The Problem
Today's mobility data systems are fragmented, static, and
often outdated, leading to:
- Inefficient traffic management.
-
Suboptimal public transport and ride-sharing
experiences.
-
Missed opportunities for sustainability and policy
innovation.
Existing platforms like IUDX (Data Kaveri) and API Setu have
made strides but fall short in delivering real-time insights
and actionable intelligence.
Our Solution: SMDX
SMDX bridges the gap with a platform designed for
real-time data aggregation, analysis, and actionable
insights. By integrating AI, machine learning, and secure
protocols, it empowers cities and businesses to make
smarter decisions.
Key Features
-
Data Interoperability:
Supports diverse formats and connects public and private
providers.
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Real-Time Data Exchange:
Provides live updates and dynamic decision-making.
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AI and ML Integration:
Predictive analytics for traffic and demand forecasting.
-
Enhanced Security and Privacy:
End-to-end encryption and GDPR compliance.
-
Scalability and Modularity:
Grows with urban needs and allows modular expansions.
Real-World Applications
-
Urban Mobility Transformation:
Manage public transport, ride-sharing, and
micro-mobility on one platform.
-
Traffic Optimization:
Reduce congestion with dynamic insights.
-
Sustainability Initiatives:
Support EV networks and reduce carbon footprints.
-
Policy Innovation:
Enable governments to create impactful mobility
policies.