Models on records
Gradient boosting on tables such as inspection and fleet data.
AI Development
CatBoost development services for models on tabular data
We have no published CatBoost build. Our Python 3.13 back ends hold the records such a model learns from, and we say plainly that none of them trains one.
0Published builds on CatBoost
1.2.10Latest release, 19 Feb 2026
1.2.9Released 18 February
1Release without JVM artifacts, 1.2.9
What we build
What we would take on with CatBoost
Models behind an API
A FastAPI service in front of a trained model.
Evidence beside the score
A prediction that shows what drove it.
Upgrades
Moves onto 1.2.10.
Architecture
Where CatBoost would sit
A boosted model on the fleet data
Data
PostgreSQL and PostGISStops, legs, geofences
MQTT telematicsPosition and engine data
Model
CatBoost modelWhere it would sit
FastAPIPython 3.13
Use
Dispatch consoleSixteen live screens
Illustration. A dashed outline marks where the technology would sit. We have no published build on it.
Releases
Recent CatBoost releases
The latest CatBoost releases
18 February
CatBoost 1.2.9
Published without JVM artifacts, because of issues with publishing.
19 February 2026
CatBoost 1.2.10
Marked latest on GitHub.
Source: CatBoost releases on GitHub, checked 6 November 2026. The list shows day and month, and the asset timestamps give 2026 for 1.2.10.
Builds
The closest builds we can show you
Logistics, fleet operations
TruckFleet Labs
Stops, legs and telematics in PostGIS and Redis, the data a boosted model would learn from.
112 to 97 kmOne route after route sequencing
AI product, in-house
Sales OS
A graded brief with six scored axes, where every score carries its evidence.
1 creditOpens all six tabs of an account brief
Fit check
When CatBoost is the right call
Pick CatBoost when
- Your data is a table with many text-like categories
- You want a strong baseline fast
- You can explain the result to a user
Look elsewhere when
- You need a published CatBoost build to inspect, which we do not have
- The job is images or text, where deep learning fits
- You have too few labelled rows
Explore
Same job, other tools
Where we used it
Stack
What CatBoost usually sits beside
XGBoost
LightGBM
scikit-learnPython
Apache Airflow
DockerFAQs
What buyers ask first
Which CatBoost version is current?
CatBoost 1.2.10, marked latest on GitHub and released on 19 February 2026. Version 1.2.9 came out the day before.
Do you have a published CatBoost build?
No. We say so on the first call and show the nearest work, which is Python data builds with PostGIS and a sync queue.
CatBoost, XGBoost or LightGBM?
All three are gradient boosting libraries. We say which fits your data on the first call, and we have no published build on any of them.
Who owns the code and the cloud accounts?
You do, from the first commit. Repositories and cloud accounts stay in your name.
Tell us what your table has to predict
Thirty minutes on your data, your labels and your CatBoost version. No sales pitch.