Dragonfruit AI

What Dragonfruit AI does

Dragonfruit AI is an enterprise video intelligence platform that transforms existing IP and CCTV camera feeds into actionable insights. It helps organizations improve security, reduce risk, optimize operations, and create measurable business impact. The platform uses computer vision and a patented Split AI architecture, combining edge and cloud processing, to deliver fast, scalable insights without heavy infrastructure. It offers a suite of AI agents for various use cases, including loss prevention, operations compliance, marketing & customer experience, and campus security. Dragonfruit AI is designed for multi-location enterprises, works with existing VMS and camera systems, and is engineered to excel even in bandwidth-constrained environments. It is SOC 2 Type II compliant and focuses on providing a low total cost of ownership.

Products

• Unified Vision PlatformAn all-in-one enterprise AI platform that turns video into actionable insights, helping organizations improve security, reduce risk, optimize operations, and create measurable business impact.
• AI AgentsPurpose-built AI agents for various use cases, available à la carte, targeting high-cost operational blind spots. These agents can be deployed individually or as a complete suite.
• Loss Prevention & Asset Protection SuiteA suite of intelligent agents that support loss prevention teams 24/7, monitoring, detecting, and preventing risks to reduce shrink, prevent intrusions, streamline investigations, and protect high-value assets.
• Operations Compliance SuiteDelivers real-time visibility into product displays, employee compliance, and daily operations across locations, ensuring every store looks and operates as it should.
• Sales Analysis ToolsModular tools for high-impact loss prevention, including exception-based reporting, customer-not-present analytics, and loss detection across manned and self-checkout lanes.
• Traffic Analysis SolutionAI agents that turn video into actionable insights for marketing and customer experience leaders, providing full-store visibility, understanding shopper journeys, and measuring campaign impact.
• Campus Security SolutionAI-powered video monitoring to upgrade campus safety, empower security teams, and protect communities with features like AI Fast Forward & Search, Investigations Management, and Camera Monitoring.
• Intrusion Alarm AgentsModular AI agents that turn existing cameras into smart, real-time security systems to detect and deter threats like loitering, fence jumping, and wrong-way movement.
• Video Surveillance Analysis and Storage PlatformA platform for video surveillance analysis and storage, including cloud-based software-as-a-service (SaaS), hardware and hardware accessories, and professional services.
• Dragonfruit CloudA scalable cloud layer for video management, search, monitoring, and analytics across all locations.

Key capabilities

• One Unified AI platform
• Enterprise-Grade AI
• Lowest TCO in the Industry
• No Expensive Hardware Investment
• Works with existing VMS and camera systems
• Scalable across locations and teams (dozens to thousands of sites)
• Patented Split AI architecture (edge-first processing)
• Environment-Trained Visual AI models
• High-Performance Edge + Cloud Architecture
• Self-Learning Automation
• Centralized management dashboard
• Real-time threat detection
• Operational insights surfacing
• Workflow triggering
• A la Carte AI Agents
• SOC 2 Type II compliant
• End-to-end encryption
• Role-Based Access Control (RBAC)
• Audit logging
• Multi-Site Scalability
• Natural Language Video Search
• Visual Compliance Monitoring
• Real-Time Alerts & Dashboards
• AI Fast Forward & Search
• Investigations Management
• Camera Monitoring (health, uptime, resolution, bandwidth)
• Low-cost Cloud Storage
• Centralized View from Multiple VMS Systems
• Easy Video Retrieval and Management
• Modular and layered pricing plans
• Integrates with Access Control & Alarm Panels
• Seamless Integration with Marketing & Ops Systems (POS, CRM, customer engagement platforms)
• AI-aided fault identification
• Near-real-time alerting of detected issues
• Camera image snapshots
• On-demand reports
• Securely Shared Investigations
• High Volume Management (thousands of cameras)
• Plug-and-Play Setup (Apple Mac mini)
• Go Live in Days, Not Months
• Full Support for Complex Environments (multiple VMS, limited bandwidth)

Use cases

• Improving security
• Reducing risk
• Optimizing operations
• Creating measurable business impact
• Detecting threats in real time
• Investigating incidents faster
• Protecting assets across every site
• Improving workforce efficiency
• Ensuring process compliance
• Reducing operational risk
• Understanding shopper journeys
• Analyzing dwell patterns
• Measuring display engagement
• Connecting behavioral insights to sales
• Deploying AI-powered video analytics seamlessly
• Unifying analytics across all sites
• Reducing shrink
• Preventing intrusions
• Streamlining investigations
• Monitoring camera health
• Accessing footage remotely
• Detecting empty shelves, missing signage, untidy displays
• Surfacing policy violations (e.g., missed breaks, improper phone use)
• Identifying early signs of operational issues (e.g., spills, blocked aisles)
• Monitoring safe access or empty containers
• Tracking recurring issues over time
• Customer-not-present analytics
• Loss detection across manned and self-checkout lanes
• Proving campaign impact with real-world conversion data
• Designing store experiences that keep shoppers moving and buying
• Understanding who's visiting and what grabs their attention
• Reducing queue times
• Turning store associates into conversion catalysts
• Accurate, camera-based traffic counts with dwell time tracking
• Accelerating investigations for campus security
• Finding persons of interest quickly
• Monitoring IP video critical infrastructure
• Correlating video evidence with other incident data
• Maintaining required video records for cannabis compliance
• Responding to compliance requests quickly
• Lowering the cost of long-term footage management
• Detecting loitering, fence jumping, wrong-way movement
• Automating security monitoring 24/7
• Reducing false alarms
• Accelerating response time for security incidents
• Managing multiple VMS vendors
• Consolidating feeds, configurations, and access controls
• Monitoring uptime, resolution, bandwidth, and visibility of cameras
• Archiving key footage, annotating events, and exporting clips as shareable digital case files
• Cross-site search and AI tagging for investigations
• Self-checkout fraud detection

AI approach

Dragonfruit AI uses computer vision and generative AI to turn video data from existing IP and CCTV cameras into actionable insights. Their patented Split AI architecture processes critical AI on edge devices (like Apple Mac Mini) for real-time insights, while the cloud handles centralized management, search, and long-term analysis. Their models are trained on real-world environments across industries, not generic datasets, ensuring higher accuracy. The system also features self-learning automation, continuously adapting to the environment.

Tech named: Apple M1, Generative AI, Computer Vision, Split AI architecture, Environment-Trained Visual AI, Self-Learning Automation, Qdrant (vector search)

Industries served

• Retail
• Multi-location enterprises
• Loss Prevention & Asset Protection
• Operations & Compliance
• Marketing & Customer Experience
• IT & Infrastructure
• Campus Security
• Healthcare
• Cannabis Industry
• Warehouses
• Facilities

What it says sets it apart

• Unified vision platform for multi-location enterprises
• Powered by Apple M1 and Generative AI
• Engineered to excel in bandwidth-constrained environments
• Global presence and robust patent portfolio
• Lowest TCO in the Industry
• No expensive hardware investment (works with existing cameras/VMS)
• Patented Split AI architecture (edge-first processing)
• Environment-Trained Visual AI models for higher accuracy
• Self-Learning Automation that adapts over time
• Scalable by Design (dozens to thousands of sites)
• Gartner-Recognized Innovator (2024 Hype Cycle for Computer Vision)
• Fortune 500 Proven partner
• Per app pricing for flexibility and budget control
• SOC 2 Type II compliant with end-to-end encryption, RBAC, and audit logging
• 95%+ accuracy in busy, real-store environments
• 99.9% reduction in false alerts
• Zero noise, no missed events, just reliable insight
• Cost-efficient edge compute (Apple Mac mini)
• Low-cost cloud storage for cannabis compliance
• Simple UI and lifecycle management tools for non-technical staff
• Responsive, knowledgeable support with clear SLAs and direct technical engagement
• Transparent pricing without hidden add-ons or hardware surprises
• Unified oversight across fragmented VMS and NVR setups
• Built-in security for role-based access and audit logging
• Proactive monitoring of camera infrastructure with automated alerts
• Go Live in Days, Not Months with centralized onboarding