NEW Pilot deployment target: Q2 2026 — Request government briefing →
Incentive-Based Urban Demand Management

Incentive-Based Urban Demand Management
for Modern Cities.

A platform enabling governments to manage congestion by rewarding better commuter behavior through incentive systems, digital mobility platforms, and privacy-first architecture.

✓ GIGW 3.0 ✓ DPDP 2023 ISO 27001 posture NIC Cloud ready Pilot Q2 '26
GIGW 3.0 Compliant Design Privacy-First Architecture Pilot-Ready Q2 2026 100% Government-Controlled Policy ISO 27001 Design Posture

Standards & Compliance

Built from day one to meet Indian government procurement, audit, and data protection requirements.

Verified

GIGW 3.0

Government of India Website Guidelines — design, accessibility, and information architecture standards mandated for all central government platforms.

Design Posture

ISO 27001

Information security management architecture aligned to ISO/IEC 27001 controls — covering access, audit, and incident response design.

Aligned

DPDP Act 2023

Digital Personal Data Protection Act alignment — privacy by design, data minimisation, purpose limitation, and citizen consent architecture.

Deployment Path

NIC Cloud / MeitY

Infrastructure designed for deployment on MeitY-approved NIC Cloud — supporting sovereign data residency for government-controlled workloads.

Audit-Ready

CAG Audit Trail

Every transaction, policy decision, and incentive disbursement is logged with full justification — retrievable for Comptroller and Auditor General review.

Integration Path

NPCI — UPI & FASTag

Incentive settlement architecture built around India's national payment rails — UPI disbursement and FASTag tolling integration pathways.

How cities evaluate MTSAi

From congestion signal to governed incentives — in four moves

Use the steps to see how the platform story unfolds. Keyboard: Tab into the list, then use ↑ ↓ to change steps.

Congestion is millions of timing decisions colliding

Peak load is not only infrastructure — it is repeated coordination. MTSAi starts from live demand signals and corridor behavior so your team can discuss interventions in operational language, not abstract mode-share targets alone.

Congestion as coordination → Why traditional pricing struggles →
Our Approach
"Cities don't need another penalty-based toll system. They need a platform that makes the right commuting choice feel like the obvious one." — Platform philosophy · MTSAi

Traditional congestion pricing programs rely heavily on penalties and infrastructure deployment. Cities increasingly require tools that influence commuter behavior while maintaining public trust and policy transparency. Congestion is not only a road-capacity problem — it is a repeated coordination problem created by large numbers of commuters making similar route and timing decisions during peak periods.

Principle 01

Incentive over penalty

The platform rewards commuters who shift timing, route, or mode — reducing congestion without punitive enforcement.

Principle 02

Government-controlled policy

Every pricing rule, exemption, and equity protection is set by the city authority — the platform enforces, not decides.

Principle 03

Auditable by design

Every transaction is logged with full justification, making the system defensible to parliament, auditors, and the public.

The Challenge

02. The Urban Congestion Problem

AI governance system active over a congested Indian city corridor — traffic nodes, speed indicators, and demand zones overlaid on a real intersection
Urban Traffic Corridor · AI Governance Overlay · India ● System Active
Public trust gap
82%

Governments need a congestion approach that remains understandable and governable.

Infrastructure cost pressure
91%

Traditional pricing relies on costly physical infrastructure that developing cities can't always deploy.

Policy complexity
64%

Congestion policy must remain governable, auditable, and explainable to the public.

What cities need

A policy instrument that can influence commuter behavior without relying only on punitive charging.

Why this matters

Governments need a congestion approach that remains understandable, governable, and privacy-conscious from the beginning.

What Sets Us Apart

03. The IUDM Model

Incentive-Based Urban Demand Management allows cities to reward off-peak travel, encourage carpooling, support transit usage, and influence route choices.

Gamification and digital incentives create sustained commuter engagement. The model is designed to shift behavior through participation rather than rely only on deterrence.

IUDM Active
  1. 01

    Off-Peak Travel

    Reward windows can encourage demand to move outside the most congested periods.

  2. 02

    Carpooling

    Higher-occupancy travel can be recognized as a more efficient use of limited corridor capacity.

  3. 03

    Transit Usage

    Transit participation can be included in the reward framework rather than treated as a separate system.

  4. 04

    Route Choice

    Cities can influence corridor behavior by rewarding lower-pressure route decisions when appropriate.

Enterprise data infrastructure — interconnected platform nodes representing MTSAi's partner integration architecture Enterprise Integration Layer · Multi-Party Data Infrastructure
Proven at Scale

04. Platform Architecture Overview

The platform architecture enables cities to configure incentive programs and policy logic through a structured operational system rather than a standalone consumer app.

6+Core modules
4Integration types

Government retains policy control. MTSAi provides configurable infrastructure, integrations, and incentive delivery.

Explore each platform layer. Details update when you select a layer.

Layer detail

Public Web Layer

Citizens and partners reach published information, onboarding, and controlled access points. This layer stays thin by design — sensitive policy work happens deeper in the stack.

Compliance & Trust

05. Privacy by Design

MTSAi is designed to minimize collection while preserving policy visibility and operational auditability.

Not Collected
  • No continuous GPS tracking
  • No biometric data
  • No cross-city identity correlation
Collected Minimally
  • Eligibility signals only
  • Reward distribution records
  • Aggregated program metrics
Government Control
  • City authority is controller
  • MTSAi acts as processor
  • Retention defined by policy
Privacy assurance comes from limiting collection, separating roles clearly, and keeping the city in control of policy and data governance.
2019
Est. Founded
4
Global jurisdictions
6+
Platform modules
Q2 '26
Pilot deployment target
Policy Governance

07. Government Control

01

Pricing Rules

City authorities configure programme rules, corridor logic, and decision thresholds — no vendor approval required.

02

Incentive Structures

Reward categories, budgets, and eligibility thresholds are set through policy — not consumer defaults or vendor algorithms.

03

Exemptions & Equity

Equity protections, programme exclusions, and vulnerable-group waivers remain part of legislated public policy.

04

Enforcement Thresholds

Operational limits, penalty ranges, and response rules remain under city-level oversight and parliamentary accountability.

Implementation Roadmap

08. Platform Development Roadmap

The platform development model is phased to reduce implementation risk.

Phase 1

Core Platform Architecture

Phase 2

Incentive & Pricing Engines

Phase 3

Integration with External Systems

In Progress
Phase 4

Pilot Deployment

Q2 2026
Each phase is designed to reduce risk before the next phase begins. Pilot deployment is the last step, not the first claim.
India Deployment

06. Super App Ecosystem

Incentives are delivered through partner platforms where commuters already transact. This integration model reduces adoption friction by using digital channels that are already part of daily mobility and payment behavior.

UPI FASTag ONDC Ride Apps Metro Pass
01

Digital Mobility Platforms

Trip interfaces can surface eligibility, incentives, and commuter guidance.

02

Payment Networks

Reward issuance can be linked to digital settlement infrastructure already in use.

03

Transit & Shared Mobility

Mode-shift incentives can be aligned with shared mobility and transit participation.

04

City Program Interface

Authorities retain control over budgets, rulebooks, and operational scope.

Structured government evaluation paths available — Request a briefing →

Compliance Posture

Built to the standards Indian government requires

Accessibility GIGW 3.0 Compliant

Guidelines for Indian Government Websites — accessibility, language, and usability standards.

Data Protection DPDP Act 2023 Aligned

Architecture designed around India's Digital Personal Data Protection Act — city authority as data controller.

Security ISO 27001 Posture

Security controls aligned with ISO 27001 information security management — full certification pathway in progress.

Infrastructure NIC Cloud Deployment Ready

Designed for National Informatics Centre cloud deployment — no foreign cloud dependency required for pilot.

Auditability CAG-Ready Audit Trail

Every policy decision, transaction, and configuration change is logged, explainable, and retrievable for Comptroller review.

Payments UPI & FASTag Integration

Incentive disbursement built on India's national payment rails — no proprietary wallet or foreign payment processor required.

Next Steps

Ready to explore what
MTSAi can do for your city?

Whether you're a government decision-maker, a technology partner, or an investor — there's a structured evaluation path for you.

What you get
Government-Controlled Policy LayerEvery congestion rule, tariff, and exemption set by your authority — not our algorithms
Multi-Modal ANPR IntegrationWorks with existing camera networks across all vehicle categories
Real-Time Congestion AnalyticsLive dashboards for traffic, revenue, and equity metrics
Audit-Ready ArchitectureEvery transaction logged, explainable, and retrievable for CAG review
Phased Deployment ModelPilot-ready in 90 days — no full-city commitment required to start