Put AI to work in your business.

Turnloop provides AI consulting, custom software engineering, and products to help you put AI to work.

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Consulting, engineering, and products.

Work with Turnloop on your AI and software projects. Our own product work focuses on helping businesses grow revenue, reduce costs, and work faster.

AI Consulting and Engineering

Move from experiment to production.

Get help with the project plan, software design, implementation, and launch.

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Build beyond the prototype.

A working prototype is a start. Taking it into daily use also means connecting data, testing failures, protecting access, and planning maintenance.

  • AI opportunity and architecture

    Decide where AI can help, check the data and integrations, and plan the work needed to launch.

  • Intelligent products and automation

    Build applications and automate tasks around how your team works.

  • Custom software and modernization

    Build web applications, connect systems and data, or prepare a prototype for everyday use.

  • Production AI engineering

    Test model performance, track costs, protect data, and define which actions need approval.

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Software products

What would make the biggest difference to your business?

Our product work starts with that question. We look for ways AI can help your team spend less time on repetitive tasks and more time serving your customers.

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  • Grow revenue
  • Reduce costs
  • Get work done faster

From project idea to launch.

Start with the goal, test the assumptions, and build in stages you can review.

  1. 01

    Define the outcome

    Agree on what needs to change and how you will measure success.

  2. 02

    Map the system

    Map the steps, systems, and people involved, including who can approve changes.

  3. 03

    Test the idea

    Test with representative data before committing to a larger build.

  4. 04

    Build for production

    Build and test the software, connect it to your systems, and prepare your team to run it.

  5. 05

    Measure the result

    Compare results with the agreed goals and use what you learn to improve the system.

Read about the approach →

How we make technical decisions.

  • Agree on the goal

    Choose technology that fits the work and the result you need.

  • Show the source

    Make it possible to check an answer against its source. Mark estimates and assumptions.

  • Plan for daily use

    Include testing, security, running costs, and maintenance in the design.

  • Keep approval explicit

    Define who can approve an action and keep that approval with the responsible person.

  • Choose tools to fit

    Compare models and platforms against the requirements of the project.

  • Build on existing work

    Reuse software and integrations where they already meet your needs.

What would you like to improve?

Tell us about your AI initiative or operational challenge. We’ll discuss where we can help.

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