Traces.ai: Revolutionizing Video Security with Generative AI

Traces.ai is a cutting-edge AI video analytics platform that leverages Generative AI to transform video surveillance into intelligent, actionable insights. Designed for security, retail, and transportation industries, it enables real-time threat detection, forensic search, and anomaly monitoring with unparalleled accuracy and privacy protection. The platform allows users to search video footage using natural language prompts, instantly identifying people, vehicles, and objects across multiple cameras—even when faces are obscured—while reducing false alarms by over 95%. With robust security features including GDPR and CCPA compliance, AES-256 encryption, and data residency control, Traces.ai ensures privacy and trust. It supports flexible deployment via cloud, on-premises, or hybrid setups with Edge AI appliances, and integrates seamlessly with existing IP cameras, VMS, and NVR/DVR systems. Developers can extend functionality through a powerful Open API, and the platform offers a free, no-commitment pilot to test performance with real-world camera setups.

Key Features:

• Generative AI-Powered Threat Detection: Identifies and prevents security threats using advanced AI models.
• Forensic Search: Instantly locates targets across multiple cameras using natural language queries, with up to 98% accuracy based on camera resolution.
• Video Understanding via Text Prompts: Search video libraries using everyday language to find relevant events in seconds.
• Anomaly Detection: Automatically detects unusual or suspicious behavior in real time.
• Face Blurring for Privacy: Ensures compliance with privacy regulations by anonymizing faces without losing utility.
• False Alarm Filtering: Reduces false alarms by over 95% using AI to distinguish real threats from noise.
• Custom Order Solutions: Tailored deployments for specific enterprise needs, starting from 8+ cameras.
• Multi-Cloud & On-Prem Deployment: Runs on AWS, GCP, or on-premise workstations, including air-gapped environments.
• AI Assistant with Natural Language Interface: Simplifies camera operations, search, and investigations through conversational AI.
• Proprietary Auto-Training System: Continuously adapts to camera setups, improving detection accuracy over time.
• Configurable API & Integrations: Supports Open API, SMTP, and integration with VMS, NVR/DVR, and third-party systems.
• Unique Counting & Anonymous People Tracking: Accurately counts individuals without face recognition or personal data collection.
• Data Residency & Security Compliance: Processes and stores data within the user's country or region; compliant with SOC 1/2/3, GDPR, and CCPA.
• Ethical Hacking & Security Policy: Encourages responsible vulnerability reporting and maintains rigorous security protocols.
• Tracekeep (Contact Tracing App): Bluetooth-based indoor tracking that does not collect personal data, only app installations and user names/emails.

Pricing: Traces.ai offers a volume-based pricing model with discounts for large-scale deployments (1000+ cameras). Custom plans are available for setups with at least 8 cameras. A free, no-commitment pilot is offered to test the platform with existing camera infrastructure.

Conclusion: Traces.ai stands out as a powerful, privacy-first AI video analytics solution that combines generative intelligence with enterprise-grade security, making it ideal for organizations seeking smarter, faster, and more reliable video monitoring across complex environments.