Updates

Product preview · A conversation-led workspace for clients, listings, deals, and the next step.
Context beside the conversation
OttoCan brings the work of an independent real estate practice into one desk. The conversation sits alongside the client, listing, deal, and library context that gives a question meaning.
Inside the preview
A central conversation for working through questions and preparing next steps.
Client and property context close to the work.
Prepared drafts that remain subject to agent review.
You stay in control
Otto prepares. You review. The preview illustrates the intended workflow; it is not an announcement that every integration is generally available. Visit Meet Otto for access news, or contact us to discuss your practice.

Architecture note · The four layers behind Trezly’s owned-AI approach.
One accountable stack
Trezly operates the application, inference gateway, real-estate-tuned models, and dedicated NVIDIA H200 clusters that power Otto. Owning the stack gives us direct control of model delivery and the infrastructure beneath the desk.
What each layer does
Application: clients, listings, transactions, and negotiation workflows.
Gateway: sensitivity routing, PII redaction, and audit logging.
Models: tuning and maintenance for real estate work.
Hardware: dedicated clusters for in-house inference.
The purpose is practical: keep intelligence close to the work and reduce dependence on a third-party model API. Architecture ownership does not remove the need for thoughtful review, clear policies, or responsible use.

Workflow preview · Choose your source, sign in, and review before bringing records into your desk.
Start with the source you choose
The OttoCan intake preview begins with choosing a CRM and deciding which records belong in your desk. A temporary browser session keeps provider sign-in separate from the conversation with Otto.
Three deliberate stages
Choose the source and the scope of the proposed intake.
Use the provider sign-in step in a temporary browser session.
Inspect the proposed import before approving it.
Preview status
The supplied screens demonstrate a local simulation. No live provider access, data transfer, or import occurs in that demonstration. Provider availability and supported record types must be confirmed for a live connection.

Product principle · Mappings, duplicates, and exclusions deserve a clear review point.
A useful import is an understandable import
Moving a database should not mean accepting a mystery. The OttoCan review preview brings the proposed record set into view, with dedicated areas for field mapping, possible duplicates, and excluded information.
What to check
Confirm that fields map to the meaning you expect.
Examine possible duplicates before combining records.
Understand which notes, attachments, or restricted records are excluded.
Approve only after reviewing the proposed result.
This is a preview of a review-first workflow, not evidence that an import has completed. The same principle guides prepared work throughout Otto: make the decision visible and leave approval with the agent.

Founding commitment · Data sovereignty is part of the Trezly operating model.
Keep the work of your practice yours
Client history, messages, negotiation context, and CMAs represent years of professional work. Trezly’s founding commitment is that your data is never sold, licensed, or used to train a third party’s model. Otto’s inference runs on Trezly-owned infrastructure.
Control and responsibility
Data sovereignty works alongside client privacy rights, brokerage agreements, and record-retention duties. Agents should only bring in information they are authorized to use and review what is shared in any external action.
Read the policies
For the governing details, read our Privacy Policy and Terms of Service. Contact us with questions about how the platform handles the information in your practice.