artificial intelligence development UK
Armdia Systems provides artificial intelligence development UK from the United Kingdom. Typical engagements run from GBP 15,000 to GBP 150,000+ and last three weeks to nine months. Work is delivered by named senior engineers with written scope, documented handover and security review built into the delivery process.
Retrieval augmented generation over private knowledge bases, classification and extraction pipelines, assisted drafting workflows, guarded agentic automation, transcription and voice pipelines.
OpenAI, Anthropic Claude, Google Gemini, Mistral and open weight models hosted on controlled infrastructure are selected by task, latency, privacy, cost and evaluation results.
We document where prompts, files, logs and embeddings travel. UK or EEA residency is preferred and provider training opt out is enforced where the provider supports it.
Golden test sets, prompt injection testing, red team cases, hallucination scoring, cost ceilings and human review paths are defined before production use.
Use this table to choose the right starting point before a discovery call.
| Model | Typical use | Commercial shape |
|---|---|---|
| Audit | Assess an existing product, risk or architecture | Fixed price written report |
| Build phase | Design and ship a scoped product or feature set | Fixed price after discovery |
| Retainer | Keep a product healthy after launch | Monthly reserved capacity |
| Option | Best fit | Risk to check |
|---|---|---|
| Armdia Systems | Bespoke systems with clear ownership and United Kingdom first delivery. | Requires a proper discovery phase before fixed pricing. |
| Off the shelf SaaS | Standard workflows with little custom process risk. | Licence, integration and process mismatch costs can grow. |
| Freelance contractor | Small isolated tasks with limited governance needs. | Continuity, documentation and support coverage need scrutiny. |
Both. Model selection depends on task, latency, privacy, cost and evaluation results. Open weight models are preferred when data must not leave controlled infrastructure. Closed models are used when capability justifies the provider relationship.
We enforce provider training opt outs, use UK or EEA endpoints where available, encrypt data in transit and at rest and document every data flow before production deployment.
Golden test sets, automated scoring, human review sampling, hallucination detection and business rule validation are configured before launch. Evaluation runs continuously in production.
Retrieval augmented generation with source attribution, confidence thresholds, human review paths and explicit uncertainty signals are used to reduce and surface hallucination rather than hide it.
Cost ceilings, token budgets, model tiering by task complexity and caching of repeated queries keep inference costs predictable. Usage is monitored and reported monthly.
Structured logging, latency tracking, error rates, cost per query, output quality sampling and drift detection are monitored. Alerts route to the support team when thresholds are breached.