Rymba
By RymbaRymba uses AI and remote sensing to turn drone, satellite, and LiDAR data into real-time forest intelligence, tracking tree species, biodiversity, and carbon stock for ESG, forestry, and climate reporting. We help protect nature with data that actually works.
- Stage
- In pilot
- Industries
- Climate and sustainability
- Agriculture
- Deployment
- Cloud (SaaS)
Why it is worth it
Rymba is the first Southeast Asia–based AI platform purpose-built for forest intelligence, optimized for tropical and subtropical ecosystems. Our competitive edge includes: • Localized AI Models: Trained specifically on Southeast Asian forest types and tree species, including mangroves, peat swamps, and dipterocarp rainforests. • End-to-End Ecosystem Monitoring: Combines drones, LiDAR, multispectral, hyperspectral, and satellite inputs into a unified platform for tree-level insights, including species ID, biomass, carbon, biodiversity, and forest health. • ESG & Biodiversity Reporting Alignment: Outputs designed to map directly to frameworks like GRI, TNFD, Global Biodiversity Standard, and IFRS S2, helping corporates and governments stay compliant and transparent. • Real-Time and Affordable: Unlike many US- or EU-based tools built for temperate regions with long processing times, Rymba delivers faster, region-specific insights for tropical nations where data is most needed, and often most lacking.
- Lack of Verified Nature-Based Data
- Most ESG disclosures and forest projects rely on estimations or static field surveys, creating high risk for greenwashing and compliance failure.
- 1. Rymba delivers traceable, AI-verified data on biodiversity, carbon, and land change.
- 2. Manual, Costly Field Monitoring
- Conventional biodiversity or forest assessments require costly boots-on-ground every few months.
- 3. We use drones + AI to reduce fieldwork cost and time by 70%+ with monthly digital updates.
- 4. Difficulty Proving Carbon Credit Validity
- With recent scandals around unverifiable carbon credits, buyers demand science-backed, transparent baselines.
- 5. Rymba automates carbon stock estimation & forest health analysis in compliance with Verra, Gold Standard, and TNFD frameworks.
- 6. Pressure to Comply with ESG Frameworks (GRI, IFRS, TNFD)
- Enterprises are expected to report detailed, site-level impacts and risks related to biodiversity and emissions.
- 6. Rymba’s insights align directly with GRI 304, TNFD LEAP approach, and IFRS S2 climate metrics.
- 7. Lack of Scalable Tools for Biodiversity Accounting
- Enterprises don’t have a way to systematically account for nature-based dependencies or offsets.
- 8. Rymba offers AI models that track forest species, canopy cover, and ecological changes at scale.
Opening the deck…
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Best customer profile
- An ideal Rymba customer is a mid to large enterprise or government agency in sectors such as:
- Forestry & Plantation
- Needs accurate tree inventory, forest health tracking, and species classification across large land areas.
- Typically owns or manages 1,000+ hectares of forest or estate land.
- Carbon Credit Developers / ESG Consultants
- Requires science-based, third-party-verifiable data on carbon stock, biomass, and land use change.
- Engaged in projects seeking Verra/Gold Standard certification.
- Agricultural Estate Owners (Palm oil, Rubber, Cocoa, etc.)
- Looking to monitor crop maturity, land degradation, tree stress, or optimize replanting strategies.
- Committed to ESG compliance or regenerative agriculture models.
- Corporates with ESG Disclosure Obligations
- Listed companies, especially those under Bursa Malaysia’s sustainability reporting mandate.
- Facing stakeholder and investor pressure to show traceable environmental impacts.
- Multilateral Organizations & NGOs
- Running biodiversity, conservation, or ecosystem restoration programs.
- Need scalable and transparent MRV (Monitoring, Reporting, Verification) support.
Notable paying customers
- UNDP Deloitte
1. Strategic Pilots & Partnerships Secured • Successfully onboarded two Malaysian government-linked agencies: • FRIM (Forest Research Institute Malaysia) – Currently executing multi-site pilots (Dipterocarp, Peat Swamp, Mangrove) to validate AI-based forest monitoring and carbon tracking. • Jabatan Lanskap Negara (National Landscape Department) – Conducted a proof-of-concept for urban biodiversity mapping at Bukit Kiara Forest Reserve. 2. Product & Platform Milestones • Completed MVP development of the Rymba AI platform: • Integrates drone, satellite, LiDAR, and multispectral data • Functional modules for tree species recognition, biomass estimation, carbon stock analysis, and canopy cover metrics • Initiated AI model training for core forest types (Tropical Lowland Rainforest, Mangroves, Peat Swamps) 3. Customer Traction & Pipeline • In discussions with several additional government and private sector clients across Malaysia, Singapore, and Canada • Strong interest from organizations like UNDP Malaysia, Yayasan Hijau Malaysia, and Sarawak Forestry stakeholders 4. Recognition & Network Access • Selected as a panel speaker at national and regional climate/ESG events hosted by: • Malaysian Institute of Accountants (MIA) • UNDP Climate Governance Malaysia • Leave a Nest Japan – Tech Planter Southeast Asia Showcase 5. Funding & Support • Bootstrapped to date • Currently applying for grants and incentive programs (MDEC Global Testbed, regional accelerators, and biodiversity innovation funds) 6. Technical Innovation • Built pipeline for species-level tree classification using drone imagery and deep learning • Developed scalable workflow for above-ground biomass estimation aligned with IPCC guidelines