AWS

LUMIQ awarded AWS Speciality partner of the Year 2022 - Data, Analytics, and ML

LUMIQ awarded AWS IPL 2021 For the third time in a row since 2019

350+FSI-certified engineers
40+Global implementations
10+Years in financial services
2×AWS Partner of the Year

Unleash the Power of Your Data in the Cloud

Our team understands the intricate nature of Cloud Computing and builds AWS environments backed with the self-learning capabilities of AI. As an APN Advanced Consulting Partner, we invest heavily in engineers who work with complex technologies and put it to good use. This has enabled LUMIQ to evolve and serve enterprise clients at scale. Our team of experts provides end-to-end consultation in every stage of your transformation journey, i.e., design, implementation, migration, and operation in infrastructure management.

You’re in Good Hands - They Agree!

“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

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.

How We Govern Data and AI

Governance Consulting

Key features

  • Detailed governance policies & standards (GDPR/HIPAA aligned)
  • Clear role definitions (data stewards, governance officers)
  • Comprehensive data management strategy & metrics
  • Structured change management & training

Key benefits

  • Consistent governance framework
  • Reduced data silos & inconsistencies
  • Clear data ownership & accountability
  • Standardised data definitions across the organisation

emPower Pryzm — data reliability & observability

Key features

  • Data quality rules & tracking (TDQ/BDQ)
  • Centralised data catalogue & glossary
  • Granular data lineage & metadata management
  • Incident discovery for real-time anomaly alerts

Key benefits

  • Ensures data accuracy & reliability
  • Automated monitoring & real-time alerts
  • Faster resolution of data issues
  • Clear, unified visibility into data quality

AI Governance (MLOps)

Key features

  • End-to-end model lifecycle management
  • Version control & feature store
  • Advanced monitoring (performance, data drift)
  • Secure model auditing & encryption

Key benefits

  • Streamlined model deployment & updates
  • Enhanced model reliability & performance
  • Faster, more transparent AI/ML processes
  • Secure access & data protection

Case Studies

01

Large asset management company managing AUM of $9T+

  • Pryzm set up for asset monitoring and a data reliability framework
  • Smart incident discovery with dynamic threshold detection
  • Automated data quality monitoring
  • Self-service BI with customisable dashboards
  • Solution managing 5,000+ data pipelines in progress
02

Large general insurance company with 15M+ customers

  • Consulting to implement organisation-wide data governance
  • Pryzm deployed for centralised observability and reliability
  • Projected 30% reduction in MTTR and 50% fewer duplicate incidents
  • Domain classification with authentication, authorisation and RBAC
03

Large bank with 22M+ customers

  • AI governance and MLOps framework for model lifecycle management
  • Centralised feature store managing 700+ real-time and 3,000+ batch features
  • Version control and model registry for consistent deployment
  • Monitoring with prediction logging, data quality checks and compliance tracking
04

Large bank with 1M+ customers

  • Data governance consulting to establish a structured framework
  • Recommendations across data policy, quality and metadata management
  • Best practices for data privacy, lifecycle management and regulatory compliance
  • Risk mitigation frameworks and breach response measures

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.

Book a briefing