As the use of generative AI expands across corporate activities, what determines competitiveness is not which AI tools are used, but what data can be utilized.
While generative AI can reference publicly available information on the internet, it cannot inherently and continuously acquire company-specific primary information on its own—such as who a company’s employees have met with, which companies it has transacted with, or what kinds of contracts it has entered into. To fully unlock the value of generative AI, such primary information must be properly structured, normalized, and readily available for use.
We have a structure that inherently and continuously acquires primary information tied to corporate activities, which serves as a strength shared across all of our solutions. In addition, as a management foundation that maximizes this value, we have built technologies for digitizing analog information, a strong sales organization and customer base, as well as extensive marketing expertise and high brand awareness. By combining these elements, we create a solid competitive advantage even in the generative AI era.
Generative AI is unable to continuously acquire company-specific primary information on its own. Therefore, the outcomes of AI utilization are primarily determined by how much accurate primary information is available and how effectively it can be utilized.
What is common across our solutions is that they are structurally positioned to capture primary information generated at the very starting points of core business processes within corporate activities. Because our solutions are deeply embedded in day-to-day business processes—such as sales, accounting, and legal—primary information tied to corporate activities is inherently and continuously acquired and digitized each time they are used to improve operational efficiency.
We digitize, normalize and structure analog information with high accuracy through a proprietary digitization process refined through years of practical application. This process combines machine learning-powered AI preceding generative AI*, rules, and humans.
In data digitization domains where a high level of accuracy is required, generative AI alone cannot consistently achieve the same level of quality due to its tendency to fill in blanks and omissions. We build on machine learning-powered AI and rigorous rule-based logic, and combine them with human checks to achieve highly accurate digitization. In addition, we have developed Viola and Cello, our proprietary generative AI, and leverage them as a supporting technology to further enhance both accuracy and efficiency.
* Image processing and natural language processing
We accumulated SaaS sales expertise and built a strong sales structure that drives the expansion of our solutions.
Backed by this sales capability, we established a solid customer base centered on mid-sized and large enterprises with substantial revenue scale.
We have established high brand awareness in the B2B space through marketing activities, including TV commercials.
Building upon this brand awareness, we have accelerated the market penetration of our solutions, and achieved the No. 1 position in revenue share for our core solutions.
** Latest Trends in Business Card Management Services in Sales Support DX 2026 (January 2026, surveyed by Seed Planning)
*** Deloitte Tohmatsu MIC Research Institute, "The Market of Cloud Invoice Receiving Services Entering a New Phase Through AI Utilization" (MIC IT Report, December 2025)
