Becoming the "eyes" for SaaS companies in the field: MASO raises 81.5 million yen for its image analysis platform "MitteFlow"
MASO Inc. has raised 81.5 million yen in a seed round. The funds will be used for the development of "MitteFlow," a platform that integrates camera footage and generative AI for SaaS products, as well as for strengthening its installation/maintenance network and expanding its organizational structure.
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- 📰 Published: May 21, 2026 at 18:59
- 🔍 Collected: May 21, 2026 at 10:31
- 🤖 AI Analyzed: May 21, 2026 at 10:35 (3 min after Collected)
MASO Inc. (Headquarters: Shinagawa-ku, Tokyo; Representative: Takamitsu Arai, hereafter "MASO"), which provides "MitteFlow," a no-code integration platform utilizing camera footage and generative AI for SaaS companies, has raised a total of 81.5 million yen from several angel investors.
■ Background and Purpose of Funding
While office productivity has been greatly improved by various SaaS companies and AI, digitizing tasks performed in real-world "field" settings remains a challenge. Manual data entry is burdensome and faces limitations in accuracy and real-time capability. As a result, many SaaS companies face a "growth wall" in product differentiation, increasing average revenue per user (ARPU), and reducing churn rates.
Meanwhile, the rapid evolution of generative AI and multimodal technology has made it possible to deeply understand the "context of the field" from camera footage. However, there are significant technical and cost barriers for SaaS companies to build their own physical camera installation/maintenance and massive video analysis infrastructure.
To bridge this missing link between SaaS companies and the field, MASO provides "MitteFlow," a Video Backend as a Service that seamlessly integrates camera image analysis into existing SaaS products. We solve these challenges by supporting everything from image analysis to physical camera installation and maintenance.
■ Use of Funds
・Expansion of technical infrastructure: Development of a platform that fully utilizes camera and generative AI.
・Strengthening systems for nationwide rollout: Enhancing collaboration and quality control in the installation and maintenance network.
・Strengthening support systems: Expanding the CS team and advancing remote monitoring systems.
・Other: Recruitment and marketing.
Most of the raised funds will be invested in platform development to evolve "MitteFlow" into a backend infrastructure for SaaS, promoting a new society where operations are automated by software that "sees" the real world.
■ What is MitteFlow?
It is an image analysis platform that acts as a backend for SaaS, understanding "the current state of the field" using camera footage and generative AI, and connecting it to the next action.
■ Comment from Representative Takamitsu Arai
While technological progress, including generative AI, is accelerating, labor shortages are becoming serious across various industries. Many tasks, such as visual inspection and situation monitoring, still rely heavily on human eyes in the field.
By combining camera footage and generative AI, MASO aims to implement technology into society that complements or replaces the human eye, supporting the automation and sophistication of field operations. With this funding, we will strengthen our development and deployment structure for MitteFlow, contributing to solving more field-level challenges through SaaS companies.
■ Background and Purpose of Funding
While office productivity has been greatly improved by various SaaS companies and AI, digitizing tasks performed in real-world "field" settings remains a challenge. Manual data entry is burdensome and faces limitations in accuracy and real-time capability. As a result, many SaaS companies face a "growth wall" in product differentiation, increasing average revenue per user (ARPU), and reducing churn rates.
Meanwhile, the rapid evolution of generative AI and multimodal technology has made it possible to deeply understand the "context of the field" from camera footage. However, there are significant technical and cost barriers for SaaS companies to build their own physical camera installation/maintenance and massive video analysis infrastructure.
To bridge this missing link between SaaS companies and the field, MASO provides "MitteFlow," a Video Backend as a Service that seamlessly integrates camera image analysis into existing SaaS products. We solve these challenges by supporting everything from image analysis to physical camera installation and maintenance.
■ Use of Funds
・Expansion of technical infrastructure: Development of a platform that fully utilizes camera and generative AI.
・Strengthening systems for nationwide rollout: Enhancing collaboration and quality control in the installation and maintenance network.
・Strengthening support systems: Expanding the CS team and advancing remote monitoring systems.
・Other: Recruitment and marketing.
Most of the raised funds will be invested in platform development to evolve "MitteFlow" into a backend infrastructure for SaaS, promoting a new society where operations are automated by software that "sees" the real world.
■ What is MitteFlow?
It is an image analysis platform that acts as a backend for SaaS, understanding "the current state of the field" using camera footage and generative AI, and connecting it to the next action.
■ Comment from Representative Takamitsu Arai
While technological progress, including generative AI, is accelerating, labor shortages are becoming serious across various industries. Many tasks, such as visual inspection and situation monitoring, still rely heavily on human eyes in the field.
By combining camera footage and generative AI, MASO aims to implement technology into society that complements or replaces the human eye, supporting the automation and sophistication of field operations. With this funding, we will strengthen our development and deployment structure for MitteFlow, contributing to solving more field-level challenges through SaaS companies.
FAQ
Can MitteFlow be integrated into any SaaS product?
Yes, it is designed to seamlessly integrate video analysis capabilities into existing SaaS products.
Do we need to handle camera installation and maintenance ourselves?
No, MASO provides end-to-end support, including installation and maintenance.
How is generative AI used?
It is used to understand the "context of the field" from camera footage, facilitating data digitization and action-oriented insights.