Idea
AI-driven multi-agent platform improving Site Reliability Engineering (SRE) diagnostics accuracy and operational efficiency at scale.
Research Paper
Core Innovation
This paper introduces OpenDerisk, a specialized multi-agent framework tailored for SRE diagnostic workflows. It uniquely combines a diagnostic-native collaboration model, pluggable reasoning, and knowledge engines with a standardized protocol to enable coordinated problem solving, outperforming prior AI and multi-agent approaches in accuracy and efficiency.
Why It Matters
Modern software complexity overwhelms SRE teams with diagnostic challenges, causing delays and errors. OpenDerisk automates expert-level reasoning to reduce manual effort and improve problem resolution speed. Its scalable design supports large enterprises, transforming SRE workflows and reducing downtime risks.
Market Size (TAM)
$2–10B TAM for AI-driven SRE automation platforms; $500M–$1B SAM from large enterprises and cloud providers. Driven by increasing software complexity and demand for operational efficiency.
Potential Customers & Pain Points
- Large enterprises with complex software – High operational burden on SRE teams
- Cloud service providers – Need faster accurate incident diagnosis
- DevOps teams – Require scalable AI tools for reliability
- IT operations – Struggle with multi-domain problem solving.
Business Model
Open source core with enterprise-grade paid support, customization, and integration services targeting large organizations and cloud providers.
Competitive Landscape
- PagerDuty
- Splunk
- Moogsoft
- BigPanda
Implementation Challenges
- Integration complexity with existing SRE tools and workflows
- Adoption resistance due to trust in AI-driven diagnostics
- Need for continuous updates to reasoning and knowledge engines
Validation Strategy
- Expand production deployments beyond Ant Group to diverse industries
- Measure operational cost savings and incident resolution improvements
- Collect user feedback to refine diagnostic accuracy and agent collaboration
Research Paper Overview
OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies
Summary
OpenDerisk is an open-source multi-agent AI framework designed to reduce operational burdens on Site Reliability Engineering teams by emulating expert diagnostic reasoning. It integrates specialized collaboration, reasoning, and knowledge engines to solve complex, multi-domain problems efficiently. Deployed at Ant Group, it supports over 3,000 daily users, demonstrating industrial scalability and improved accuracy over existing solutions.