Apeirum

AI embedded in SaaS

For software companies that want to add AI capabilities to their own product without treating the experience as a detached chatbot.

Who it is for

  • B2B SaaS
  • Portals and digital platforms
  • Products that handle documents or knowledge

Problems it solves

  • Customers ask for AI inside the product
  • The team does not want to build the full AI layer from scratch
  • Need for context, logs, limits, and integrated experience

Use examples

  • Copilot inside a legal SaaS
  • Document assistant in a customer portal
  • Summary and classification in support flow
  • Intelligent search in a product base

Apeirum

How Apeirum helps

Apeirum combines chat, document intelligence, sources, and scoped integrations so AI fits the workflow instead of remaining a separate tool.

Chat integrated into the product

Document analysis and extraction

AI-assisted automations

Technical scope with authentication, limits, and responsibilities

AI embedded in SaaS

For software companies that want to add AI capabilities to their own product without treating the experience as a detached chatbot.

Talk about integration