What is TigerGraph?
TigerGraph operates on the foundation of the industry's first and only distributed native graph database, empowering advanced analytics and machine learning applications. Its platform is instrumental in areas such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph development, cybersecurity, supply chain optimization, and network analysis. Headquartered in Redwood City, California, TigerGraph's technology is designed to handle complex, connected data, providing deep insights for a wide array of enterprise needs.
How much funding has TigerGraph raised?
TigerGraph has raised a total of $169M across 4 funding rounds:
Series A
$31M
Series B
$32M
Debt
$1M
Series C
$105M
Series A (2017): $31M with participation from Danhua Capital, AME Cloud, Baidu, Morado Ventures, DCVC, Qiming Venture Partners, and Ant Financial
Series B (2019): $32M led by SIG
Debt (2020): $1M supported by PPP
Series C (2021): $105M featuring Tiger Global
Key Investors in TigerGraph
Danhua Capital
Danhua Capital is a venture fund specializing in early-stage and growth-stage companies with disruptive technology, focusing on AI, Big Data, and Enterprise Software. They aim to provide startups with extensive resources for global success.
AME Cloud
AME Cloud Ventures, led by Yahoo! co-founder Jerry Yang, invests in companies building data infrastructure and value chains, supporting entrepreneurs with operational experience and a strong network.
Baidu
Baidu is a leading Chinese internet portal and technology company, providing search engine services, mobile search, maps, and online marketing solutions.
What's next for TigerGraph?
With substantial enterprise-level backing, TigerGraph is strategically positioned for accelerated growth and market expansion. The company's focus on providing a robust, scalable graph database solution for complex analytics and AI applications indicates a trajectory towards deeper integration within critical enterprise functions. Future developments are likely to center on enhancing its machine learning capabilities, expanding its ecosystem of partners, and further solidifying its position as a leader in the connected data analytics space. This sustained investment signals a strong commitment to innovation and market penetration.
See full TigerGraph company page
