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BUSINESS MODEL

Designing Reliability

We will expand our business across a wide range of areas, with the provision of the Agentic AI Incident Lake at the core of our operations. However, we do not intend to stop at simply providing tools; we will grow by offering hands-on support that accompanies our clients over the long term, helping them prevent and assess system failures within their organizations and drive continuous improvement.

We are a company dedicated to supporting those who enhance system resilience through the combined power of people and AI. We provide multifaceted support tailored to what is truly necessary from a business management perspective. 

OUR SERVICES

Agentic AI Platform

Incident Lake

The "Incident Intelligence Layer" consolidates scattered operational data to dramatically accelerate decision-making.
It transforms tacit knowledge within an organization into explicit knowledge, streamlining incident response.
Incident Lake is an autonomous AI agent specialized in incident management that supports rapid, repeatable decision-making and stable operations.

・Monetization of organizational knowledge
・Standardization of response procedures
・Automation of initial response
・Visualization of management decisions
・Identification and analysis of potential risks
・Integrated connectivity with existing systems
・Internal controls and audit trail management
・Establishment of an emergency response system

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End-to-End Incident Response

Incident Response Support

We provide end-to-end support covering the entire incident lifecycle—from prevention to incident response and ongoing process improvement.

・Current Status Assessment (Assessment)
・Improvement Proposals
・Implementation Support (Coaching)
・Development of Preventive Measures
・Sustained Adoption (Enabling)

Continuous Reliability Improvement

Continuous Improvement in Reliability

We establish systems to continuously improve reliability, including post-incident reviews, SLO design, and monitoring enhancements. We set up an infrastructure compatible with the
to support data-driven improvements, such as analyzing failure trends and optimizing alerts.

・SLA, SLO, and SLI design and operational support
・Monitoring system implementation and optimization
・Failure risk and trend analysis
・Incident response workflow development
・Post-incident review support

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