AI & Advanced Technology

Models built around your data, not someone else's

General-purpose models are a starting point, not an answer. We build language models shaped by your domain — your documents, your terminology, your edge cases — so the output reads like it came from someone who actually understands your business. We start by working out whether a custom model is genuinely the right call, then scope it against the accuracy, cost, and latency you need in production.

What we offer:

• Domain-specific model design and scoping
• Training data pipelines, curation, and labelling
• Retrieval-augmented generation (RAG) architectures
• Evaluation harnesses and accuracy benchmarking
• Cost, latency, and model-selection trade-off analysis

Bring intelligence into the tools your team already uses

The value of a model comes from where it sits in the workflow. We connect language models to the systems your business runs on — your CRM, your support desk, your internal tools — so the intelligence shows up where the work actually happens. No separate portal to remember, no context switching, just the tools your team already knows, doing more.

What we offer:

• OpenAI, Anthropic, and open-source model integration
• CRM, ERP, and support platform connections
• Internal tool and knowledge base integration
• Secure API gateways and key management
• Workflow automation around model outputs

Teach a model your voice, your rules, your standards

Fine-tuning is how a capable general model becomes reliably yours. We prepare high-quality training sets, run the tuning cycles, and measure the result against the behaviour you actually want — consistent tone, correct formatting, adherence to your policies. Every round is evaluated rather than eyeballed, so you can see exactly what improved and what it cost.

What we offer:

• Training and evaluation dataset preparation
• Supervised fine-tuning and preference tuning
• Prompt engineering and system-prompt design
• Structured evaluation against task-specific criteria
• Guardrails, safety testing, and output validation

Products with a model at the centre, engineered end to end

An AI feature is still a product, and it lives or dies on the experience around the model. We build complete applications — assistants, intelligent search, document analysis, agentic workflows — with the interface, streaming behaviour, error handling, and fallbacks designed as carefully as the prompts. The result is something people trust enough to use daily, not a demo that impresses once.

What we offer:

• Conversational assistants and copilots
• Intelligent search and document analysis tools
• Agentic workflows and tool-using systems
• Streaming interfaces and response UX design
• Usage analytics, feedback loops, and cost controls

Ship it, watch it, and keep making it better

Launching a model is the start of the work. We deploy into infrastructure built for real traffic, then instrument it so you can see quality, spend, and latency as they move. Models change, prompts drift, and usage patterns shift — we put the monitoring and iteration loop in place so the system keeps improving instead of quietly degrading.

What we offer:

• Cloud and self-hosted model deployment
• Scaling, caching, and latency optimisation
• Monitoring for quality, cost, and drift
• A/B testing across prompts and model versions
• Ongoing iteration and model upgrade paths