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FastLabel
Offering an AI data platform that supports end-to-end data generation, version management, annotation automation, model experiment management, and MLOps construction
About FastLabel
Established in January 2020 by co-founders Takeshi Suzuki and Eisuke Ueda, FastLabel Inc. operates as a critical data partner for companies developing artificial intelligence. The firm addresses a significant bottleneck in AI development: the creation and management of high-quality training data. CEO Takeshi Suzuki, a software engineer with over 15 years of experience in scalable enterprise solutions and cloud-native technologies, co-founded the company based on the hypothesis that creating training data was a major obstacle to AI's societal implementation. This vision drives FastLabel's mission to create the AI infrastructure necessary to elevate Japanese industry to a world-class level.
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FastLabel provides an AI Process as a Service (AIPaaS) platform, offering comprehensive support for the entire AI development lifecycle. This encompasses data collection, annotation, model development, and MLOps. The company serves large enterprises and startups, including prominent names like Panasonic, Sharp, and NTT DOCOMO, across various sectors such as autonomous driving, medical AI, robotics, and manufacturing. Its business model combines professional services with product offerings. Revenue is generated through annotation outsourcing services and subscriptions to its integrated platform, which includes tools for dataset management, data annotation, and MLOps.
The core of FastLabel's offering is its AI data platform, designed to handle all types of unstructured data, including images, videos, and audio. It provides fast and highly accurate data annotation, or tagging, which is essential for training AI models to interpret data correctly. Features include real-time visualization, data analysis, and collaboration tools. The platform streamlines the time-consuming pre-processing stages of AI development by semi-automating annotation and offering robust data management capabilities. The company has successfully raised approximately $22 million over several funding rounds, with notable investors including Sony Innovation Fund, Salesforce Ventures, Panasonic, and Marubeni, reflecting strong confidence in its growth trajectory.
At a glance
- Status
- Operational
- Founded
- 2020
- Headquarters
- Tokyo, Japan
- Employees
- 39
- Open positions
- 7
- Dealroom signal
- 82.3/100
- Sector
- AI, Core AI, Autonomous Mobility, Computer Vision, Generative AI, MLops, genAI Model Maker, genAI Applications, AI Data Preparation and Generation, AI Model Training and Development, AI Applications
- Technology
- Artificial Intelligence, Big Data
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| DEBT✓Debt | Mar 2025 | $1.5M | — | Mizuho | ↗ |
| SERIES B✓Equity / VC | Sep 2024 | — | — | SBI Investment · Panasonic | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for FastLabel is 20K monthly website visits, up 66.7% over the last three months. FastLabel's team grew 14.7% over the past year.
Open positions
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Series A10 investors entered at this stage
JAFCO
Sony Innovation Fund
NTT DOCOMO Ventures
Genesia Ventures
SAFEY
Salesforce Ventures
MPower Partners
DBJ Capital
SBI Investment
Panasonic
Series B and later1 investor entered at this stage
Mizuho
Other known investors3 additional known investors
Incubate Fund
Panasonic Kurashi Visionary Fund
Safie Ventures
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about FastLabel on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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