虎嗅

**"Embodied Technology is Almost Being Killed by Overvaluation"**

原文:具身快被估值玩死了

Summary of Key Points

The family-friendly robot company "Future is Not Far" has completed three rounds of financing within half a year (Pre-A+, Angel, and additional Angel rounds), raising nearly 1 billion yuan in total, with industry players such as ByteDance investing. The company relied on its own funds for research and development in the first three years, choosing to avoid the "fast-paced race" of early-stage financing and focusing on the consumer (ToC) home market rather than the business (ToB) sector. Founder Zhang Yi (formerly the CEO of an education company) emphasized that they would not seek funding until the product was ready. They are currently using a leasing model to test the market, with a payback period of 8 months and a renewal rate of over 90%. Zhang Yi also pointed out common pitfalls in the industry, such as relying on PPTs for financing, showcase-style demonstrations, and focusing on ToB sales just to meet targets. Home robots face significant challenges in terms of hardware consistency and stability, and their core competitive advantages lie in genuine household data and a time barrier.

1. Financing Strategy: "Slow is Fast" – Going Against Industry Conventions

Most robot companies follow a path of forming teams, creating demos, and quickly raising funds to target ToB revenue and increase their valuation. However, Future is Not Far takes a different approach: they did not use any external capital in the first three years, investing all their own funds in research and development. Zhang Yi believes that the most valuable asset for a startup is the freedom to explore, as being tied to capital can prevent them from focusing on difficult but essential tasks.

They only started financing last year when their product was stable enough for home trials and users were willing to pay. The investors they chose are not just financial backers but also industry players with relevant expertise, such as ByteDance (in AI technology), Inovance (in supply chain management), and Nais (in home appliance distribution channels). Their strategy is to wait until the product is ready for market launch; otherwise, early funding could force them to shift to ToB sales, which may not be suitable for consumer products.

2. Industry Pseudo-Implementation: Uncovering Three Major Issues

Despite billions of dollars flowing into the robotics sector, there are few real, practical applications. Zhang Yi identified three common issues:

  • PPT Financing: Early-stage financing often relies on impressive resumes and conceptual PPTs, leading to companies that are more about showing off than on providing actual, functional products.
  • Showcase-style Deployment: Robots can only function properly in controlled environments like exhibition halls, failing in real-life settings. For example, many robots work smoothly on the first day but stop working by the second day at conferences, and "mass production" often means selling a few dozen to companies for display purposes.
  • Focusing on ToB for Short-term Success: Claims of selling thousands of units often include industrial or commercial orders, not consumer-grade products. This creates a bubble where capital supports sales to inflate valuations.

3. Overcoming Challenges in the Home Robot Market

The home market is much more complex than the industrial or commercial markets. Future is Not Far needs to overcome four key challenges:

  • Hardware Consistency: Even minor differences in parts or assembly errors can render algorithms ineffective. Ensuring consistency is crucial for mass production.
  • Stability of Hardware and Software: Consumer-grade products must be affordable, so algorithms are used to compensate for any shortcomings in hardware (e.g., improving motor precision or temperature control).
  • Adaptation to Home Environments: Robots must work well in various home settings, including different layouts and network conditions.
  • Real-world Testing: Extreme cases (e.g., messy or cramped homes) must be addressed to ensure reliability.

4. Business Model: Leasing as a Pilot

Future is Not Far is using a leasing model to build trust with customers. The hardware cost is recouped in about 8 months, with a high renewal rate. They are currently serving only the Jiangsu, Zhejiang, and Shanghai regions due to higher maintenance costs in Beijing. Why not sell directly?

  • Lowering the Bar to Entry: The initial price of 36,000 yuan is affordable for high-net-worth households, and leasing allows customers to test the product before making a purchase.
  • Testing Market Demand: Leasing helps gather real data to improve the product. They plan to combine leasing with direct sales; once sales increase (e.g., to hundreds of thousands of units), costs can be reduced, making the product more accessible to the general public.

5. Core Competitive Advantages: Uniquely Sustainable Factors

Zhang Yi believes that the real competitive advantages of home robots lie in the following areas:

  • Genuine Household Data: Standardized factory data is insufficient; real household data is essential for developing accurate algorithms.
  • Time Barrier: Optimizing hardware and software requires time and experience, which competitors cannot quickly catch up with.
  • Understanding Consumer Needs: Their experience in the education sector helps them understand consumer preferences and conversion rates, which are difficult to replicate.
  • Supply Chain Selection: Using consumer-grade components from the start ensures lower costs as production scales.

6. When Will the Robot Industry Reach its "iPhone Moment"?

Zhang Yi predicts that the widespread adoption of home robots will take about 20 years, but there will be milestones along the way, such as the establishment of a viable business model and widespread consumer acceptance. The robot industry is waiting for a "killer feature" that makes robots indispensable. For startups entering now, it's crucial to think differently from the norm—either focus on solving real problems or avoid following the crowd.

The biggest mistake is to try to build a robot first and then find a use case; the correct approach is to identify a practical use case first and then develop the appropriate robot.

This analysis provides a thorough insight into the industry's challenges, real-world difficulties, and company strategies. The key message is that home robots are not just conceptual ideas; they need to address real user needs to succeed.