Autafy.ca's answer

FastAPI backend, packaged as a multi-arch Docker image (runs on amd64 and arm64). Retrieval-augmented generation for the knowledge base, MCP servers for integrations, and support for any LLM provider — OpenRouter, OpenAI, Anthropic, Google, or local via Ollama and LM Studio.

Autafy.ca's answer

AIDA runs entirely on your own server — your email, files, and data never touch a server we control. It's an agent that does the work (inbox triage, morning briefings, answers from your own documents), not just a chatbot. And it's a one-time purchase you own for life, not a subscription. You bring your own AI key, or run models fully local with Ollama for zero cost and total privacy.

Autafy.ca's answer

Most AI assistants run on someone else's cloud and bill you every month. AIDA is self-hosted — your data stays yours by architecture, not by policy — and you pay once and own it for life. It works with any LLM (including fully local ones), installs with a single Docker command, and does real work across your email, calendar, files, and the tools you already use.

Autafy.ca's answer

Working professionals worldwide — freelancers, consultants, solo entrepreneurs, and small teams who want a capable AI assistant that acts on their behalf without sending their data to a cloud provider. Anyone with more to do than hours in the day.

Autafy.ca's answer

I run a small automation agency and kept hitting the same wall: the tools were scattered, and the people I built automations for couldn't see or use what they had. So I built AIDA — one place where all your tools live together, that a normal person can actually use, running on their own server so their data stays private.