
Financial Sector case: Blueprint for NVIDIA AI on AWS
Learn how Firemind built a secure, sovereign AI platform for a financial services client using NVIDIA AI Enterprise on AWS.
✔︎ Combining performance, control, and compliance.

Learn how Firemind built a secure, sovereign AI platform for a financial services client using NVIDIA AI Enterprise on AWS.
✔︎ Combining performance, control, and compliance.

CES reduced speech-to-text costs by 85% using managed AI on AWS, replacing AWS Transcribe while maintaining accuracy and Welsh language support.
✔︎ 85% cost reduction with managed AI on AWS ✔︎ Same accuracy, bilingual transcription

Tribe Connect, a data-driven analytics platform, partnered with Firemind to modernise its AWS architecture and deliver secure, scalable, multi-tenant customer insights.
✔︎ Secure, multi-tenant analytics with row-level access
✔︎ Modernised AWS architecture and AI-ready data platform

A conversation analysis solution that turns sales calls into actionable performance insights.
✔︎ Improved agent coaching and consistency
✔︎ Better visibility into sales performance gaps

A personalised discovery experience that helps users find the right meditation content at the right time.
✔︎ Higher engagement and repeat usage
✔︎ Improved content relevance and satisfaction

An automated legal document solution that reduces routine workload and improves review consistency.
✔︎ Reduced time spent on repetitive legal tasks
✔︎ Faster access to accurate document insights

A governed AI sandbox on AWS that enables secure experimentation with a clear path to production.
✔︎ Faster AI innovation with reduced regulatory risk
✔︎ Smoother transition from experimentation to deployed solutions

A safeguarding support solution that helps education providers identify risks earlier in virtual classrooms.
✔︎ Faster identification of safeguarding concerns
✔︎ Reduced manual monitoring effort for safeguarding teams

Shipbuilding and marine construction
A solution that helps bid teams find relevant past projects quickly and estimate costs with confidence.
✔︎ Faster bid preparation and response
✔︎ More accurate and consistent quotations

A personalised discovery experience that helps guests find hotels and restaurants that match their interests.
✔︎ Higher engagement across digital channels
✔︎ Increased booking conversion from members

An automated solution that simplifies product data intake and reduces manual validation work.
✔︎ Faster product onboarding and updates
✔︎ Improved data quality with less manual effort

A digital documentation solution that brings structure, clarity, and consistency to patient and research information.
✔︎ Faster clinical and research decision-making
✔︎ Reduced administrative effort and operational risk

A conversational assistant that simplifies equipment operations and helps keep performance consistent across locations.
✔︎ Reduced configuration errors and manual effort
✔︎ Improved equipment uptime across sites

Kinesso partnered with Firemind to modernise its campaign performance reporting, replacing manual, specialist-led workflows with an automated, self-service reporting solution that delivers fast, standardised insights at scale.
✔︎ Automated BigQuery data extraction
✔︎ Self-service AI-guided report generation
✔︎ Standardised, client-ready reporting templates

MoneySuperMarket (MSM), the UK’s leading price comparison platform for financial services, partnered with Firemind to transform its customer experience using AI-driven insurance insights.
✔︎ AI‑driven document summarisation
✔︎ Secure, scalable AWS-based solution

Insurance COOs and CUOs are proving the impact of AI workflows in weeks, not years. Firemind’s governance-first, AWS-native solutions are already delivering measurable results in underwriting and operations. Find out how to:
✔︎ Reduced review time
✔︎ Higher accuracy in key data extraction

An industry leader in specialised broking and insurance, the client manages complex placements and handles large volumes of documents and correspondence between clients and insurers.
✔︎ RAG solution to make data practical and categorised
✔︎ Higher accuracy in key data extraction through direct queries

A major Irish bank 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

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

The Premier League wanted to validate its status as the world’s most competitive and compelling football league by analysing global fan sentiment across nearly one million social media posts.
✔︎ Generative AI sentiment analysis
✔︎ Scalable AWS data processing

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

The Premier League is the organising body of the Premier League football division, with responsibility for the competition, its rule book and the centralised broadcast and commercial rights.
✔︎ Data Storage & Visulalistion
✔︎ Scalable AWS data processing

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

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

DFL needed a real-time data processing and analytics solution for football match broadcasts.
✔︎ 35% storage cost savings
✔︎ Real-time data visualisation

Naked Wines wanted to modernise its data infrastructure for faster workflows and better customer insights.
✔︎ 5x faster data workflows
✔︎ 3x operational cost reduction
Addictive Pixel required a scalable 3D scene management platform with role-based user access.
✔︎ Scalable 3D scene creation
✔︎ Scalable AWS data processing

LocalTV needed to replace a slow, outdated in-house video processing system with a scalable cloud solution.
✔︎ 80% faster video processing
✔︎ 50% monthly cost savings

M&C Saatchi required a scalable, secure data handling platform to improve analytics and reduce cloud costs.
✔︎ 7x processing output
✔︎ 50% cloud cost reduction

British Land required a scalable cloud-based analytics solution to replace unsustainable on-premise infrastructure.
✔︎ 3.5x increase in reports
✔︎ Streamlined financial and operational insights

Maidstone Borough Council wanted to replace manual document processing with AI-powered automation.
✔︎ £40K annual savings
✔︎ Improved compliance and accuracy

CrypPro, now operating as Kappalab, needed to migrate from Google Cloud Platform to AWS to cut costs and reduce latency with global exchanges.
✔︎ 40% projected cloud cost savings
✔︎ Reduced latency for global exchange connectivity
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