Generic AI products hit a ceiling. We build custom models trained on your data, calibrated to your domain, and integrated into your systems — production-grade from day one.
Take foundation models (GPT, Llama, Mistral, Gemma) and specialise them on your proprietary data — achieving domain expertise that general models cannot match.
Object detection, classification, segmentation, and OCR systems for manufacturing QC, document processing, security, and retail analytics.
Sentiment analysis, entity extraction, document classification, contract parsing, and knowledge extraction from unstructured text.
Retrieval-Augmented Generation: give your LLM access to your internal knowledge base, with source citations and auditability built in.
CI/CD pipelines for models, automated retraining, drift detection, A/B testing frameworks, and model registry management.
Deploy on AWS, Azure, or GCP with auto-scaling inference endpoints. On-premises and air-gapped deployments available for regulated industries.
From fine-tuned model to working product: conversational chat interfaces, automated content generation pipelines, AI code assistants, and document automation built on your custom LLMs.
Custom ML models for demand forecasting, personalised recommendations, and anomaly detection built on your tabular or time-series data — not generic off-the-shelf solutions.
It depends on the task. For domain adaptation, a few thousand high-quality examples can be sufficient. For highly specialised tasks, we may need more. We always start with a data audit to give you a realistic picture.
Data quality matters, but messy data doesn't mean no AI. We include data cleaning and labelling as part of our engagements. We'll tell you upfront what data work is needed and how it affects timeline.
Yes. For regulated industries or data-sensitive clients, we routinely deploy models on-premises or within a client's private cloud environment. No data leaves your perimeter.
We set up monitoring for model drift, performance degradation, and anomalous outputs. We offer ongoing retaining and optimisation as a managed service, or we can hand over the MLOps to your team.
Tell us what you're trying to achieve. We'll come back with a realistic assessment, timeline, and fixed-scope proposal.
Start the Conversation