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.
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CES achieves 85% cost reduction in speech-to-text with managed AI on AWS
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
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Tribe Connect transforms its analytics platform with Firemind: 5-phase AWS modernisation for secure customer insights
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
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Governed AI sandbox for financial services
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
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Governed AI sandbox for financial services
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
Learn more -
Kinesso reduced campaign reporting time from days to minutes
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
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MoneySuperMarket launches GenAI assistant in 6 months: 168,000 customers supported & 96% positive feedback
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
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See the real results: proven AI in insurance operations
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
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Turning millions of insurance documents into 9/10 accurate answers with AI
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
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Using GenAI to streamline legal tasks for a major Irish bank and reduce 20% time spent on routine tasks
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
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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
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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
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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
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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
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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
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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
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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
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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
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Analysing 1 million tweets to validate the Premier League's status as the world's most competitive league
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
