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The AI initiates conversations with employees at all levels—engineers, managers, or executives—to gather critical information and solve challenges in real time.
Powered by cutting-edge research capabilities, the AI continuously monitors global trends and industry shifts to provide insights specific to your business landscape.
Connects effortlessly to internal systems (databases, tools, chat platforms) and external data sources (market trends, benchmarks) for a 360-degree view of your operations.
Delivers precise suggestions based on your unique organizational structure and goals—no generic advice here.
The system uses a dedicated component that stores customer documentation, wikis, and past incident data. Each customer's information is stored in separate namespaces to ensure privacy and relevant context retrieval.
Yes, the system anonymizes and stores post-mortem analyses and lessons learned from incidents. It maintains two knowledge bases: a customer-specific store and a general knowledge store that benefits from cross-organization learning while maintaining privacy.
The system operates with human oversight. While it can automatically detect issues and suggest solutions, it requires approvals for executing resolutions, ensuring a balance between automation and safety.
The platform uses a multi-agent architecture where specialized agents handle different technologies (like Kubernetes or Azure experts). These agents collaborate through an orchestrator to provide comprehensive incident resolution.
The system can integrate with existing documentation platforms like JIRA or Azure DevOps through APIs. It can also ingest specific documents, relevant emails, and chat communications from designated channels to build its knowledge base.