lakant.io is a cloud-native solution optimized for financial index data. Built on Microsoft’s latest data platform, it ensures security, scalability, and flexibility. By centralizing and standardizing data from multiple vendors, it streamlines workflows and guarantees data quality. Its openness allows seamless integration with existing systems, promoting interoperability. Most importantly, our data standardization approach ensures consistency and accuracy, empowering organizations with reliable data for informed decision-making.

Cloud Native

Built on top of Microsoft’s latest data platform, lakant.io has been designed from the ground up to be secure, scalable, flexible, and able to leverage all that cloud-computing has to offer.

Specialized Data Management Platform

Dedicated to the aggregation and delivery of financial index data, lakant.io is optimized for integrating and delivering high volume of index data from multiple vendors. lakant.io is a data management platform that centralizes and standardizes financial data from various sources.

It helps organizations streamline their data workflows and ensure data quality and consistency.

Open

Lakant’s open technology enhances your current systems by seamlessly integrating with your existing data pipelines, or by replacing all your index data feed processes to provide the most comprehensive experience.

This openness allows clients to easily connect Lakant’s data services with their existing infrastructure, promoting interoperability and flexibility.

Data Standardization Driven

The platform normalizes data from numerous sources into a uniform format, ensuring consistency and accuracy across the platform. This involves harmonizing naming conventions, data structures, and formats. We use one unified data model for all index data vendors, ensuring uniformity in how data is stored and accessed.

Our advanced data standardization technologies guarantee consistency, accuracy, and reliability of your data. Our centralized index data hub ensures that all data conforms to uniform standards.