Document processing
Automated extraction, classification, and routing of invoices, contracts, forms, and reports. OCR + LLM pipelines that replace manual review.
AI Development
AI that does real work in your business.
We design and build AI systems that solve specific, measurable problems — document processing, intelligent classification, LLM-powered search, automated decision-making, and more. Every system is production-ready, monitored, and built with fallback handling.
// Document classifier — production
const result = await classify(doc);
// ✓ p99 < 200ms · ✓ Fallback handled
Typical timeline
4–10 weeks
From scoping to production deployment, depending on system complexity.
What you get
Production system
Deployed, monitored, documented. Not a prototype or a demo.
Ownership
Full IP transfer
You own the code, the models, the training data, and the infrastructure.
What we build
Every AI system is built for production, not presentation.
Intelligent search
Vector search, semantic retrieval, and RAG pipelines that surface the right information across your documents, knowledge base, or product catalogue.
LLM-powered features
Chat interfaces, copilot features, automated summarisation, and content generation integrated into your existing product or workflow.
Predictive analytics
Churn prediction, demand forecasting, anomaly detection, and automated alerting — built on your data, tuned for your business.
AI automation
Decision-making workflows that replace repetitive human judgment — email routing, lead qualification, content moderation, compliance checks.
Monitoring & fallbacks
Every AI system ships with observability: token usage tracking, latency monitoring, error rates, and graceful fallback behaviour when models fail.
AI development options
Why custom AI vs. off-the-shelf tools?
| Off-the-shelf AI tools | Els Global AI development | Large AI consultancy | |
|---|---|---|---|
| Fits your exact use case | — | Sometimes | |
| Fixed price | — | ||
| Integrates with your systems | Limited | ||
| You own the code | — | Varies | |
| Production ready | Often not | ||
| Monitored & maintained | — | Extra cost | |
| UK-based team | — | Varies | |
| Start within 1 week | — |
Common questions
What you should know before starting an AI project.
We build production AI systems: document processing pipelines, LLM-powered features, intelligent search (RAG), recommendation engines, automated classification, predictive analytics, and decision-making automation. We work with OpenAI, Anthropic Claude, open-source models, and embedding providers like Cohere and Pinecone.
Not always. Many systems work well with small, curated datasets — especially when using pre-trained foundation models. We will tell you during scoping whether your data is sufficient for your use case or if we need to build a collection strategy first.
Every system we build has explicit fallback handling: if the model returns an unexpected result, fails, or times out, we have a defined behaviour — whether that is a default response, a human escalation, or a retry with a different model. We also monitor error rates and alert you when something needs attention.
Yes. This is one of our most common engagements. We audit your current system, propose the integration approach, and build it cleanly — without disrupting what already works. Most AI integrations are completed in 2–6 weeks.
That depends on which models we use. We always discuss data handling, API terms, and privacy implications before building. For sensitive data, we can use self-hosted or private models that do not send data to third-party APIs.
We evaluate based on latency requirements, cost per call, accuracy on your specific task, context window, and data privacy constraints. We do not default to the most expensive or most popular model — we pick what is right for your use case.
Ready to get started?
Tell us what you need and we will come back with a clear plan and a fixed quote — no obligation, no jargon.