Nature Finance Intelligence · Terralyr
Credible, comparable spatial evidence for nature-based finance transactions. Built for project developers, structurers, and investors who need more than a project description.
We do not assess narrative quality. We assess spatial evidence completeness, MRV readiness, biodiversity data standards, and governance documentation against investor-grade benchmarks.
Project readiness assessment
Reserva Comunal Madre de Dios — NBS
Madre de Dios, Perú · 87,400 ha · REDD+/CCBS
Assessment dimensions
Spatial Evidence
VCS VM0015 · PRODES
Governance & Tenure
FPIC · IFC PS-7
Biodiversity
TNFD LEAP · SBTN Step 1
MRV Framework
GS-AFOLU · Gold Standard
Community Consent
ILO 169 · UNDRIP
Finance Alignment
TCFD · TNFD · ISSB
The problem
Investors and lenders face the same bottleneck across every transaction: project claims are narrative-based, spatial data is unverified, and MRV frameworks are established after financing — not before. This creates asymmetric risk and inflated due diligence costs.
No standardized evidence format
Each project delivers spatial claims in different formats, projections, and reference periods. Investors cannot compare across opportunities or aggregate portfolios.
72%
of NBS investors cite evidence quality as the primary diligence barrier
Spatial claims unverified at transaction
Boundary shapefile, carbon stock density, and deforestation baseline data are submitted without independent spatial verification against authoritative sources.
3–6×
higher due diligence cost when spatial data requires post-submission correction
MRV not established before financing
Monitoring, reporting and verification frameworks are typically designed post-close. Investors commit capital without knowing whether the agreed carbon or biodiversity metrics can be independently measured.
41%
of voluntary carbon projects experience verification delays due to MRV gaps
Biodiversity data not investor-grade
Species inventories, ecosystem service valuations, and TNFD disclosures are inconsistently documented. Most projects cannot meet SBTN Step 1 requirements at transaction time.
< 8%
of nature project pipelines in LATAM have TNFD-aligned biodiversity baseline data
Terralyr Nature Finance Intelligence
Six integrated capabilities. Each produces auditable spatial evidence linked to recognized standards. All outputs are versioned, traceable, and export-ready for investor data rooms.
Project Readiness Score
Composite 0–100 score across six evidence dimensions. Linked to VCS, GS-AFOLU, TNFD, and SBTN benchmarks. Updated in real-time as evidence is added.
Investor Data Room
Structured spatial evidence package. Automated completeness checklist. Chain-of-custody documentation for every dataset from source to report.
MRV Readiness Assessment
Baseline scenario validation, additionality corridor analysis, monitoring indicator design. Identifies MRV gaps before transaction close.
Biodiversity Evidence
Species inventory integration, IUCN red-list overlay, ecosystem service quantification. TNFD LEAP-aligned output for nature-related financial disclosures.
Bioeconomy Finance Scanner
NTFP inventory valuation, bioeconomy revenue stream identification, market linkage to processors and impact buyers across six LATAM commodities.
Habitat Bank Feasibility
No-net-loss compliance analysis, mitigation credit potential estimation, regulatory pathway mapping for national and subnational compensation programs.
Module 01 · Project Readiness Score
The Readiness Score aggregates six independent evidence dimensions into a 0–100 composite. Each dimension is scored against published methodology standards — not subjective analyst judgment. Gaps are quantified, not described.
Scores are reproducible — same inputs produce the same score, every time
Each dimension links to a specific evidence document or spatial dataset
Score recalculates in real-time as evidence is uploaded or updated
Comparative benchmarks available across LATAM NBS pipeline
Composite readiness score
Madre de Dios NBS — Cycle 3 assessment
Spatial Evidence
VCS VM0015 · PRODES baseline
Governance & Tenure
FPIC · IFC PS-7 · SERNANP
Biodiversity Baseline
TNFD LEAP · SBTN Step 1
MRV Framework
GS-AFOLU · UNFCCC modalities
Community Consent
ILO 169 · UNDRIP · FPIC
Finance Alignment
TCFD · TNFD · ISSB S2
3
Blocking issues
7
Evidence gaps
14
Verified layers
Evidence package — spatial layer inventory
Sentinel-2 deforestation baseline (2015–2025)
ESA · PRODES · MapBiomas
AOI boundary — legally verified polygon
SERNANP · Field GPS survey
Carbon stock density — above + below ground
GFW · WHRC Biomass Map
Protected area overlap — IUCN categories I–VI
WDPA · SERNANP registry
Biodiversity baseline — species occurrence data
GBIF · IUCN Red List · INRENA
Tenure boundary — community vs. cadastral
COFOPRI · SUNARP registry
Ecosystem service valuation (NTFP, watershed)
MEA framework · NTFP survey
FPIC consent documentation
Community assembly records
Module 02 · Investor Data Room
The Data Room is not a document folder. It is a structured evidence graph where each spatial layer is linked to its acquisition metadata, processing methodology, version history, and the specific due diligence question it answers.
Investors receive an auto-generated completeness checklist. Gap items are flagged with the specific document or dataset required to close them. No interpretation required.
Completeness checklist
Auto-generated per methodology
Chain-of-custody
Source → processing → report
Evidence graph
Linked datasets, full lineage
Gap closure tracking
Priority-ranked action items
Module 03 · MRV Readiness
MRV design is typically the most expensive post-close discovery. We identify indicator gaps, baseline data availability, and verification pathway options before transaction close — so investors know what they are committing to monitor.
01
Baseline validation
Historical deforestation scenario (10yr)
Reference region boundary
Additionality threat analysis
Carbon stock density verification
02
Indicator design
Carbon flux measurement approach
Biodiversity metrics selection
Community wellbeing proxies
Leakage belt definition
03
Reporting structure
Verification body identification
Monitoring plot network design
Data management system spec
Reporting period schedule
04
Verification pathway
VVB accreditation requirements
Auditor conflict-of-interest rules
Satellite vs. field verification ratio
Buffer pool calculation
Module 04 · Biodiversity Evidence
Biodiversity credit markets and TNFD-aligned reporting both require species occurrence data, ecosystem integrity assessments, and habitat condition baselines that most project developers have never collected in a structured, auditable format.
TNFD LEAP alignment
Locate, Evaluate, Assess, Prepare — structured output for corporate disclosures and DFI requirements.
SBTN Step 1 — scope and prioritize
Footprint mapping, dependency identification, and impact materiality for Science Based Targets for Nature.
Species occurrence integration
GBIF, iNaturalist, IUCN Red List, and field survey records unified in a single spatially indexed database.
Ecosystem service valuation
Watershed services, carbon sequestration, pollination, and non-timber products quantified against MEA and TEEB frameworks.
2,400+
Species occurrence records per AOI assessment
12
Ecosystem service types quantified
TNFD
LEAP-aligned output for nature disclosures
SBTN
Step 1 compatible scope and prioritization
4 groups
Flora / fauna / invertebrates / microhabitat
≥ 10yr
Minimum baseline period for all trend analysis
Module 05 · Bioeconomy Finance Scanner
Carbon offsets alone rarely make NBS projects bankable. The Bioeconomy Finance Scanner maps non-timber forest products, ecosystem service payments, and bioeconomy commodity linkages to identify blended-finance structures that reduce dependence on a single revenue stream.
Aguaje (Mauritia flexuosa)
Cosmetics · Food · Bioenergy
Area
12,400 ha
Est. volume
38 t/yr
Price range
$1.40–2.20/kg
Buyers
4 verified processors
Brazil nut (Bertholletia excelsa)
International specialty food
Area
8,200 ha
Est. volume
62 t/yr
Price range
$3.80–5.50/kg
Buyers
2 certified cooperatives
Copaíba resin
Pharmaceutical · Cosmetics
Area
3,100 ha
Est. volume
8 t/yr
Price range
$18–32/kg
Buyers
1 direct buyer LOI
The scanner cross-references NTFP inventory data, market price databases, and buyer directories across Peru, Brazil, Colombia, Bolivia, and Ecuador. Outputs include a revenue model with base, conservative, and optimistic scenarios, and a buyer matching report with contact-verified processors and exporters.
Module 06 · Habitat Bank Feasibility
Infrastructure developers, mining companies, and regulated entities across LATAM face growing no-net-loss obligations. Habitat banks that generate biodiversity credits demand the same evidence standards as any investable asset: verifiable baselines, quantified ecological uplift, and auditable monitoring.
Maps national and subnational compensation regulations across 8 LATAM jurisdictions
Quantifies biodiversity credit potential using BBOP and national equivalency factors
Identifies qualified conservation areas and ecological connectivity corridors
Models credit absorption scenarios against identified liability holders within 150 km radius
8
Jurisdictions covered
PE, BR, CO, CL, MX, EC, BO, PY
Est. area
Mitigation credit potential
Per habitat bank per BBOP equiv.
150 km
Liability holder radius
Standard search perimeter
14
Regulatory frameworks mapped
National + subnational instruments
Feasibility output components
Regulatory pathway analysis
Ecological equivalency calculation
Credit absorption market scan
Land title and encumbrance check
Monitoring cost model
Binding agreement template
Request assessment
The initial assessment takes 5–10 business days depending on data availability. You will receive a scored readiness report, an evidence gap matrix, and a recommended action plan before any engagement is formalized.
Submit project brief
Name, location, area, mechanism, and any existing documentation.
Data intake
We request your existing spatial files, boundary shapefile, and available reports.
Assessment delivery
Readiness score, evidence gap matrix, and recommended next steps within 5–10 days.
Scope engagement
Based on the assessment, we scope the evidence-building work required.