Apeirum

Problem

Companies need to use artificial intelligence over internal information without turning documents, data, and corporate knowledge into a disconnected collection of chats and files. The difficulty isn't just generating an answer — it's retrieving the right information, preserving context, and keeping the sources behind each answer traceable.

System

Apeirum is a private AI platform for companies, built around a workspace, a document library, and conversation with context retrieval. The system combines web applications, authentication, document storage, embeddings, and vector search to retrieve relevant content and produce contextualized answers. The architecture includes Next.js, PostgreSQL/Supabase with pgvector, access controls, APIs, and integration with language models.

Outcome

An operational foundation for corporate AI applications, where documents and knowledge can be embedded into workflows with contextual retrieval, access control, and traceability over the information behind each answer.

Related capability

This system is also a Varcove product.