What is Terbium Labs?
Terbium Labs operates at the intersection of data science and cybersecurity, providing a comprehensive digital risk protection (DRP) platform known as Matchlight. The company distinguishes itself through patented data-fingerprinting technology, which allows for the continuous monitoring of digital assets across the open, deep, and dark web. By fusing machine learning with dedicated human analysis, Terbium Labs offers enterprises a proactive defense mechanism against data theft, misuse, and exposure. Its market position is defined by high-precision detection and remediation, enabling clients to minimize the impact of inevitable data breaches while maintaining strict privacy standards.
How much funding has Terbium Labs raised?
Terbium Labs has raised a total of $19.2M across 6 funding rounds:
Angel/Seed
$2.3M
Other Financing Round
$3.7M
Series A
$6.4M
Private Equity
$6M
Debt
$350K
Debt
$429K
Angel/Seed (2015): $2.3M, investors not publicly disclosed
Other Financing Round (2015): $3.7M led by Dingman Center Angels
Series A (2016): $6.4M supported by .406 Ventures, LLC.
Private Equity (2017): $6M featuring .406 Ventures, LLC. and Glasswing Ventures
Debt (2020): $350K backed by PPP
Debt (2021): $429K with participation from PPP
Key Investors in Terbium Labs
.406 Ventures, LLC.
.406 Ventures is a venture capital firm that partners with early-stage companies demonstrating home run potential, particularly in the fields of healthcare, data and AI, and cybersecurity.
Glasswing Ventures
Glasswing Ventures invests in visionary, early-stage founders who are leveraging AI and frontier technology to transform enterprise and security markets.
Dingman Center Angels
Dingman Center Angels is an active investment group focused on supporting high-growth startups through early-stage capital and strategic mentorship.
What's next for Terbium Labs?
With the support of its latest strategic financing, Terbium Labs is well-positioned to accelerate its product roadmap and deepen its penetration into the enterprise security market. The company is expected to leverage these resources to enhance its machine learning models, thereby increasing the speed and accuracy of its threat detection capabilities. Furthermore, the strategic focus will likely shift toward scaling operations to meet the global demand for automated digital risk management. As the threat landscape evolves, Terbium Labs remains focused on refining its intelligence-driven approach to ensure that private data remains secure, effectively bridging the gap between complex technical defense and actionable business risk mitigation.
See full Terbium Labs company page
