We build production AI software — not demos. RAG-powered knowledge platforms, LLM-driven customer support, document and contract intelligence, computer-vision quality control, and AI agents that take real actions inside your business systems. Built on OpenAI, Anthropic, open-source models (Llama, Mistral) and your own private data — deployed securely in UK cloud regions.
What we build
Searchable, cited answers over your documents, wikis and SharePoint.
AI chat embedded in your web app, Teams or Slack.
Extract, classify, redact and summarise PDFs, contracts and emails.
Defect detection, OCR, inventory counting from phone cameras.
Agents that call your APIs, update CRMs, automate approval chains.
Call transcription, sentiment analysis, compliance monitoring.
Tech we use
How we work
Short paid AI discovery (1–2 weeks): map the use case, choose the model, calculate true token cost at scale, prove it on your actual data. Then ship to production in 6–12 weeks with monitoring, guardrails, an evaluation harness and human-in-the-loop escalation built in.
Pricing & timelines
4–6 weeks
6–10 weeks
4–6 months
FAQs
Any system where a core part of the behaviour comes from a trained model — LLMs, vision models, recommendation engines, classifiers — rather than from rules written by a developer.
Yes. We default to enterprise API tiers where your prompts and outputs are never used to train foundation models, pin to UK/EU regions where available, and can deploy to Azure OpenAI (UK-south) or self-hosted open models for fully private inference.
Not in a well-built system. We use retrieval grounding (the model answers only from your documents), confidence thresholds, refusal fallbacks, and human escalation. Every answer is traceable to the source.
A focused pilot starts around £8,000. A production feature sits between £25k and £60k. A full platform £80k+.
Helpful but not required. We can start with your website, PDFs, SharePoint, or public data, and layer in private data as access is granted.
We define success metrics before writing code (accuracy, deflection rate, cost per resolved query, time saved) and ship an evaluation dashboard alongside the product.