Coram AI
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About
Coram AI is a comprehensive physical security platform designed to modernize video surveillance through advanced vision and language models. Unlike traditional systems that require proprietary hardware, Coram integrates with existing IP cameras, allowing organizations to upgrade their security infrastructure without a full rip-and-replace process. The system functions as an AI-first security layer that monitors feeds in real-time, identifying specific threats or safety hazards that human operators might miss during manual monitoring. This approach allows businesses to leverage their current investments while gaining access to cutting-edge detection capabilities. The platform's core functionality revolves around its Physical AI Safety Agents. These agents use large-scale vision models to detect specific incidents such as firearm presence, slip-and-fall accidents, and PPE violations. One of its most distinctive features is the natural language search capability, which allows users to query video footage using plain English—for example, searching for a person in a red shirt across multiple camera feeds simultaneously. This significantly reduces the time required for forensic investigations from hours to minutes, enabling faster incident resolution and reporting across various sites. Coram AI is primarily utilized by IT directors and security managers in sectors such as education, healthcare, manufacturing, and logistics. It is particularly well-suited for multi-campus or multi-site environments where centralizing security oversight is critical. For industries with strict regulatory requirements, like cannabis or healthcare, the platform offers SOC2 Type II compliance, HIPAA readiness, and end-to-end data encryption. The software is designed with usability in mind, featuring a high-rated interface for both administrative tasks and daily monitoring via web or mobile applications. What sets Coram apart from competitors is its flexibility and cost-efficiency. By providing the Coram Point hardware as a one-time purchase rather than a lease, and offering free NDAA-compliant IP cameras with software subscriptions, it lowers the barrier to entry for advanced AI security. The system also includes integrated access control and emergency management tools, such as panic buttons and reunification workflows, creating a unified safety ecosystem rather than a standalone video tool. This combination of hardware ownership and continuous software updates ensures that the security system evolves with the user's needs over time.
Pros & Cons
Integrates with existing IP cameras to avoid costly full-system replacements.
Offers free NDAA-compliant 5MP cameras for users who need new hardware.
Enables rapid forensic search using natural language queries instead of manual scrubbing.
Complies with high-level security standards including SOC2 Type II and HIPAA.
Hardware is purchased as a one-time cost rather than through a complex lease.
Requires a sales consultation for all pricing information as no public rates are listed.
Necessitates the upfront purchase of a proprietary Coram Point unit to function.
Feature updates and cloud dashboard access are tied to a mandatory software license term.
Use Cases
IT Directors in school districts can consolidate camera feeds from multiple campuses and set up real-time firearm detection to save lives during emergencies.
Warehouse managers can automate safety monitoring by receiving instant alerts for PPE violations or slip-and-fall incidents on the loading dock.
Security teams at hospitals can use natural language search to locate specific individuals or vehicles across hundreds of cameras in minutes.
Manufacturing facility managers can track productivity and site safety through automated alerts for unauthorized personnel in restricted areas.
Retail security officers can utilize facial recognition and multi-camera tracking to monitor known shoplifters across different store locations.
Platform
Features
• facial recognition
• license plate recognition
• natural language video search
• soc2 type ii compliance
• multi-camera person tracking
• ppe violation alerts
• slip-and-fall detection
• firearm detection
FAQs
Why isn't pricing publicly available on the website?
Pricing depends on specific factors like the number of locations, types of cameras used, and required days of storage. Potential customers can receive a custom quote within minutes after speaking with the sales team.
Can Coram AI work with my existing cameras?
Yes, Coram is designed to work with any pre-existing IP cameras. The system integrates directly with your current setup, adding AI capabilities without requiring hardware replacement.
What is included in a Coram license?
A license provides access to the Coram Cloud dashboard with unlimited user seats and the option to receive free 5MP NDAA-compliant IP cameras. The required Coram Point hardware is purchased upfront as a one-time cost.
What happens when my software license contract ends?
If you choose not to renew, you retain ownership of the Coram Point hardware and any free IP cameras provided. These devices are standard-compliant and should work with other NVR systems.
How long are the available software license terms?
Coram offers flexible software license durations of 1, 3, 5, or 10 years. During the selected term, the system automatically installs new features and security upgrades.
Pricing Plans
Software License
Unknown Price• Choice of 1, 3, 5, or 10 year license
• Coram Cloud dashboard
• Unlimited user seats
• Free 5MP NDAA-compliant IP cameras
• 24x7 online support
• Natural language search
• Firearm detection alerts
• Automatic feature updates
• Mobile and web support
• Incident tracking
Job Opportunities
Founding Customer Experience Engineer
Enhance existing security cameras with AI-powered firearm detection, natural language search, and real-time alerts to protect schools, warehouses, and hospitals.
Benefits:
Competitive pay
Meaningful equity
Benefits for high-performers
Offers Equity
Education Requirements:
Bachelor’s degree in Computer Science, Networking, Cybersecurity, IT, or related field
Experience Requirements:
Hands-on networking troubleshooting experience in real production environments
Linux experience with command line and diagnostics
Clear, structured communication skills
Strong problem-solving skills
Ability to work onsite
Other Requirements:
Basic scripting experience (Bash, Python)
Familiarity with APIs
Customer-facing technical experience
Exposure to security systems or cameras
Background in cybersecurity
Responsibilities:
Own frontline technical support via Intercom/email
Troubleshoot networking, Linux-based devices, and cloud services
Support customer onboarding and configuration
Maintain organization across multiple customer threads
Contribute to documentation and support workflows
Show more details
Software Engineer - Infrastructure
Enhance existing security cameras with AI-powered firearm detection, natural language search, and real-time alerts to protect schools, warehouses, and hospitals.
Experience Requirements:
3+ years of experience writing production infrastructure running on AWS
Experience with Docker and Kubernetes (particularly EKS)
3+ years of experience with Python, Go or other modern programming language
Building CI / CD pipelines and automation
Self-hosting and maintaining observability tools
Other Requirements:
Edge/IoT infrastructure experience
Remote management of on-prem infrastructure
Maintaining SOC 2 compliance
Building high-volume data-processing pipelines
High intrinsic motivation
Responsibilities:
Writing and maintaining production-grade software code
Provisioning and maintaining resources running on AWS
Building management for thousands of connected IoT devices
Building CI and CD and automation pipelines
Building observability and telemetry
Show more details
Software Engineer - Infrastructure
Enhance existing security cameras with AI-powered firearm detection, natural language search, and real-time alerts to protect schools, warehouses, and hospitals.
Benefits:
Competitive pay
Meaningful equity
Offers Equity
Experience Requirements:
3+ years of experience writing production infrastructure running on AWS
Experience with Docker and Kubernetes
3+ years of experience with Python, Go or modern language
Building CI / CD pipelines
Maintaining observability tools
Other Requirements:
Edge/IoT infrastructure
Maintaining SOC 2 compliance
Building high-volume data-processing pipelines
Responsibilities:
Writing and maintaining production-grade software code
Provisioning and maintaining resources running on AWS
Building management for connected IoT devices
Building CI and CD automation pipelines
Maximising developer productivity
Show more details
Ratings & Reviews
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