95+ connectors
Connects more than 95 enterprise applications and systems so content can be searched from a single experience instead of across disconnected silos.
BA Insight is an AI-powered enterprise search and knowledge discovery platform that connects enterprise content across systems and prepares it for search and AI use. It helps organizations surface relevant answers, preserve access controls, and support generative AI workflows without committing to a single search stack.
BA Insight is an AI-powered enterprise search and knowledge discovery platform from Upland Software. It is designed to connect enterprise data sources, prepare content for search and AI use, and help organizations surface relevant answers across systems that are otherwise siloed.
The site frames the product as an AI Enablement Platform that can support enterprise search, knowledge access, and generative AI workflows without forcing a single AI stack. It emphasizes broad connector coverage, multiple indexing strategies, and flexible integration with existing search and AI tools.
BA Insight also positions the platform around data preparation and grounding for AI projects. Its messaging focuses on improving access to content, controlling security, and using connected enterprise knowledge to support search-driven work and AI outputs.
Connects more than 95 enterprise applications and systems so content can be searched from a single experience instead of across disconnected silos.
Supports index-time merge, search-time merge, and hybrid indexing so teams can choose the search architecture that fits their data and operational needs.
Integrates with existing stacks such as SharePoint Online/on-premises, Microsoft Search, Azure AI Search, Amazon OpenSearch, Amazon Kendra, Elasticsearch, Solr, NetDocuments, Documentum, and Egnyte.
Retains item-level security to keep access controls aligned with source systems while content is surfaced through search.
Uses semantic understanding, conversational search, AI, and machine learning to improve relevance, contextual understanding, and personalized recommendations.
Offers environment flexibility, including choice of AI provider, LLM, search engine, and user interface, and supports stand-alone UI or API-based deployment.
Help employees find answers across distributed content repositories without jumping between applications or dealing with isolated search experiences.
Prepare enterprise content for generative AI by connecting, indexing, and grounding models in the organization’s own knowledge base.
Support teams that need to search both cloud and on-premises systems while preserving access controls and search relevance.
Unify content from multiple business applications into a single search index or federated search layer for better findability.
Build search experiences for existing stacks such as SharePoint, Microsoft Search, Azure AI Search, Amazon OpenSearch, Amazon Kendra, Elasticsearch, Solr, NetDocuments, Documentum, and Egnyte.
BA Insight positions the platform as a way to connect enterprise content across many systems so users can search and retrieve relevant answers in one place. The enterprise search page describes support for on-premises and cloud data sources and several deployment approaches, including index-time merge, search-time merge, and hybrid indexing.
The site says BA Insight connects to more than 95 enterprise applications and systems, and it can also build custom connectors by request. The enterprise search page names systems such as SharePoint Online/on-premises, Microsoft Search, Azure AI Search, Amazon OpenSearch, Amazon Kendra, Elasticsearch, Solr, NetDocuments, Documentum, and Egnyte.
BA Insight describes its AI Enablement Platform as secure, scalable, and flexible, with stand-alone UI or API framework options. The enterprise search page also says the platform is technology agnostic and can integrate with the AI or search stack an organization already uses.
The pricing page is unavailable and returns a 404, so the public site does not provide pricing details in the material reviewed. A demo or meeting request is the clearest engagement path shown on the site.
The site emphasizes organizations with data spread across multiple systems, especially teams that need enterprise search, AI enablement, or knowledge discovery across both cloud and on-premises sources. It also highlights use for AI projects that need better data access, preparation, and grounding.