
AddSearch transforms the way organizations connect users with information. More than just a traditional site search, AddSearch now offers AI Answers and AI Conversations, enabling businesses to deliver direct, conversational, and context-aware responses to user queries. These advanced capabilities complement AddSearch’s proven site search and content recommendation solutions, helping organizations create effortless, engaging, and personalized digital experiences.
With AddSearch, you can choose between AI-driven answers, conversational interfaces, or lightning-fast search results—all fully customizable for websites, e-commerce platforms, or web applications. Our Crawler and Indexing API ensure your content is always up-to-date, while our expert implementation services save valuable developer time and maximize results.
Today, nearly 2,000 customers worldwide—across Media, Telecommunications, Government, Education, E-commerce, and more—trust AddSearch to provide best-in-class search and AI-driven discovery.
AddSearch product portfolio includes:
- AI Answers – instant, accurate, and direct responses powered by generative AI.
- AI Conversations – natural, chat-like interactions for deeper user engagement.
- Autocomplete & Smart Ranking – predictive suggestions and optimized result ordering.
- Personalized Search – tailored experiences based on behavior and preferences.
- Content & Product Recommendations – boost engagement and conversions.
- Advanced Analytics – insights into user behavior
- Flexible Content Controls – include/exclude content, synonyms, filters, and facets, promote
- Enterprise Features – SSO, organizational user management, audit logs, SLA up to 99.999%.
- Seamless Implementation – works with any CMS, via crawler or API
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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.
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Azure AI Search
Deliver outstanding results through a sophisticated vector database tailored for advanced retrieval augmented generation (RAG) and modern search techniques. Focus on substantial expansion with an enterprise-class vector database that incorporates robust security protocols, adherence to compliance guidelines, and ethical AI practices. Elevate your applications by utilizing cutting-edge retrieval strategies backed by thorough research and demonstrated client success stories. Seamlessly initiate your generative AI application with easy integrations across multiple platforms and data sources, accommodating various AI models and frameworks. Enable the automatic import of data from a wide range of Azure services and third-party solutions. Refine the management of vector data with integrated workflows for extraction, chunking, enrichment, and vectorization, ensuring a fluid process. Provide support for multivector functionalities, hybrid methodologies, multilingual capabilities, and metadata filtering options. Move beyond simple vector searching by integrating keyword match scoring, reranking features, geospatial search capabilities, and autocomplete functions, thereby creating a more thorough search experience. This comprehensive system not only boosts retrieval effectiveness but also equips users with enhanced tools to extract deeper insights from their data, fostering a more informed decision-making process. Furthermore, the architecture encourages continual innovation, allowing organizations to stay ahead in an increasingly competitive landscape.
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Onna
Onna is a dynamic search solution that enables users to connect and perform searches across an expanding array of cloud platforms. It facilitates eDiscovery and assists legal departments in identifying valuable information efficiently. Additionally, Onna empowers users to generate reports, collaborate seamlessly, ensure compliance, and share various documents. Its compatibility with multiple data sources, including DropBox, Confluence, and Gmail, enhances its usability and integration. This versatility makes Onna a crucial tool for organizations looking to streamline their data management processes.
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