LLM Application Development
Chatbots, AI assistants, document Q&A systems and conversational interfaces built on Claude, GPT-4, Gemini and open-source models.
AI Integration
AI that actually integrates — into your product, your workflow, and your users' reality.
LLM application development, AI automation pipelines, intelligent search, content generation systems and the full engineering layer required to make AI reliable in production — not just impressive in a demo.
What we cover
Everything included in this service.
All capabilities delivered by the same team — no sub-contracting, no handoffs, no gaps.
Automation Pipelines
Document processing, data extraction, classification, summarisation and multi-step AI workflows that connect to your existing tools and databases.
AI-Powered Search
Semantic search, vector databases, RAG (retrieval-augmented generation) pipelines and intelligent knowledge base systems.
AI Visibility Products
The engineering layer behind GetVisibilityOS and GetVisibleMe — custom AI monitoring, scoring systems and structured data extraction at scale.
Model Fine-tuning & Eval
Dataset preparation, fine-tuning workflows, evaluation frameworks and production guardrails for models that need domain-specific behaviour.
AI Safety & Production Ops
Prompt injection defence, output validation, rate limiting, cost optimisation and monitoring for AI systems running at production scale.
How we work
A process built around your timeline, not ours.
We run a structured process that keeps you informed without drowning you in meetings. You get updates when there's something worth showing — and honest feedback when scope needs adjusting.
Use-case definition
We define what the AI needs to do, what models are appropriate, and what latency and cost envelope is acceptable before writing any code.
Prototype & prompt design
Rapid prototype with real data. Prompt engineering, context management and output formatting iterated until the baseline is solid.
Production integration
AI component integrated into your product with proper error handling, fallbacks, logging and cost monitoring.
Evaluation & iteration
Ongoing evaluation framework established. Model updates, prompt improvements and accuracy tracking built into the post-launch process.
What you receive
Deliverables for every engagement
- Production AI integration codebase
- Prompt library and system context documentation
- Evaluation dataset and accuracy baseline
- Cost monitoring and rate-limit configuration
- API integration documentation
- Post-launch tuning support (30 days)
Pricing
$55/hr from
Quoted in advance — no surprises. Scope and timeline confirmed before work begins. Hourly or fixed-price available depending on project type.
Ready to start?
Have an AI use case?
Tell us what you want the AI to do — we'll tell you what it will actually take to make it reliable.
Choose a service plan