tenyks.ai: Transforming Video Footage into Strategic Business Intelligence

tenyks.ai is a cutting-edge video intelligence platform developed by a University of Cambridge spin-out, designed to turn camera footage from diverse sources—such as CCTV, drones, satellites, and smartphones—into actionable business insights using advanced AI. Built with a focus on multimodality, simplicity, and reliability, it empowers organizations across Quick Service Restaurants, healthcare, hospitality, retail, education, and logistics to monitor operations in real time and analyze historical data with precision. The platform stands out with its explainable AI approach, ensuring transparency and trust, while delivering powerful capabilities like natural language video search (VideoGPT), multi-camera tracking, smart zone monitoring, custom activity and object detection, sentiment analysis, and dynamic dashboards. With support for low-resolution video and small object detection, it ensures robust performance even in challenging conditions. Its unique "Lakehouse for Visual Data" architecture centralizes visual assets, enabling deep data and model visibility to accelerate MLOps workflows—boosting model deployment speed by up to 8X and improving accuracy on underrepresented classes by 33%. The platform also includes bias detection, embeddings for outliers, and real-time alerts, making it ideal for data-driven decision-making and responsible AI implementation.

Key Features:

• VideoGPT Search: Natural language queries to search and summarize video footage across multiple cameras.
• Livestream Summaries: Automatically generate concise summaries of live video feeds.
• Forensic Analysis: Advanced tools for detailed post-event investigation and review.
• Multi-Camera Tracking: Seamlessly track objects and people across multiple camera views.
• Real-Time Alerts: Instant notifications based on predefined rules or detected events.
• Custom Activity & Object Detection: Tailor detection models for unique business needs, including complex combinations of activities, events, and objects.
• Smart Zone Monitoring: Define virtual zones for automated surveillance and behavior tracking.
• Dynamic Dashboards: Build customizable dashboards to monitor KPIs and operational metrics in real time.
• Explainable AI: Transparent, auditable models with PhD-level expertise in AI ethics and reliability.
• Bias Detection & Data Quality Checks: Proactive tools to ensure fairness and integrity in visual data.
• Embeddings for Outliers: Identify unusual patterns or behaviors using advanced AI embeddings.
• Model Comparison Dashboard: Centralized view to analyze and benchmark models across environments.
• 8X Faster Model Deployment: Accelerates bringing AI models into production for quicker ROI.
• 88% Faster Discrepancy Resolution: Reduces time to identify and fix model performance issues.
• Open-Vocabulary Activity Tracking: Supports detection of over 800 activities with flexibility for new ones.
• Visual Similarity Search: Find visually similar events or objects across video archives.
• Agentic Rules & Recommendations: AI-driven automated decision rules and operational suggestions.
• On-Premise Docker Deployment: Full control with private, secure installations.
• Integration Flexibility: Works with RTSP(S) streaming, NVRs, VMS, S3, Azure, GCP, and Databricks.
• Support for Deep Learning Frameworks: Compatible with PyTorch, TensorFlow, NVIDIA TAO, and TLT.
• White-Glove Onboarding & Training: Customized onboarding from 1 hour to 3 months with bi-weekly sessions.
• Dedicated Support & SLA Options: Tailored support plans based on enterprise needs.

Pricing: Tenyks.ai offers flexible pricing with two models: per camera per month and per hour of footage per month, making it scalable for diverse use cases and deployment sizes.

Conclusion: Tenyks.ai is a transformative, enterprise-grade video intelligence platform that elevates visual data into a strategic asset, combining explainable AI, advanced analytics, and seamless MLOps integration to drive smarter, faster, and more responsible decision-making across critical industries.