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Information Governance

Privacy Policy

Effective Date: 18th June, 2026

1. Introduction

Miracle Traffic Solutions AI India Private Limited (“MTSAi”, “we”, “our”, or “us”) is committed to maintaining the highest standards of responsible information governance, privacy protection, cybersecurity, transparency, and accountability across its digital mobility technologies and related services.

MTSAi develops intelligent transportation technologies intended to support government authorities, transport agencies, infrastructure operators, and authorised institutional stakeholders in improving transportation efficiency, reducing congestion, supporting evidence-based mobility planning, and enabling responsible management of transportation ecosystems.

As a technology provider operating within public-sector and institutional environments, MTSAi recognises that information entrusted to digital infrastructure systems must be managed with appropriate governance, security, transparency, and oversight.

This Privacy Policy establishes the principles and practices governing how MTSAi collects, receives, uses, processes, stores, protects, shares, retains, and manages information in connection with its websites, digital platforms, pilot programmes, research initiatives, application programming interfaces (APIs), analytical systems, contractual deployments, and future technology services.

Certain MTSAi services may operate within pilot, demonstration, testing, research, or limited deployment environments. The specific manner in which information is processed may depend upon applicable laws, contractual arrangements, deployment architecture, technical design, government requirements, operational needs, and authorised programme conditions. Additional privacy notices, contractual data governance arrangements, or programme-specific policies may apply to particular deployments where required.

2. Scope and Applicability

This Privacy Policy applies to information processed through:

  • MTSAi websites and digital properties;
  • Demonstration environments, pilot programmes, and research activities;
  • Government, institutional, or commercial deployments authorised under applicable agreements;
  • Mobility applications and future digital interfaces;
  • APIs, software integrations, data exchange mechanisms, and interoperable technology services;
  • Analytics platforms, operational dashboards, reporting systems, and decision-support tools;
  • Communications with government authorities, institutional partners, infrastructure operators, suppliers, researchers, prospective customers, and other authorised stakeholders.

The nature, volume, and categories of information processed may vary depending upon the specific service, deployment model, contractual obligations, technical architecture, and applicable legal requirements.

3. Information Governance Principles

MTSAi adopts a governance-driven approach to information management based upon the following core operational principles:

3.1 Lawfulness and Purpose Limitation

Information shall be processed only for legitimate, defined, and authorised purposes associated with service delivery, transportation management programmes, approved research initiatives, contractual obligations, security requirements, operational needs, and compliance with applicable laws.

3.2 Data Minimisation

MTSAi seeks to collect and process only the information reasonably necessary to fulfil identified operational, technical, analytical, security, or contractual objectives. Where technically feasible and appropriate, MTSAi encourages approaches that reduce unnecessary collection of personal information through aggregation, anonymisation, event-based processing, or other privacy-preserving methods.

3.3 Accountability and Oversight

Information governance processes are designed to include appropriate administrative controls, defined responsibilities, role-based access management, audit records, monitoring activities, and periodic review mechanisms.

3.4 Transparency

MTSAi seeks to provide clear information regarding its information management practices and may provide additional notices where specific services, programmes, or deployments involve additional data processing activities.

3.5 Security and Confidentiality

MTSAi implements appropriate administrative, organisational, technical, and physical safeguards intended to protect information against unauthorised access, disclosure, alteration, destruction, or misuse.

3.6 Responsible Technology & Human Oversight

Advanced analytical technologies, including artificial intelligence, machine learning, predictive modelling, and optimisation systems, shall be designed to support human decision-making processes and operate within appropriate governance and oversight frameworks.

4. Categories of Information Processed

Depending upon the nature of the interaction, authorised deployment, pilot programme, contractual engagement, or technology service, MTSAi may process the following categories of information:

4.1 Identity and Professional Information

This data structure may include name, organisation or institution, professional designation or role, email address, telephone number, and official correspondence or communication records.

4.2 Technical, System, and Security Information

This platform metadata may include Internet Protocol (IP) addresses, device identifiers, browser parameters, system access logs, authentication credentials, security checkpoints, and operational monitoring tracks.

4.3 Platform Access and User Administration Information

Where access-controlled environments are provided, MTSAi may process user identifiers, account credentials, authorization parameters, permissions matrices, and platform system activity logs.

4.4 Mobility, Infrastructure, and Transportation Information

For authorised transportation programmes, pilot deployments, mobility studies, or contracted services, MTSAi processes trip validation records, occupancy-related indicators, transportation performance metrics, road network utilisation values, infrastructure use profiles, traffic flows, and aggregated, anonymised transportation datasets. The specific categories depend directly upon technical architecture and contractual layouts.

4.5 Information Voluntarily Provided

MTSAi processes information voluntarily submitted through government or institutional channels, partnership enquiries, research partnerships, recruitment applications, support desk queues, or regular commercial pipelines. It remains strictly limited to what is required to fulfil the direct inquiry.

4.6 City-Branded Commuter Application and Participation Programmes

Certain future deployments may include a city-branded commuter application enabling residents to participate in authorized congestion-management or reward systems setup by public institutions. The relevant government authority remains the program owner and policy operator, while MTSAi serves purely as the underlying technology provider.

Registration fields are designed to collect vehicle registration numbers, mobile phone numbers, UPI Virtual Payment Addresses (VPAs), account tracking IDs, verification files, and occupancy/mobility confirmation records.

Note: The commuter application is currently in the pre-deployment stage and is not active in any city deployment. Any future implementation is fully subject to technical validation, government milestones, legal review, and explicit contractual sign-offs.

5. Location, Mobility, and Geospatial Information Management

MTSAi recognises that location and mobility-related information requires heightened standards of privacy protection, security, and responsible governance. The collection and processing of such information shall be undertaken only where necessary for defined transportation, operational, analytical, research, contractual, or authorised programme purposes.

MTSAi does not seek to establish continuous location-surveillance systems for the routine monitoring of individuals.

Where mobility verification, occupancy analysis, traffic management, or transportation analytics requires location-related information, MTSAi applies privacy-by-design principles. Where technically feasible and appropriate, MTSAi utilizes privacy-preserving methodologies including event-based trip verification, on-device or edge processing, aggregated mobility insights, anonymisation or de-identification techniques, reduced data retention periods, and highly controlled, role-based access constraints.

6. Purpose and Lawful Basis of Information Processing

MTSAi processes data exclusively under valid legitimate operational pathways, including:

  • Operation and maintenance of technical platforms, code bases, APIs, and systems;
  • Administration of institutional programs or institutional research models;
  • Transportation modeling, congestion analysis, and grid optimization workflows;
  • Generation of metrics, performance matrices, and statistical dashboards;
  • System security parameters, threat vectors monitoring, and cybersecurity loops;
  • Identity management, credential tracking, and access configurations;
  • Continuous testing, engineering verification, and code enhancements;
  • Compliance with legal frameworks, public administration standards, or lawful warrants.

7. Public Sector Data Governance and Accountability Framework

To support public-sector systems where operational trust is critical, MTSAi enforces structural accountability tools:

  • 7.1 Governance and Responsibility: Defined governance matrices setup separate responsibilities between operators, state officials, partners, and technical creators.
  • 7.2 Role-Based Access and Authorisation: Enforces the principle of least privilege, mapping database access only to individuals with clear operational justification.
  • 7.3 Auditability and Traceability: Immutable audit logs track structural system changes, configurations data access, and unauthorized transaction queries.
  • 7.4 Data Lifecycle Management: Handles metrics systematically from initial ingest down through lifecycle processing, secure archival, or deletion protocols.

8. Artificial Intelligence and Analytics Governance

MTSAi may deploy AI systems, neural predictors, and advanced analytics to parse complex traffic movements and provide operational support insight. We stay firmly aligned with explicit artificial intelligence ethics standards:

  • Constant retention of human oversight and system override loops;
  • Clear visibility over model bounds, data limitations, and operational thresholds;
  • Continuous validation checks regarding algorithm reliability, drifting patterns, and safety margins;
  • Rigorous handling of compliance files used inside training, testing, or feedback loops.

AI analytics findings do not constitute autonomous legal rulings, sovereign declarations, or absolute substitutes for institutional administrative judgment.

9. Data Sharing and Multi-Party Ecosystem Governance

MTSAi does not sell personal information or distribute collected vectors to commercial data brokers or third-party marketing brokers.

Information may be shared only under authorized configurations with state agencies, municipal operators, technical suppliers, secure cloud hosting vendors, or statutory legal enforcement agencies following proper court documentation. Every transfer enforces clear contractual controls to bind data destination nodes to strict security rules.

10. Information Security and Cybersecurity Controls

MTSAi implements an exhaustive technical protection grid across our data pipelines:

CryptographyAdvanced encryption protocols applied natively across data blocks both at-rest and during transit sequences.
Access LimitsMulti-factor identification controls linked directly to fine-grained, role-based privilege parameters.
VigilanceAutomated vulnerability assessment scripts, deep log collection audits, and swift business continuity arrays.

11. Data Retention, Archival, and Secure Disposal

Data fields persist in active storage systems only for the minimum duration required to satisfy explicit operational intents, state contracts, structural audits, or legal mandates. Once tracking intervals clear their expiration benchmarks, systems execute permanent shredding scripts, full data aggregation, or secure offline cold archival routines.

12. Individual Rights and Grievance Redressal

Subject to applicable regional frameworks, individual data entities retain rights to verify information records, request correction parameters, trigger consent revocations, or file structural technical grievances. Certain rights remain naturally shaped or limited by institutional security parameters or overriding public safety requirements.

13. Cross-Border Information Transfers

Should operational parameters necessitate data traversal across distinct geographic boundaries, MTSAi sets up binding legal safety bridges to guarantee the transit path maintains absolute alignment with local sovereign statutes.

14. Third-Party Services, APIs, and Technology Integrations

Our analytical arrays interface systematically with external mapping nodes, global GIS providers, and authorized validation tools. External software interactions operate under distinct parameters owned by their primary publishers, though MTSAi continuously enforces deep security expectations on every operational connection endpoint.

15. Policy Updates and Notifications

MTSAi may occasionally modify this document layout to stay current with changing engineering parameters, cloud specifications, or revised structural laws. Fresh configurations take effect immediately upon digital publication with an explicit update tag.

16. Contact Information

For questions, concerns, privacy-related requests, or information governance enquiries regarding this Privacy Policy or MTSAi information management practices, please contact:

Registered Address

Miracle Traffic Ai India Pvt. Ltd.,
Maruthi Emerald,
ITPL Main Road,
Brookefield, Bengaluru, Karnataka 560066. India

Direct Hotline+91 9731 79 5155