URBAN INTELLIGENCE PLATFORM

Engineering
Resilient Cities.

City Sense develops intelligent IoT, AI, and data-driven solutions that empower cities with real-time insights, resilient infrastructure, and smarter decision-making across urban ecosystems.

CITTIC
Incubated at CUSAT
Dec 2025
Established
Smart City Ecosystem Illustration
ABOUT CITY SENSE

Incubated startup building urban intelligence

City Sense is a technology startup incubated at CITTIC focused on building intelligent solutions for modern cities. Leveraging IoT, AI, cloud platforms, and real-time data systems, we develop technologies that improve urban infrastructure, environmental monitoring, public safety, and operational efficiency.

Working closely with researchers, industry experts, and government stakeholders, we bridge the gap between academic innovation and practical deployment—creating scalable, reliable, and impact-driven solutions for the cities of tomorrow.

CITTIC, CUSAT
Incubated Startup
REGISTERED FIRM
Est. Dec 2025
THE SYSTEMIC PROBLEM

Drainage fails silently.
Cities respond too late.

In densely populated urban areas, a drainage blockage can cause significant waterlogging within 20–30 minutes. The failure is invisible — until it isn't.

2018
KERALA FLOODS

The worst flood in nearly a century. Kochi was one of the hardest-hit cities — with urban drainage failure cited as a primary amplifier.

80%
URBAN FLOOD CAUSES

Of urban flood events in Indian cities are attributed to drainage system failures, not river overflow — yet monitoring remains river-centric.

LEGACY
CURRENT APPROACH

Municipal drainage monitoring relies on manual inspection and citizen complaints. By the time a blockage is reported, flooding has already begun.

The gap: No city in Kerala has a real-time, distributed, automated drainage monitoring system. That is what City Sense is building.
FLAGSHIP SOLUTION

The DMFS Architecture

A distributed IoT framework developed in collaboration with the original patent holders to detect flood risk inside urban drainage corridors — before water ever reaches the street.

Rugged In-Situ Nodes

Custom IP67/IP68 waterproof, corrosion-resistant enclosures engineered for harsh underground drainage conduits and continuous submerged operation.

Adaptive Mounting

Non-invasive mechanical integration optimized for instant installation within U-drain, V-drain, or closed box-drain channel cross-sections.

Power Autonomy

Ultra-low power configurations delivering 1–2 year maintenance-free battery lifecycle with future integrated GPS node-positioning updates.

Edge Processing

Nodes poll sensors every 5 seconds, computing a rolling 1-minute mathematical average (12 data slices) to neutralize splash noise before transmitting.

Real-Time Alert Engine

Triggers a dual-tiered alert pipeline: direct telemetry dashboards inform municipal engineers, while automated localized warnings alert residents and motorists of imminent flood risk.

Weather Cross-Reference

Nodes query real-time weather APIs. If rainfall is zero but water height scales to maximum, the system confirms a structural blockage instead of a weather-related flood alert.

Flagship Production System

Drainage Monitoring & Flood Alert System (DMFS)

A distributed IoT framework engineered to monitor the city's drainage network from the inside out. Designed for localized node mesh integration, DMFS computes infrastructure flow metrics and level readings in real time to capture blockages before surface waterlogging can materialize.

Hardware Nodes
~10/km
Polling Rate
5 Sec
Alert Latency
<5 Min
Initiate Pilot Agreement →
DMFS: Drainage Monitoring & Flood Alert System

Drainage Data Collection

Nodes 1 and 3 send local data to Node 2 (Master)

Node_1
Node_2 (Master)
Node_3
Initiate Pilot Agreement →
DATA ARCHITECTURE

Edge Intelligence & Data Processing

How City Sense acquires, validates, and stores critical urban drainage metrics.

Rolling-Average Noise Filtration Illustration
Edge Signal Filtering

Rolling-Average Noise Filtration

Edge nodes poll physical sensors every 5 seconds, computing a rolling 1-minute mathematical average (12 data slices) to neutralize noise from structural splashing or wave action.

False-Alarm Edge Mitigation Illustration
Applied Logic Moat

False-Alarm Edge Mitigation

Nodes query real-time external Weather APIs. If rainfall is zero but water level rises to critical, the system confirms a structural blockage alert instead of a rainfall-induced flood alert.

Firestore Ingestion Moat Illustration
Data Moat

Firestore Ingestion Moat

Every operational minute of our active DMFS deployment acts as cold storage ingestion for Firestore, mapping out the multi-variant datasets required to fuel our upcoming environmental AI.

INSTITUTIONAL VALIDATION

Vetted & Backed by National Frameworks

Built with rigour. Recognised by institutions. Validated by government infrastructure frameworks.

Patent No. 565002
1 Lakh RUSA Grant
ㅤCITTIC Incubated
Tested & Simulated
PATENT COLLABORATION

Drainage Telemetry Architecture

Patent No. 565002 (App No. 202441039460) — IoT-Based Drainage Monitoring and Flood Alert System. City Sense actively develops and refines this architecture via a mutual innovation agreement with the original patent holders.

FUNDING FRAMEWORK

RUSA Development Grant

Formally backed and sanctioned under the Rashtriya Uchchatar Shiksha Abhiyan (RUSA) framework, Ministry of Education, Government of India, for specialized edge prototype operationalization and field deployment.

Ecosystem Validation

CITTIC

Incubated Startup Infrastructure
Formally operating out of the Centre for Innovation, Technology Transfer and Industrial Collaboration at the Cochin University of Science and Technology (CUSAT), Kochi.

Patent No: 565002 (App No. 202441039460) · Title: IoT-Based Drainage Monitoring and Flood Alert System · Inventors: Dr. Santosh Kumar, Dr. Daleesha M. Viswanathan, Ananthu T. J., Sony K. Martin, and Joyal Kusmos · Collaboration: CitySense is currently developing and enhancing this drainage monitoring and flood alert solution in collaboration with the original patent holders, with a focus on improving scalability, deployment readiness, and urban impact.
PRODUCT PIPELINE

Multi-Pronged Scaling

Strategic rollout of urban infrastructure modules.

Phase 1 · Active Pilot
Drainage Monitoring (DMFS) Completed
Patented real-time flood risk telemetry inside urban drainage corridors. Integrated edge processing with automated warning alerts. Currently lab-tested and simulated at CITTIC, CUSAT, with proposals submitted to CSML for field pilots.
Phase 2 · Roadmap
Water Quality Metrics Planned
Continuous in-situ monitoring of key water parameters (pH, turbidity, dissolved oxygen) across municipal supply networks.
Phase 3 · Future R&D
AI Flood Prediction Upcoming
Predictive machine learning models trained on structural spatial-temporal telemetry databases to forecast flood events hours in advance.
PARTNERSHIP OPPORTUNITIES

Collaborate on Urban Resilience

Technology Partner

Co-develop next-generation sensing hardware, low-latency firmware, or cloud infrastructure side-by-side with our engineers.

  • Hardware developers
  • Telemetry platforms

Research Partner

Collaborate on environmental data analytics, micro-climate research, or urban hydraulic model validation.

  • Academic departments
  • Hydrology research groups

Municipal Partner

Deploy DMFS inside your local municipal drains. We work with public authorities to map, install, and manage nodes.

  • Municipal corporations
  • Disaster authorities

Funding Partner

Finance a patented, government-backed urban resilience platform at the early scaling phase with clear public milestones.

  • Venture capital & CSR
  • Development grants
OUR TEAM

The Founding Execution Team

City Sense was officially incorporated as a Registered Partnership Firm on 20 December 2025, founded by four B.Tech Information Technology students from the Cochin University of Science and Technology (CUSAT).

Adithya Krishnan K S
Co-Founder & Managing Partner · CEO
Ashmith Babu P S
Co-Founder & Research Partner · CTO
Amal Mathew Abraham
Co-Founder · CFO & Marketing Lead
Jesse Sathyadas
Co-Founder · CFO & R&D Lead
FACULTY MENTORS
Dr. Santosh Kumar M B
CUSAT School of Engineering
Dr. Daleesha M Viswanathan
CUSAT School of Engineering