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Generative AI
Generative AI that works with your data, not against it
We build production-ready generative AI solutions on Amazon Bedrock — grounded in your data, secured in your AWS account and designed to deliver measurable value.
What we build with generative AI
Every solution uses Amazon Bedrock with Retrieval-Augmented Generation to ensure responses are accurate, cited and grounded in your organisation's data.
Intelligent Chatbots
Customer-facing and internal chatbots powered by Amazon Bedrock and RAG (Retrieval-Augmented Generation). Grounded in your data, not hallucinations.
Code Assistants
Developer productivity tools built on Amazon CodeWhisperer and Bedrock. Automate code reviews, generate boilerplate and accelerate legacy modernisation.
Knowledge Bases
Connect Bedrock to your internal documents, wikis, Confluence pages and S3 buckets. Give your teams instant, accurate answers from your own data.
Content Generation
Automated content pipelines for marketing copy, product descriptions, reports and email campaigns — with human-in-the-loop review workflows.
See generative AI in action with your own data
We will build a working proof of concept on Amazon Bedrock using your documents in under three weeks. No commitment required.
Foundation models available on Bedrock
We help you select the right model for your use case based on accuracy, latency, cost and compliance requirements.
Anthropic Claude
Industry-leading reasoning and analysis. Ideal for complex document processing, customer support and enterprise chatbots.
Amazon Titan
AWS-native models optimised for text generation, embeddings and search. Fully managed with built-in safety controls.
Meta Llama
Open-weight models for teams that need fine-tuning flexibility. Strong performance on code generation and multilingual tasks.
Stability AI
Image generation models for marketing, product design and creative workflows. Generate visuals from text prompts at scale.
How we deliver generative AI projects
01
Discovery and use case assessment
We identify the highest-value use cases, assess your data readiness and define success metrics before writing a line of code.
02
Proof of concept on Bedrock
A working prototype using your real data, typically delivered within 2–3 weeks. You test it, we iterate based on feedback.
03
Production build with guardrails
We add RAG pipelines, prompt engineering, content filtering, monitoring and CI/CD. The solution runs entirely within your AWS account.
04
Launch, monitor and optimise
Post-launch monitoring with CloudWatch, cost tracking per model and continuous prompt refinement to improve accuracy over time.
Frequently asked questions
Related AI services
From experiment to production in weeks
Book a free discovery call and we will scope a generative AI proof of concept tailored to your business — delivered on Amazon Bedrock.