Built for estimators & takeoff agencies

AI Takeoff Automation for Construction teams

We build custom AI models that automate takeoffs on your plans — tailored to your workflow.

Cut takeoff time by 50–70% on real project plans.

It takes ~2 weeks to build a custom AI solution.

Book a 15 min fit call

How it works

  • Upload your construction plans
  • We train a custom AI model on your data
  • Get automated takeoffs tailored to your workflow

Example: AI detects doors and measures rooms

Optional: upload one sample PDF•Private by default

👉 See if this fits your workflow

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Auto-labelingRooms, doors, symbols
Custom trainingExcel on your plans
Counts & measuresArea, perimeter, surface
IntegrationsPlug into your workflow
Scan-friendlyWorks with PDFs & scans

How it works

From Plan Labeling Pain to Automation

Three steps: Problem, Solution, and How

  1. 1

    Problem

    Manual plan labeling is slow and error-prone

    • Small teams can’t keep up with volume
    • One error could cost a lot
    • Generic tools force rework
  2. 2

    Solution

    A custom model made for your needs

    • Fits naturally into your workflow
    • Precise results, fewer costly mistakes
    • Ongoing support and continuous updates
  3. 3

    How

    Define problem, train model, deploy.

    • Define your requirements
    • We train & deploy your custom model
    • Reliable estimation on an ongoing basis

FAQ

Frequently Asked Questions

What you need to know

  • What does the solution actually do?

    We build a custom AI model trained on your data to automate a specific task (e.g., extracting structured information from your files).

    You interact with it via a simple API, and we provide a wrapper so it fits directly into your existing workflow or tools.

  • How long does setup take?

    Most projects are deployed within ~2 weeks.

    The timeline depends mainly on the complexity of the task and the availability of training data.

  • What do I need to provide?

    You provide sample data and, ideally, labeled examples of the desired output.

    If labeled data is limited, we can still start with a smaller dataset and improve the model over time.

  • What accuracy can I expect?

    Accuracy depends on the complexity of the task and the quality of your data.

    Before deployment, we evaluate the model on your samples and agree on a target performance level.

  • What happens if the results are not good enough?

    We iterate on the model using additional data and feedback until the agreed target is reached.

    Our goal is to make the system reliable enough for real production use, not just a demo.

  • How do I integrate this into my workflow?

    You access the model via API.

    We also provide a lightweight wrapper or integration layer so your team can use it directly inside your existing tools with minimal engineering effort.

  • Does it work with my tools?

    If your tools support APIs or plugins, we can integrate directly.

    Otherwise, we support import/export workflows so it still fits into your process.

  • How is pricing structured?

    Pricing has two parts: a one-time development fee to build and train your custom model, and a monthly subscription for hosting, maintenance, and support.

    The cost depends on the complexity of the task, the amount of data, and usage volume.

  • What’s included in the monthly subscription?

    Model hosting, monitoring, and ongoing support.

    Continuous improvements and updates as your data or requirements evolve.

  • How is my data handled?

    Your data is used only to build and improve your model.

    We do not use your data to train models for other clients.

  • Why not use an off-the-shelf AI tool?

    Generic models are not optimized for your specific data or workflow.

    We train a model tailored to your use case, which typically results in higher accuracy and more reliable outputs in production.