For decades, physical security has largely remained unchanged. Security teams still spend countless hours reviewing surveillance footage, combing through access logs, checking visitor records, and piecing together fragmented information whenever an incident occurs. While artificial intelligence has transformed industries ranging from finance and healthcare to software development, physical security has remained one of the last major sectors waiting for a technological overhaul.
AI-powered security startup Coram believes that is about to change.
The company has raised $35 million in a Series B funding round co-led by Ansa Capital and Battery Ventures, with participation from existing investors including UP Partners, 8VC, and Mosaic Ventures. The latest investment brings Coram’s total funding to $66 million and signals growing investor confidence in the role artificial intelligence can play in modern security operations.
The fresh capital will be used to accelerate product development, expand the company’s AI capabilities, strengthen its edge infrastructure, and scale go-to-market efforts as demand for intelligent security systems continues to rise.
Founded four years ago by Ashesh Jain and his team, Coram is building what it describes as an AI-native physical security platform—one that goes beyond conventional surveillance systems and enables organizations to investigate incidents, identify threats, and respond to security events faster and more efficiently.
Bringing AI to One of the World’s Largest Industries
Physical security is a massive global industry, but one that has often relied on manual processes and reactive workflows. Security teams typically need to review hours of footage, correlate data from multiple systems, and manually generate reports before arriving at meaningful conclusions.
Coram’s approach is to automate much of that work using artificial intelligence and autonomous agents.
Instead of forcing teams to search through endless video recordings and operational data, the platform can automatically analyze information, identify patterns, conduct investigations, and generate actionable insights in a fraction of the time.
According to the company, its technology is designed to transform security operations from a reactive process into a proactive and intelligent system that helps organizations make faster decisions while improving overall safety and operational efficiency.
The opportunity is significant.
“Physical security is one of the largest industries yet to be transformed by modern AI,” said Allan Jean-Baptiste, Co-Founder and Managing Partner at Ansa Capital.
He noted that organizations today are increasingly looking beyond traditional surveillance tools and are seeking intelligent systems capable of improving safety, operational efficiency, and proactive decision-making.
From Video Security to a Full-Scale Security Platform
Since raising its Series A funding, Coram has significantly expanded the scope of its platform.
What initially started as a video-security solution has evolved into a broader physical security ecosystem that combines video surveillance, access control, emergency management, visitor management, and AI-powered investigations within a single platform.
This evolution reflects a larger shift occurring across the security industry, where businesses are increasingly looking for unified systems capable of managing multiple security functions instead of relying on disconnected tools and software platforms.
Today, Coram serves more than 1,500 locations across various industries and has built its technology to work with existing IP camera infrastructure.
This approach allows organizations to deploy advanced AI-powered security capabilities without having to replace their existing hardware investments, reducing implementation costs and simplifying adoption.
Why Edge AI Is Becoming a Key Differentiator
A major component of Coram’s platform is its use of edge computing.
Rather than sending large volumes of video data to the cloud for analysis, the company’s edge devices run sophisticated AI models locally using NVIDIA GPUs.
This architecture offers multiple advantages.
Processing data closer to where it is generated can reduce latency, improve response times, lower bandwidth requirements, and enhance privacy protections by limiting the amount of sensitive information transmitted to external servers.
As organizations become increasingly concerned about data privacy and cybersecurity risks, edge-based AI is emerging as a critical capability across several industries, including physical security.
For Coram, it has become an important differentiator as customers seek faster and more secure ways to analyze large volumes of security data.
Deep Investigation: The AI Agent Designed to Do the Work of Security Teams
At the center of Coram’s platform is a feature called “Deep Investigation,” an autonomous AI agent developed to dramatically reduce the time required for security investigations.
The system can analyze months of video footage, access records, visitor activity, alarm data, and operational information across multiple locations simultaneously.
Traditionally, such investigations can take hours—and in some cases days—as teams manually gather information from different systems.
Coram says its AI agent can complete many of these investigations in just minutes.
By automatically identifying relevant events, connecting patterns across datasets, and generating investigation reports, the technology aims to free security professionals from repetitive tasks and allow them to focus on higher-priority decision-making.
The capability reflects a broader trend in enterprise software, where autonomous AI agents are increasingly being deployed to handle complex workflows that previously required significant human effort.
Real-World Applications Across Industries
Coram’s technology is already being deployed across a diverse range of environments, demonstrating how AI-powered physical security can extend far beyond traditional surveillance use cases.
At Hershey’s Ice Cream, the platform has been used to quickly identify potential contamination risks during production operations, helping improve visibility into manufacturing processes and quality control measures.
In the education sector, Salem High School has adopted Coram’s AI-powered weapon detection and video search capabilities as part of efforts to strengthen campus safety and enhance threat detection.
Meanwhile, Lakepointe Church in Dallas utilizes the platform to support security operations across multiple campuses serving more than 30,000 congregants.
These deployments highlight the increasing demand for intelligent security solutions that can adapt to different operational environments while providing actionable insights in real time.
The Road Ahead
With fresh funding now secured, Coram plans to deepen its investments in AI research, autonomous agents, and intelligent infrastructure.
The company envisions a future where cameras, alarms, doors, sensors, and other operational systems are seamlessly connected within a unified AI-driven security ecosystem capable of monitoring, analyzing, and responding to events autonomously.
Alongside technology development, Coram will also focus on expanding its sales operations and customer acquisition efforts as it seeks to capture a larger share of the growing market for AI-powered physical security.
The timing appears favorable.
As organizations increasingly seek smarter ways to protect people, assets, and critical infrastructure, demand for AI-driven security solutions is accelerating. Businesses are no longer satisfied with systems that simply record incidents—they want platforms that can understand what is happening, identify risks before they escalate, and help teams act faster.
With $66 million in total funding and a growing customer base spanning more than 1,500 locations, Coram is positioning itself at the forefront of this emerging category.
The company’s latest funding round is not just a vote of confidence in its technology. It also reflects a broader belief that physical security may be one of the next major industries to undergo an AI-driven transformation, with intelligent systems increasingly becoming the foundation of how organizations secure their operations in the years ahead.
