Generative AI that ships to production, not just to a demo.
We design and build AI features your customers and teams actually use: copilots, assistants, document intelligence, content generation and classification. We pick the right model for the job, whether that is a frontier API, an open-weight model or a fine-tune, and engineer around it for accuracy, latency, cost and safety.
AI & Generative AI Solutions
AI opportunity assessment
A ranked list of use cases with feasibility, ROI estimates and a delivery roadmap.
LLM application development
Chat, copilots, summarization, extraction and classification wired into your product.
Model selection & fine-tuning
Benchmarks across OpenAI, Anthropic, Gemini and open models, plus fine-tuning where it pays off.
Guardrails & evaluation
Prompt-injection defences, PII handling, output validation and automated eval suites.
Document & vision AI
OCR, invoice and contract extraction, image understanding and multimodal pipelines.
Cost & latency optimization
Caching, routing, batching and model distillation to keep unit economics healthy.
What you can expect
- Production-grade AI features with measurable quality metrics
- Lower inference cost per request through routing and caching
- Clear governance: logging, audit trails and human review where needed
Tools we use
We are vendor-neutral and choose tools to fit your stack, team and budget.
From first call to production.
- 1
Free consultation
A 30-minute call to understand your goals and constraints.
- 2
Proposal
A written scope, timeline and fixed price or monthly rate.
- 3
Delivery
Weekly demos and shared repositories, from day one.
- 4
Handover & support
Documentation, training and optional managed services.
Common questions
Do we need our own data to get started?
No. Many valuable use cases work with foundation models plus your existing documents or APIs. We will tell you honestly where custom data or fine-tuning would make a difference.
Will our data be used to train third-party models?
We configure providers with zero-retention or enterprise terms where available, and can deploy open-weight models entirely inside your cloud account.
How long does a first release take?
A focused proof of value typically takes 3 to 6 weeks; a production rollout usually follows within 2 to 3 months.
RAG & Knowledge Systems
Retrieval-augmented generation over your documents, databases and tools, with citations you can trust.
AI Agents & Automation
Autonomous and human-in-the-loop agents that use your tools to complete real business tasks.
MLOps & LLMOps
Pipelines, model registries, monitoring and serving infrastructure for reliable ML in production.
Let's talk about AI.
Tell us what you are building. We will reply within one business day with next steps, and the first consultation is free.