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Research + Development 2026 portfolio

Research designed for the moments that matter.

Zenext AI advances human-centered, mission-critical technologies for police, fire, emergency medical, disaster-response, and civic-safety teams.

Explore ongoing research ↓View publications ↗
Zenext AI
VOICE AIAUTONOMYRESILIENCE

08Active research directions

10Selected peer-reviewed works

NISTTech to Protect top-four team

HITLHuman oversight by design

Ongoing research

One connected public-safety research portfolio.

Each program is designed around the operating reality of responders: scarce attention, incomplete information, interoperability challenges, and the need for accountable human judgment.

01Active direction

Voice AI & hands-free operations

Natural-language systems that help responders request information, coordinate resources, and navigate high-pressure workflows without shifting attention away from the scene.

Law enforcementFireEMS
02Active direction

Responsible agentic AI

Human-in-the-loop architectures for AI systems that observe, reason, and recommend within defined operational, ethical, privacy, and accountability boundaries.

GovernanceExplainabilityPublic trust
03Active direction

Autonomous drones for response

Voice-controlled aerial systems for situational awareness, emergency medical payload delivery, field triage support, and hard-to-reach incidents.

DronesMedical responseRemote sensing
04Active direction

Autonomous patrol & navigation

Risk-aware routing, sensor-integrated navigation, dynamic replanning, and voice-activated dispatch for next-generation public-safety vehicles.

Patrol planningEdge AIMobility
05Active direction

Fire intelligence & digital pre-plans

Cloud-based pre-incident planning, AI-assisted fire-safety analysis, digital building context, and dialog-driven autonomous fire response.

Fire safetyDigital twinsCivic readiness
06Active direction

Resilient location services

Secure GPS and location-aware response systems using smart radio, blockchain, AI-driven adaptability, and privacy-conscious infrastructure.

LocationCyber resilienceSmart radio
07Active direction

Interoperable first-responder communications

Technical frameworks that improve voice, data, and situational-awareness continuity across agencies, devices, networks, and command structures.

InteroperabilityCommunicationsSituational awareness
08Active direction

Urban safety analytics

Crime-aware routing, demand analysis, risk modeling, and decision-support methods that help agencies allocate limited resources more effectively.

Predictive analyticsResource planningSmart cities

Featured research paper

Voice Command AI Assistant for Public Safety

The foundational Zenext research explores a hands-free, AI-enabled assistant that connects law-enforcement officers with dispatchers, Fire, and EMT support through natural voice interactions.

IEEE 3ICT · 2022Majumdar · Kirkley · SrivastavaDOI 10.1109/3ICT56508.2022.9990716
Open research paper ↗

Published foundations

Research moving from theory toward the field.

Peer-reviewed work and conference research supporting Zenext AI's active public-safety technology directions.

01Voice AIVoice Command AI Assistant for Public SafetyIEEE 3ICT · 202202Fire safetyA Cloud-Based Fire Safety System for Emergency Responders and Civic CommunityIEEE LISAT · 202303Autonomous responseVoice Command Drone for Law Enforcement and Emergency ResponseIEEE MobiSecServ · 202404CommunicationsFirst Responder Communication Systems: Interoperability and Situational Awareness OptimizationIEEE CCWC · 202505Autonomous vehiclesNavigating the Future: Safety Perceptions and Adoption Readiness of Autonomous Vehicles for Public SafetyIEEE CCWC · 202506Cyber resilienceFrom Vulnerability to Resilience: Securing Public Safety GPS and Location ServicesElectronics · 202507IoT & mobilitySmart IoT-Enabled Autonomous Vehicles for Next-Generation Public SafetySpringer · 202508Patrol planningSpatiotemporal Risk-Aware Patrol Planning Using Policy Optimization and Sensor-Integrated NavigationApplied Sciences · 202509Agentic fire responseLLM-Guided Hybrid Architecture for Autonomous Fire ResponseIEEE World AI IoT Congress · 202510Voice & autonomyVoice-Activated Dispatch and Navigation for Autonomous Patrol VehiclesSpringer IEMTRONICS · 2026
Swarnamouli Majumdar, Founder and CEO of Zenext AI.
WOMAN IN PUBLIC SAFETYSM

Founder + CEO

Swarnamouli Majumdar

Building trustworthy AI for the people responsible for everyone else's safety.

Swarnamouli Majumdar is the Founder and CEO of Zenext AI and a PhD researcher in Information Systems Engineering at Concordia University. Her work spans voice-driven AI assistants, autonomous drones and vehicles, reinforcement learning, digital twins, explainable AI, and resilient public-safety infrastructure.

As a woman working at the intersection of public safety, engineering, and civic innovation, she advocates for systems that strengthen responder capability while protecting fairness, privacy, accountability, and public trust.

ORCID research record ↗NIST Team Zenext ↗

How we research

01

Field-centered

Start with responder workflows, constraints, and context.

02

Human-controlled

Keep meaningful decisions visible and accountable.

03

Interoperable

Design for existing agencies, devices, and command systems.

04

Trustworthy

Evaluate fairness, privacy, resilience, and explainability.

Research collaboration

Bring a real public-safety challenge into the lab.

Start a research conversation →Experience the prototype →