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
PeripherAi needed to build a scalable data ingestion pipeline for machine learning-driven sales insights.
✔︎ Automated sentiment and data capture
✔︎ 60% boost in sentiment analysis capability
Vodafone wanted to automate invoice reconciliation to replace a slow, error-prone manual process.
✔︎ 95% invoice match rate
✔︎ Average match time cut to 3 minutes
Simfoni needed to automate manual processes and modernise cloud-based data ingestion and categorisation.
✔︎ Automated product enrichment
✔︎ Scalable, cost-efficient cloud processes
Bubo.AI wanted to migrate their Plotly-powered pricing app from Azure to AWS for scalability and cost savings.
✔︎ Migration completed in 12 days
✔︎ Improved scalability and reduced latency
SCANOSS needed to optimise storage and retrieval for a massive 11TB open-source code dataset.
✔︎ 65% faster code scanning
✔︎ Reduced processing costs
Autone needed to build a scalable SaaS retail operations platform from scratch.
✔︎ AWS cloud framework delivered in 2 weeks
✔︎ Secured €2M investment funding
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
