MEET RALFI IA

An assistant that keeps your work in context.

Ralfi IA is the lead agent in InnerOS. It connects what you know with the tools you use, helping you retrieve information, prepare work and coordinate tasks.

Conceptual illustration of MEET RALFI IA
Conceptual visualization of the area of work.

Understand before acting

A request can start through voice, text or an application. The agent gathers context, identifies the task and proposes a path a person can review.

Quotes and documents

It can help organize requirements, retrieve history and prepare documents. A formal quote depends on technical scope, country and the relevant commercial review.

Coordination with other tools

InnerOS provides memory and access to integrations. MCP allows applications and agents to query shared tools within their defined permissions.

Talk to your systems

Work with VoiceOps, Alexa and Home Assistant brings queries and tasks closer to voice. Atlas Control includes control and development work whose scope is validated per project.

A CLEAR WORKFLOW

Understand. Prepare.
Review and continue.

A tool adds value when it has a clear purpose and its result can be checked. This is how we approach connections between people, agents and systems.

InnerOS+ Ralfi IA
01
You define the goal

An idea, a need or a question.

02
Ralfi IA gathers context

History, documents and the information that matters.

03
InnerOS coordinates tools

Memory, agents, applications and services.

04
You review the next step

You decide how to continue.

05
The result is recorded

Evidence to check and carry work forward.

Illustrative workflow. Available capabilities are validated per project.

More technical detail and project context

Conversational operations

Ralfi IA can take a natural-language request and connect it to the right workflow: quote, document, client lookup, reminder, agent task, technical note or operational handoff.

QuoteOps and WhatsApp

It supports client lookup, quote draft creation, generated introductions, rendered documents, PDF output, WhatsApp/email delivery, ticket tracking and inbound customer responses.

Agent coordination

It keeps live coordination state, open messages, task status, evidence requirements and runbooks so different AI workers do not drift apart.

Memory and documents

Ralfi IA uses operational memory to remember clients, service history, documents, decisions, tasks and the current state of the ecosystem.

Human-in-the-loop

Customer-facing, financial, security-sensitive and production actions can require approval instead of silent automation.

Server bridge

Through MCP, Ralfi IA links ChatGPT, Codex, Cursor, Open WebUI, local services, MongoDB and the two local compute nodes.

THE NEXT STEP STARTS WITH A CONVERSATION

What would you like
to make possible?

Tell us about the idea, problem or project. We will help you find the right area and a sensible first step.