LUMIQ | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Company Directory for LUMIQ
LUMIQ
Overview
LUMIQ is a data transformation company based in Noida, India, specializing in AI-driven data platforms and services for the Financial Services Industry. Founded in 2007, it focuses on enhancing data maturity, enabling Generative AI adoption, and promoting data-driven decision-making. The company develops solutions to address data reliability challenges, transforming raw data into actionable insights for innovation and revenue generation.
With extensive experience in the FSI sector, LUMIQ has completed over 40 global implementations and offers products such as emPower Foundation for data ingestion and unification, and emPower Pryzm for data observability and quality monitoring. Its Generative AI platform supports customer segmentation and data-driven marketing. The company is recognized for its commitment to employee growth, collaboration, and industry compliance.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2007 |
| Revenue | 69.1M |
| Headquarters | B-8, Sector-62, Gautam Buddha Nagar, Tower A, 9th Floor, Noida One Building, Noida, Uttar Pradesh, 201301, India |
Contact Details
- Phone: +91 12 0421 5406
- Website: lumiq.ai
- LinkedIn: linkedin.com/company/lumiqai
Key Focus Areas & Initiatives
- Data exploration
- Data science
- Voice recognition
- Artificial intelligence
- Voice analytics
- Machine learning
- Scalable systems
- Fintech
- Customer360
- Data lake
- Big data
- Cloud
- Insurtech
- MLOps
- Document analytics
- Text analytics
- Data processing
- Container systems
- Data infrastructure & analytics
- Data lineage & catalog
- Data quality assurance
- Data lineage tracking
- Banking
- Business intelligence
- Data privacy & security
- AI solutions
- Data-driven insights
- Data modernization
- Data maturity
- Data governance frameworks
- Cloud-native solutions
- Insurance
- Data governance policies
- B2B
- Data management
- Innovation
- Automation
- Customer experience
- Data risk management
- Financial services industry
- Capital markets
- Data-driven decision-making
- Data architecture
- Data security standards
- Data platform
- Data & AI governance
- Data compliance solutions
- Data integration
- Data transformation
- Data analytics
- Data governance
- Data quality management
- Data observability
- Digital transformation
- Data unification
- Wealth management
- Data democratization
- Risk management
- Customer engagement
- Data quality
- Data observability tools
- ML models
- Regulatory compliance
- AI-driven solutions
- AI/ML models
- Data engineering
- Fraud detection
- Consulting
- Data privacy
- Data security & governance
- Data platforms
- APIs
- Data visualization
- Reporting tools
- Cloud solutions
- Gen AI
- User interface
- Customer insights
- Real-time analytics
- Recommendation systems
- Adjustable data models
- Customer data platform
- Operational efficiency
- Regulatory reporting
- Data monetization
- NLP-driven dashboards
- Customer satisfaction
- Data collaboration
- Incidents identification
- Deep learning
- API development
- Data as a service
- Custom solutions
- Data reliability
- Automated ETL
- Cloud partners
- Data warehousing
- Finance
- Finance technology
- Enterprise software
- Analytics
- Computer & network security
- Investment management
- Cloud computing
Technologies Used
- AWS Budgets
- AWS CloudFormation
- AWS Cost Explorer
- Amazon CloudWatch
- Amazon DynamoDB
- Amazon EC2
- Amazon EC2 Reserved Instances
- Amazon EC2 Spot Instances
- Amazon EKS Anywhere
- Amazon S3
- Android
- CloudFlare Hosting
- Cloudflare DNS
- Data Analytics
- Google AdWords Conversion
- Google Tag Manager
- Lambda Cloud
- Microsoft Office 365
- Mobile Friendly
- Outlook
- Redshift
- Sage
- Terraform
