household chores, catering, and healthcare. This round of financing will be used to expand the team, improve remote operation standards, and expand data collection channels.

In the short term, the company plans to attract AI enthusiasts to participate in data collection challenges and provide rewards for their contributions. In the long term, the company will build a bridge between Bots and mainstream application markets by integrating both supply and demand.