AI-BOB

Team Extension

Beetroot assisted AI-BOB, a Swedish construction tech startup, with the development of its AI copilot. By embedding real-time validation and code checks directly into design workflows, we helped AI-BOB refine both its Revit integration and backend logic, moving the product closer to the company’s vision of error-free, sustainable construction.

  • .Net
  • C#
  • Node.js
  • TypeScript
  • WebView2

Background

AI-BOB is a Sweden-based startup with a mission to stop buildings from being built wrong. The company aims to reduce the number of construction errors that cost Sweden €10B annually (equivalent to 50,000 new homes) by using AI to streamline design validation and simplify compliance.

Their core product works as a copilot inside design environments like Autodesk Revit, providing instant feedback on building compliance, accessibility, and quality. By catching issues early, AI-BOB helps teams prevent costly rework and reduce material waste across the construction lifecycle.

  • Challenge

    As an early-stage startup, AI-BOB struggled to find the right engineering talent locally in Sweden. With ambitious goals for its Revit-integrated copilot and backend systems, the company needed additional technical capacity to sustain product growth.

  • Facing a similar challenge? We're ready to help!

  • Project Recap

    • AI-BOB approached Beetroot for support in building a tech team. We quickly connected the client with a BIM Software Developer to assist with the Revit plugin development and maintenance.
    • Over the first year, Beetroot’s developer became a key contributor to AI-BOB’s product evolution — strengthening architecture, refining user experience, and ensuring reliable performance of both the Revit-embedded copilot and the backend services that power intelligent rule validation and real-time guidance.

Solution

Beetroot’s partnership with AI-BOB began with onboarding a skilled BIM Software Developer who quickly became an integral part of the team, fully aligned with the company’s roadmap and goals. The collaboration follows a long-term dedicated team model, has been successful for over a year, and is still ongoing.

Technical Implementation


Revit integration (C#, .NET):

  • Developed and maintained a Revit plugin, enabling architects and engineers to access the copilot’s validation workflows directly within their design environment and receive real-time feedback without leaving the tool.
  • Improved the usability and reliability of the integrated solution by streamlining update mechanisms and ensuring a smooth experience for users as the copilot evolves.

Backend (TypeScript, Node.js) – Accessibility Rules:
  • Designed and implemented a structured suite of accessibility validation rules, covering a range of layout scenarios, ensuring the copilot could assess different building configurations with consistency and accuracy.
  • Migrated complex validation logic from the Revit layer to the backend, centralizing all business logic on the server side.

Results

The collaboration resulted in a stable, production-ready integration of AI-BOB’s copilot within Autodesk Revit, helping architects and property developers catch construction mistakes early and validate designs faster and with greater accuracy.

Key outcomes include:

  • Product Reliability: A refined and reliable Revit-embedded copilot with auto-updating and in-tool visualization.
  • System Scalability: A robust backend architecture enabling scalable validation rules and centralized logic that reduces technical debt.
  • Long-Term Partnership: An ongoing engineering collaboration that continues to evolve as AI-BOB scales its impact across the construction and property development industry.

What our clients say

See some of our business partners’ reviews to get a sense of what to expect from our cooperation.

  • I would most definitely recommend Beetroot to other companies looking for offshore team members. If you want the cooperation to be successful, make sure you have similar culture and values. Be very clear on what you want and be picky — try to find the best fit possible. If you see things are not working out, don’t try to fix them. It’s better to drop the recruited candidate and go with another, even if it means starting the process over.

    Adam Wamai Egesa.
    Co-Founder and CTO at Normative

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