
See the real results: Proven AI in insurance operations
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
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
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
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 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 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
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 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 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 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 needed to migrate complex genomic sequencing workflows from Azure to AWS for improved scalability and cost efficiency.
✔︎ 25-day migration completed
✔︎ Maximised cost efficiency
We help you identify high-value opportunities, de-risk your first project, and deliver measurable AI results from day one.
Briefing
A 20-minute focused session
Clear plan, budget, and production timeline