The startup offers a data engineering platform that utilizes Databricks to convert raw data into actionable business insights, enabling organizations to enhance growth and manage risks effectively. By implementing scalable architecture and robust data transformation techniques, the platform empowers businesses to leverage financial data for improved decision-making and operational efficiency.
Funding
$2.5M 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
Many organizations struggle to fully leverage Databricks for data solutions, facing challenges in scaling architecture and implementing robust data engineering practices. This often results in unrealized potential and difficulty in transforming data into actionable business outcomes.
Solution
SunnyData provides data engineering services focused on the Databricks platform, helping organizations build a strong data foundation for AI, BI, ML, and data science projects. The company specializes in data engineering, migrations to Databricks, data science and GenAI strategy, and data & AI governance. SunnyData's Databricks-certified engineers work alongside client teams to implement agile project management, automation, and strategic architecture, ensuring projects move from concept to production. By focusing on a strong data engineering foundation, SunnyData helps clients effectively implement advanced technologies and achieve tangible results, enabling data modernization and maximizing the value of their Databricks investment.
Target Audience
SunnyData primarily serves organizations in the Healthcare & Life Sciences and Financial Services industries that are looking to modernize their data infrastructure and leverage Databricks for advanced analytics and AI applications.
Features
- Databricks Lakehouse implementation for a unified platform supporting analytics, data science, and regulatory compliance
- Migrations to Databricks from legacy systems (EDW, Hadoop, Snowflake) with minimal risk and disruption
- Proprietary accelerators for 60-80% faster change management during migrations
- Unity Catalog implementation for standardized data, ML, and AI governance
- Support for SQL workloads, ML Ops, and AI applications
- Scalable architecture for on-demand compute needs
- Expertise in HL7, FHIR, and OMOP data formats for the Healthcare and Life Sciences industries
- Solutions for cost efficiency and revenue optimization, enhancing patient care, and streamlining healthcare operations