Our Story
From Is this even possible? ... to the most significant release of a RAG platform in the AI era.
The Spark
In early 2024, a simple question after OpenAI DevDay—Could AI automate an Airbnb business?—snowballed into the only platform of its kind to unify Retrieval-Augmented Generation (RAG) for chat with an Agent Builder tool for work.
The Gap
Organizations want AI that knows their world of internal knowledge for the purpose of chat and doing work. Most unrealized value today is knowledge workers who aren't using "RAG" nor on the frontier of building agentic workflows with hooks into their information.
The Challenge
Turning everything you care about—documents, articles, videos, social posts, screenshots, images, meetings—into knowledge ChatGPT can use has been painfully complex and technical. And going from "getting answers" to building agentic workflows that do work is even harder.
Our Vision
Make it One Click to transform any information you care about from any source or format into knowledge ChatGPT can recall instantly—or use as context to automate a task through a simple drag-and-drop agent builder interface that any non-technical user can use.
The Reality
With AskMyAI, you create your own hyper-personalized version of ChatGPT trained on your information—an "AI librarian" who is an expert on everything in your library but can do more than just chat by also automating repetitive tasks that use your information along with tool calls to any MCP server or API call to your systems.
Share Your AI
You can even share your "AI librarian" to a dedicated URL anyone can query as a fully hosted deployment of a RAG‑enhanced LLM
Beyond RAG + Agents
While our core mission was to ship the most advanced + easy-to-use turnkey "RAG" platform with a drag-and-drop Agent Builder anyone can use from PHDs to first-time AI users, we spent months building 4 additional AI products built around these core capabilities so users can have 1 platform | 1 subscription | 6 AI products that make AI more useful, personal and powerful than ever: