Additional Investment from Mitsubishi UFJ Capital — Total Funding Raised Expands to 153 Million Yen

Conducted as an extension of the pre-Series A round. To further accelerate enterprise deployment

SIGQ Inc. (pronounced "Sig-Q"; Headquartered in Tsukuba City, Ibaraki Prefecture; CEO: Takaaki Kanetsuki), the developer of "Incident Lake," an agentic AI platform specialized in incident management, is pleased to announce that it has received additional funding from Mitsubishi UFJ Capital Co., Ltd. as an extension of its Pre-Series A funding round. With this investment, the total amount raised in this round has reached 153 million yen.

Background of the Fundraising and Future Outlook: Urgent Need to Address the Rise in Incidents Amid the Evolution of Cloud Services and AI

As SaaS and cloud services become established as part of our social infrastructure, system failures (incidents) have become a significant risk that can have a major impact on business operations. In recent years, in particular, as systems have become more complex, the difficulty of responding to failures has increased, placing a growing burden on frontline staff.

Furthermore, while advancements in generative AI have boosted productivity, the increasing opacity of systems has made it harder to identify root causes and make decisions. In addition, concerns have been raised about the risks associated with the use of agentic AI, further complicating the process of troubleshooting. In many operational settings, decisions must be made based on scattered information, and the reality is that these processes are heavily dependent on individual expertise.

To address the challenges outlined above, we are developing "Incident Lake," an AI system specialized in incident management. "Incident Lake" is an autonomous AI that performs cross-domain analysis of information such as logs, historical response records, and chat logs to automatically identify root causes and propose response strategies. This enables faster and more sophisticated incident response.Currently, driven by the growing need among companies to enhance their incident response capabilities, inquiries about "Incident Lake" are on the rise, and consultations regarding its implementation are also increasing.

In light of these circumstances, we have raised funds with the aim of further accelerating our growth.

Through this funding round, we aim to accelerate the expansion of our enterprise-level adoption and product development, and by advancing our Go-to-Market (GTM) strategy, we aim to establish a next-generation incident management system centered on "Incident Lake."

Breakdown of Procurements

153 million yen

• Equity (123 million yen): Issuance of J-KISS-type stock options

• Debt (30 million yen): Long-term loan with no collateral or guarantees from the representative (backed by an association guarantee)

Investors (titles omitted, listed in no particular order)

・Mizuho Capital Co., Ltd.

・SMBC Venture Capital Co., Ltd.

・Mitsubishi UFJ Capital Co., Ltd. (joined as an additional investor in the extension round)

・Kenta Kurahashi (CEO, Prayed Inc.)

・Naoki Shibayama (Director, Plaid Inc.)

・Yuichiro Kuwano (Executive Officer and CGO, Plaid Inc.)

・Naoki Kuroda (Former Executive Officer, Money Forward, Inc.)

・Yusuke Shimomura (Former Executive Officer, PKSHA Technology Co., Ltd.)

・Ryosuke Igari (Former Director, TENTIAL Co., Ltd.)

・Hiroki Okada (Co-Representative, AX Tax Corporation / Certified Public Accountant)

・Yuki Irie (Co-Representative, AX Tax Corporation / Certified Public Accountant)

・Shinobu Miyahara (External Advisor, SIGQ Co., Ltd.)

Investor Comments

Takuya Sakaihara, Deputy General Manager, Investment Division II, Mitsubishi UFJ Capital Co., Ltd.

I believe that in the field of incident response, the need to track scattered reports and the reliance on individual judgment place a significant burden on management, making this an area with great potential for AI implementation.

SIGQ’s “Incident Lake” is a product designed to support the high-pressure environment of incident response by aggregating information from various tools via AI agents and proposing responses based on a database of past cases.

Representative Kanetsuki has deep expertise in both incident response and large language models (LLMs). He approaches every stage of the process—from defining challenges to product development—with a high level of precision, and we invested in the company because we are confident he can deliver solutions to our clients’ challenges.

We will continue to support SIGQ in realizing its vision for incident management.

Comment from Representative Director Takaaki Kanetsuki

The importance of IT systems is growing by the day, to the point where people’s daily lives would be impossible without them. At the same time, the impact of system failures is severe; in 2025, failures occurred in multiple large-scale services, including public infrastructure, causing widespread social disruption. In particular, operations managers—who bear the heaviest burden during incidents—are currently so overwhelmed with gathering information and assessing the situation that they are unable to devote sufficient time to making the necessary decisions.

"Incident Lake" provides an environment where managers can make the fastest and most accurate decisions by having AI agents handle the collection and analysis of scattered information. This enables managers to focus on high-value decision-making, contributing not only to improved productivity across the entire organization but also to minimizing societal disruption through rapid recovery from incidents.

With this funding round, we will further accelerate product development and our go-to-market strategy, commit to expanding our adoption in the enterprise sector, and shift our focus from the assumption that "incidents will not occur" to the more realistic premise of "how quickly we can recover when they do occur." We are committed to establishing "Incident Lake" as the new standard in incident management.

For more details on this press release, please refer to the following article on PR Times. We encourage you to take a look.

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SIGQ, developer of "Incident Lake," an Agentic AI platform specializing in incident management, secures additional funding from Mitsubishi UFJ Capital — Total funding raised now stands at 153 million yen