Featured case studies
Using GenAI to streamline legal tasks for Bank of Ireland and reduce 20% time spent on routine tasks
The Bank of Ireland wanted to streamline its legal review process by automating complex document summarisation and contract analysis using generative AI on AWS.
✔︎ AI‑driven document summarisation
✔︎ Secure, scalable AWS-based solution
IMG ARENA achieves up to 100% accurate, engaging MLS commentary with Generative AI
IMG ARENA needed to modernise and scale its data platform to process billions of sports data points in real time, enabling faster delivery to betting and media partners.
✔︎ Real‑time data processing at scale
✔︎ Cloud‑native AWS analytics platform
Foxintelligence scales email data extraction with LLMs, replacing up to 6,000 manual parsers
Foxintelligence needed to enhance its e-commerce analytics platform to process vast amounts of consumer transaction data faster and more efficiently.
✔︎ Scalable cloud infrastructure
✔︎ Real-time analytics capabilities
Oxford Immune Algorithmics automates accurate white blood cell analysis with AWS
Immune Algorithmics needed to modernise its AI-driven biomedical research platform to handle large-scale genomic datasets and accelerate disease modelling.
✔︎ Cloud-optimised AI workflows
✔︎ Faster genomic data processing
TextKernel cuts CV parsing costs by 40% and doubles processing speed with Generative AI
TextKernel wanted to explore scalable, cost-effective Generative AI for high‑volume CV parsing, aiming to improve accuracy while reducing operational costs.
✔︎ 40% cost reduction
✔︎ 2× faster CV parsing
Calm uses Generative AI to personalise recommendations, increasing accuracy by 25%
Calm aimed to enhance personalised content recommendations by adding contextual awareness and improving accuracy through AI and ML.
✔︎ 25% more accurate recommendations
✔︎ 100% explainability in suggestions
MRH Trowe achieves 95% faster document review with Pulse
MRH Trowe needed to automate manual document review and data extraction to save time and improve accuracy.
✔︎ Reduced review time
✔︎ Higher accuracy in key data extraction
Nonacus enhances performance and cuts costs with 25-day AWS migration
Nonacus needed to migrate complex genomic sequencing workflows from Azure to AWS for improved scalability and cost efficiency.
✔︎ 25-day migration completed
✔︎ Maximised cost efficiency
Samba Safety automates workflows on AWS, cutting delivery time by 70%
Samba Safety needed to automate manual machine learning model deployment and integrate it into their existing workflow.
✔︎ 70% reduction in time to delivery
✔︎ Faster turnaround times with improved accuracy