Unleash the Power of Your Data in the Cloud
Our team understands the intricate nature and complexities of AWS and our experts in building cutting-edge solutions that harness the full potential of its vast ecosystem. By selecting and optimizing the right combination of AWS services, we ensure that each solution is tailored to meet both the technical and business objectives of our clients with precision. As an advanced Consulting Partner, we also understand the complexities of effectively using data to build use cases around AI/ML, Business Intelligence and DaaS. Leveraging our deep domain expertise and technical experience, we work with our customers across the entire transformation cycle, i.e. conceptualization, design, development, etc.
Mastering the Journey with AWS Competencies
Holding AWS Competencies in Data and Analytics, Gen AI, Machine Learning, and DevOps underscores our expertise in integrating these pivotal technologies to foster robust and scalable business solutions.
Financial Services Competency
AWS Financial Services Consulting Competency Partners are recognised for deep domain expertise and technical capability to deliver secure, scalable and compliant data solutions tailored to the FSI industry.
Our Data and Analytics Portfolio
Our Arsenal of Customer-First Data Solutions
LUMIQ’s expertise in data and analytics solutions integrates seamlessly with AWS products and services. The most notable Amazon services we work upon include Amazon S3 (Amazon Simple Storage Service), Amazon Athena, and Amazon Glue. Amazon S3 is an object storage service for backup, disaster recovery, archiving, data lake and big data analytics, cloud-native applications, and hybrid cloud storage. Once you have Amazon S3, you’ll need Amazon Athena to analyze its data. Athena’s biggest advantage is no infrastructure management since it’s serverless. You only pay for the queries you run. Thanks to parallel processing, results from queries come back within seconds.If ETL is your choice of operation, then AWS Glue is the ideal solution. It is a fully managed ETL service. Here too, no infrastructure management means you only pay for the resources that are used while jobs are running.
Amazon Technologies That We Frequently Use
Amazon S3
Object storage for backup, disaster recovery, archiving, data lake and big-data analytics, cloud-native applications and hybrid cloud storage.
Amazon Athena
Serverless query engine over your S3 data — no infrastructure to manage, you pay only for the queries you run, and parallel processing returns results in seconds.
AWS Glue
Fully managed ETL. No infrastructure management, so you pay only for the resources used while jobs are running.
Our Offerings
Data Strategy & Consulting
- Data maturity assessment
- Migration & modernisation
- Data architecture design
- Cloud roadmap development
Data Governance
- Data quality management
- Data privacy & security
- Platform monitoring
- Data governance consulting
Business Intelligence
- Advanced reporting solutions
- Real-time data visualisation
- NLP-driven dashboards
- FnD, KPI and reporting marts
AI/ML
- AI/ML model development
- Recommendation systems
- MLOps and model deployment
- Model explainability
Data as a Service
- API development
- Data sharing platforms
- Data monetisation enablement
- On-demand data insights
Generative AI
- Domain-specific Gen AI solutions
- Conversational chatbots
- Fine tuning & deployment
- LLMOps
Our Success Stories
Gen AI-based underwriting engine for a leading Indian life insurance organisation
Dynamic customer nudges for consistent customer experience across channels for a leading private bank
Offer engine for multiple products and programmes for a leading private bank
Delinquency management through an Early Warning System (EWS) for a leading private bank
Customer data platform for accelerating customer-centric use cases for a leading Indian life insurance company
Data warehouse migration and automated reporting for a leading Indian life insurance company
Gen AI-based underwriting engine — in detail
For one of the country’s leading life insurers, managing underwriting for over 4 million customers had become increasingly difficult.
Problem
Underwriting depended on static rules and a Business Rule Engine that no longer met the industry’s changing demands. Heavy manual processing carried real risk, especially at month-end when underwriters raced to meet sales targets — and accuracy and compliance were the greatest concern, with delayed or inaccurate reporting to reinsurers and regulators.
Solution
LUMIQ built a Gen AI-powered underwriting engine that complements underwriter expertise. It draws on historical data, underwriting guidelines and behavioural analytics to produce data-driven recommendations that underwriters review, modify or approve. It integrates with existing systems via APIs, and every recommendation carries a clear explanation — the explainability that made underwriters willing to trust it. Personal due-diligence tools flag high-risk applications, and the architecture scales as volumes grow.
Impact
- 100% compliance improvement — full audit capability via an AI-based independent process
- Improved turnaround time — faster processing with full explainability
- Enhanced customer experience — quick, consistent decisions
- Scalability — seamless integration across more cases
- Risk management — higher accuracy in identifying risk and reducing fraud
Our clients trust us. Here's why!
“Crisp Analytics (LUMIQ) excels in futuristic solution architecture, leveraging strong data science and engineering expertise for efficient, effective data solutions. They smartly utilise Amazon services for tailored solutions.”HDFC Life
“LUMIQ's Data Engineering team established a unified system, storing deduplicated customer profiles and loan applications, enabling instant identification for Moratorium, streamlining customer servicing and personalised loan journeys.”CLIX
“LUMIQ stands out in a data-centric landscape. Their deep expertise in cloud technology and insurance, coupled with their extensive experience and remarkable speed, help us surpass customer and partner expectations.”HDFC ERGO
“The team demonstrated their deep understanding of the business, data and AI technology to deliver many successful projects in our Collections and Risk Control departments. We benefited from their consistent data management support.”TVS Credit
We Achieved Competencies in Data and Analytics, GenAI Machine Learning, and DevOps with AWS.
How we work
Purpose-built for financial services
Everything we build starts from the operating and regulatory reality of financial services, then runs inside your own cloud.
- Deployed inside your own cloud account
- Proven across 40+ global implementations
- Certified to ISO 27001, SOC 2 Type 2, HIPAA, GDPR and CCPA
Ready to turn your data into decisions?
Tell us where your data is slowing you down. We will show you what production-grade looks like in your own AWS cloud.