Your company's mind. On your own server.
An AI that knows your data, learns your processes and works for no one but you. See it here first; if you like it, we install it in your office.
Every company is an ocean.
The answers are deep down.
Years of documents, emails and procedures: all there, but no one remembers all of it at once. mindocean is the layer that does.
Share a few documents
After an NDA: product catalogs, internal procedures, past proposals. Even three files are enough to start.
Enter the demo under a code name
For two weeks, use your own assistant at your own address. Your company's name appears nowhere.
Like it? We move it into your office
Same folder, same model, same face. This time on a Mac Studio on your desk, under your own domain.
As wide as an ocean,
a single mind.
You don't buy tools piece by piece. Knowledge, workflows and the model run as one connected structure; whatever is learned in one place is used everywhere.
- Knowledge
Your documents are indexed by meaning and stay current on their own. Like a loggerhead returning to the beach it was born on, the assistant always finds its way back to the source of an answer.
- Workflows
Preparing a quote, answering a support ticket, the weekly report: each a defined, measurable workflow. Like an orca pod, it works alongside your team, not instead of it.
- Model
An open-source language model, running entirely on site. Like an octopus, the intelligence lives where the work is. If the provider changes, your system doesn't.
- Hardware
Mac Studio with 64 or 128 GB of unified memory. Your data never leaves the building; the assistant keeps working even if the internet goes down.
Names hidden,
results not.
Every demo runs under a code name. Company name, sector details and data stay only at that company's own address.
- Project Atlas · Logistics
Preparing a quote used to take two days; now forty minutes.
- Project Meridian · Finance
Most regulatory questions are closed on the first answer.
- Project Coral · Retail
Waiting time on the store support line was cut in half.
Sample references. Real results will be added with the first deployments.
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