Kamai vs Kreo
AI markup and estimating platform
Kreo is the closest competitor to Kamai: a cloud-native, AI-driven platform with its own Core Platform API that can upload drawings and return measurements programmatically. The honest difference is not whether an API exists, it is what the product is built around. Kreo's API exposes work done inside the Kreo platform; Kamai's API is the product, drawing in and typed JSON out, built for teams who want the extraction itself.
Kreo and Kamai are the two AI-native, API-capable players. Kreo builds the estimator platform first and offers an API on top. Kamai is API-first: the extraction is the product. Run the same drawings through both, the test is accuracy and how cleanly the data drops into your pipeline.
What each tool is built for.
The honest read, including the rows where the other tool wins.
| Capability | Kamai | Kreo |
|---|---|---|
| What it optimizes for | The extraction as the product, API-first | A full estimator platform with an API on top |
| Geometric foundational models | Yes, vector-native parsing | AI with vector display; pipeline not vector-native confirmed |
| Dimension precision | Sub-millimeter, exact | Strong, AI-measured |
| API model | API-first, self-serve, drawing in and typed JSON out | Core Platform API, platform-account gated |
| Embed and white-label | Built for it, the models run under your product | Platform-centric |
| Per-trade depth | Same models across all | Strong per-trade pages |
Why Kamai is built this way.
- We chose API-first: the extraction is the deliverable, not an export from a platform you also have to adopt.
- We chose vector-native parsing because reading the drawing geometry directly beats matching rasterized images.
- We kept the surface narrow so the models can run under multiple platforms, including yours.
Why Kreo is built that way.
- Kreo went broad to be a one-stop estimator platform, with the API as a way to extend it.
- Kreo invested in UX polish because their primary buyer is the estimator, not the developer.
Kreo is the real near-peer, and pretending otherwise would be dishonest: they are cloud-native, AI-driven, and they ship an API. The difference is shape, not the presence of features. Kamai is API-first and built to embed, and we parse vector geometry directly. The fair test is your own drawings, compare accuracy and how the data fits your pipeline.
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.