Kamai vs Kreo
AI markup and estimating platform
Kreo builds a broad AI platform for marking up plans and estimating on top of them. Kamai is narrower and deeper: foundational models that read the drawing and return structured data, so the takeoff runs without the manual markup.
Kreo is building the platform on top. Kamai is the models underneath that automate the takeoff. Our extraction reads the drawing more accurately than a raster-vector hybrid, and you can check that on your own sheets.
What each tool is built for.
The honest read, including the rows where the other tool wins.
| Capability | Kamai | Kreo |
|---|---|---|
| What it optimizes for | Automating the whole takeoff | An assistant for manual markup |
| Geometric foundational models | Yes | Raster and vector hybrid |
| Dimension precision | Sub-millimeter, exact | Approximation per pixel scale |
| Structured JSON API | Yes, the primary surface | Limited |
| Per-trade depth | Same models across all | Strong per-trade pages |
| Customer support model | Direct, founder-led | Scaled support team |
Why Kamai is built this way.
- We automate the takeoff instead of assisting the manual markup, because the manual step is the cost worth removing.
- We chose models-first because everything downstream depends on reading the drawing correctly.
- We kept the surface narrow so the models can run under multiple platforms, including yours.
Why Kreo is built that way.
- Kreo went broad across markup, takeoff, and cost to be a one-stop platform.
- Kreo invested in UX polish because their buyer is the estimator, not the developer.
Kreo's platform work is genuinely strong. The honest test is the same one: run the same drawings through both and compare the output. Kamai is built to read them more accurately and return data you can build on.
See how Kamai stacks against the rest.
Kamai vs Kreo. Make the call.
Bring your drawing set. Decide for yourself.
Upload a sheet, run it through Kamai, and compare the output with whatever you're using today. No sales call required.