Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle with the complexities of migrating data to the cloud, managing big data analytics, and implementing AI/ML solutions, often facing challenges related to data silos, scalability, and the need for specialized expertise. Traditional approaches to these tasks can be costly, time-consuming, and require significant IT resources. Furthermore, healthcare organizations face specific challenges in meeting HL7 FHIR interoperability guidelines for data exchange.
Solution
DataSujh provides a software platform designed to streamline data engineering, warehousing, machine learning, and analytics, available both in the cloud and on-premises. The platform offers data migration services to facilitate cloud adoption, big data analytics solutions for enhanced insights, and AI/ML & MLOps tools for intelligent automation. For the healthcare industry, DataSujh offers Fireshots, a metadata-driven, low-code web services framework that accelerates the development and deployment of FHIR-compliant APIs, eliminating the need to store data in a FHIR data model. DataSujh's solutions aim to empower businesses with innovation by simplifying complex data processes and providing tailored AI solutions.
Target Audience
DataSujh primarily serves organizations in the education and healthcare sectors, as well as other businesses seeking to leverage data analytics and AI/ML solutions to improve decision-making, optimize processes, and drive innovation.
Features
- Data migration services from any platform to desired cloud sources, including Hadoop-to-Hadoop file transfer and migration of legacy data to AWS & Microsoft Azure.
- Big data analytics solutions, including data warehouses, BI reporting, predictive analytics, ETL, and platform migration projects.
- AI/ML & MLOps tools with automated feature engineering capabilities for faster and smarter decision-making.
- Fireshots: A metadata-driven, low-code web services framework for building APIs, enabling rapid development and deployment of complex APIs.
- Template-based approach for creating RESTful APIs, reducing development time and cost.
- Healthcare solutions to accelerate compliance with HL7 FHIR interoperability guidelines.
- Scalable architecture deployable on cloud infrastructure via containers and Kubernetes for high availability.