Co-founder/director of algorithm
Ultipa
Ultipa provides a real-time graph database that utilizes high-density parallel computing technology to perform ultra-deep queries and complex analytics on large datasets. This enables enterprises to efficiently uncover hidden insights and relationships within their data, significantly improving decision-making processes in sectors like finance and healthcare.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 23 months ago
Funding
Raised to date
$21MRaised 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.
Funding rounds are not available yet.
Founders
Ricky Sun
Founder/Chief Executive Officer
Product
Problem
Enterprises struggle to efficiently analyze large, complex datasets to uncover hidden relationships and insights, hindering effective decision-making. Traditional database systems often lack the speed and scalability required for ultra-deep queries and complex analytics on interconnected data.
Solution
Ultipa provides a real-time graph database that leverages high-density parallel computing (HDPC) technology to enable ultra-deep queries and complex analytics on massive datasets. The platform allows businesses to efficiently identify hidden patterns and relationships within their data, leading to improved decision-making across various sectors. Ultipa supports the GQL (Graph Query Language) standard and offers features like hot-pluggable algorithms and eXplainable AI (XAI) to enhance analytical capabilities. Ultipa Cloud provides a cloud-based Database as a Service (DBaaS) solution, integrating Ultipa Server and Ultipa Manager for easy deployment and use.
Target Audience
Ultipa targets enterprises across industries such as finance, healthcare, and technology that require real-time analysis of complex, interconnected data for applications like risk management, fraud detection, and personalized services.
Features
- High-Density Parallel Computing (HDPC) technology for microsecond and ultra-deep queries (>30 hops)
- HTAP (Hybrid Transactional/Analytical Processing) clusters for faster time-to-market and reduced TCO
- Over 100 hot-pluggable graph algorithms for advanced analytics
- eXplainable AI (XAI) to provide transparency and understanding of analytical results
- Graph-native UQL (Ultipa Query Language) and visualization tools for ease of use
- Ultipa Cloud DBaaS for simplified deployment and pay-as-you-go pricing
- Support for GQL (Graph Query Language) standard
- Toolchain including Deployer, CLI, Maker, Transporter, and Manager for data integration, ETL, modeling, and visualization