03 · In-house AI
Our ownAI models.
We train our own language models in our lab and keep them. Then we put them inside your system. Not a rented chat box.
03In-house AI
Trained here.
Kept here.
The console beside the core is an illustration of the shape of it: a question about your records, answered from inside the system, in your vocabulary.
Example: asked to summarize the week's bookings, the model reports the total, flags three cancellations from one account, and suggests holding that account for review before the next invoice run.
- Trained in our lab
- Cloud or fully offline
- Your data stays yours
03How we work
What that means
for you.
- Your data stays private. It never trains a public model and never leaves the boundary you choose.
- Cloud or fully offline. Dedicated to you in our cloud, or on your own hardware with no connection out.
- Tuned to your work. Your records and your vocabulary, not the internet's.
- The team is human. The models serve the work; the people answer for it.
CaseBibit
An assistant inside
a realtor's day.
Bibit is a workspace for realtors with the assistant built into the daily board rather than bolted on as a chat window: a web app and a native Mac app that share one interface.
- What it is
- Bibit, a realtor's workspace in four surfaces: Board, Today, Write and Ally.
- What it does
- Board and Today hold the work in front of the agent
- Write drafts listings and messages
- Ally, the assistant, works inside those surfaces instead of in a separate window
- Google sign-in; the Mac app opens the same account from the Dock
- Built with
- Laravel with Inertia on the web; Swift and WebKit for the Mac app.
- Field
- Real estate.
- Status
- Live at app.bibit.ai.
NextWrite to us
Then it becomes
yours.
Scope, time and terms are decided with you, in a private conversation with the people who build it.