We integrate AI into your existing enterprise systems so your team can instantly find answers buried across legacy tools, shared drives, and internal docs, without exposing sensitive data to the cloud.
“I spent 40 minutes looking for a policy that supposedly got updated last month.”
“I know the spec sheet exists. I just don't know which drive it's in.”
“I asked three people where to find last quarter's audit. Nobody knew.”
“There's a doc for this somewhere. There's always a doc. I can never find it.”
“The onboarding guide links to a page that doesn't exist anymore.”
“I just need the rate sheet. Why is this so hard?”
“Someone on Slack answered this exact question six months ago. Good luck finding it.”
“I've been here 12 years and I still don't know where half the forms are.”
At a 5,000-person company, this adds up to $10 million a year in lost productivity. It's happening at over 200,000 organizations right now.
You can't paste 10 years of institutional knowledge into a chat window. Enterprise data lives across dozens of systems, changes daily, and half of it is locked behind permissions. ChatGPT has no access, no context, and no way to stay current.
Copilot requires Microsoft 365. NotebookLM requires Google Workspace. Most enterprises—manufacturers, utilities, banks, government agencies—run older or mixed systems these tools will never reach.
In regulated industries, not every employee can see every document. Current AI tools can't enforce who sees what, making them unusable where compliance actually matters.
Direct relationships with manufacturers, banks, and government agencies across six countries. We've sat across the table from the buyer.
Two engineers who built internal AI products from scratch at a Fortune 300 company. We've seen where existing tools fail and what it takes to make them work.
Enterprise sales don't close in a demo. They close after months of procurement, compliance review, and stakeholder alignment. We've navigated that process.
Presented by William Lord Tao