About Tenura

Building the memory layer for a property portfolio.

Tenura is an early-stage AI product for UK portfolio landlords. It starts with a simple observation: the history of a property portfolio is already sitting in email, but it is not organised around the properties themselves.

The product thesis

Start with history, not an empty database.

Property software normally asks an owner to enter the present state of each property. That can be useful, but it leaves years of invoices, certificates, agreements, contractor conversations and decisions behind.

Tenura is being designed to reconstruct that operational history from a read-only email connection. It identifies property-related records, links them to an address and makes the result searchable—with a route back to the original source.

The product is pre-launch. The public demo uses realistic mocked data, and production processing, security and retention terms will be published before general availability.

Product principles

Calm software. Verifiable answers.

Use the records that already exist

A landlord should not have to rebuild years of property history before software becomes useful.

Make answers inspectable

AI should help retrieve and explain information while keeping the original document one step away.

Be precise about product scope

Tenura organises portfolio history. It does not replace legal, tax, investment or safety advice.

What is public today

An illustrative product walkthrough.

The demo uses fictional data to show the intended experience, including sources, confidence states and review issues. It does not connect to an inbox or represent a live customer account.

Explore the walkthrough

Product status

  • Live · public website and waiting list
  • Illustrative · inbox, portfolio, search and AI walkthroughs
  • In development · production reconstruction and source-linked records
  • Planned · ongoing monitoring
  • Initial customer · self-managing UK landlords with roughly 5–30 properties

Contact

Talk to Tenura.

For product, research or early-access questions, email [email protected].

Join the waiting list