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Custom AI agents & AI platforms

You have an AI product idea, or a product that needs AI inside, and it must serve many clients safely.

What a custom AI platform does

  • Multi-tenant agent architecture with isolation per customer
  • Deployed on your AWS or cloud account, under your name
  • UI/UX that makes the AI part of the task, not a chat window on the side
  • Cost caps per tenant and a human fallback on every route

How we implement a custom AI platform

  1. 1

    Discovery

    What the agent does, for whom, with which data, and what it must never do.

  2. 2

    Architecture

    Isolation per customer, permissions, cost caps per customer and a human fallback, on your AWS or cloud account.

  3. 3

    Product

    An interface where the AI is part of the task, not a chat window on the side.

  4. 4

    Launch and operation

    Monitoring, model costs and improvements, or we hand everything over for your team to run.

What it connects to

  • AWS or another cloud in your name
  • Language models from more than one provider
  • Your database and APIs
  • Payments and user authentication

How much a custom AI platform costs

From $7,500 for a first version with one agent and its architecture. Larger products are quoted in stages, each with a fixed written price.

What you control

  • What it says, and what it never says
  • Which data it can see
  • What it costs to run each month, with an alert at the cap
  • Who takes over when it isn't sure

Questions about a custom AI platform

Ask a question
Who owns the code?

You do: accounts, keys and code in your company's name from day one.

Which AI model do you use?

The one that does the job best at the lowest cost. The architecture doesn't tie you to a provider: the model can change without rebuilding the product.

How do you keep customers' data apart?

Each customer lives isolated in the architecture, with its own permissions and cost cap, as in LegalMente AI.

How long until it's working?

A pilot of one flow is usually in production within a few weeks of the written price. We don't promise days; we promise a number you can measure.

What happens when the model is wrong?

It hands the case to a person, with the reason. Every route has a human fallback and a monthly cost cap with an alert.

Do we need to change our systems?

Usually not. Most of the value is in connecting what you already have.

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