From Data to Deployment—Models That Deliver.
Fine-tune to get an in-domain model
We fine-tune machine translation models for specialised domains (legal, medical, technical, etc.) to improve translation accuracy, ensure terminology consistency, and maintain style control. If you have internal glossaries, linguistic standards, or translation memories, we can use them to train a model tailored to your specific needs — just as we've done for Adobe, Autodesk, Across, and other international clients.
Model evaluation
We perform both automated and human-in-the-loop evaluation using standard or customised test sets and metrics, along with custom domain-specific checklists. Whether you're assessing a new model, benchmarking vendors, or validating a fine-tuned model before deployment, we help you identify how well it fits your use case — so you can make informed decisions with confidence.
Deploy on-prem or in the cloud
We deploy your MT or LLM stack wherever it makes the most sense — in a secure on-prem cluster behind your firewall or in a managed cloud VPC. This gives you full control over data residency, keeps sensitive content inside your own perimeter complying with specific regulations. You retain full IP rights to the model and outputs; data never leaves your chosen enclave or cloud environment.
Secured development environments
We treat your training data, custom prompts, models and model outputs as confidential assets. Everything is processed with strict access control, version tracking, and auditing — whether during cleaning, training, or evaluation. This prevents data leaks, and ensures your models stay compliant with internal and external security policies.
Monitor performance
We provide monitoring automated evaluation pipelines to continuously track the performance of your MT system. We help you detect domain drift, quality degradation, or sudden failures in style and terminology — so you know exactly when it's time to retrain, re-align, or fine-tune. This ensures your models stay accurate, consistent, and aligned with evolving business needs.
