
SearchUnify is an enterprise Agentic AI platform built to transform customer support through autonomous, intelligent operations. Powered by SearchUnifyFRAG™ (Federated Retrieval Augmented Generation), the SCORE framework, and Agentic RAG, the platform unifies siloed enterprise data to deliver contextually accurate, real-time responses across the support lifecycle.
Its core product suite includes Cognitive Search for AI-powered retrieval across fragmented knowledge sources, SearchUnifyGPT™ for cited generative AI answers across every support touchpoint, SUVA (Virtual Assistant) for autonomous multi-turn query resolution, Knowbler for knowledge creation and management, and Agent Helper for real-time AI assistance during case resolution.
The Agentic AI Suite deploys eight purpose-built agents across the support lifecycle. The AI Support Agent handles end-to-end self-service case resolution. The AI SupportPlus Agent autonomously resolves CRM tickets, initiates clarification loops when context is missing, and hands off complex cases with full context. The AI Classification Agent manages real-time case tagging and routing. The AI Escalation Manager predicts and mitigates escalation risk. The AI Knowledge Agent automates knowledge creation and identifies content gaps. The AI Competency Agent resolves complex L2 technical workflows autonomously. The AI Agent Partner provides in-the-moment guidance to support teams. The AI Case Quality Auditor evaluates 100% of closed cases for continuous improvement.
The platform supports BYOLLM, Model Context Protocol (MCP), and a governance layer with role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. It integrates with 100+ enterprise platforms including Salesforce, Zendesk, and ServiceNow.
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Customer experience shouldn't run on disconnected tools and static scripts. Dialpad Contact Center brings voice, digital channels, and human agents together in a single AI-native platform, built to act — not just record — on every customer interaction.
This is Agentic AI in practice: agents that reason through a problem, take the next step, and drive it to resolution without waiting on a human to intervene. Where legacy systems leave data trapped in silos, Dialpad Contact Center closes that gap, linking voice and data so context travels with the customer instead of getting lost between systems.
The payoff compounds. Dialpad has already generated over 775 million AI recaps, and each new interaction adds to a growing base of operational intelligence — sharper resolution paths, more productive agents, better outcomes quarter over quarter. None of it runs unchecked: Dialpad's Guardian layer keeps AI operations secure and governed, so intelligence scales without sacrificing oversight.
In practice, that means up to 80% of issues get resolved autonomously, freeing your team to focus on the conversations that genuinely need a human. Intelligence works at the edge; people stay at the center of the experience.
And you don't have to take the ROI on faith. Through Dialpad's Proving Ground, enterprises can validate performance and cost savings before rolling out at scale — a far more reliable path than betting on a brittle, rules-based bot.
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Hermes Agent
Hermes Agent by Nous Research is an open-source autonomous AI system designed to function as a persistent, self-improving digital assistant. Unlike traditional AI tools, it runs locally on your server, allowing it to retain memory and learn from ongoing interactions over time. The agent integrates with multiple communication platforms, including Slack, Discord, Telegram, and WhatsApp, enabling seamless cross-platform usage. Hermes supports automation through natural language scheduling, allowing users to set up recurring tasks such as reports, backups, and updates. It can execute complex workflows by delegating tasks to subagents that operate in parallel environments. The platform includes advanced capabilities like web browsing, search, code execution, and multimedia processing. It also offers secure sandboxing options across multiple environments, including Docker and local systems. Hermes can be configured to use different AI models or APIs, giving users flexibility in deployment. Its command-line interface provides a powerful and customizable interaction experience. Overall, Hermes Agent delivers a scalable, adaptable, and intelligent solution for automation and task management.
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Khorus
Khorus serves as a versatile platform designed to create a universal communication framework for intelligent systems, empowering developers, startups, and businesses to construct, launch, and profit from networks of AI agents and robotic workflows. At the heart of the platform lies an innovative Agent-to-Agent (A2A) architecture, which facilitates the coordination of tasks, contextual sharing, and collaboration among AI agents, moving beyond simple data exchange. The platform accommodates scalable modules across various sectors including IoT, gaming, robotics, and Web3, while also integrating an on-chain agent economy that leverages standards like ERC-8004 and X402, allowing for the publication, licensing, and monetization of agents and workflows within a marketplace. Users are able to delineate agent roles, skills, and workspaces, connect APIs and integrations, initiate workflows, and track task progression. Furthermore, they can offer their agents or automation blueprints for others to utilize, thereby generating a stream of recurring revenue through their contributions to the ecosystem. As a result, Khorus not only enhances collaboration among AI agents but also fosters a sustainable model for innovation and income generation.
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