Data Sources → Platform → Find / Answer / Act / Your Own Apps (MCP · APIs)
A chatbot pilot here, an assistant for a specific business process there – each with its own data connections, permission model, and infrastructure.
Every project starts from scratch and has to answer the same questions all over again:
The IntraFind Enterprise AI Platform provides a shared technological foundation on which a wide range of applications can be built step by step and expanded as needed.
ENTERPRISE AI PLATFORM – The Foundation you no longer have to build
It connects relevant data sources while respecting existing access permissions and handles ingestion, indexing and processing, linguistic normalization, auto-tagging, and metadata enrichment. For generative AI, it also handles passage segmentation, embeddings, and vectorization.
Authentication, authorization, integration of interchangeable language and embedding models, as well as interfaces via APIs and MCP, are also built in.Your resources belong in your domain expertise and business processes – not in repeatedly rebuilding the same AI infrastructure fundamentals. Data connectivity, ingestion, processing, indexing, vectorization, model integration, permissions, APIs, and MCP are already part of the platform.
Through MCP and documented APIs, your own assistants, business applications, and data science teams can access the same processed, permission-aware index data.
The question: What do we build next?
Data Sources → Data Integration Layer → AI Platform → Applications
Data Sources. SharePoint, file shares, DMS and electronic records, wikis, business applications, databases, and APIs – more than 80 connectors integrate structured and unstructured sources, while over 600 file formats can be processed.
Data Integration Layer. Indexing, normalization, and semantic enrichment – including the transfer and continuous synchronization of permissions from source systems. Continuously developed and refined for 25 years.
AI Platform. Retrieval, Enterprise RAG, passage-level permission checks, model integration, governance, evaluation, and auditing as shared services for all applications.
Applications. iFinder for finding, iAssistant for answering, iHub and agents for acting – plus your own apps and assistants via API and MCP. All powered by a single retrieval source and governed by the same permissions.
For many customers, the journey begins with iFinder, our permission-aware Enterprise Search. On the same platform, they can then add an enterprise-wide chatbot, specialized assistants, agentic solutions, or iHub for recurring tasks and processes – all the way to custom business and data science applications that access processed index data directly via API or MCP.
The platform remains the same.mYou don't have to start from scratch for every new AI use case.
25 years of experience. This foundation isn't new – what's new is that we're presenting it as a platform. We have continuously developed our Data Integration Layer for 25 years. iFinder Enterprise Search has relied on it from the very beginning; the platform has always been part of the product – it simply didn't have that name.
The technology that powers today's chatbots and agents has matured through 25 years of real-world use in businesses and public-sector organizations.
Enterprise knowledge exists in more than 600 file formats – and it's no longer limited to text. The platform processes scanned documents using OCR, recognizes and describes image content, transcribes audio and video files and makes them searchable, identifies tables and document structures, and processes multilingual content. Even technical documents such as drawings and plans can be analyzed using AI.
iFinder is the Enterprise Search application running on the platform. The platform is the shared foundation underneath it – covering data connectivity, processing, permission checks, and model integration.
In addition to iFinder, it powers iAssistant, iHub, AI agents, and your own applications.
Copilot and ChatGPT Enterprise are productivity assistants tied to their respective ecosystems.
The IntraFind platform provides a permission-aware knowledge layer across all your sources – including sources outside Microsoft 365 – and can provide these assistants with enterprise context via MCP rather than replacing them.
Through the Model Context Protocol, the platform makes its permission-aware retrieval capabilities available to your own assistants and agents – while preserving permissions and source references.
Wherever you choose: in your own data center, fully air-gapped, in a private or sovereign cloud, in a hybrid environment, or as a managed service.
Your data is not used to train AI models.
Start small and clearly defined – usually with iFinder Enterprise Search – and then expand step by step to chatbots, agents, and your own applications.
Bring us a specific use case, and we'll show you in 20 minutes how it can be implemented on the platform.
An Enterprise AI Platform provides enterprise knowledge and centralized AI services for a range of applications.
The IntraFind Enterprise AI Platform connects data sources, respects existing access permissions, and provides search, retrieval, Enterprise RAG, model integration, and interfaces for chatbots, AI agents, and custom applications.
