4.5 out of 5 stars
(150 Ratings)
SearchUnify is an enterprise Agentic AI platform that unifies enterprise knowledge and powers autonomous AI agents across the customer support lifecycle. Built on SearchUnifyFRAG™ (Federated Retrieval Augmented Generation) and Agentic RAG, it delivers contextually accurate, real-time responses across self-service, agent-assisted, and automated support workflows.
Its product suite includes Cognitive Search, SearchUnifyGPT™, SUVA (Virtual Assistant), Knowbler, and Agent Helper. The Agentic AI Suite deploys eight specialized AI Agents handling case resolution, case classification, escalation management, knowledge management, case quality auditing, and L2 technical workflow automation.
SearchUnify supports BYOLLM, enabling LLM flexibility without vendor lock-in, and uses Model Context Protocol (MCP) for secure enterprise integrations. A built-in governance layer provides role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2.
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4.5 out of 5 stars
(55 Ratings)
StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering.
With StackAI you can:
• Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls
• Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow
• Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls
• Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing
• Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise
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Act-Two
Act-Two enables animation of any character by transferring movements, expressions, and speech from a driving performance video onto a static image or reference video of your character. By selecting the Gen‑4 Video model and then the Act‑Two icon in Runway’s web interface, you supply two inputs; a performance video of an actor enacting your desired scene and a character input (either a single image or a video clip), and optionally enable gesture control to map hand and body movements onto character images. Act‑Two automatically adds environmental and camera motion to still images, supports a range of angles, non‑human subjects, and artistic styles, and retains original scene dynamics when using character videos (though with facial rather than full‑body gesture mapping). Users can adjust facial expressiveness on a sliding scale to balance natural motion with character consistency, preview results in real time, and generate high‑resolution clips up to 30 seconds long.
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