Tvita
Tvita

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Everything we build, and everything that keeps it running

A group running along a lakeshore at dusk with sparklers, city lights strung across the water behind them

Web platforms, custom software, AI automation, and the cloud work that holds them up. Most projects draw on more than one of these, so what follows describes the work we do rather than a menu to pick a single item from.

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Built on

What we build

  • Static Website

    Prebuilt pages served as flat files. Fast, cheap, and hard to break.

  • Dynamic Website

    Pages built per request from a database, so content is always current.

  • Ecommerce Website

    Catalogue, cart, checkout, and the payment and stock plumbing behind it.

  • SaaS Web App

    A product customers log into: accounts, roles, billing, tenant separation.

  • PWA App

    Installs to the home screen, works offline, sends push. No app store.

  • Three.js Website

    Real-time 3D in the browser — configurators, walkthroughs, product scenes.

  • API Dev Website

    Documented endpoints, auth, rate limits, and versioning for every client.

  • Docs Website

    Documentation with search, versioning, and samples that track the product.

& more

Artificial intelligence, applied to work you already do

We build AI into the projects that call for it, so the software and applications we ship are easier to use than the ones they replace. Four ways it earns its place.

  • AI Assistants

    An assistant that runs the product over MCP — operating the app or site, not just answering questions about it.

    A request in plain wordsAn action in the app

  • Workflow Automation

    Routine steps handed to a model, so the result arrives with far less manual work behind it.

    A manual routineAn unattended run

  • Model Integration

    Any model on the market fitted to your application, with the infrastructure kept running long after launch.

    A model on the marketA model in your product

  • Predictive Analytics

    The app learns how its own user works and adapts to that person rather than to an average of everyone.

    A record of habitsAn app that adapts
Talk about an AI project

Notes on the work above

Longer form on the same subjects: how a stack gets chosen, where AI earns its cost against plain code, and what it takes to keep a system running once the build is finished.

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