CITY Solutions
Policy Design
Good policy is not just informed by data—it is shaped by where and when realities unfold.
By integrating spatial layers (neighborhoods, corridors, exposure zones) with temporal dynamics (daily cycles, seasonal trends, long-term shifts), we can design policies that respond to lived conditions rather than abstract indicators.
Identify who is exposed, where, and for how long
Detect emerging risks before they become systemic
Target interventions with precision rather than blanket measures
Route Optimization
At the core of our approach is carefully designed spatiotemporal data that captures real-world dynamics rather than static maps.
We design spatiotemporal layers by integrating diverse data streams, including:
Traffic counts and speed profiles
Environmental data (air quality, weather, heat stress)
Policy or regulatory constraints
Travel time reliability
Improve demand-aware and equity-focused routing decisions
Population Demographics
Using deep learning models, remote sensing techniques and geographical information systems our novel technique aimed to estimate population counts with exceptional precision, at an impressive resolution of 30 meters by 30 meters.
- Retrieval of block-level population data
- Integration of POIs
- Population estimates for built regions.
Crowd Analytics
CITY has developed an innovative crowd analytics tool that seamlessly transforms video data into actionable insights with use cases across multiple domains. It has been utilized in
- Retail for optimizing customer behavior analysis
- Queue management
- Marketing assessment
- Real-time monitoring of entries and exits
- Pedestrian flow analytics
Traffic Movement
Our Spatiotemporal analysis is used for delineating dynamic movement patterns which inform:
Congestion zones and times
- Peak Times
- Travel behavior
- Traffic management
- Vehicle flows
- Hotspot Detection
Hotspot detection
Using spatiotemporal hotspot detection we transform raw data into foresight—helping cities and communities move from reactive responses to proactive, evidence-based action for
- Vulnerability Mapping
Targeted inspections and enforcement
Adaptive interventions and zoning
Real-time alerts and early-warning systems
Impact evaluation of policies and projects

STEP 1
Innovation
We innovate with you on how to optimize your ideas using Deep Tech

STEP 2
Data Aggregation
We collect, synthesize, and analyze the data through advanced deep learning, GIS, and machine-learning techniques, and quantitative approaches

STEP 3
AI Integration
Our team harnesses AI-powered analysis, predictive modeling, and forecasting to optimize, streamline, and automate your workflows

STEP 4
Sustainable Solution
