Nandi

NANDI is a dual-system civic platform that empowers rural farmers to register and manage cattle digitally, and urban citizens to report abandoned or injured cows instantly — routing every case to local response teams in real time.

Problem Statement

India's stray cattle crisis sits at the intersection of rural livelihoods, urban safety, and government accountability. Farmers in rural areas lack a formal, digital system to register, track, and access welfare schemes for their cattle. Urban citizens have no accessible channel to report strays, and local bodies have no reliable pipeline for receiving or prioritising those reports.

Research Context

36% of Indian MSMEs and farming households struggle with cattle welfare complexity, yet over 70% lack any dedicated digital support for registration or reporting. Ethnographic field research was conducted with rural farmers, gram panchayat officials, and urban citizens to map real workflows, mental models, and failure points.

Research Insights Metrics

51%

of farmers have no formal cattle registration

70%+

lack access to veterinary or subsidy schemes

3,000+

untracked stray cattle incidents per district annually

$0

authorized reimbursement possible without a registered Tag ID

Stakeholder Pain Points

Universal

Manual registration and information retrieval — daily productivity drain, ownership disputes, data loss. No accountability trail between citizen reports and government action. Adoption blocked by absence of incentive and digital literacy barriers.

High Impact

System fragmentation across departments — siloed data prevents cross-body coordination. Repetitive paperwork with no digital backup — time waste, high error rate, loss of access to schemes. Lack of feedback to citizens — strategic blindspot for local government.

Role-Specific User Flows

A rural farmer needs to register and track cattle to access subsidies and vet services, not file paper forms at a gram panchayat and wait weeks. An urban citizen wants to report a stray cow in seconds using WhatsApp, not search for an obscure helpline number. A field officer needs a triage dashboard to dispatch teams, not manage inbound reports via scattered phone calls.

National Animal Numbering &
Digital Identification Framework

Decisions Made

Urban System — WhatsApp Helpline

A WhatsApp chatbot that lets citizens report abandoned or injured cows instantly by sending a message, photo, or location. The bot guides users through simple prompts and forwards the report to local response teams.


Tradeoffs:

Familiar zero-install channel vs. limited UI control. Conversational flow reduces drop-off but constrains information density.


Constraints:

Must feel like a WhatsApp conversation, not a form. Needs to work on 2G connections with minimal media upload friction.


Result:

3-step reporting flow — Location → Photo → Confirm — issues a unique complaint ID (e.g. #INDI2345) and closes the loop with automated status updates: "Report under verification → Team dispatched → Cow rescued and transferred to shelter."

Rural System — Cattle Registration Dashboard

A web-based CMS for farmers and local officials with cattle registration, tag assignment, and scheme eligibility — accessible from low-bandwidth gram panchayat offices.


Tradeoffs:

Comprehensive data capture vs. accessibility for low-literacy users. Desktop-first approach limits field use but matches gram panchayat infrastructure.


Constraints:

Must run on basic browsers at low bandwidth. Registration must output a portable digital identity usable across departments.


Result:

Step-by-step registration flow generates a unique Tag ID per animal, linking the cow to owner, location, veterinary records, and scheme eligibility. Farmers gain a digital proof of ownership that unlocks government services immediately.

Volume Management — Field Officer Dashboard

A centralised dashboard for local government to receive, triage, and act on incoming citizen reports and farmer requests — with audit trail and export capabilities.


Tradeoffs:

Comprehensive case data vs. speed of triage. Officers need both high-level status and the ability to drill into individual cases.


Constraints:

Must support multi-department access. Needs secure logging and field team assignment without requiring extensive training.


Result:

Semantically indexed dashboard with smart filters, tag-based sorting, and audit trail. Field officers can prioritise by urgency and geography and report upward to district authorities with one-click exports.

SOC2 Compliance

Hosted on a secure government-grade cloud infrastructure with end-to-end encryption and audit logs, ensuring compliance for enterprise and legal standards.


Tradeoffs:

Infrastructure cost and deployment complexity vs. trust and legal admissibility of data.


Constraints:

Citizen data cannot be stored without encryption. Enterprise bodies require legal-use compliance.


Result:

Clause built on secure infra with audit logs and encryption by default. Enables trusted use at gram panchayat and district levels.

Open Integrations

NANDI outputs in standard formats and integrates into existing civic pipelines without disrupting workflows across teams — e-signing, reporting, field coordination, etc.


Tradeoffs:

Needs extensive API compatibility. Harder to support in closed legacy systems common in local government.


Constraints:

Must support formats like .xlsx, .pdf, and .csv. Must connect to tools like WhatsApp Business API, DocuSign, and government MIS platforms.


Result:

Outputs in standard export formats and plugs into external tools. Avoids becoming a closed system, making it easy to adopt alongside existing workflows.

Outcome Post Testing

3 steps

to file an urban report (vs. no formal channel before)

Up to 80%

reduction in manual paperwork for cattle registration

3,000+

cattle trackable per district with the registration system

$58bn+

projected scale of civic AI and GovTech market

Nandi

NANDI is a dual-system civic platform that empowers rural farmers to register and manage cattle digitally, and urban citizens to report abandoned or injured cows instantly — routing every case to local response teams in real time.

Design for Government
& Civic Technology

2024

Problem Statement

India's stray cattle crisis sits at the intersection of rural livelihoods, urban safety, and government accountability. Farmers in rural areas lack a formal, digital system to register, track, and access welfare schemes for their cattle. Urban citizens have no accessible channel to report strays, and local bodies have no reliable pipeline for receiving or prioritising those reports.

Research Context

36% of Indian MSMEs and farming households struggle with cattle welfare complexity, yet over 70% lack any dedicated digital support for registration or reporting. Ethnographic field research was conducted with rural farmers, gram panchayat officials, and urban citizens to map real workflows, mental models, and failure points.

Research Insights Metrics

51%

of farmers have no formal cattle registration

70%+

lack access to veterinary or subsidy schemes

3,000+

untracked stray cattle incidents per district annually

$0

authorized reimbursement possible without a registered Tag ID

Stakeholder Pain Points

Universal

Manual registration and information retrieval — daily productivity drain, ownership disputes, data loss. No accountability trail between citizen reports and government action. Adoption blocked by absence of incentive and digital literacy barriers.

High Impact

System fragmentation across departments — siloed data prevents cross-body coordination. Repetitive paperwork with no digital backup — time waste, high error rate, loss of access to schemes. Lack of feedback to citizens — strategic blindspot for local government.

Role-Specific User Flows

A rural farmer needs to register and track cattle to access subsidies and vet services, not file paper forms at a gram panchayat and wait weeks. An urban citizen wants to report a stray cow in seconds using WhatsApp, not search for an obscure helpline number. A field officer needs a triage dashboard to dispatch teams, not manage inbound reports via scattered phone calls.

National Animal Numbering &
Digital Identification Framework

Decisions Made

Urban System — WhatsApp Helpline

A WhatsApp chatbot that lets citizens report abandoned or injured cows instantly by sending a message, photo, or location. The bot guides users through simple prompts and forwards the report to local response teams.


Tradeoffs:

Familiar zero-install channel vs. limited UI control. Conversational flow reduces drop-off but constrains information density.


Constraints:

Must feel like a WhatsApp conversation, not a form. Needs to work on 2G connections with minimal media upload friction.


Result:

3-step reporting flow — Location → Photo → Confirm — issues a unique complaint ID (e.g. #INDI2345) and closes the loop with automated status updates: "Report under verification → Team dispatched → Cow rescued and transferred to shelter."

Rural System — Cattle Registration Dashboard

A web-based CMS for farmers and local officials with cattle registration, tag assignment, and scheme eligibility — accessible from low-bandwidth gram panchayat offices.


Tradeoffs:

Comprehensive data capture vs. accessibility for low-literacy users. Desktop-first approach limits field use but matches gram panchayat infrastructure.


Constraints:

Must run on basic browsers at low bandwidth. Registration must output a portable digital identity usable across departments.


Result:

Step-by-step registration flow generates a unique Tag ID per animal, linking the cow to owner, location, veterinary records, and scheme eligibility. Farmers gain a digital proof of ownership that unlocks government services immediately.

Volume Management — Field Officer Dashboard

A centralised dashboard for local government to receive, triage, and act on incoming citizen reports and farmer requests — with audit trail and export capabilities.


Tradeoffs:

Comprehensive case data vs. speed of triage. Officers need both high-level status and the ability to drill into individual cases.


Constraints:

Must support multi-department access. Needs secure logging and field team assignment without requiring extensive training.


Result:

Semantically indexed dashboard with smart filters, tag-based sorting, and audit trail. Field officers can prioritise by urgency and geography and report upward to district authorities with one-click exports.

SOC2 Compliance

Hosted on a secure government-grade cloud infrastructure with end-to-end encryption and audit logs, ensuring compliance for enterprise and legal standards.


Tradeoffs:

Infrastructure cost and deployment complexity vs. trust and legal admissibility of data.


Constraints:

Citizen data cannot be stored without encryption. Enterprise bodies require legal-use compliance.


Result:

Clause built on secure infra with audit logs and encryption by default. Enables trusted use at gram panchayat and district levels.

Open Integrations

NANDI outputs in standard formats and integrates into existing civic pipelines without disrupting workflows across teams — e-signing, reporting, field coordination, etc.


Tradeoffs:

Needs extensive API compatibility. Harder to support in closed legacy systems common in local government.


Constraints:

Must support formats like .xlsx, .pdf, and .csv. Must connect to tools like WhatsApp Business API, DocuSign, and government MIS platforms.


Result:

Outputs in standard export formats and plugs into external tools. Avoids becoming a closed system, making it easy to adopt alongside existing workflows.

Outcome Post Testing

3 steps

to file an urban report (vs. no formal channel before)

Up to 80%

reduction in manual paperwork for cattle registration

3,000+

cattle trackable per district with the registration system

$58bn+

projected scale of civic AI and GovTech market

Nandi

NANDI is a dual-system civic platform that empowers rural farmers to register and manage cattle digitally, and urban citizens to report abandoned or injured cows instantly — routing every case to local response teams in real time.

HCI Hybrid Product Design

2024

Problem Statement

India's stray cattle crisis sits at the intersection of rural livelihoods, urban safety, and government accountability. Farmers in rural areas lack a formal, digital system to register, track, and access welfare schemes for their cattle. Urban citizens have no accessible channel to report strays, and local bodies have no reliable pipeline for receiving or prioritising those reports.

Research Context

36% of Indian MSMEs and farming households struggle with cattle welfare complexity, yet over 70% lack any dedicated digital support for registration or reporting. Ethnographic field research was conducted with rural farmers, gram panchayat officials, and urban citizens to map real workflows, mental models, and failure points.

Research Insights Metrics

51%

of farmers have no formal cattle registration

70%+

lack access to veterinary or subsidy schemes

3,000+

untracked stray cattle incidents per district annually

$0

authorized reimbursement possible without a registered Tag ID

Stakeholder Pain Points

Universal

Manual registration and information retrieval — daily productivity drain, ownership disputes, data loss. No accountability trail between citizen reports and government action. Adoption blocked by absence of incentive and digital literacy barriers.

High Impact

System fragmentation across departments — siloed data prevents cross-body coordination. Repetitive paperwork with no digital backup — time waste, high error rate, loss of access to schemes. Lack of feedback to citizens — strategic blindspot for local government.

Role-Specific User Flows

A rural farmer needs to register and track cattle to access subsidies and vet services, not file paper forms at a gram panchayat and wait weeks. An urban citizen wants to report a stray cow in seconds using WhatsApp, not search for an obscure helpline number. A field officer needs a triage dashboard to dispatch teams, not manage inbound reports via scattered phone calls.

National Animal Numbering &
Digital Identification Framework

Decisions Made

Urban System — WhatsApp Helpline

A WhatsApp chatbot that lets citizens report abandoned or injured cows instantly by sending a message, photo, or location. The bot guides users through simple prompts and forwards the report to local response teams.


Tradeoffs:

Familiar zero-install channel vs. limited UI control. Conversational flow reduces drop-off but constrains information density.


Constraints:

Must feel like a WhatsApp conversation, not a form. Needs to work on 2G connections with minimal media upload friction.


Result:

3-step reporting flow — Location → Photo → Confirm — issues a unique complaint ID (e.g. #INDI2345) and closes the loop with automated status updates: "Report under verification → Team dispatched → Cow rescued and transferred to shelter."

Rural System — Cattle Registration Dashboard

A web-based CMS for farmers and local officials with cattle registration, tag assignment, and scheme eligibility — accessible from low-bandwidth gram panchayat offices.


Tradeoffs:

Comprehensive data capture vs. accessibility for low-literacy users. Desktop-first approach limits field use but matches gram panchayat infrastructure.


Constraints:

Must run on basic browsers at low bandwidth. Registration must output a portable digital identity usable across departments.


Result:

Step-by-step registration flow generates a unique Tag ID per animal, linking the cow to owner, location, veterinary records, and scheme eligibility. Farmers gain a digital proof of ownership that unlocks government services immediately.

Volume Management — Field Officer Dashboard

A centralised dashboard for local government to receive, triage, and act on incoming citizen reports and farmer requests — with audit trail and export capabilities.


Tradeoffs:

Comprehensive case data vs. speed of triage. Officers need both high-level status and the ability to drill into individual cases.


Constraints:

Must support multi-department access. Needs secure logging and field team assignment without requiring extensive training.


Result:

Semantically indexed dashboard with smart filters, tag-based sorting, and audit trail. Field officers can prioritise by urgency and geography and report upward to district authorities with one-click exports.

SOC2 Compliance

Hosted on a secure government-grade cloud infrastructure with end-to-end encryption and audit logs, ensuring compliance for enterprise and legal standards.


Tradeoffs:

Infrastructure cost and deployment complexity vs. trust and legal admissibility of data.


Constraints:

Citizen data cannot be stored without encryption. Enterprise bodies require legal-use compliance.


Result:

Clause built on secure infra with audit logs and encryption by default. Enables trusted use at gram panchayat and district levels.

Open Integrations

NANDI outputs in standard formats and integrates into existing civic pipelines without disrupting workflows across teams — e-signing, reporting, field coordination, etc.


Tradeoffs:

Needs extensive API compatibility. Harder to support in closed legacy systems common in local government.


Constraints:

Must support formats like .xlsx, .pdf, and .csv. Must connect to tools like WhatsApp Business API, DocuSign, and government MIS platforms.


Result:

Outputs in standard export formats and plugs into external tools. Avoids becoming a closed system, making it easy to adopt alongside existing workflows.

Outcome Post Testing

3 steps

to file an urban report (vs. no formal channel before)

Up to 80%

reduction in manual paperwork for cattle registration

3,000+

cattle trackable per district with the registration system

$58bn+

projected scale of civic AI and GovTech market