Coram AI secures $13.8m to transform video surveillance with AI-powered solutions
Coram AI, a leading innovator in artificial intelligence (AI)-powered video security, has raised $13.8 million in Series A funding, bolstered by global investment firm Battery Ventures. This latest investment, which also saw participation from existing backers 8VC and Mosaic Ventures, underscores the growing demand for advanced, hardware-agnostic solutions in the surveillance and security sectors. The funding will support Coram’s efforts to expand its product portfolio and strengthen its engineering and go-to-market teams.
How Is Coram AI Revolutionising Video Security?
Headquartered in Sunnyvale, California, Coram AI’s groundbreaking platform leverages cutting-edge large language models (LLMs) and advanced vision technologies to address longstanding challenges in video surveillance. By integrating seamlessly with existing IP camera systems, Coram provides a hardware-agnostic solution that reduces infrastructure overhead for organisations in sectors such as K-12 education, manufacturing, and logistics.
The platform utilises sophisticated AI-driven video analysis, enabling real-time insights that surpass traditional surveillance methods. Users can conduct natural language searches and deploy virtual security guards capable of identifying complex activities over extended periods. This innovation positions Coram AI as a pivotal player in transforming how security footage is utilised, shifting its role from passive observation to proactive incident prevention and operational enhancement.
Why Does Real-Time Video Analysis Matter for Workplace Safety?
Coram AI’s technology empowers organisations by addressing critical safety and efficiency concerns. In educational institutions, for instance, the platform can issue instant alerts if a potential threat, such as a firearm, is detected on campus. Manufacturing facilities benefit from the ability to pinpoint specific incidents, such as slip-and-fall accidents, within hours of footage, enabling management to implement preventative training measures.
The platform’s ability to detect license plates, recognise faces, and flag known offenders further enhances security measures. With over 80 million security cameras installed across the United States—and more than 500 million globally, excluding China—Coram AI taps into a vast, underutilised data resource. By turning exabytes of unwatched footage into actionable insights, Coram AI is addressing inefficiencies and unlocking new opportunities for operational optimisation.
What Sets Coram AI Apart in the AI Security Landscape?
Coram’s leadership team brings a wealth of experience in AI and robotics, which has been instrumental in the development of its proprietary technology. The company’s co-founders, Ashesh Jain and Peter Ondruska, previously held pivotal roles in Lyft’s autonomous driving program. Jain, Coram’s CEO, holds a Ph.D. in computer science from Cornell University and led the AI and autonomy team at Lyft before its acquisition by Woven Planet, a subsidiary of Toyota. Ondruska, the company’s Chief Technology Officer, earned a Ph.D. in robotics from Oxford University and co-founded Blue Vision Labs, a computer vision startup acquired by Lyft.
Their combined expertise has enabled Coram AI to adapt breakthroughs from the self-driving car industry to the domain of video surveillance. “We envision cameras evolving beyond passive recorders to become proactive agents of public safety,” said Jain. “By applying advanced vision models, we aim to enhance security in a way that respects privacy while delivering unparalleled efficiency.”
What Role Does Battery Ventures Play in Coram AI’s Growth?
Battery Ventures, a technology-focused investment firm, has taken a lead role in funding Coram AI’s expansion. Marcus Ryu, a Battery partner and the former CEO of Guidewire Software, has joined Coram’s board of directors. Ryu praised Coram’s approach, stating, “Ashesh and Peter combine academic rigor in machine learning with practical expertise from the autonomous vehicle sector. This makes them uniquely suited to address the complexities of enterprise video security.”
Ryu also highlighted the platform’s ability to democratise AI for businesses, noting that Coram’s technology offers an intuitive, cost-effective way to extract value from security footage. This capability aligns with broader industry trends toward AI-driven optimisation across verticals, including retail, logistics, and public safety.
How Does Coram AI’s Technology Address Broader Industry Challenges?
Beyond its immediate applications, Coram AI’s platform is poised to tackle systemic issues within the surveillance industry. Traditional security systems often generate immense amounts of footage that remain unexamined, resulting in lost opportunities for insight. Coram’s AI-powered solution addresses this inefficiency by delivering real-time analysis and actionable data.
For example, the Middletown Unified School District in California relies on Coram’s system to safeguard its campuses, while PCC Community Markets in Washington has deployed the platform to enhance store security. These use cases demonstrate Coram’s versatility and its potential to drive value across diverse operational environments.
Coram AI’s innovative approach to video surveillance represents a significant leap forward for the security industry. By combining cutting-edge AI technologies with a user-centric, hardware-agnostic design, Coram is enabling organisations to enhance safety, efficiency, and operational effectiveness. Backed by $13.8 million in Series A funding and guided by an expert team, Coram AI is well-positioned to redefine the role of video in public and workplace safety.
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