AI & Agents
Custom AI/ML Development
When off-the-shelf models are not enough, we train, fine-tune, and serve models tailored to your domain and constraints.
Scope
What we take on.
01
Data preparation
Labelling pipelines, quality checks, and feature engineering.
02
Training & tuning
Classical ML, deep learning, and LLM fine-tuning where it earns its keep.
03
MLOps
Versioned models, monitoring for drift, and automated retraining.
Outcomes
What you walk away with.
- Benchmarked against baselines
- Reproducible training runs
- Production serving with SLAs
Tooling
Typical stack.
- PyTorch
- scikit-learn
- Hugging Face
- MLflow
- Ray
- SageMaker
We choose tools to fit your environment and team. Treat this as a starting point, not a requirement.
Related
Pairs well with.
Start here
Planning a custom ai/ml development project? Let's talk.
Bring the problem, the number it should move and your deadline. We will come back with a plan within a week.