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AI Development · UK

AI products
that actually
ship.

From LLM copilots and RAG systems to predictive ML and computer vision — we engineer AI into real products that move real metrics. Built for production. Operated to SLA.

GDPR-aligned & VPC-isolated deployment
Senior ML/AI engineers on every sprint
Eval-first, not vibes-first
NDA before discovery call
8–12 wks
AI MVP launch
40%
Avg cost saved
60+
AI projects shipped
99.9%
Uptime SLA
Free AI Consultation

Let's build your AI product.

Reply within 24h · NDA before discovery · No obligation

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Capabilities

Full-stack AI engineering,
end-to-end.

We don't just glue an API together. We design, build, evaluate, deploy, and operate AI systems with the same rigour as the rest of your software.

LLM & Generative AI

RAG pipelines, AI agents, copilots, fine-tuning, and evals — built on OpenAI, Anthropic, Google, or open-weight models.

Machine Learning

Forecasting, recommendations, churn prediction, fraud detection, ranking — from raw data to production models.

Computer Vision

Object detection, OCR, medical imaging, defect detection, visual search — edge or cloud deployment.

Intelligent Automation

Document processing, workflow agents, AI-augmented operations — replacing busywork with reliable software.

Data Engineering for AI

Lakehouses, feature stores, real-time pipelines — your model is only as good as the data feeding it.

MLOps & Evaluation

Versioning, monitoring, drift detection, eval harnesses — AI that stays reliable in production.

Our AI process

From idea to operating AI —
in four sharp steps.

01
Step 01
Discovery & Data Audit

Identify the highest-impact AI opportunity and confirm your data can support it.

02
Step 02
Prototype & Evaluate

Ship a working prototype in 2–4 weeks with measurable eval criteria, not just a demo.

03
Step 03
Production Engineering

Hardening, security, observability, cost controls, and CI/CD around the model.

04
Step 04
Operate & Improve

Drift monitoring, eval pipelines, and continuous improvement — AI as a living system.

Tech we use

A pragmatic AI stack —
picked for the problem.

We pick the right model and tooling for your use case — not the trend.

OpenAIAnthropicGoogle GeminiLangChainLlamaIndexHugging FacePyTorchTensorFlowpgvectorPineconeWeaviateVercel AI SDK
FAQ

Hiring an AI development team —
answered.

Predictive analytics, NLP and chat interfaces, recommendation engines, computer vision, intelligent process automation, and custom ML workflows — production-ready and operated to SLA.

Yes. We add AI to existing web, mobile, backend, and enterprise systems through APIs, microservices, and secure data pipelines without rewriting your stack.

Most AI MVPs ship in 8–12 weeks, depending on data readiness and complexity. We focus on rapid validation with practical models that deliver measurable ROI.

GDPR-aligned by default. We support on-prem and VPC-isolated deployments, encryption at rest and in flight, and audit logging for regulated environments.

Both — depending on cost, latency, privacy, and accuracy needs. Common stacks include OpenAI, Anthropic, Google, Llama, Mistral, plus PyTorch / TensorFlow.

Ready to build?

Ready to put AI to work?

Tell us your problem — we'll come back within one working day with a shape for delivery.