Lumiq

Accelerate data maturity and unlock actionable insights in the Financial Services Industry using purpose-built AI platforms for banking, insurance, and lending.

Lumiq screenshot

About Lumiq

LUMIQ is an enterprise-grade data and AI platform provider specifically designed for the Financial Services Industry (FSI). The company specializes in transforming raw, siloed data into high-value data products that drive decision-making and innovation. By combining advanced data engineering with domain-specific data science, LUMIQ helps institutions in banking, insurance, and capital markets overcome the complexities of data maturity. Their mission is to bridge the gap between raw information and real business impact through a structured approach to data management that emphasizes reliability and usability. The core of the offering revolves around the emPower platform, which includes specific modules like emPower Foundation and emPower Pryzm. emPower Foundation focuses on the critical initial stages of data ingestion and unification, ensuring that disparate data sources are brought together into a cohesive ecosystem. emPower Pryzm provides robust data observability, allowing organizations to maintain high standards of data quality and reliability. Additionally, the suite integrates Generative AI and machine learning accelerators that are pre-configured for financial use cases, such as fraud detection, claims settlement, and real-time investor insights. LUMIQ is tailored for large-scale financial institutions and specialized firms within the FSI ecosystem. This includes insurance companies looking to streamline claims and prevent fraud, banks seeking data-driven insights for customer servicing, and lending institutions that require real-time analytics to increase investor value. It is particularly beneficial for Chief Data Officers (CDOs) and data engineering teams who need to manage complex global implementations but want to avoid building infrastructure from scratch. With over 40 global implementations, the platform supports teams that require high security and strict regulatory compliance. What sets LUMIQ apart is its deep specialization in the financial sector rather than being a general-purpose data tool. With a team of over 350 certified architects and engineers specifically trained in FSI domains, they provide a level of industry-specific architectural expertise that generic platforms lack. The "data product" approach ensures that data is not just stored but curated for specific business outcomes. Furthermore, the platform's commitment to security is evidenced by its extensive list of certifications, including ISO 27001, SOC 2 Type 2, HIPAA, and CCPA, making it a reliable choice for highly regulated environments.

Lumiq pros & cons

Pros

  • Deep domain expertise with 350+ FSI-certified architects and engineers.
  • Comprehensive security compliance including ISO 27001, SOC 2 Type 2, and HIPAA.
  • Proven track record with over 40 global implementations in the financial sector.
  • Accelerates data maturity through purpose-built products rather than generic tools.
  • Supports a wide range of AWS-integrated solutions for efficient cloud deployment.

Cons

  • Does not offer a self-service free tier for small-scale developers or hobbyists.
  • Primary focus is limited to the Financial Services Industry, making it less suitable for other sectors.
  • Pricing is not transparently listed and requires a direct consultation with the sales team.

Lumiq use cases

  • Insurance claims managers can automate and streamline settlement processes while using AI to detect and prevent fraudulent activities.
  • Banking data engineers can unify siloed customer information into a single profile to offer personalized loan journeys and instant identification.
  • Lending institutions can utilize real-time data insights to increase investor value and improve decision-making speed.
  • Chief Data Officers at FSI firms can accelerate their organization's data maturity by turning raw data into ready-to-use data products.
  • Capital markets operations teams can leverage smarter operational insights to drive business excellence and reduce manual oversight.

Lumiq features

  • data ingestion & unification
  • cloud-native architecture
  • data product creation
  • unified customer profiling
  • real-time lending insights
  • fraud prevention tools
  • generative ai accelerators
  • data observability (pryzm)

Lumiq pricing

Is Lumiq free? No, Lumiq doesn't offer a free plan.

Enterprise

Price varies

  • emPower Foundation access
  • emPower Pryzm observability
  • Gen AI & ML accelerators
  • FSI-certified architect support
  • Enterprise security compliance

Lumiq FAQs

What industries does LUMIQ primarily serve?

LUMIQ is purpose-built for the Financial Services Industry (FSI), including banking, insurance, capital markets, and lending. The platform and its accelerators are designed to handle the specific data complexities and regulatory requirements of these sectors.

What are the main components of the emPower platform?

The platform features two primary modules: emPower Foundation for data ingestion and unification, and emPower Pryzm for data observability. Together, they help organizations manage the entire data lifecycle from raw intake to quality monitoring.

Does LUMIQ support Generative AI implementation?

Yes, LUMIQ offers specialized Gen AI solutions and accelerators designed for enterprise-level financial applications. These tools help businesses integrate advanced AI capabilities while maintaining security and domain relevance.

What compliance certifications does the platform hold?

LUMIQ is built for highly regulated environments and maintains multiple certifications, including ISO 27001, SOC 2 Type 2, HIPAA, and CCPA. This ensures that client data is handled with enterprise-grade security and privacy standards.

Can LUMIQ help with insurance claims processing?

Yes, the platform includes specific solutions for the insurance industry to streamline claims settlement and prevent fraud. It uses data engineering to create unified customer profiles, enabling faster and more accurate processing.

Open roles

All AI jobs

Lead DevOps Engineer

Benefits:

  • Opportunity to contribute to an entrepreneurial culture

  • Collaborative and innovative work environment

  • Competitive Salary Packages

  • Group Medical Policies

  • Equal Employment Opportunity

Education Requirements:

  • Bachelor's Degree in Computer Science, Technology or equivalent experience

Experience Requirements:

  • 4-8 years work experience

  • 6+ years of experience in the role of infrastructure, DevOps, platform or SRE engineering

  • Proven experience in leading and managing a team of DevOps engineers

Other Requirements:

  • Expert knowledge of Linux system & networking internals

  • Significant experience with AWS, GCP, Azure

  • Hands-on with Terraform or others

  • Solid understanding of Kubernetes, helm and service mesh

  • CI/CD on cloud

Responsibilities:

  • Lead DevOps team

  • Oversee day-to-day operations

  • Ensure effective stakeholder management and executive reporting

  • Establish best practices and efficient DevOps designs

  • Mentoring & coaching fellow engineers

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Senior DevOps Engineer

Benefits:

  • Opportunity to contribute to an entrepreneurial culture

  • Collaborative and innovative work environment

  • Competitive Salary Packages

  • Group Medical Policies

  • Equal Employment Opportunity

Education Requirements:

  • Bachelor’s degree in computer science, Engineering, or a related field

  • Master's degree preferred

Experience Requirements:

  • 4-8 years work experience

  • 3+ Years of experience in the role of infrastructure, DevOps, platform

  • Thorough understanding of software development lifecycle

Other Requirements:

  • Sound knowledge of Linux system & networking internals

  • Experience working with AWS, GCP, Azure

  • Hands-on with IAC - Terraform or others

  • Kubernetes, helm and service mesh deployments

  • Server-side scripting using bash, python

Responsibilities:

  • Design and implement DevOps solutions

  • Build robust DevOps processes for efficiency and scalability

  • Focus on automation within the project landscape

  • Ensure scalable, secure, and efficient deployment processes

  • Drive continuous improvement in operational workflows

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