Video Analysis AI Company Asilla Adopts 'Incident Lake', an Agentic AI Specialized in Incident Management

SIGQ Inc. (Tsukuba, Ibaraki; CEO: Takaaki Kanetsuki), developer of the incident management-focused Agentic AI 'Incident Lake,' is pleased to announce that Asilla, Inc. (Machida, Tokyo; CEO: Tsuyoshi Onoue), a company providing products utilizing proprietary video analysis AI, has implemented 'Incident Lake' and its associated professional services.

Background and Challenges: Knowledge Silos and Language Barriers Due to Rapid Growth Asilla leverages proprietary behavior recognition AI based on deep learning, offering products like 'AI Security Asilla,' which can be deployed by simply connecting an edge AI server to existing security cameras. As the business expanded rapidly, the following challenges emerged in the operation of their cloud infrastructure and edge AI servers: - Incident response and monitoring knowledge tended to become siloed across different business and product teams. - Language barriers between Japan and Vietnam created overhead, acting as a bottleneck for development and incident response. - A need to strengthen operational structure and quality to further scale the business.

Implementation Effects: AI-Driven Knowledge Automation and On-Site Support To address these issues, Asilla implemented 'Incident Lake' and SIGQ's professional services, resulting in the following benefits: - Utilizing Incident Lake as a common platform across teams to smoothly share incident knowledge. - AI instantly shares analysis results and discussion content in multiple languages, reducing translation effort and misunderstandings caused by language barriers. - Leveraging professional services to gain operational expertise, facilitating further business scaling, including international operations.

Comment from Masahiro Wakasa, CTO of Asilla, Inc. 'Regarding incident response, we felt a sense of urgency to automate as much as possible and evolve into an operational organization where humans can make decisions quickly. 'Incident Lake' features a UX that minimizes manual information entry, allowing us to integrate it into our operational flow smoothly while reducing resistance from team members toward new tools.

Furthermore, regarding SIGQ's professional services, I was honestly surprised that they joined our team even before the official support began and provided various improvement proposals. Thanks to their dedicated support, I am convinced that this is a necessary service for strengthening our operational structure. We look forward to absorbing the insights gained from their professional services and Incident Lake to build an even more reliable service.'