Last updated 2 weeks ago
Lack of MRV-grade, tamper-evident geospatial data on Cardano limits adoption in carbon, agriculture, and climate projects. Fund 12 proved concept; now we must meet MRV standards at scale.
Scale EcoMandala to MRV-grade dynamic H3 NFTs with verified updates, AI-enhanced satellite data, API v2, and partner integration for carbon and climate project verification.
Please provide your proposal title
EcoMandala v.2 – On-chain Environmental Intelligence
Enter the amount of funding you are requesting in ADA
96000
Please specify how many months you expect your project to last
9
Please indicate if your proposal has been auto-translated
No
Original Language
en
What is the problem you want to solve?
Lack of MRV-grade, tamper-evident geospatial data on Cardano limits adoption in carbon, agriculture, and climate projects. Fund 12 proved concept; now we must meet MRV standards at scale.
Supporting links
Does your project have any dependencies on other organizations, technical or otherwise?
No
Describe any dependencies or write 'No dependencies'
No dependencies
Will your project's outputs be fully open source?
Yes
License and Additional Information
All code developed as part of the proposed project will be released under the Creative Commons license.
Please choose the most relevant theme and tag related to the outcomes of your proposal.
Supply Chain
Describe what makes your idea innovative compared to what has been previously funded (whether by you or others).
EcoMandala v2 advances the Fund 12 concept from a prototype into a production-ready MRV platform. Unlike the initial static NFTs, it delivers dynamic H3 NFTs with MRV-compliant metadata, verified update cycles, and AI-enhanced satellite imagery. It introduces a time-series API with webhooks, aligned to ISO 14064/Verra standards, enabling carbon and climate projects to directly integrate auditable, on-chain environmental data—bringing Cardano into the core of sustainability verification workflows.
Describe what your prototype or MVP will demonstrate, and where it can be accessed.
The MRV will demonstrate how dynamic, on-chain H3 NFTs can store verifiable environmental indicators such as vegetation cover, biomass change, and land use, updated on a fixed schedule from AI-enhanced satellite data. Each NFT will serve as a tamper-evident “environmental passport” for its hex location, with full provenance and time-stamped change history. The dataset and time-series API will be publicly accessible via the EcoMandala web portal, open API v2 endpoint, and directly on Cardano through NMKR-minted metadata records.
Describe realistic measures of success, ideally with on-chain metrics.
Success will be measured by concrete, verifiable on-chain and usage metrics:
Please describe your proposed solution and how it addresses the problem
EcoMandala v2 is the Monitoring, Reporting, and Verification (MRV) evolution of our successful Fund 12 project, which proved the feasibility of using H3 hexagonal NFTs on Cardano for tamper-evident geospatial data integrity. In Fund 12, we delivered a working proof-of-concept:
1,000 H3 NFTs minted with NMKR, each representing a fixed geographic area.
API v1 for accessing geospatial attributes linked to these NFTs.
Demonstrated integration with real-world geospatial datasets.
Public close-out reporting with open-source schema and documentation.
In Fund 14, EcoMandala v2 scales the concept into a production-ready MRV data infrastructure capable of serving environmental projects that require auditable, high-quality geospatial evidence for carbon accounting, regenerative agriculture, conservation, and climate finance.
The new system will support ≥10,000 dynamic NFTs (H3 L8/9 coverage for a pilot country), each functioning as a continuously updated “environmental passport” with MRV-compliant metadata. Updates will be cryptographically signed, time-stamped, and stored on Cardano, ensuring full traceability and auditability.
2.1 Dynamic MRV Updates
Where Fund 12’s NFTs were minted as static records, EcoMandala v2 introduces scheduled, verifiable updates
to metadata. This enables a time-series of environmental indicators—e.g., vegetation cover %, NDVI anomaly, biomass change—aligned with MRV reporting cycles.
On-chain change history: Every update will produce a new transaction referencing the NFT policy ID, with versioned metadata for that hex.
Audit trail: Verifiers can reconstruct the full historical state of any location.
2.2 MRV Data Schema and Standards
EcoMandala v2 will implement a metadata schema aligned to widely adopted MRV methodologies, such as ISO 14064 for greenhouse
gas accounting and Verra’s Verified Carbon Standard. Key features:
Standardized field names and units for interoperability.
Explicit provenance fields linking to original satellite data sources.
Quality flags and confidence intervals for each metric.
Change detection indicators to flag significant environmental events.
2.3 AI-Enhanced Satellite Imagery
To achieve MRV-level quality, we will integrate AI super-resolution and cloud-masking pipelines for Sentinel-2 data, reducing noise and filling data gaps. This builds on our existing
expertise in Gamma Earth S2DR3 technology, capable of 10× upscaling optimized for soil and vegetation spectral bands.
Cloud-free composites: Generated at each reporting interval.
Higher spatial detail: Improves accuracy of derived MRV metrics.
Consistent temporal cadence: Aligns with monthly/quarterly MRV reporting.\n\n2.4 API v2 & Developer SDK
The API will be upgraded from a basic query endpoint to a robust API v2 with:
Indexed time-series queries by H3 index, date range, or MRV indicator.
Webhook notifications for real-time update events.
API keys and rate limiting to manage high-volume access.
Improved SDK for easy integration into dApps and verification tools.
2.5 Pilot Partner Integration
We will onboard at least one production MRV partner in carbon accounting or regenerative agriculture, integrating EcoMandala NFTs directly into their workflow. This ensures our outputs are tested in real verification pipelines.
3.1 Data Flow
metrics.
Preprocessing: Apply atmospheric correction, cloud masking, and compositing.
AI Enhancement: Apply super-resolution and
spectral optimization for MRV indicators.
Metric Extraction: Calculate vegetation indices, biomass estimates, and other MRV metrics.
Metadata Assembly: Populate MRV schema with current values, provenance, and quality flags.
On-Chain Update: Push updated metadata to the corresponding NFT’s on-chain record via NMKR or direct transaction.
API Publication: Index the updated state and serve it via API v2 and SDK.
3.2 On-Chain Design
Single Policy ID: All EcoMandala v2 NFTs minted under one open policy for easy tracking.
Deterministic Token Naming: Each NFT’s name encodes its H3 index for unambiguous location mapping.
Metadata Versioning: A new metadata version is pushed at each scheduled update without burning/re-minting.
EcoMandala Web Portal: Interactive map showing each H3 hex with latest MRV indicators, change history, and download links.
Open API v2: Developers can query specific metrics, date ranges, or geographies; supports JSON and GeoJSON output.
Direct Blockchain Access: All data also available by reading NFT metadata directly from Cardano nodes.
SDK and Documentation: Open-source MIT-licensed developer tools and guides.
The MRV pilot will prove that Cardano can be a credible infrastructure layer for environmental verification. We will
demonstrate:
Full on-chain history of MRV metrics for ≥10,000 H3 hexes in the pilot area.
Automated detection and flagging of significant environmental changes.
Integration into a third-party MRV workflow, producing a real verification report referencing Cardano
transaction IDs.
Please define the positive impact your project will have on the wider Cardano community
EcoMandala v2 directly addresses one of the most pressing challenges in environmental and climate-related blockchain applications: the availability of verifiable, high-quality geospatial data that can withstand independent audit and be trusted in Monitoring, Reporting, and Verification (MRV) workflows.
By scaling our proven Fund 12 concept into an MRV-grade infrastructure, we move Cardano from an experimental demonstration into the realm of production-ready environmental data integrity. The
project’s impact will be felt across multiple dimensions:
Cardano has an active community exploring climate action, regenerative agriculture, carbon markets, and supply chain transparency. However, most existing solutions rely on off-chain, opaque datasets that limit trust and interoperability. EcoMandala v2 will position Cardano as a credible infrastructure layer for environmental verification, providing:
By providing ≥10,000 dynamic H3 NFTs covering a pilot country or large region, EcoMandala v2 will enable:
EcoMandala v2 fosters a data commons for sustainability on Cardano. Because the NFTs and their metadata are public, any developer can:
This lowers the barrier to entry for impact-driven startups, NGOs, and researchers, encouraging them to build within the Cardano ecosystem.
but by how it is adopted:
engagement.
These targets will demonstrate that EcoMandala is not just a tech demo, but an active, integrated component of real-world environmental solutions.
While much of blockchain adoption focuses on financial applications, EcoMandala v2 showcases Cardano’s potential for societal and planetary benefit. Every NFT, every metadata update, every API query is an example of blockchain being used to protect the environment and enhance trust in sustainability reporting.
The public, visible nature of these records means anyone can independently verify that the data is there, that it hasn’t been tampered with, and that it reflects the stated methodology. This transparency is the foundation for trust at scale—trust in the data, in the verification process, and in Cardano as the infrastructure layer.
Beyond the initial 6-month delivery, EcoMandala v2 is designed to be:
Extensible — new MRV metrics (e.g., soil moisture, biodiversity indicators) can be added without changing the core architecture.
Replicable — the model can be deployed to other countries or regions, building a global network of MRV-grade environmental passports.
Sustainable — the open API and SDK reduce the cost for other projects to integrate, while partnerships with MRV providers and carbon registries ensure ongoing relevance.
Over time, EcoMandala can become a global standard for blockchain-based geospatial MRV, with Cardano as the trusted ledger.
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?
EcoMandala v2 builds directly on the success of our Fund 12 project “EcoMandala: Hexagonal NFTs for Geospatial Data Integrity on Cardano”, which was delivered on time, in full, and publicly documented.
In Fund 12, our team successfully:
Designed and implemented an H3-based geospatial NFT model on Cardano.
Minted 1,000 NFTs via NMKR with geospatially accurate metadata.
Built and deployed API v1 for off-chain query access to on-chain data.
Demonstrated an end-to-end integration of satellite-derived geospatial attributes into NFT metadata.
Completed all milestones and reporting requirements, resulting in “Completed” status in Catalyst’s public tracker.
This completion history demonstrates not only technical capability but also competence in project management, budgeting, and transparent communication with the community.
Yosef Akhtman, PhD — Earth Observation, Geospatial AI, MRV Systems
Founder of Gamma Earth, Yosef has over 15 years of experience in applied remote sensing, geospatial AI, and environmental monitoring. He is the architect of the S2DR3 AI super-resolution model for Sentinel-2 data, enabling 10× resolution enhancement optimized for soil and vegetation spectral bands. His background includes:
Leading large-scale environmental monitoring projects in agriculture, forestry, and climate research.
Developing operational geospatial data pipelines for commercial and scientific use.
Designing data models for MRV compliance in carbon accounting and conservation projects.
Shay Gammer — Project Management, Blockchain Integration
Shay has a track record of managing blockchain-focused innovation projects, ensuring delivery to spec and within budget. In Fund 12, Shay coordinated between the geospatial engineering, blockchain integration, and NMKR teams to meet all milestones. Expertise includes:
Managing multi-stakeholder technical projects.
Overseeing system integration between on-chain and off-chain components.
Aligning deliverables with Catalyst’s governance and reporting standards.
NMKR Collaboration — NFT Minting & Metadata Infrastructure
Our technical partnership with NMKR, the leading NFT minting platform on Cardano, ensures:
Reliable, standards-compliant minting of large NFT collections.
Efficient metadata management and update patterns for dynamic NFTs.
Proven scalability from thousands to hundreds of thousands of NFTs.
The EcoMandala v2 system design is not speculative—it builds on an architecture already tested in Fund 12 and proven in real blockchain deployments. The key technical advancements in v2 (dynamic updates, MRV schema, API v2, AI-enhanced imagery) are:
Based on existing, operational AI pipelines already in use at Gamma Earth for commercial clients.
Leveraging proven Cardano NFT minting infrastructure from NMKR.
Implemented by the same software and data engineering team from Fund 12, now with additional MRV methodology expertise.
We have designed the project to be incrementally deployable, reducing execution risk:
MRV schema & coverage planning (Month 1–2) — fully within our expertise; no external dependencies.
Data ingestion & AI enhancement (Month 2–3) — using existing data pipelines with proven cloud-masking and super-resolution capabilities.
Dynamic NFT minting & API v2 (Month 3–4) — leveraging NMKR infrastructure and our API v1 codebase.
Partner integration (Month 4–5) — working with pre-identified MRV partner, with internal fallback if needed.
Public release & close-out (Month 5–6) — standard Catalyst process, already completed once before.
This phased plan means that core deliverables are achievable even if an external dependency experiences delays.
Data: Sentinel-2 imagery via Copernicus Open Access Hub, with optional commercial imagery for validation.
Processing: Cloud-based GPU instances for AI enhancement, using established workflows.
On-Chain: NMKR API + Cardano transaction tooling for bulk NFT minting and metadata updates.
Off-Chain: Node.js backend with PostgreSQL + PostGIS for API v2 indexing.
Integration: REST/GeoJSON API, TypeScript SDK, webhook events.
All required infrastructure is already available to the team; no critical technology needs to be invented from scratch.
We have identified and mitigated key risks:
On-chain cost spikes → batch metadata updates, compressed payloads, optimized frequency.
Satellite data gaps → use rolling compositing, multiple temporal snapshots, AI gap-filling.
Integration delays → maintain an internal MRV dashboard to validate system end-to-end regardless of partner schedule.
High API load → caching, rate limits, and key-based access control.
These measures ensure the project remains feasible within budget and timeframe.
Proven Catalyst delivery — Fund 12 completion with a working on-chain/off-chain system.
Technical mastery — direct expertise in Earth observation, AI-enhanced satellite data, and blockchain metadata systems.
Trusted partners — NMKR for on-chain infrastructure, established MRV network contacts for pilot integration.
Realistic scope — scaling up a validated architecture rather than starting from scratch.
Clear path to adoption — direct alignment with real MRV partner needs and open developer access for ecosystem uptake.
Milestone Title
MRV Schema Design & Coverage Planning
Milestone Outputs
We will define and validate the MRV metadata schema for dynamic H3 NFTs, ensuring compliance with international standards such as Verra VCS. The schema will cover environmental indicators (e.g., NDVI, biomass, land use) with definitions, units, update frequency, and provenance fields. Concurrently, we will map the pilot coverage area at H3 L8/9 resolution (~10,000+ hexes), selecting locations to maximize relevance for MRV use cases. Outputs will be shared openly for community and partner review to guarantee alignment with operational MRV workflows.
Acceptance Criteria
A) Published MRV schema document detailing all fields, units, and update protocols, hosted in the project’s GitHub repository under open license.
B) Interactive coverage map showing the selected pilot area H3 hex grid at L8/9 resolution, available on the EcoMandala portal.
C) Sample metadata records (at least 10) following the MRV schema for representative hexes, provided as JSON in the GitHub repo.
Evidence of Completion
A) MRV schema document is publicly accessible, aligned to ISO/Verra standards, and acknowledged by at least one MRV partner as fit for purpose.
B) Coverage map is live on the web portal and confirms correct geospatial alignment of H3 indices.
C) All 10 sample metadata records validate successfully against the schema with no structural errors.
Delivery Month
2
Cost
22000
Progress
30 %
Milestone Title
Data Pipeline & AI Enhancement
Milestone Outputs
We will implement the automated ingestion and processing pipeline for MRV metrics, sourcing Sentinel-2 L2A imagery from Copernicus. Processing will include atmospheric correction, cloud masking, temporal compositing, and AI-based 10× super-resolution (Gamma Earth S2DR3) optimized for vegetation and soil bands. The pipeline will produce cloud-free composites and enhanced imagery for the full pilot area, enabling high-quality MRV metric extraction. The resulting dataset will form the baseline for on-chain updates.
Acceptance Criteria
A) Operational ingestion pipeline with documented workflow, processing steps, and automation scripts, committed to GitHub.
B) Baseline enhanced imagery dataset for the pilot area, including both raw composites and AI-upscaled versions, stored for partner and internal use.
C) Initial MRV indicator set (e.g., NDVI, biomass estimates) for ≥500 sample hexes, exported as CSV/GeoJSON for verification.
Evidence of Completion
A) Pipeline processes at least one complete month of pilot data without errors and logs are available for audit.
B) Quality assessment report shows measurable improvement in spatial and spectral resolution for AI-enhanced imagery compared to raw data.
C) MRV indicators for ≥500 hexes match expected ranges and are validated by MRV partner or internal QA.
Delivery Month
4
Cost
26000
Progress
60 %
Milestone Title
On-Chain Dynamic NFTs and API v2
Milestone Outputs
We will mint ≥10,000 dynamic H3 NFTs under a single Cardano policy ID using NMKR infrastructure, with deterministic naming based on H3 index. Each NFT will be initialized with MRV-compliant metadata from the baseline dataset. We will implement scheduled update transactions, so each NFT’s MRV metrics are updated at fixed intervals and fully recorded on-chain. In parallel, API v2 will go live, enabling indexed time-series queries, webhook triggers, API key management, and GeoJSON export, accompanied by an open-source TypeScript SDK.
Acceptance Criteria
A) 50,000+ NFTs minted with valid MRV metadata, policy ID and minting transactions verifiable on Cardano explorer.
B) First update cycle executed, with updated MRV metrics recorded on-chain for all NFTs.
C) API v2 deployed with live endpoints, public documentation, and downloadable SDK in GitHub.
Evidence of Completion
A) Cardano explorer confirms ≥50,000 NFTs minted under a single policy ID with correct metadata schema.
B) At least one completed update cycle is visible on-chain, with all NFTs showing updated metrics.
C) API v2 returns correct MRV data for test queries, webhooks trigger on updates, and SDK passes integration tests.
Delivery Month
6
Cost
28000
Progress
80 %
Milestone Title
Partner Integration, Public Launch and Close-Out
Milestone Outputs
We will integrate EcoMandala v2 into at least one MRV partner’s workflow, delivering a custom dashboard that visualizes MRV metrics, exports verification reports, and demonstrates traceability from satellite data to on-chain records. We will launch the public EcoMandala v2 portal with full coverage map, API v2, and SDK access. A community webinar will be held to onboard developers and MRV practitioners. We will submit the Catalyst close-out report with KPI verification, budget reconciliation, and a roadmap for scaling.
Acceptance Criteria
A) Operational partner dashboard showing live MRV data and allowing report exports that reference NFT transaction IDs.
B) Public web portal with interactive map, on-chain history, API v2, and SDK access.
C) Community webinar recording and published close-out report with KPI achievements and roadmap.
Evidence of Completion
A) Partner confirms in writing that dashboard meets their operational needs and produces usable verification reports.
B) Public portal is accessible without authentication, coverage and MRV data are complete, and API v2 is functioning.
C) Close-out report contains verifiable KPI evidence (on-chain metrics, API logs, partner testimonial) and is accepted by Catalyst.
Delivery Month
9
Cost
20000
Progress
100 %
Please provide a cost breakdown of the proposed work and resources
Total Project Budget: ₳96,000
Duration: 9 months
Milestone 1 — MRV Schema Design and Coverage Planning
Budget: ₳22,000 (23% of total)
Cost Details:
MRV Methodology and Standards Alignment — ₳8,000
Specialist time to research, adapt, and formalize metadata schema to align with Verra VCS standards. Includes consultations with MRV experts.
Geospatial Analysis & Coverage Mapping — ₳7,000
GIS engineer time to design and generate the H3 L8/9 coverage for the pilot country (~10k hexes), optimize indexing, and prepare web mapping layers.
Documentation & Publication — ₳4,000
Preparation of open-access schema documentation, JSON templates, and interactive map embedding.
Partner Review & Validation — ₳3,000
Coordination with MRV partner to review, refine, and sign off the schema and coverage.
Purpose: Lays the foundation for MRV compliance and defines the full project scope before any on-chain minting begins.
Milestone 2 — Data Pipeline and AI Enhancement
Budget: ₳26,000 (27% of total)
Cost Details:
Data Acquisition and Processing — ₳8,000
Download and storage of Sentinel-2 L2A imagery, compute costs for preprocessing, atmospheric correction, and cloud-masking.
AI Super-Resolution and Enhancement — ₳10,000
GPU compute time and ML engineering for running Gamma Earth S2DR3 model on pilot area data, spectral calibration for MRV indicators.
Metric Extraction — ₳5,000
Derivation of vegetation and biomass metrics from enhanced imagery, QA checks.
Quality Assessment and Validation — ₳3,000
Comparative analysis of raw vs. enhanced imagery and validation against MRV partner expectations.
Purpose: Produces the high-quality, cloud-free, enhanced geospatial dataset that will populate the first on-chain NFT metadata set.
Milestone 3 — On-Chain Dynamic NFTs and API v2
Budget: ₳28,000 (29% of total)
Cost Details:
NFT Minting and On-Chain Integration — ₳12,000
Batch minting of ≥10,000 H3 NFTs via NMKR API, policy creation, deterministic naming, and metadata validation.
Scheduled Update Mechanism — ₳6,000
Development of automated update transactions to push new MRV data to NFT metadata on a fixed schedule.
API v2 Development — ₳7,000
Backend engineering for indexed queries, webhooks, API key management, and GeoJSON export.
SDK Development and Documentation — ₳3,000
TypeScript SDK creation, publishing on npm, and technical documentation.
Purpose: Bridges on-chain MRV records with off-chain access tools, enabling integration by third parties.
Milestone 4 — Partner Integration, Public Launch and Close-Out
Budget: ₳20,000 (21% of total)
Cost Details:
Partner Dashboard Development — ₳7,000
Build a tailored MRV dashboard for the partner, showing live metrics, historical changes, and exportable reports referencing NFT transaction IDs.
Public Portal Launch & API Access — ₳5,000
Web deployment of interactive coverage map, MRV data history, API v2, and SDK access.
Community Webinar & Onboarding — ₳3,000
Organizing and delivering a webinar for developers and MRV practitioners, producing recorded tutorials.
Catalyst Close-Out & Reporting — ₳5,000
Final KPI verification, budget reconciliation, roadmap documentation, and Catalyst close-out submission.
Purpose: Demonstrates the system in a real-world MRV workflow, opens public access, and completes all Catalyst reporting obligations.
Cross-Milestone Operational Costs
Included proportionally in each milestone above, covering:
How does the cost of the project represent value for the Cardano ecosystem?
The proposed ₳96,000 budget for EcoMandala v2 represents a high-impact, low-risk investment for Catalyst, delivering both a technically advanced MRV system and long-term open infrastructure for the Cardano ecosystem. The costs are proportionally allocated to direct, verifiable deliverables and have been benchmarked against market rates for equivalent geospatial and blockchain development work.
Our Fund 12 project was delivered on time, within budget, and with all milestones marked Completed. It produced tangible on-chain and off-chain outputs that remain accessible today. This track record demonstrates that we convert Catalyst funds into functioning, real-world systems rather than speculative concepts. EcoMandala v2 builds directly on this tested architecture, which reduces development risk, avoids duplication of work, and increases the efficiency of Catalyst’s investment.
The budget is weighted towards core technical deliverables rather than overhead:
77% of total funds (₳74,000) go to direct development activities — AI-enhanced data pipeline, large-scale NFT minting, dynamic update mechanisms, API v2, and MRV dashboard.
15% of funds (₳14,000) support operational tasks essential for adoption — partner integration, public portal deployment, SDK release, and developer onboarding.
8% of funds (₳8,000) cover project management, Catalyst close-out reporting, and contingency for unforeseen technical issues.
Every line item maps directly to a public, verifiable output — whether that is an on-chain NFT policy, a GitHub repository, a public API, or a live dashboard.
Delivering ≥10,000 dynamic NFTs with verifiable MRV data, AI-enhanced imagery, and open developer tooling would typically require a multi-hundred-thousand-dollar budget in commercial MRV contexts. By leveraging:
Open-source satellite imagery (Sentinel-2),
Existing AI pipelines (Gamma Earth S2DR3),
Established NFT infrastructure (NMKR),
…we can compress delivery costs by more than 50% compared to commercial market rates, while still meeting rigorous MRV standards.
This is not a one-off product — EcoMandala v2 creates lasting, reusable infrastructure:
Open-source MRV schema that can be adopted by any Cardano project needing geospatial verification.
Public API v2 and SDK to enable rapid integration by third-party developers.
On-chain environmental data layer covering an entire country’s H3 grid, which can be expanded to other geographies.
Because the outputs are reusable and openly licensed, Catalyst’s initial investment will continue to generate value long after the project’s 6-month delivery window ends.
We will provide verifiable on-chain and off-chain metrics to prove value creation:
≥10,000 NFTs minted and updated on-chain (viewable in Cardano explorer).
≥50,000 on-chain metadata updates within the project period.
≥3 third-party API integrations within 3 months of launch.
≥1 MRV partner actively using EcoMandala in production by project close.
These metrics ensure that Catalyst can quantify the return on its funding in terms of adoption, ecosystem usage, and real-world environmental impact.
Risk factors (e.g., satellite data gaps, on-chain cost spikes, partner delays) have been pre-mitigated through technical solutions (multi-date compositing, batch updates, fallback dashboards) and scope planning (incremental milestone delivery). This approach minimizes the chance of cost overrun or incomplete delivery, ensuring Catalyst funds are used effectively.
EcoMandala v2 is designed to act as a reference implementation for blockchain-based MRV systems. Once live, it can be cloned, extended, or adapted by other Cardano projects in:
Carbon markets and climate finance.
Regenerative agriculture and forestry.
Urban planning and conservation monitoring.
By providing these capabilities as a public utility, we enable other Catalyst-funded teams to build on top without having to invest in the same infrastructure, multiplying the impact of this single funding decision.
Terms and Conditions:
Yes
Yosef Akhtman, PhD — Earth Observation, Geospatial AI, MRV Systems
Founder of Gamma Earth, Yosef has over 15 years of experience in applied remote sensing, geospatial AI, and environmental monitoring. He is the architect of the S2DR3 AI super-resolution model for Sentinel-2 data, enabling 10× resolution enhancement optimized for soil and vegetation spectral bands. His background includes:
Leading large-scale environmental monitoring projects in agriculture, forestry, and climate research.
Developing operational geospatial data pipelines for commercial and scientific use.
Designing data models for MRV compliance in carbon accounting and conservation projects.
Shay Gammer — Project Management, Blockchain Integration
Shay has a track record of managing blockchain-focused innovation projects, ensuring delivery to spec and within budget. In Fund 12, Shay coordinated between the geospatial engineering, blockchain integration, and NMKR teams to meet all milestones. Expertise includes:
Managing multi-stakeholder technical projects.
Overseeing system integration between on-chain and off-chain components.
Aligning deliverables with Catalyst’s governance and reporting standards.
NMKR Collaboration — NFT Minting & Metadata Infrastructure
Our technical partnership with NMKR, the leading NFT minting platform on Cardano, ensures:
Reliable, standards-compliant minting of large NFT collections.
Efficient metadata management and update patterns for dynamic NFTs.
Proven scalability from thousands to hundreds of thousands of NFTs.