Private Release of "SIGQ Incident Management," a Next-Generation AI-Powered Incident Management Tool, Begins

 SIGQ Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Takaaki Kanetsuki), a company specializing in the development of technical support solutions for incident management, is pleased to announce the private release of “SIGQ Incident Management,” an incident response support service powered by AI agents developed for enterprises.

Product Site: https://incidentlake.com

 Background and Challenges 

When operating web services, incidents are inevitable. However, the entire process—from making initial decisions when an incident occurs, to notifying relevant parties, investigating, responding, restoring service, and conducting a post-incident review—relies on sound judgment and the expertise of specific individuals.

　As a result, incident management has become a "black box" for many companies, with significant variations in response speed and quality.

 SIGQ's Approach 

Kanetsuki, the company’s CEO, has extensive experience in building and operating incident management systems as an SRE at several large SaaS companies. Leveraging this expertise, SIGQ has made “creating a reproducible incident management framework that prevents knowledge from becoming siloed ” a cornerstone of its business.

 What is SIGQ Incident Management? 

This service utilizes autonomous AI agents powered by LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) to provide the following features based on each company’s knowledge base.

•  Automated Initial Response Support in the Event of an Incident

•  Immediate communication with relevant parties and organization of meeting minutes

• Search for similar cases and response recommendations based on past incident knowledge

• Automatic Generation of Post-Mortem Drafts

• Proposal for a rapid response policy and draft notification for cases requiring compliance with laws and regulations, such as personal data breaches

Our goal is to reduce the cost of incident response—which previously required significant time and manpower— to as little as one-tenth of the original cost.

 Future Developments 

During this private release period, we will make the product available on a limited basis to several startups and enterprise companies facing challenges with incident response, and we will continue to enhance its features based on the feedback we receive.

Following the official release, we plan to roll out a multi-region deployment supporting Google Cloud and AWS US regions to provide our service globally. In particular, we are exploring collaborations and partnerships with local companies and startups to establish our AI incident support tool as a solution that can succeed in the U.S. market, where SRE culture is well-established.

[About SIGQ Co., Ltd.]

As a specialized incident management team focused on web services, SIGQ provides end-to-end support—from detecting issues, initiating initial response, and restoring services to developing and implementing measures to prevent recurrence. By taking a cross-functional approach that spans infrastructure, applications, and operational systems, we provide a response capability that goes beyond mere "firefighting" to deliver tangible business value.

We transform service reliability into a competitive advantage through SLO/SLI design, the use of monitoring tools such as Datadog, and the establishment and automation of response workflows. We go beyond mere incident response to cover recurrence prevention measures and the embedding of organizational knowledge, thereby supporting continuous improvement.