Services
Custom AI Models Built for Your Domain
From foundation model selection to domain-specific fine-tuning, we build models that perform precisely where you need them.
Purpose-Built, Not Off-the-Shelf
Generic AI models are trained on generic data. When your business operates in a specialised domain— industrial equipment, regulated healthcare, complex financial instruments—generic is never good enough.
We build models from the ground up around your data, your terminology, and your performance requirements. The result is AI that understands your context as well as your best subject-matter experts.
Foundation Model Selection
The right starting point determines everything downstream. We evaluate open-weight and proprietary foundation models against your use case, data volume, latency requirements, and cost envelope— then recommend the architecture that maximises capability while minimising total cost of ownership.
Domain Fine-Tuning
We curate training datasets from your internal knowledge—technical documentation, historical records, labelled outcomes—and apply fine-tuning techniques including supervised fine-tuning, RLHF, and parameter-efficient methods like LoRA. Your model learns the nuances of your domain without forgetting general reasoning capabilities.
Evaluation & Validation
A model that looks good on benchmark scores may still fail in production. We build domain-specific evaluation harnesses that test your model against the edge cases, adversarial inputs, and real-world distributions that matter to your business—ensuring you ship with confidence.