Generative AI & ML

From AI idea to production value

Most AI projects stall between demo and production. We focus on the use cases that matter to your business and engineer them for real users, with security, evaluation and cost control built in from day one.

We build on Amazon Bedrock and Amazon SageMaker AI, so your data stays in your AWS account and region, under your control.

What you get

  • Use-case discovery and prioritisation workshop
  • Proof of concept with measurable success criteria
  • Retrieval-augmented generation (RAG) over your own data
  • AI agents that integrate with your systems and APIs
  • Guardrails, evaluation and responsible-AI controls
  • MLOps pipelines for training, deployment and monitoring

How we deliver

A pragmatic path to production AI

01

Discover

Identify high-value use cases, data readiness and success metrics with your stakeholders.

02

Prototype

Build a working proof of concept in weeks on Amazon Bedrock, evaluated against real data.

03

Productionise

Harden for security, scale and cost; integrate with your applications and identity.

04

Operate

Monitor quality, drift and spend, and continuously improve models and prompts.

Technology

AWS services we work with

Generative AI

Amazon Bedrock · Amazon Bedrock Agents · Amazon Bedrock Guardrails · Amazon Q

Machine learning

Amazon SageMaker AI · SageMaker Pipelines · Amazon Rekognition · Amazon Textract

Data for AI

Amazon OpenSearch Service · Amazon S3 · AWS Glue · Amazon Aurora PostgreSQL (pgvector)

Have an AI use case in mind?

Book a free discovery session. We will assess feasibility, data readiness and expected value, and outline a path to a production-ready solution on AWS.