# Graphnetwork

> Graphnetwork is a VC fund in Tokyo backing Fashion, Machine Learning and Artificial Intelligence. See 2 investments, check sizes, portfolio. Updated Sep 2026.

- Type: VC Fund
- Location: Tokyo, Japan
- Total investments: 2
- Last investment: May 2018
- Lead investor: 0%
- Last updated: Sep 2026
- LinkedIn: https://www.linkedin.com/company/graphnetwork
- Website: https://www.graphnetwork.com/
- Facebook: https://www.facebook.com/graphnetwork/

Graphnetwork is a VC fund in Tokyo focused on Fashion and Machine Learning. Graphnetwork provides all services including design, system development, server development, everything involved in the site's start-up to up-and-running. By having one company taking care of these tasks, the client will save on extra cost and labor that usually entails when using multiple companies. We grow the website together with theclient and suggest most optimized, efficient way as possible.

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| Fashion | 2 | 100% |
| Machine Learning | 2 | 100% |
| Artificial Intelligence | 2 | 100% |
| Robotics | 1 | 50% |
| Robotic Process Automation (RPA) | 1 | 50% |

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Seed | 1 | 50% |
| Pre-Seed | 1 | 50% |

## Investments

| Company | Description | Amount | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| ANAP Lab | ANAP Lab provides machine learning, IoT, AI, and AR / VR technologies for fashion industry. | $180.2K | Pre-Seed | May 21, 2018 |  |
| ATLAB | ATLAB, a tech company, provides services and products with an innovative approach that focuses on the field of Robotic Process Automation. It uses machine learning, IoT, AI, and AR/VR technologies. Its technology is used in the fashion industry. Its services include EC comprehensive consulting business, EC comprehensive management servicebusiness, and system development business.It was founded in 2017 and is headquartered in Minami, Tokyo, Japan. | $180.2K | Seed | May 21, 2018 |  |

2 of 2 investments shown.

## Co-investors
- [STITCH Japan](https://shizune.co/investors/profile/stitch-japan) — VC Fund, 2 deals together

## Similar investors

### Similar industry
- [Antler](https://shizune.co/investors/profile/antler-be9c) — VC Fund
- [Forerunner](https://shizune.co/investors/profile/forerunner-ventures) — VC Fund
- [Right Side Capital Management](https://shizune.co/investors/profile/right-side-capital-management) — VC Fund

### Similar stage
- [Antler](https://shizune.co/investors/profile/antler-be9c) — VC Fund
- [Alumni Ventures](https://shizune.co/investors/profile/alumni-ventures-group) — VC Fund
- [Right Side Capital Management](https://shizune.co/investors/profile/right-side-capital-management) — VC Fund

### Similar country
- [Mitsubishi UFJ Capital](https://shizune.co/investors/profile/mitsubishi-ufj-capital) — VC Fund
- [SMBC Venture Capital](https://shizune.co/investors/profile/smbc-venture-capital) — VC Fund
- [ANRI](https://shizune.co/investors/profile/anri) — VC Fund

## Featured in investor lists
- [Fashion VC Funds in Japan](https://shizune.co/investors/fashion-vc-funds-japan)

## FAQ

### What does Graphnetwork invest in?

Graphnetwork invests primarily in Fashion, Machine Learning and Artificial Intelligence startups, most often at Seed and Pre-Seed stage. Most of the 2 investments tracked by Shizune back companies in Japan. The Investment Focus section breaks down every industry, stage and country in the portfolio.

### When did Graphnetwork last invest?

The most recent investment recorded for Graphnetwork closed in May 2018. Shizune tracks 2 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

### Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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