A private AI server
Built on Mac Studio and set up on your network. It runs open-weight models locally on Izuran Pro, our own server software.
Private AI for Northeast businesses
A Mac Studio server on your network that runs open-weight AI models and governed agents. Documents, prompts and answers are processed in your office, not in someone else's cloud.
Trials are limited and subject to a qualification call. Serving MA, CT, RI, NH, VT, ME, NY, NJ and eastern Pennsylvania.

Client files, patient records, financials and designs are the work your business is trusted with. Many AI tools send that data to someone else's servers. We take the other route: the model runs on hardware you can see, on your network, under your rules.
Built on Mac Studio and set up on your network. It runs open-weight models locally on Izuran Pro, our own server software.
They ask before anything risky, work in the folders you choose, and every conversation is logged on the server.
We're an applied AI studio in Framingham, MA. We set it up with you and stay in touch.
An AI model can explain itself convincingly and still be wrong. So we don't ask you to trust the model.
Our buyers aren't AI developers. They're firms where confidentiality is part of the job.
Local AI can make data obligations easier to manage. It doesn't make a workflow compliant on its own. We'll go through your requirements on the qualification call.
Northeast businesses evaluating local AI can apply for a limited on-site trial. We review every request and reply within 1 business day. A trial isn't guaranteed. If it's a fit, we agree on testing terms and drop-off together.
Step 1
You send a request
About two minutes.
Step 2
We review it
Reply within 1 business day, either way.
Step 3
Qualification call
Your data, your team, a good result.
Step 4
Terms and drop-off
What you'll test and where it goes.
Step 5
Trial and debrief
We review results together. No pressure to buy.
From the lab
Our lab runs two Mac Studio M3 Ultra machines as one server on our own inference engine, and we publish what we learn.