AI & RAG Development Services

Web Foundation builds AI-powered applications that connect large language models with business data, documents and workflows. We develop RAG systems, enterprise knowledge solutions, AI assistants and AI agents designed around practical business requirements.
Our team handles the complete technical implementation, including data ingestion, document processing, vector search, retrieval, LLM integration, permissions, APIs and integrations with existing business systems.

RAG Systems Connected to Your Business Data

Retrieval-Augmented Generation allows AI applications to use relevant information from company documents and systems when answering questions or performing tasks. We build RAG architectures that ingest, process, index and retrieve business knowledge from multiple data sources while keeping information current and accessible.

AI Integrated With Existing Systems

Useful enterprise AI rarely operates in isolation. We integrate AI applications with platforms such as Google Workspace, Microsoft 365, Slack, Jira, Confluence, HubSpot and other business systems, allowing AI capabilities to work with the information and workflows organizations already use.

From AI Prototype to Production Application

Moving from an AI experiment to a production application requires more than connecting to an LLM API. We build the surrounding software architecture needed for authentication, permissions, data synchronization, retrieval, monitoring and reliable application workflows, helping businesses turn AI concepts into maintainable software products.

Related Case Study: Cortextual

See how Web Foundation contributed to an enterprise AI knowledge platform combining RAG, permission-aware retrieval, data synchronization and integrations with multiple business systems.

View Cortextual Case Study →