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MASO

Category: Computer Vision

Japanese startup providing MitteFlow, a no-code AI image analysis platform that connects camera feeds to existing SaaS workflows for industrial and commercial use cases. MASO was founded in 2024. The company is led by Takamitsu Arai (荒井貴光). Based in Shinagawa, Tokyo, Japan. Team size: 1-10. Total funding raised: $530K. Latest round: Seed. Key investors include Multiple angel investors (names undisclosed).

Founded
2024
Headquarters
Shinagawa, Tokyo, Japan
Team size
1-10
Total funding
$530K

Value proposition

Video Backend as a Service — enables SaaS companies to add camera-based AI image analysis to their products without building the infrastructure themselves, covering everything from camera installation to AI analysis and maintenance.

Products and solutions

MitteFlow (ミッテフロー) — Video Backend as a Service (VBaaS): no-code AI image analysis platform that connects camera feeds to existing SaaS products. Features: real-time generative AI/multimodal analysis, seamless SaaS integration, camera installation & maintenance support, Slack/Webhook/API/RAG notifications.

Unique value

Only solution combining no-code camera AI analysis with full-stack physical installation and maintenance support, positioned as "Video Backend as a Service" for existing SaaS platforms.

Target customer

SaaS companies (B2B) in industries such as food service, manufacturing, logistics, and elderly care who want to add camera-based AI analysis as a premium feature to their existing products.

Industries served

Food service (restaurants), Manufacturing (factories), Elderly care facilities, Retail, Logistics, Sports events

Technology advantage

Generative AI + multimodal technology for human-like image understanding; no-code integration with existing SaaS; end-to-end support from camera installation to maintenance; real-time analysis with action triggers (Slack, Webhook, API, RAG).

How they differentiate

Unlike pure software AI analysis tools, MASO provides end-to-end service including camera hardware installation and maintenance, combined with no-code generative AI analysis that integrates directly into existing SaaS backends — making it a "Video Backend as a Service" rather than just another image analysis API.

Main competitors

monolyst株式会社 (AI image analysis for manufacturing), 株式会社エーエヌラボ (AN Lab — computer vision solutions), Traditional SIer-based camera analytics providers

Key partnerships

MODE, Inc. (AI Partner Program — integration with BizStack IoT data platform), Rococo Co., Ltd. (cycling competition lap detection PoC with 99% detection rate)

Notable customers

Rococo Co., Ltd. (cycling competition PoC partner), MODE, Inc. (integration partner)

Major milestones

Founded June 2024, First PoC with Rococo Co. at All Japan Cycling Track Championships (Dec 2025, 99% detection rate), Joined MODE AI Partner Program (Jan 2026), Seed round of ¥81.5M (~$530K) from angel investors (May 2026)

Market positioning

Early-stage Japanese startup carving a niche as "Video Backend as a Service" for SaaS companies, differentiating through no-code integration and full-stack physical deployment support.

Geographic focus

Japan (domestic focus, with potential for Japan-based SaaS companies expanding regionally)

About Takamitsu Arai (荒井貴光)

Ex-Panasonic Corporation; Ex-i-PRO Co., Ltd. (Panasonic group security/surveillance camera business). Graduated from Kyoto University, Faculty of Economics.

Official website: