What is Black Kite?
Black Kite operates at the intersection of cybersecurity and enterprise risk management, offering a platform that transforms how organizations perceive and mitigate third-party vulnerabilities. By replacing traditional, time-consuming qualitative assessments with scalable, automated data analytics, the company provides a clear view of the cyber ecosystem. This approach allows security professionals to identify potential threats before they manifest into operational disruptions, thereby enhancing overall business resiliency. The platform integrates seamlessly into existing risk management workflows, ensuring that stakeholders have access to actionable intelligence that is both relevant and timely.
How much funding has Black Kite raised?
Black Kite has raised a total of $11M across 2 funding rounds:
Angel/Seed
$3.5M
Series A
$7.5M
Angel/Seed (2019): $3.5M, investors not publicly disclosed
Series A (2020): $7.5M led by Glasswing Ventures, Moore Strategic Ventures, and DP Cap Acquisition Corp I
Key Investors in Black Kite
Glasswing Ventures
Glasswing Ventures invests in visionary, early-stage founders who are leveraging AI and frontier technology to transform enterprise and security markets.
Moore Strategic Ventures
Moore Strategic Ventures is a private investment firm that provides capital to high-growth companies across various technology and industrial sectors.
DP Cap Acquisition Corp I
Data Point Capital invests in revenue-stage technology companies that are disrupting large markets in both B2B and B2C sectors.
What's next for Black Kite?
With this major enterprise-level funding, Black Kite is poised to expand its market footprint and enhance its core product offerings. The strategic focus will likely center on deepening the platform's analytical capabilities and broadening its reach within the global enterprise sector. As organizations face an increasingly complex threat landscape, the demand for Black Kite's automated risk assessment tools is expected to grow, providing the company with a significant competitive advantage. Future initiatives will likely prioritize the integration of advanced machine learning models to further refine risk scoring accuracy and support the company's long-term objective of becoming the industry standard for third-party cyber risk intelligence.
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