Don't Leave Employee Success to Managers Alone: Boost Health Raises 150 Million Yen to Eliminate "Dependency on Individuals" in Human Capital Management

Boost Health, provider of the next-generation management model service "BOOST," has raised 150 million yen in a seed round led by Genesia Ventures and WPower Fund. The company aims to use the funds to advance its AI products and strengthen its support systems for enterprise clients, focusing on increasing the ratio of autonomous talent to drive corporate value in the AI era.
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  • 📰 Published: March 30, 2026 at 05:11
Don't leave employee success to managers alone. Boost Health, which eliminates the "dependency on individuals" in human capital management, raises 150 million yen.

Boost Health Co., Ltd. (Headquarters: Chuo-ku, Tokyo; Representative Director and CEO: Ayaka Haga), which provides "BOOST," a service that implements the next-generation management model "Talent Success," has raised a total of 150 million yen through a third-party allotment of shares with Genesia Ventures and WPower Fund as underwriters. The cumulative amount raised reached 250 million yen. The seed round included participation from Incubate Fund and DG Incubation.

With this funding, we will promote the advancement of AI products and strengthen our support system for introducing the service to enterprise companies (sales and customer success).

[Background] Why is investment in human resources becoming a management issue now?

With the spread of AI, the roles required of people in companies are changing significantly.

As routine tasks are automated, humans are increasingly required to exercise autonomous judgment and creative problem-solving. As a result, a company's competitiveness is now largely determined by "how many people can act autonomously."

Therefore, we define the human contribution to corporate value as follows:

Corporate Value (Human Contribution) = Strength of Management Structure × Ratio of Autonomous Talent

Factor decomposition of corporate value (human contribution)

Companies have made progress in investing in their "management structure," such as organizational design and evaluation systems. However, can we say that sufficient investment has been made to increase the "ratio of autonomous talent"—that is, ensuring employees can act autonomously and produce results?

This issue is becoming even more important in the AI era. Organizations with a low ratio of autonomous talent will have their jobs taken by AI, while those with a high ratio will use AI as a weapon to expand their competitive advantage.

So, how do we increase the ratio of autonomous talent?

To increase the ratio of autonomous talent, in addition to appropriate hiring, investment to ensure that existing employees "perform with high reproducibility" is essential. The accuracy of this human success support depends on three factors: Quality of intervention/support (Q), Individual optimization (P), and Reproducibility (R).

For example, suppose there is a very caring boss. They provide appropriate advice in 1-on-1s and encourage action. The quality of intervention and individual optimization are both high, but reproducibility is low. If that person moves, the support disappears, and it's difficult to spread throughout the entire organization. On the other hand, training can ensure reproducibility, but there are limits to individual optimization.

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