HEXANIKA provides an AI-driven data management platform that automates regulatory reporting and data governance, enabling organizations to achieve over 50% cost savings and faster deployment times. The solution addresses the challenges of complex data integration and compliance by offering customizable reports and self-service capabilities without the need for extensive coding.
Funding
$63.2K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial institutions face increasing pressure to comply with complex and evolving regulatory reporting requirements. Traditional methods involve manual data integration and report generation, leading to high operational costs and potential compliance risks. These legacy systems often lack the flexibility to adapt to new regulations and require extensive coding for customization.
Solution
HEXANIKA offers an AI-powered data management platform designed to automate regulatory reporting and data governance processes. The platform provides end-to-end data readiness as a service, leveraging advanced algorithms and machine learning to streamline data integration, standardization, and validation. By offering customizable and configurable reports, HEXANIKA enables organizations to generate accurate and timely regulatory filings without extensive coding. The solution aims to reduce operational costs, accelerate deployment times, and improve data auditability, ensuring compliance with evolving regulatory mandates.
Target Audience
The primary target audience includes financial institutions, such as banks, insurance companies, and mortgage providers, that are subject to regulatory reporting requirements like TAX/TIN and mortgage reporting.
Features
- AI-driven data integration and standardization for regulatory reporting
- Customizable and configurable report templates for various regulatory requirements
- Automated data validation and reconciliation processes
- End-to-end data readiness as a service with managed services options
- Advanced algorithms and machine learning for data governance
- 100% self-service capabilities with a low-code/no-code interface
- Cloud-based architecture for scalability and flexibility