VetShare ZKP 🕛 - Veterinary Research Network on Midnight

[Proposal setup] Proposal title

Please provide your proposal title

VetShare ZKP 🕛 - Veterinary Research Network on Midnight

[Proposal Summary] Budget Information

Enter the amount of funding you are requesting in ADA

100000

[Proposal Summary] Time

Please specify how many months you expect your project to last

12

[Proposal Summary] Translation Information

Please indicate if your proposal has been auto-translated

No

Original Language

en

[Proposal Summary] Problem Statement

What is the problem you want to solve?

Veterinary clinics can't share patient data for research due to privacy concerns, limiting valuable insights that could improve animal healthcare outcomes across the industry.

[Proposal Summary] Supporting Documentation

Supporting links

• https://rocsi.eu
,
• https://veterinarydao.ai
,
• https://docs.google.com/document/d/1pfSASG8eyz3pkBTJtLNg0xG20C9dnF1G2vkviV13Qro/

[Proposal Summary] Project Dependencies

Does your project have any dependencies on other organizations, technical or otherwise?

Yes

Describe any dependencies or write 'No dependencies'

VetShare ZKP depends on Midnight Network (testnet, Midnight.js SDK, NIGHT/DUST tokens, BLS12-381 cryptography), Google Cloud services (Cloud Functions, Run, App Engine, BigQuery, Firestore, Storage, KMS, Build, Firebase Auth), and Provet Cloud API with OAuth 2.0 for veterinary data integration.

[Proposal Summary] Project Open Source

Will your project's outputs be fully open source?

Yes

License and Additional Information

VetShare ZKP will be fully open source (MIT License), including ZKP circuits, Terraform infrastructure as code, React dashboard, APIs, and full documentation. Outputs provide a healthcare ZKP reference and Midnight Network template. Veterinary data, API keys, and credentials remain private. We commit to active maintenance and community support.

[Theme Selection] Theme

Please choose the most relevant theme and tag related to the outcomes of your proposal.

Healthcare

[Campaign Category] Category Questions

Describe what makes your idea innovative compared to what has been previously funded (whether by you or others).

VetShare ZKP is the first privacy-preserving veterinary research network built on zero-knowledge proofs. Unlike prior funded projects, it directly tackles veterinary data-sharing barriers by combining authentic domain expertise with advanced cryptography. It pioneers Midnight Network in healthcare beyond finance, enabling collaborative studies that were previously impossible while ensuring complete privacy.

Describe what your prototype or MVP will demonstrate, and where it can be accessed.

The VetShare ZKP MVP will show privacy-preserving veterinary research in action: two test clinics sharing data through ZKP circuits, supporting demographic, treatment, and comparative queries. It delivers real-time proof generation, verified statistical insights, and Midnight Network integration. Accessible via a web dashboard and research APIs, it demonstrates collaborative studies impossible with traditional methods.

Describe realistic measures of success, ideally with on-chain metrics.

Success will be shown through on-chain and research metrics: 1,000+ ZKP proofs stored on Midnight testnet, <5s verification, and NIGHT/DUST token tracking. The MVP will process 50+ privacy-preserved queries from 2 clinics, generating 10+ cross-clinic insights. Technical benchmarks include <30s proof generation, 99.5% uptime, and auto-scaling for concurrent users.

[Your Project and Solution] Solution

Please describe your proposed solution and how it addresses the problem

VetShare ZKP will enable veterinary clinics to contribute research insights without exposing sensitive data by applying zero-knowledge proofs. The platform will integrate with Provet Cloud for secure data ingestion, generate privacy-preserving proofs for demographic, treatment, and comparative queries, and store them immutably on Midnight Network. Researchers will access results through a web dashboard with real-time verification and statistical insights.

This solution will remove privacy barriers, allow multi-clinic studies, and accelerate evidence-based medicine, expanding sample sizes 10x and enabling breakthroughs such as treatment validation and disease pattern recognition. Built on Google Cloud, the system will target <30s proof generation and 99.5% uptime, and will be released fully open source under MIT. By applying Cardano’s Midnight Network in healthcare, VetShare ZKP will demonstrate blockchain’s real-world value beyond finance while transforming veterinary research into a global, collaborative, privacy-preserving network.

[Your Project and Solution] Impact

Please define the positive impact your project will have on the wider Cardano community

VetShare ZKP will position Cardano as a leader in privacy-preserving healthcare by showcasing Midnight Network’s zero-knowledge proofs in a real-world, regulated industry. By enabling veterinary research without exposing sensitive data, it will prove blockchain’s utility beyond finance and open new markets for Cardano-based solutions.

The project will provide open-source ZKP implementations that serve as a reference model for healthcare and other data-sensitive applications. It will attract developers, researchers, and academic partners into the ecosystem, expand adoption through veterinary and medical networks, and generate sustainable activity through NIGHT/DUST token use.

Over time, VetShare ZKP will establish Cardano as trusted infrastructure for privacy-first data collaboration, advancing scientific research, enabling regulatory compliance, and driving ecosystem growth while demonstrating blockchain’s real-world value.

[Your Project and Solution] Capabilities & Feasibility

What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?

Our team combines blockchain development expertise with authentic veterinary knowledge, giving us the rare ability to design solutions that meet real clinical needs without relying on external consultation. The lead developer will bring proven experience with TypeScript, React, Google Cloud, and zero-knowledge proofs, while the team veterinarian will provide clinical insight, research methodology, and workflow validation.

Delivery will follow a six-milestone plan, each with clear outputs, acceptance criteria, and evidence of completion. Progress will be validated through technical proofs such as code repositories, performance benchmarks, and monitoring dashboards, along with veterinary endorsements and open-source community review.

Feasibility will be confirmed through early prototype testing of ZKP circuits on Midnight Network, cloud infrastructure validation for scalability and security, and Provet Cloud sandbox integration. Risk will be managed through milestone reviews, a contingency budget, and built-in timeline buffers, ensuring accountable and transparent delivery.

[Milestones] Project Milestones

Milestone Title

Provet Cloud Integration and Google Cloud Data Pipeline

Milestone Outputs

1. Provet Cloud sandbox API connection with Google Cloud Functions authentication system
2. Synthetic veterinary data generator using Google Cloud Firestore for storage
3. Data extraction pipeline with Cloud Scheduler and Pub/Sub for reliable processing
4. Data standardization engine using Cloud Dataflow for ETL operations
5. BigQuery data warehouse setup for structured veterinary research data
6. Open-source infrastructure and ingestion templates (Terraform modules, synthetic data generator, and reference BigQuery schema)

Acceptance Criteria

1. Successfully authenticate and connect to Provet Cloud demo environment using Cloud Functions OAuth 2.0
2. Generate 1,000+ synthetic veterinary records per test clinic stored in Firestore collections
3. Data extraction pipeline uses Cloud Scheduler for automated sync and Pub/Sub for reliable messaging
4. Dataflow pipeline converts all Provet Cloud record types to BigQuery-optimized schema
5. BigQuery warehouse stores structured data with partitioning and clustering for query optimization
6. Public GitHub repository contains Terraform configs, synthetic data generator code, and BigQuery schema definitions

Evidence of Completion

1. Video demonstration of Provet Cloud API data retrieval integrated with Google Cloud Functions
2. Firestore console screenshots showing synthetic data collections with proper document structure
3. Cloud Scheduler and Pub/Sub configuration documentation with successful execution logs
4. Dataflow job monitoring dashboard showing successful ETL processing metrics
5. BigQuery dataset with sample queries demonstrating structured veterinary data accessibility
6. GitHub repository link showing open-source Terraform modules, ingestion templates, and schema files

Delivery Month

3

Cost

20000

Progress

20 %

Milestone Title

Enhanced Data Processing with Google Cloud Security Services

Milestone Outputs

1. Cloud Storage encrypted data lake with IAM roles and Cloud KMS key management
2. Advanced data preprocessing using Cloud Dataprep with automated anonymization workflows
3. Multi-clinic data synchronization using Cloud Spanner for globally consistent operations
4. Performance optimization with Cloud Memorystore Redis caching for large datasets
5. Cloud Logging and Cloud Monitoring infrastructure for comprehensive observability
6. Open-source Terraform modules and anonymization workflow templates (CMEK storage, Spanner schema, Memorystore, Monitoring dashboards)

Acceptance Criteria

1. Cloud Storage buckets use customer-managed encryption keys (CMEK) with granular IAM permissions
2. Dataprep workflows automatically enforce k-anonymity (k≥5) and remove direct identifiers
3. Cloud Spanner handles concurrent data updates from multiple clinics with ACID guarantees
4. Memorystore Redis caching reduces data processing times by 70% for repeated operations
5. Cloud Logging captures all data access events with Cloud Audit Logs for compliance tracking
6. GitHub repository updated with Terraform configs for CMEK storage, Spanner schema, Memorystore, and Monitoring, plus anonymization templates

Evidence of Completion

1. Security configuration screenshots showing CMEK implementation and IAM role assignments
2. Dataprep recipe documentation demonstrating anonymization transformations with k-anonymity validation
3. Cloud Spanner schema design and multi-region test results showing data consistency
4. Performance benchmarks comparing cached vs non-cached operations with Memorystore metrics
5. Cloud Monitoring dashboard screenshots showing comprehensive logging and alerting setup
6. GitHub repository link showing Terraform modules and anonymization workflow templates

Delivery Month

5

Cost

18000

Progress

40 %

Milestone Title

Zero-Knowledge Proof Circuit Development with Cloud Build

Milestone Outputs

1. Demographic Analysis Circuit proving breed/age distributions using Cloud Build CI/CD
2. Treatment Verification Circuit validating vaccination outcomes with automated testing
3. Comparative Statistics Circuit enabling anonymous cross-clinic research with Cloud Functions triggers
4. Circuit compilation toolkit using Cloud Build with custom Docker containers for Midnight development
5. Mathematical proof verification system deployed on Cloud Run for scalable validation
6. Open-source release of Circom circuits, Cloud Build configs, Dockerfiles, and verification harness

Acceptance Criteria

1. Demographic circuit generates proofs for population statistics using Cloud Build automated compilation
2. Treatment circuit proves efficacy rates through Cloud Functions triggered by BigQuery changes
3. Comparative circuit enables statistical analysis using secure Cloud Run containers
4. All circuits generate valid proofs in <30 seconds using Cloud Build optimized environments
5. Mathematical verification deployed on Cloud Run confirms zero-knowledge properties under load
6. GitHub repository updated with Circom circuit code, build configs, and verification service

Evidence of Completion

1. Cloud Build configuration files and build history showing successful circuit compilation
2. Cloud Functions deployment showing automated proof generation triggered by data updates
3. Cloud Run service metrics demonstrating circuit performance and auto-scaling capabilities
4. Circuit validation test results from Cloud Build showing <30 second proof generation
5. Cloud Run security analysis confirming zero-knowledge property validation under concurrent load
6. Public GitHub repo link showing circuits, configs, and verification service, with documentation

Delivery Month

7

Cost

25000

Progress

60 %

Milestone Title

Blockchain Integration with Google Cloud Infrastructure

Milestone Outputs

1. Midnight Network testnet integration using Cloud Functions for blockchain operations
2. NIGHT/DUST token management system using Cloud Firestore for transaction tracking
3. Proof verification system with Cloud Run services and BigQuery for audit trails
4. Batch processing using Cloud Tasks and Cloud Pub/Sub for multi-clinic proof coordination
5. Network monitoring using Cloud Monitoring with custom Midnight Network metrics
6. Open-source release of proof submission/verification code, Terraform modules, and monitoring templates

Acceptance Criteria

1. Cloud Functions successfully deploy and store ZKP proofs on Midnight Network testnet
2. Firestore collections track NIGHT/DUST token economics with real-time balance updates
3. Cloud Run proof verification service validates 100% of stored proofs with BigQuery logging
4. Cloud Tasks orchestrate batch processing for simultaneous proof generation from test clinics
5. Cloud Monitoring dashboards show <10 second end-to-end proof processing with custom metrics
6. GitHub repository updated with proof submission and verification services, orchestration configs, and monitoring templates

Evidence of Completion

1. Cloud Functions logs showing successful Midnight Network proof storage operations
2. Firestore console demonstrating real-time token balance tracking and transaction history
3. Cloud Run service metrics and BigQuery audit tables showing 100% proof validation success
4. Cloud Tasks queue monitoring showing successful batch proof processing coordination
5. Cloud Monitoring custom dashboards displaying Midnight Network integration performance metrics
6. Public GitHub repo link showing open-source proof submission code, verification service, orchestration configs, and monitoring templates

Delivery Month

9

Cost

20000

Progress

80 %

Milestone Title

Research Dashboard with Google Cloud App Engine and Firebase

Milestone Outputs

1. React-based web dashboard deployed on Google App Engine with auto-scaling
2. Intuitive query builder using Firebase Authentication and Firestore real-time database
3. Real-time result visualization with Google Charts API and BigQuery data connections
4. Clinic management interface using Firebase Admin SDK for user and data management
5. Authentication system with Firebase Auth supporting multiple identity providers
6. Open-source web dashboard package (React app, App Engine deploy configs, Firebase Auth/Firestore security rules, role-based access control, and query/visualization templates)

Acceptance Criteria

1. App Engine deployment processes queries with auto-scaling handling concurrent users
2. Firebase Authentication enables secure login with Google, email, and custom providers
3. Google Charts visualization presents insights directly from BigQuery without data exposure
4. Firebase Admin SDK provides clinic data management with real-time synchronization
5. Firebase Auth implements role-based access control for researchers vs administrators
6. Public GitHub repository contains the React codebase, app.yaml, Firebase security rules, .env.example configs (no secrets), and docs for local emulator + GCP deploy

Evidence of Completion

1. App Engine deployment URL showing fully functional web application with auto-scaling metrics
2. Firebase Authentication console showing configured identity providers and user management
3. Interactive visualization gallery using Google Charts connected to BigQuery datasets
4. Firebase Admin SDK implementation demonstrating real-time clinic data management capabilities
5. Firebase Auth configuration showing role-based permissions and security rules implementation
6. GitHub release/tag with the open-source dashboard package, README setup steps, CI build logs, and screenshots of rules/templates

Delivery Month

11

Cost

12000

Progress

90 %

Milestone Title

End-to-End Google Cloud Integration and Community Delivery

Milestone Outputs

1. Complete integrated system using Google Cloud services with Infrastructure as Code (Terraform)
2. Comprehensive testing using Cloud Testing and Cloud Profiler for performance validation
3. Professional demonstration video hosted on Google Cloud CDN with global distribution
4. Technical documentation using Google Cloud Build for automated generation and Firebase Hosting
5. Community validation using Google Forms and Cloud Analytics for feedback collection
6. Open-source “MVP Reference Pack” (Terraform modules, CI/CD pipelines, test harness, docs source, reproducible scripts)
7. Project Close-out Report (PCR) prepared in compliance with Catalyst guidelines
8. Project Close-out Video (PCV) showcasing plugin features, benefits, and outcomes

Acceptance Criteria

1. Terraform scripts deploy complete infrastructure demonstrating Infrastructure as Code best practices
2. Cloud Testing suite validates end-to-end workflow with 2 test clinics and performance profiling
3. Demonstration video deployed via Cloud CDN shows global accessibility and fast loading
4. Automated documentation pipeline uses Cloud Build to generate and deploy comprehensive guides
5. Feedback collected through Google Forms with Cloud Analytics providing usage insights
6. GitHub repository contains the “MVP Reference Pack”; reproducible deployment verified
7. PCR delivered, covering milestones, outputs, achievements, budget use, and lessons learned
8. PCV produced, published, and accessible via public URL, summarizing project outcomes visually

Evidence of Completion

1. Terraform deployment scripts and Google Cloud Console showing complete infrastructure provisioning
2. Cloud Testing results and Cloud Profiler analysis demonstrating system performance and scalability
3. Cloud CDN analytics showing global demo video distribution and performance metrics
4. Firebase Hosting deployment of automated documentation with Cloud Build integration
5. Google Analytics dashboard and Forms responses showing feedback validation and usage metrics
6. Public GitHub release/tag with the open-source MVP pack, CI build logs, and reproducibility report
7. Final PCR document (PDF/Markdown) published in repository and submitted to Catalyst
8. Published PCV link (YouTube), referenced in GitHub and Catalyst close-out submission

Delivery Month

12

Cost

5000

Progress

100 %

[Final Pitch] Budget & Costs

Please provide a cost breakdown of the proposed work and resources

Total Project Investment: 100,000 ADA (€70,000)

Exchange Rate: 1 ADA = €0.70 (August 2025)

Project Duration: 12 months

Budget Allocation

Core Development Team – 65,000 ADA (€45,500) – 65%

• Lead Developer (€2,500/month): Technical implementation, ZKP circuits, cloud & blockchain integration
• Veterinary Domain Expert (€1,292/month): Workflow design, compliance, validation, and testing
• Team model delivers authentic veterinary input at ~40% below market rates.

Infrastructure & Cloud Services – 15,000 ADA (€10,500) – 15%

• Google Cloud (compute, storage, networking, security, monitoring, CI/CD) – €6,900
• External Services & APIs (Provet Cloud access, Midnight testnet, SSL, dev tools) – €3,600

Security & Testing – 8,000 ADA (€5,600) – 8%

• ZKP circuit audits, cloud security review, penetration testing, automated scans

Documentation & Community – 7,000 ADA (€4,900) – 7%

• Technical specification, API & deployment guides, user manuals
• Demo video, veterinary validation, beta testing program

Contingency Buffer – 5,000 ADA (€3,500) – 5%

• Covers ZKP complexity overruns, integration delays, scope adjustments, ADA/EUR fluctuations

Milestone Distribution

• M1 (Ingestion Foundation): 20,000 ADA
• M2 (Security & Optimization): 18,000 ADA
• M3 (ZKP Circuits): 25,000 ADA
• M4 (Midnight Integration): 20,000 ADA
• M5 (Access Layer): 12,000 ADA
• M6 (Integration & Delivery): 5,000 ADA

[Final Pitch] Value for Money

How does the cost of the project represent value for the Cardano ecosystem?

The requested 100,000 ADA (€70,000) represents a highly efficient investment that unlocks multi-million euro value for the Cardano ecosystem by proving the real-world utility of Midnight Network’s zero-knowledge proofs in healthcare.

Direct Ecosystem Value

• Midnight Network Showcase – First flagship healthcare use case demonstrating ZKP in sensitive data workflows, validating NIGHT/DUST token economics, and positioning Cardano as the leader in privacy-preserving medical research.
• ZKP Leadership – Pioneering circuits, privacy-preserving methodologies, and open-source assets become reusable building blocks across the ecosystem.
• Veterinary Market Entry – Access to a €150B global industry where collaborative research is currently blocked by privacy barriers; VetShare ZKP will be able to potentially reduce some research study timelines from 18 months to 3 months.

Multiplier Effects

• Developer Growth – Documentation, tutorials, and code expand Cardano’s healthcare developer base.
• Enterprise Pipeline – Veterinary success provides a pathway to hospitals, pharma, and human healthcare research.
• Cross-Sector Reuse – Components extend directly to clinical trials, post-market surveillance, and public health systems.

Quantifiable Return

• Short-Term (12 months): €100k+ in technical IP, >10 developers engaged, 2 clinics actively validating.
• Medium-Term (2–3 years): 50–200 clinics onboarded, enterprise partnerships, regulatory alignment.
• Long-Term (5+ years): Cardano established as the global standard for privacy-preserving medical research, unlocking billions in previously inaccessible healthcare data value.

For a modest 100,000 ADA, VetShare ZKP delivers outsized impact. Solving a real veterinary research barrier, showcasing Midnight in healthcare, and positioning Cardano as the platform of choice for privacy-preserving medical innovation.

[Required Acknowledgements] Consent & Confirmation

Terms and Conditions:

Yes