Follows AWS cloud security best practices & shared responsibility model.


Wide selection of models to find the right one for your use case.


Best price performance with infrastructure powered by AWS.

In-house accelerators

Reduce our customers’ time to value and accelerated the path to success.

Secure & responsible AI

Committed to responsible AI ensuring fairness, transparency, and accountability.

Fast-tracking value. Responsibly.

We deliver value whilst maintaining a secure and responsible approach to our AI practice. We leverage our in-house accelerators to reduce our customers’ time to value and accelerate the path to success with Generative AI (Gen AI).

Common applications of Generative AI


Synthetic document generation

Synthetic documents created to augment the dataset, enhancing model training and ultimately improving accuracy for applications such as automated invoice reconciliation.


Expected worth of Generative AI in Business Market by 2032. Up from USD 1.2 billion in 2022.


AI-powered chatbots

AI-powered chatbots can provide improved customer support, instant responses and personalised recommendations for an enhanced customer experience.


Customer service communication which can be tackled by large language models.

Healthcare & Life Sciences

Virtual assistants

Analyse medical data, research papers, and patient histories to provide accurate information and personalised treatment recommendations.


Working hours in healthcare that could be supported or augmented by language-based AI.

Media & Entertainment

Content generation

Create automated content such as news articles, social media posts, and video scripts, saving time and resources.


AI in Media & Entertainment expected market worth by 2030.

Bloomberg UK

What is Generative AI?

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is powered by large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs).

With Generative AI, you can reinvent your applications, create entirely new customer experiences, drive unprecedented levels of productivity, and transform your business.


Foundational Models (FM)

Like all AI, generative AI is powered by ML models, very large models that are pre-trained on vast amounts of data and commonly referred to as foundational models (FMs). Recent advancements in ML have led to the rise of models that contain billions of parameters or variables.

Large Language Model (LLM)

A large language model (LLM) is a type of foundational model that is designed to process and generate natural language text. It is trained on vast amounts of text data using Deep Learning techniques, to learn patterns and relationships in language and generate human-like responses to a wide variety of prompts.

Building Generative AI on AWS

Amazon Bedrock

Amazon Bedrock is a fully managed service that makes foundational models from leading AI startups and Amazon available via an API, so you can choose from a wide range to find the model that is best suited for your use case.

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Amazon SageMaker

Amazon SageMaker streamlines foundational model adoption with options for price, performance, and use cases, reducing effort and improving time to market. Enjoy managed hosting, flexible deployment, and a private foundational model Hub for seamless building, training, deployment, and monetisation.

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AWS Inferentia

AWS Inferentia accelerators are designed by AWS to deliver high performance at the lowest cost for your deep learning (DL) inference applications.

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AWS Trainium

AWS Trainium is the second-generation machine learning (ML) accelerator that AWS purpose built for deep learning training of 100B+ parameter models.

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Discover our Managed LLMOps Services

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Generative AI use cases

Visual Content

Generative AI tools transform text into realistic images, enhance existing images, simplify video production, and enable detailed 3D shape generation.

Audio content

Text-to-speech (TTS) generation, and speech-to-speech (STS) conversion, enables new compositions, realistic speech from text, and creating voices from existing audio.

Text Generation

Popular for generating content, performing language tasks, and assisting in creative writing, conversational agents, translation, and marketing.

Code Generation

Streamline software development by automating code generation, completion, test case creation, bug fixing, and model integration, reducing developers’ time and effort.

Healthcare & Life Sciences

Medical imaging interpretation

Analyse medical images, such as X-rays, CT scans, and MRIs, to assist radiologists in diagnosing diseases, identifying anomalies, and providing more accurate treatment recommendations.

Media & Entertainment

Content generation

Create automated content such as news articles, social media posts, and video scripts, saving time and resources.

Rapid 6-8 Week Generative AI

Week 1

Discovery & PoV roadmap

Identify relevant data sources and assess infrastructure requirements. Evaluate AI use cases based on business value, success criteria, and implementation complexity. Create plan for the deployment, including tasks, timelines, and milestones.

Week 2-6

Build & deploy

Deploy and configure the PoV in the customer’s AWS development environment. Complete architecture, documentation, & replication instructions.

Week 6-8

Demo & production roadmap

Full walkthrough of PoV. Plan to scale solution for production and refine TCO estimate. Evaluate success and provide recommendations based on solution results.

Latest AI insights

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Ready to unlock hidden value with Generative AI?

Partnered with AWS, we help you accelerate your time to value with Generative AI.

Join us for a collaborative Proof of Concept (PoC) or workshop, where together we’ll unlock the full potential of Generative AI and discover hidden business opportunities.