Kivor offers autonomous application support using generative AI agents to ensure 24/7 operations and business resiliency. The platform builds application-aware knowledge graphs from diverse data sources to proactively detect issues and automate resolution workflows, minimizing downtime and improving support efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional application support models struggle with increasing complexity, leading to escalating operational costs and significant business downtime. Resolving application issues often takes hours or days, impacting employee productivity and incurring substantial financial losses.
Solution
Kivor provides autonomous application support leveraging generative AI agents to ensure continuous 24/7 operations and enhance business resiliency. The platform ingests diverse data sources, including logs, support tickets, runbooks, architecture documents, and software code, to construct specialized, application-aware knowledge graphs. This comprehensive understanding enables proactive issue detection and the dynamic generation of tailored resolution workflows. A multi-agent framework then traverses these solution graphs, utilizing external connectors to automate issue resolution, thereby minimizing manual intervention and significantly improving support efficiency.
Target Audience
Kivor targets enterprises seeking to reduce operational costs and minimize business downtime by enhancing application support through AI-driven automation.
Features
- Data-aware embedding pipeline that ingests and processes diverse data sources (logs, tickets, runbooks, code) using curated chunking and embedding strategies.
- Application-aware knowledge graph creation, establishing an interconnected network of workflows and solutions as a central repository for issue resolution.
- Proactive issue detection mechanisms that identify problems before or as they emerge.
- Dynamic solution graph generation, creating issue-specific resolution workflows using proprietary intellectual property.
- Multi-agent framework for autonomous resolution, traversing solution graphs and integrating with external systems to automate issue remediation.
- Generative AI agents designed for continuous 24/7 application monitoring and support.