In partnership with
Generative AI is reshaping industries with adaptive, context-aware capabilities. Yet running real-time applications in the cloud can mean high costs, data bottlenecks, and unacceptable latency. By moving AI workloads to the edge— closer to users—we solve these challenges, delivering real-time responsiveness, stronger data security, and cost efficiency. All through a Telco’s network.
Introducing the Telco AI Cloud Pilot. This pilot is for the next wave of developers building real-time applications. By leveraging a telco’s extensive network—and with the power of our partners AT&T, Dell, and Archetype AI—we’re making it possible to deploy AI workloads at the edge, where data is generated, so you can achieve the intelligence, speed, and efficiency your applications need.
The Telco AI Cloud Pilot (TAC)
How It Works
Developers: Shape the Future of Edge AI with Telco AI Cloud Pilot
Tired of the high latency and soaring costs of running all your AI workloads in the cloud? Partner with us to leverage a telco’s network and bring intelligence directly to the edge—right where data is generated. By shifting your AI processing closer to users, you’ll achieve near-instant insights, reduce operational expenses, and unlock transformative experiences for your customers. Join us and redefine what’s possible in real-time AI.
Why Edge AI Matters
Real-Time Intelligence: For applications and use cases that need Inference immediately for critical operations.
Enhanced Privacy & Security: Keep sensitive data closer to its source.
Cost-Effective Scaling: Avoid the heavy data transfer and compute fees of purely cloud-based solutions.
Come In
We want to hear about the real-time Edge AI use cases you’re working on— whether it’s robotics, video analytics, or immersive AR. By understanding your challenges and goals, we can connect you with our partners at AT&T, and Dell to combine their advanced hardware, software, and network capabilities with your unique application requirements.
Proof of Concept:
Real-Time AI in Action
Our partnership with the City of Bellevue serves as a real-world demonstration of how Edge AI can address critical urban challenges. By leveraging Archetype AI’s physical foundational model (Newton), we are piloting Dynamic Pedestrian Management to create safer and more efficient city intersections.
Key Objectives:
Real-Time Incident Detection: Uses GenAI to identify pedestrian safety risks, such as near-misses, late crossings, or accidents, as they happen.
Dynamic Traffic Management: Communicates directly with traffic management systems to suggest adaptive signal adjustments in real time.
Proactive Safety Alerts: Notifies city officials of high-risk conditions to enable quicker interventions.
Data Source
Data is captured from intersection cameras and crosswalk signals hardwired at traffic intersections.
Inferencing Archetype AI Model
Data from real-time video streams and traffic signals from city infrastructure are fed into Archetype AI’s foundational models to interpret pedestrian events as they occur.
Actionable Insights
Archetype AI provides real-time inference of pedestrian & vehicle incidents, near incidents, or late crossings, providing immediate intelligence to traffic management teams.
The system enables traffic management teams to interact with historical information, generated by Archetype AI’s model, using SLMs to further analyze events.
Feedback Loop
Data from incidents and interventions is logged, enabling continuous enhance of AI models and city-wide traffic strategies.
Technology Stack
Edge AI Architecture: Combines carrier networks, Dell Servers, and GPUs to process data locally.
Newton AI Platform: Manages data orchestration and ensures seamless integration with Bellevue’s existing infrastructure.
Integrated Smart City Systems: Traffic signals and video feeds work in harmony with AI for coordinated action.
Outcomes
Improved Pedestrian Safety: A significant reduction in incidents such as late crossings and near-misses at intersections.
Optimized Traffic Flow: Adaptive signal timing ensures smoother traffic during peak hours.
Scalable Model: A replicable blueprint for other cities to address urban safety and efficiency challenges.
Long-Term Vision
By empowering GenAI to not only detect incidents but also take direct action, such as adjusting traffic lights in real-time, we’re creating the foundation for safer, smarter cities.
The Bellevue POC is a stepping stone toward fully autonomous urban traffic management.
Features & Functionalities
Real-time Monitoring
Live video feeds and dynamic maps display pedestrian activity.
Inspection Log
Captured data of incidents for analysis and manageability.
Intelligence Hub
AI-driven insights and recommendations.
Alert System
Notifications for high pedestrian volume, incidents, and unsafe crossings.
Archetype Analysis
Historical and real-time insights combine multiple metrics to guide proactive measures.
Edge AI delivers measurable benefits across industries. Here’s how:
Manufacturing & Industrial Automation
Predict and prevent equipment failures with AI-powered real-time monitoring.
Agriculture
Optimize irrigation schedules by analyzing soil moisture data in real-time.
Energy
Reduce energy waste by optimizing power distribution through smart grid management.
Telecommunications
Optimize bandwidth and reduce latency by dynamically managing network traffic.
Smart Cities
Adjust traffic signals on the fly to improve flow and enhance safety.
Healthcare
Provide faster diagnostics by analyzing medical imaging locally in clinics or remote areas.
Logistics & Supply Chain
Power autonomous robots to navigate warehouses or deliver packages in real-time.
Automotive
Enable advanced driver assistance features like lane-keeping and collision avoidance.
Retail
Enable cashier-less checkout through localized video and sensor processing.
Security & Surveillance
Detect unusual activities instantly with real-time video and sensor analysis.