Fine-Tuned/Custom ML Models
Purpose-built models for your specific use case
When off-the-shelf models aren't enough, we build custom ones. Fine-tuned on your data for your specific problem — whether it's fraud detection, content classification, or domain-specific language understanding. Delivered with training pipelines so you can retrain as your data evolves.
- Category
- AI Integration
- Status
- Pipeline
- Tier
- frontier
- Delivery
- Partner
- Steps
- 4-phase engagement
[STATUS: PIPELINE] — This capability is in active development. Design-partner slots are open. Contact us to co-develop it against your workload.
What we deliver.
Every capability is engineered for production from day one — tested, documented, and ready to deploy.
- Fine-tuning of foundation models on your data
- Custom classification and detection models
- Domain-specific language model training
- Automated retraining pipelines
- Model evaluation and benchmarking
How the engagement runs.
Data Preparation
Collect, clean, and label training data for your use case.
Model Training
Train and fine-tune models with rigorous evaluation.
Deployment
Deploy models with inference APIs and monitoring.
Maintenance
Set up retraining pipelines and drift detection.
Trained custom model(s)
Inference API
Training and retraining pipeline
Model evaluation reports
Ready to put this into action?
Tell us about your project and constraints. We'll respond with a technical point of view.
Get in touchFull-stack builds with AI as a core feature