What people actually
use DataPalace for.
It is a knowledge base your AI tools can access directly. Simple idea. What people do with it is all over the map.
Whatever your business runs on, it lives here.
From a founder’s strategy to an agency’s client roster to a building’s maintenance history, the knowledge goes into one organized library your AI can actually read.
“My AI keeps asking the same questions”
A founder uses Claude every day. Every chat starts the same: who are you, what does the company do, what is the tone. After connecting DataPalace, Claude pulls that automatically. The first message of the day is actual work.
“Our SOPs are in seventeen places”
Processes scattered across Notion, Docs, Slack, and someone’s drafts. The honest answer to “how do I do this” was “ask Sarah.” Now the AI surfaces the process. Sarah gets her afternoon back.
“Last year’s decisions are impossible to find”
Architecture, pricing logic, scope, all in meeting notes and two people’s heads. Six months later nobody can find why. With DataPalace for decision capture, the reasoning is searchable.
“Our AI gives confident wrong answers”
Connected to a pile of internal docs, the AI answered from outdated and contradictory sources, sounding confident either way. With Libby maintaining the base, stale articles get flagged and answers get more trustworthy over time.
“I want my AI to know my business like a long-time employee”
The most common thing people say once it clicks. They want an AI that does not need to be briefed — one that already knows the backstory, the constraints, the client preferences, the decision history. Not a smarter AI. A more informed one.
“My best thinking vanishes between tools”
A great conclusion in ChatGPT, gone the moment you switch to Claude or start a new chat. Save the gold to DataPalace once, and every AI tool you connect can use it. Your thinking compounds instead of resetting.
Stop running on the copy-paste treadmill.
Every client has their own voice, processes, and context. Templates and saved prompts are duct tape, until someone uses the wrong one. Give each client their own DataPalace tenant. Connect your AI tools to it. The AI already knows the client. No briefing, no pasting, no praying someone used the right version. Update once, everything downstream picks it up.
Buildings change hands. Managers move on. DataPalace stays.
Property management runs on institutional memory. Who called about the noise complaint. What was decided at the last strata meeting. When the boiler was serviced and by who. That knowledge is supposed to live in files. In practice it lives in people, and walks out the door when they leave.
Put the building’s history into DataPalace and your AI tools can actually use it. When an owner calls about the HVAC schedule, the AI knows the building and the history. A new manager inheriting a portfolio is not starting from zero.
DataPalace was built inside a regulated firm.
Not inspired by one. The original version was built inside a CIRO-regulated wealth management company to help the team get up to speed and stop routing everything through the same two senior people.
It stores your operational knowledge, not client data. How you handle scenarios, your philosophy on a product, your onboarding. Closer to your policy manual than your CRM. Your client files stay in your regulated systems.
Same memory layer. Different jobs.
Faster onboarding
New team members ask the AI instead of a person. It already knows the business.
Context across tools
Run Claude, ChatGPT, and Cursor without losing context between them.
Capture what was learned
Save the insight from one conversation so it is there in the next.
Shared access, no bottleneck
Everyone draws from the same knowledge without routing through one person.
Agents on real context
Build AI agents that act on what your business actually knows, not guesses.
“Show me what I wrote”
Filter the knowledge base to the articles you personally authored.
DataPalace is the memory layer. What you build on top of it is up to you.
Stop briefing.
Start compounding.
Whatever your business runs on, give your AI the context it already needs.