
Free / Open-sourceThe AI workspace where teams and agents get work done together
Buildots records 24,849 monthly visits with -33.2% month-over-month growth and Contact for Pricing pricing. Ultralytics records 793,423 monthly visits with +8.7% growth and Freemium pricing.

AI construction intelligence that turns jobsite data into early delay warnings and verified progress.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | buildots.com | ultralytics.com |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 24.85K (24,849) | 793.42K (793,423) |
| MoM Traffic Delta | -12.37K (-33.2%) | +63.49K (+8.7%) |
| Primary Market & Share | 🇺🇸 United States (57.1%) | 🇨🇳 China (15.2%) |
| Direct Visits / mo | 5.84K | 239.75K |
| User Rating | 4 | 4.6 |
| Supported Platforms | Website | Website |

AI construction intelligence that turns jobsite data into early delay warnings and verified progress.
Regular 360-degree site captures are converted into objective progress data, showing precisely which elements are complete compared with the BIM model.
The platform flags activities that are falling behind and highlights deviations early, giving teams time to recover the schedule before delays compound.
Trades and contractors are evaluated on measured site performance rather than self-reported updates, improving accountability across packages.
Every capture builds a defensible record of what was built and when, useful for progress reporting, payment applications, and dispute resolution.

Real-time vision AI models and a full platform to train, annotate, and deploy them
One model family covering detection, instance segmentation, pose estimation, oriented boxes, classification, and tracking, tuned for real-time inference on GPU, CPU, and edge devices.
Label data with SAM-assisted annotation, train on cloud GPUs with AutoTrain, and deploy to managed regions that scale to zero when idle.
Ship trained models to ONNX, TensorRT, CoreML, TFLite, and many other formats for cloud servers, mobile devices, and embedded hardware.
Adopt the open-source AGPL-3.0 release, or purchase an enterprise license to embed YOLO in closed-source products without copyleft obligations.

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