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  • A wise:able product · AI for co-ownerships

    quote:part: the memory of your building.

    General assembly minutes, maintenance contracts, building regulations, contractor quotes: decades of documents nobody can search. quote:part turns them into a memory you can question, with answers that always cite their source.

    Request a demo

    Ask, and get the paragraph that proves it

    Built for French co-ownerships (copropriétés), their owners and their volunteer councils (conseil syndical), in French.

    « Who pays for the party wall repairs between building A and the neighbouring lot? »

    The answer, in plain language, with the clause that settles it and how charges are split between owners.

    Sources: building regulations amendment, notarial deed, general assembly minutes

    What it does

    Sourced answers

    Hybrid search across every document of the building, with answers grounded in, and linked to, the exact passages.

    A living wiki

    People, contractors, contracts and recurring topics are summarised automatically into pages that stay up to date as documents arrive.

    Decisions & tasks follow-up

    Resolutions voted in assembly and the actions that follow are extracted at ingestion and tracked until they are done.

    Documents by email

    Forward the property manager’s emails and attachments: they are filed, read and added to the memory.

    Connect your own AI

    A personal MCP server with OAuth lets each owner question the building from Claude, ChatGPT or any compatible assistant.

    Private by design

    One private instance per building. Documents and secrets stay in your deployment and backups are encrypted.

    Under the hood

    quote:part extends an open-source retrieval-augmented generation engine with a French interface, a follow-up module for decisions and tasks, inbound email, per-user MCP access and reproducible, containerised deployment on any cloud or VPS. Currently in pilot.

    Want it for your building?

    quote:part is in pilot. We demo it on real documents and set up private instances on request.

    Request a demo

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