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Convecto

AI operations

AI solutions that still give the right answers a year from now.

Laptop on a black steel-tube sideboard showing a terminal in which someone is changing the memory setting of a vLLM server, a brick-walled loft behind it

What it is about

On day one, an AI assistant is as good as the documents it starts with. After that, prices, products and policies change, models come out in new versions and users’ questions shift. We keep knowledge and technology up to date, check answer quality continuously and run the solution together with cloudshift.

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What’s included

  1. 01

    Knowledge upkeep

    New and changed documents go into the assistant, and outdated ones are removed.

  2. 02

    Quality checks

    Test questions with expected answers that we run after every change.

  3. 03

    Model updates

    We test new model versions before they go live.

  4. 04

    Usage and cost

    Reports on how often the assistant is used, for what and what it costs.

  5. 05

    GPU hosting and open-weight models

    We deploy open-weight models on GPU servers, for example with vLLM, and handle monitoring and updates through cloudshift.

What you get

Reliable answers

Quality does not slip unnoticed, because we measure it regularly.

Costs in view

You see what the solution costs and how much work it takes off your team.

Work

Projects where we did exactly this

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