Services / Core ML
Service · Core ML
Custom models, built on your data.
When off-the-shelf models aren't enough, we build them. Training, testing and evaluation; dataset creation and curation; custom model creation; ML consulting and applied R&D — all the way to production.
Owned
weights & data
Custom
datasets & models
R&D
to production
live
Service / Core MLLIVE / DEMO
01What it does
The full ML lifecycle.
From a research question to a model running in production, evaluated against metrics that matter.
01Model building — training, testing and evaluation
02Dataset creation, labelling and curation
03Custom model creation for your domain
04Model customization and fine-tuning on your data
05ML consulting — architecture, feasibility, strategy
06Applied R&D for novel or frontier problems
Every model is measured against a metric you already care about — accuracy, cost, latency or throughput. Not vanity benchmarks.
Built on
Production-grade open stack.
The full ML lifecycle on a research-grade training, tracking and evaluation stack.
- Python
- PyTorch
- TensorFlow
- Hugging Face
- scikit-learn
- NumPy
- Jupyter
- MLflow
Self-hosted, swappable, no vendor lock-in
Engage your way
A model that's actually yours.
Owned Weights
Cloud Hosted
On-Premise
Handover + Runbooks
Owned weights, owned data, owned evaluation — deployed wherever you choose.
Build it
A model that's actually yours.
Owned weights, owned data, owned evaluation. Deployed where you choose.