SearchUnify vs. RunLLM

SearchUnify is an enterprise Agentic AI platform that connects fragmented enterprise knowledge and deploys autonomous AI agents to handle customer support operations from first contact to resolution. At its core, the platform is powered by SearchUnifyFRAG™ (Federated Retrieval Augmented Generation), Agentic RAG, and the SCORE (Contextual Relevance Engine) framework, enabling accurate, grounded responses drawn from unified enterprise data. The product suite spans five core tools. Cognitive Search retrieves contextually relevant answers across distributed knowledge sources. SearchUnifyGPT™ generates cited AI responses at every support touchpoint. SUVA, the virtual assistant, handles multi-turn conversations autonomously. Knowbler supports knowledge capture, structuring, and surfacing at the point of need. Agent Helper delivers next-best-action recommendations to support agents during live case resolution. Extending these capabilities, the Agentic AI Suite comprises eight AI agents: AI Support Agent for self-service resolution, AI SupportPlus Agent for autonomous CRM ticket handling, AI Classification Agent for case tagging and routing, AI Escalation Manager for escalation risk prediction, AI Knowledge Agent for automated content creation and gap detection, AI Competency Agent for L2 technical workflow resolution, AI Agent Partner for real-time agent guidance, and AI Case Quality Auditor for evaluating every closed case. SearchUnify supports BYOLLM for LLM flexibility, Model Context Protocol (MCP) for secure system connectivity, and a governance layer covering role-based access control, PII masking, and ISO 27001, HIPAA, and SOC 2 compliance. The platform connects with 100+ enterprise tools including Salesforce, Zendesk, and ServiceNow.

RunLLM delivers top-tier AI support engineers that seamlessly integrate your documentation, codebases, support tickets, and telemetry to develop a unified knowledge graph and customized language models. These advanced agents utilize strategic planning alongside tool usage to tackle questions, analyze logs, execute and verify code, resolve tickets, refresh documentation, and perform proactive follow-ups, with exception-based workflows that ensure only the most complex issues are escalated for human involvement. The adaptable nature of these agents allows you to define distinctive tones and behaviors, while the coordination of multiple LLMs assures rigorously validated answers. Additionally, seamless integration with platforms like Slack, Zendesk, and Docs enables rapid deployment, showcasing ROI in just minutes by rerouting up to 99% of inquiries, significantly cutting down mean resolution times, and allowing for support scalability without a need for a larger workforce. Furthermore, real-time dashboards coupled with continuous insights into user environments transform support into an automated and precise service, prioritizing both efficiency and effectiveness in the user experience. Consequently, organizations can dedicate more resources to their primary activities while depending on intelligent solutions for their support management needs, ultimately enhancing overall productivity and satisfaction. This innovative approach not only improves service delivery but also fosters a more agile operational framework, positioning companies for sustained growth and success.