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 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
FoodChain ID needed to automate time-consuming document processing while improving accuracy and compliance in the food supply chain.
✔︎ 92% reduction in processing time
✔︎ Scalable AWS data processing
Comsec needed to modernise fraud detection capabilities without in-house AWS expertise.
✔︎ AWS infrastructure built in 25 days
✔︎ Foundation ready for future machine learning integration
DGTM wanted to replace rigid, regex-based document extraction with a scalable AI-driven automation process.
✔︎ Automated intelligent document processing
✔︎ Frees staff to focus on higher-value tasks
Alexander McQueen needed to replace a manual supplier data workflow with a secure, scalable cloud solution.
✔︎ 3x reduction in resource needs
✔︎ Secure cloud-based supplier data management
Simfoni needed to automate manual processes and modernise cloud-based data ingestion and categorisation.
✔︎ Automated product enrichment
✔︎ Scalable, cost-efficient cloud processes
Autone needed to build a scalable SaaS retail operations platform from scratch.
✔︎ AWS cloud framework delivered in 2 weeks
✔︎ Secured €2M investment funding
isme&co required a fully built digital marketplace and collaborative platform for UK SMEs.
✔︎ Platform built and launched in 16 weeks
✔︎ Secured seed funding within 1 week of showcase
MRC needed to speed up manual medical record collation to meet growing demand.
✔︎ 1,000 documents processed in 12.5 minutes
✔︎ 80% AWS cost reduction
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
