Turn AI ambition into production AI that delivers measurable value.
We help you shape the right AI strategy, build the right solutions, drive adoption and keep governance, security and compliance under control from the start.
AWS Bedrock services partner
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Generative AI Platform for enterprise deployment at scale
We build AI solutions on Amazon Bedrock that simplify complex information, transform content automatically and put knowledge in reach of the people who need it.
This helps organisations reduce cost, improve productivity and deliver better user experiences.
Our AWS Bedrock service offerings
Production generative AI demands more than experimentation in isolated environments. We structure deployment across three phases: assessing readiness and identifying high-value use-cases, building secure architectures on Bedrock, then optimising for cost and performance at scale.
Assess
AI strategy and readiness assessment
We assess your AI use, technology and teams against the AWS Cloud Adoption Framework for AI and the Well-Architected Generative AI Lens. You get a clear view of governance gaps, data integration needs and adoption risks before you invest.
High-value use-case identification
We map your workflows and knowledge systems to find where generative AI will make a measurable difference, testing candidates with Amazon Bedrock model evaluation. You get 3–5 prioritised use cases, each ranked by complexity and resource needs.
Business case and ROI modelling
We model 12-month and three-year ROI using AWS Pricing Calculator alongside expected productivity gains and cost savings. You get a defensible business case to secure budget before engineering starts.
Build
Agents on Amazon Bedrock
We build agents with Amazon Bedrock AgentCore that work across your business systems to automate workflows and transform content. Amazon Bedrock Guardrails and Amazon CloudWatch keep them secure and observable, with human approval wherever decisions carry risk.
RAG and knowledge base implementation
We use Amazon Bedrock Knowledge Bases to ground AI in your own data, with ingestion from Amazon S3 and vector search in Amazon OpenSearch Serverless. You get accurate, cited answers that reduce hallucination risk.
Model selection and migration (OpenAI-to-Bedrock, Gemini-to-Bedrock)
Moving from OpenAI or Google Gemini? We compare models with Amazon Bedrock model evaluation, rewrite integrations to the Bedrock Converse API and manage cutover. You get lower cost and stronger governance without disrupting users.
Optimise
AI Cost optimisation
We apply FinOps discipline to Bedrock consumption. We optimise model selection per use-case, recommend provisioned throughput versus on-demand, and right-size inference workloads. Typical outcomes include 20-35% cost reduction within 12 months post-deployment.
Managed AI operations
We run your AI solutions as a managed service, monitoring performance, cost and model drift. You get early warning of issues and overruns, and solutions that stay secure as your needs change.
Performance tuning and Model Optimisation
We improve accuracy for your domain through Amazon Bedrock Prompt Management, retrieval tuning, fine-tuning and model distillation. Every change is measured against a baseline with Amazon Bedrock evaluations, so you see the return on each iteration.
Success story
Our not-for-profit customer needed to make complex medical information accessible to a global audience facing language and comprehension barriers.
We developed an AI-powered translation and content simplification solution using Amazon Bedrock, Translate and Textract.
The result was content available in 75 languages, improved accessibility, enhanced user experience and significantly reduced translation costs.
AWS Bedrock
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