Artificial intelligence (AI) has gotten more support from the capital class this week, with the completion of a $2.5 million seed round of financing for Armorway.
The provider of advanced data analytics solutions was running on University of Southern California grants from the Department of Homeland Security, Department of Defense and the US Army Research Office. It has a patented AI platform that delivers descriptive, diagnostic, predictive and prescriptive analytics with cognitive intelligence and deep machine learning to dynamically understand and respond to all types of security threats.
Seed round investors include Aristos Ventures, private angel investors and investment from serial entrepreneurs, founders and executives from several high tech companies.
This seed round will enable Armorway to expand its customer base, continue product development in the cyber-physical enterprise space and expand its R&D team, which includes data scientists, AI and machine learning experts and engineers.
“This seed capital will help Amorway continue advancements in AI and prescriptive analytics, one of the few bright lights over uncertainty in today’s unpredictable security threat landscape,” said Armorway CEO and co-founder Zareh Baghdasarian. “Security organizations of all kinds spend significant time and effort on incident response and investigation—both reactive processes which are inconsistent with the true definition of better safety and prevention.”
Characterized by techniques such as graph analysis, simulation, complex event processing, neural networks, recommendation engines, heuristics and machine learning, Amorway’s solution is in the same category that industry analysts define as a form of advanced analytics which examines data or content that advises actions for desired predictable outcomes.
In February, Armorway introduced Trust, which joins Armorway Sentinel as part of the AI technology platform that improves an organization’s proactive response to active incidents. Trust turns routine internal security checks into threat detection and deterrence, enabling organizations to become more proactive against insider threats, including data theft and physical crime.
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