EOS3 for Smart Cities

AI-Native Operating System for Urban Governance

Background & Challenges

With the explosive growth of urban data across transportation, security, energy, e-government, and IoT, traditional “smart city”platforms are hitting their limits.
Legacy systems are fragmented, with AI often added as an afterthought — leading to weak real-time performance and poor cross-department coordination.

The next generation of smart cities requires an AI-Native architecture — integrating compute, communication, decision-making, and execution into one seamless operating system.

EOS3 Positioning

EOS3 = City-Level AI-Native Operating System

Three core layers：

Kaya (Body Layer) → GPU pooling & compute virtualization, high-performance inference backbone

Pradya (Soul Layer) → Semantic graph + causal reasoning, the “city brain” for decision simulation

Karma (Agent Layer) → Multi-agent collaboration, digital agents executing tasks across departments

�� EOS3 enables cities to leap from digitalization to AI-Native transformation.

Technical Highlights

1. Communication & Data Flow

High-speed, low-latency, scalable wireless backbone

Aggregates city-wide multi-source data (video, IoT, connected vehicles) in real time

Supports high-mobility scenarios: emergencies, metro, autonomous driving

2. Unified Visualization – “One Map”

2D/3D maps fused with sensors, video, IoT data

One screen for full city view, one map for holistic management

Dynamic patrols, risk alerts, and intelligent dispatch

3. EOS3’s Three-Layer Intelligence

Kaya: Compute-as-a-Service, tokenized allocation → GPU utilization ↑2–3×

Pradya: Causal reasoning, multi-path simulation, emergency rehearsal → trusted, explainable decisions

Karma: Digital agents automate execution across departments, with HITL (human-in-the-loop) collaboration

Application Scenarios

1. Smart Transportation: Real-time traffic data → Pradya simulation → adaptive traffic light scheduling → Karma agents send alerts to public & agencies.

2. Public Safety: Unified city monitoring → AI anomaly detection → Pradya emergency simulation → Karma agents coordinate multi-department responses.

3. Energy Management: Kaya predicts load → Pradya simulates strategies → Karma executes automated allocation.

4. Urban Governance: Departmental agents draft reports → leadership agent approves → citywide automated execution.

Differentiated Value

Capability

Differentiation

AI-Native Architecture

Embedded AI from system core, real-time inference, no add-ons

Kaya Compute Pooling

GPU virtualization + tokenized operation → higher utilization & scalability

Pradya Decision Engine

Semantic graph + causal reasoning → from “experience-driven” to “simulation-driven” governance

Karma Digital Agents

Cross-department automation, reducing human delays

High-Speed Communication

City-level multi-source aggregation, supports high-mobility IoT scenarios

Unified “One Map”

One screen for full-city visualization, 3D governance, improved coordination

EOS3 Smart City Solution is a globally leading AI-Native platform:

1. AI-Native by Design: Embedded intelligence, real-time response, compliant with local regulations.

2. High-Speed Communication: Low-latency city-wide data backbone, enabling autonomous transport & emergency response.

3. Unified ‘One Map’: Fusing maps, video, and IoT data into one screen, one map for city management.

4. Closed-Loop Intelligence: Kaya + Pradya + Karma ensure a complete cycle from compute → decision → execution.”

Collaboration Models

Customized Deployment: Tailored to national regulations and city data standards

Ecosystem Partnerships: Open APIs for local AI/IoT vendors to integrate

Pilot Demonstrations: Start with transportation, emergency, or safety → expand citywide

EOS3 for Smart Cities = Kaya Compute + Pradya Decision + Karma Agents + High-Speed Communication + Unified Visualization

Core value: An AI-Native architecture that empowers cities with predictive, proactive, and automated governance.

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