Industry

    Ship the AI product, not the plumbing. Accounts, billing, and limits included.

    The model is rarely the hard part. Accounts, roles, usage limits, billing, admin tooling, and a public site that search engines and assistants can read are. SpinFlow builds all of it as one owned platform.

    6 min read

    The short answer

    The model is rarely the hard part. Accounts, roles, usage limits, billing, admin tooling, and a public site that search engines and assistants can read are. SpinFlow builds all of it as one owned platform. SpinFlow builds one custom platform for AI products and consultancies that replaces eight to fifteen separate tools, owned by you at a flat subscription. Most platforms launch in as little as two weeks.

    The pain points

    What slows AI products and consultancies down

    • Months spent rebuilding accounts, billing, and admin screens before the product ships
    • Usage costs with no per customer limits or visibility
    • Model choices locked into whatever was wired in at the start
    • A marketing site that assistants cannot read or quote

    The build trap

    Why AI products stall before launch

    The interesting part of an AI product is usually working within weeks. What takes the quarters is everything around it: sign up, roles, plans, metering, invoices, refunds, an admin view, and the internal tooling your own team needs to support customers.

    Teams that outsource that scaffolding to a stack of services end up paying per seat for their own product's foundations, and still write the glue themselves.

    The owned platform

    The scaffolding, built once and owned

    SpinFlow builds accounts, role based access, plans, metering, billing, and admin tooling as part of your platform, with the AI features sitting on top. You own the codebase and the data.

    Frontier models from Google, Anthropic, and OpenAI are wired in behind an interface you control, so switching or adding a model is a change inside your platform rather than a rebuild. When a new model ships, it can be in your platform the same day.

    Being found

    Buyers who arrive from the assistants

    Your public pages are server rendered, structured, and answer first, which is what AI assistants need in order to cite you. Founders we have built for report enquiries arriving from ChatGPT, Claude, Gemini, Perplexity, and Grok, already convinced and asking how to start.

    Common questions

    Questions from AI products and consultancies

    Do we own the code?

    Yes. The platform is yours, including the code and the data, which is the point of building rather than renting.

    Which models can it use?

    Frontier models from Google, Anthropic, and OpenAI, behind an interface you control, so adding or switching a model does not mean rebuilding the product.

    Can it meter and limit usage per customer?

    Yes. Plans, limits, and usage visibility are part of the platform, so AI cost never becomes a surprise at the end of the month.

    Ready to run your AI products and consultancies on one platform?

    Or calculate your savings first