Five modules. One project record.
Each module owns one stage of a carbon project and hands a structured record to the next. Registry-agnostic by design: the methodology corpus and compliance checks cover the standards a developer anywhere files under.
01
Assess land eligibility
FloraScope
Satellite pre-feasibility for any boundary: land use, forest loss, terrain and climate, scored against Gold Standard eligibility before anyone visits the site.
- In
- A boundary
- Out
- Land-use history, forest-loss record, terrain, climate and an eligibility score
Example record
- Boundary
- 412.6 ha
- Forest loss 2001–24
- 3.1 %
- Eligibility
- 0.87
02
Select the methodology
Carbon Compass
The methodology corpus, parsed. Fifty-plus methodologies across eleven registries, each linked to the documents and evidence it demands.
- In
- Project type and geography
- Out
- The applicable methodology and the document set it requires
Example record
- Registry
- Verra VCS
- Methodology
- VM0047 v1.0
- Required documents
- 14
03
Quantify the carbon
FloraCarbon
Species-level sequestration over a thirty-year horizon, from growth models for seventy-five-plus species across six countries, calibrated on eight registered projects.
- In
- Species mix, planting density, horizon
- Out
- tCO₂e by year, with the growth model behind every figure
Example record
- Species
- Tectona grandis
- Density
- 1,100 / ha
- 30-yr removal
- 38,940 tCO₂e
04
Generate project documentation
FloraGPT
Reads the evidence, flags every compliance gap against the chosen methodology, and drafts the Project Design Document with a citation behind each claim.
- In
- Evidence and the methodology
- Out
- A drafted PDD, gaps flagged, a citation under every claim
Example record
- Section
- PDD §2.4 Baseline
- Gaps flagged
- 6
- Citations
- 41
05
Tag, measure & monitor trees
FloraTrace
Tree-level QR tagging and plot monitoring in the field. Every sapling gets an ID, a location, a planting record and a photograph — the ground truth verification runs on.
- In
- Plots and saplings
- Out
- Per-tree records across the crediting period
Example record
- Tree ID
- WB-PUR-004871
- Position
- 23.3321, 86.3644
- Records
- 5,000+
What they share is the record.
A project's geometry, evidence and monitoring history live in one place for the whole crediting period. A validator can trace any figure in the filing back to the satellite pass or the tree that produced it, and nothing is typed twice.
01
Screen
Land-use history, forest-loss record, terrain, climate and an eligibility score
02
Select
The applicable methodology and the document set it requires
03
Quantify
tCO₂e by year, with the growth model behind every figure
04
File
A drafted PDD, gaps flagged, a citation under every claim
05
Measure
Per-tree records across the crediting period
Human judgement above the modules
Our AI model does the heavy lifting. Experts make sure it stands up to scrutiny.
Technology can automate analysis, calculations, and documentation. But carbon projects still require experienced judgement to interpret methodology requirements, assess evidence, identify risks, and anticipate how a validator or verifier may challenge the project.
Our experts review the outputs from each module and apply real project and audit experience before the project reaches certification.
- 01
Feasibility
AI-powered assessment, expert-validated.
Our AI model assesses land eligibility, suitable project types and standards, species options, estimated costs, carbon potential, and indicative revenues. An expert then reviews the results, checks assumptions, and confirms the most viable pathway before major time or capital is committed.
- 02
Project documentation & validation screening
AI-generated. Expert-reviewed. Validation-ready.
Our AI supports project design, methodology interpretation, PDD preparation, calculations, and evidence review. An experienced expert then screens the complete project from a validator’s perspective, identifying gaps early and helping reduce avoidable review cycles.
- 03
Monitoring & issuance
Automated monitoring, backed by expert quality assurance.
Our technology captures and processes field data, monitoring evidence, biomass estimates, carbon calculations, and reporting. Experts review the outputs for accuracy, traceability, and consistency so the project can progress through verification and issuance with stronger data integrity.
Built for nature-based projects.
The species models, the field layer and the methodology corpus are all tuned to removals and avoided loss on land.
See where it is runningAgroforestry
Smallholder and grouped projects, where per-tree evidence is what keeps monitoring cheap enough to work.
Afforestation and reforestation
Large-scale ARR, urban afforestation and Miyawaki plantations, quantified at species level.
Mangrove and blue carbon
Coastal restoration with the tidal, soil and biomass evidence blue carbon methodologies demand.
REDD+ and improved forest management
Avoided loss and improved management, screened against the forest-loss record from the first pass.
Fifty-plus methodologies across eleven registries, parsed and linked to the evidence each one demands
Start at stage one.
FloraScope, Carbon Compass, FloraCarbon and FloraGPT are free to start, with no procurement cycle. Ask us for field access to FloraTrace.