What is TigerGraph?
TigerGraph operates on the foundation of the industry's first and only distributed native graph database, empowering sophisticated analytics and machine learning applications. Its technology is instrumental in areas such as fraud detection, anti-money laundering (AML), entity resolution, customer 360 insights, recommendation engines, knowledge graph construction, cybersecurity, supply chain optimization, and network analysis. Headquartered in Redwood City, California, TigerGraph is positioned at the forefront of enabling deep insights from complex, interconnected datasets.
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 DCVC, AME Cloud, Ant Financial, Danhua Capital, Morado Ventures, Baidu, and Qiming Venture Partners
Series B (2019): $32M led by SIG
Debt (2020): $1M supported by PPP
Series C (2021): $105M featuring Tiger Global
Key Investors in TigerGraph
Tiger Global
Tiger Global is an independent contract manufacturing and sourcing group based in the United Kingdom, founded in 2003. Their involvement suggests a strategic interest in companies with robust operational and technological foundations.
SIG
SIG is a major European supplier of specialist insulation and interior fit-out products, roofing materials, and exterior solutions, operating across multiple countries. Their investment in TigerGraph indicates a potential interest in data-driven optimization within their own complex supply chain and operational networks.
DCVC
DCVC is a deep tech venture capital firm that invests in entrepreneurs tackling significant global challenges, with a focus on leveraging artificial intelligence. Their investment in TigerGraph aligns with their strategy of backing companies at the cutting edge of AI and data analytics.
What's next for TigerGraph?
The substantial enterprise-level funding TigerGraph has attracted indicates a strong market validation and positions the company for accelerated growth and innovation. This capital infusion is expected to fuel further development of its distributed native graph database technology, enhance its machine learning capabilities, and expand its market reach. Strategic investments will likely focus on scaling its platform to meet the increasing demand for advanced analytics in critical sectors like finance, cybersecurity, and supply chain management, solidifying its role as a key player in the big data and AI landscape.
See full TigerGraph company page
