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
Capture the ground data
FloraTrace
A field app for project teams. Map plot boundaries, run the baseline survey, and QR-tag every tree with its species, location, DBH, height, health and a photograph. Records sync to the Flora portal, so the field data is the starting point for every later step.
- In
- Plots, farms and saplings
- Out
- Plot boundaries (KML), baseline data and per-tree records, synced to the portal
- Opens a plot in FloraScope
- Opens measurements in FloraCarbon
- Exports plots as KML
ComingField records fingerprinted and anchored on a public blockchain, so any later change to a record can be detected. Not live yet.
Example record
- Tree ID
- WB-PUR-004871
- Position
- 23.3321, 86.3644
- Records
- 5,000+
02
Assess and monitor from space
FloraScope
Takes the boundaries and baseline from FloraTrace and runs satellite pre-feasibility: land-use history, forest loss, terrain and climate, scored against Carbon Standard eligibility before anyone visits the site.
- In
- A boundary (KML) and baseline data
- Out
- Land-use and forest-loss history, and an eligibility score
- Opens the plot in FloraTrace
- Feeds the FloraCarbon estimate
ComingMonitoring after planting: canopy and vegetation tracked remotely and checked against tree records verified in the field.
Example record
- Boundary
- 412.6 ha
- Forest loss 2001–24
- 3.1 %
- Verdict
- Eligible
03
Know your credits, year by year
FloraCarbon
Species-level sequestration over a thirty-year horizon, using growth models for more than seventy-five species across six countries, calibrated on eight registered projects. Baseline, leakage and buffer are deducted to give net credits by year.
- In
- Species mix, planting density and horizon
- Out
- Net tCO₂e by year, with the growth model behind every figure
- Opens FloraTrace measurements directly
ComingEstimated project revenue alongside the credit forecast.
Example record
- Species
- Tectona grandis
- Density
- 1,100 / ha
- 30-yr removal
- 38,940 tCO₂e
04
Draft, report and audit-proof
Carbon Intel
Our flagship AI model for carbon project documentation. It reads your project evidence, flags every compliance gap against the chosen methodology, and drafts the Project Design Document, monitoring reports and audit responses, with a citation behind each claim.
- In
- Project evidence and the methodology
- Out
- A drafted PDD or monitoring report, gaps flagged, and a citation under every claim
Example record
- Section
- PDD §2.4 Baseline
- Gaps flagged
- 6
- Citations
- 41
05
Find your way through the rules
Carbon Compass
The registry corpus, parsed. More than fifty methodologies across eleven registries, each linked to the documents, templates and evidence it requires. Use it at any stage to find out exactly what applies to your project.
- In
- Project type and geography
- Out
- The applicable methodology and the full document set it requires
Example record
- Registry
- Verra VCS
- Methodology
- VM0047 v1.0
- Required documents
- 14
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
Collect
Plot boundaries (KML), baseline data and per-tree records, synced to the portal
02
Assess
Land-use and forest-loss history, and an eligibility score
03
Quantify
Net tCO₂e by year, with the growth model behind every figure
04
Document
A drafted PDD or monitoring report, gaps flagged, and a citation under every claim
05
Navigate
The applicable methodology and the full document set it requires
Human judgement above the modules
Our AI model does the heavy lifting. Experts make sure it stands up to scrutiny.
Software automates the analysis. It cannot anticipate how a validator will challenge the project, so an expert reviews every module's output before it reaches certification.
- 01
Feasibility
Assessed by model, confirmed by an expert.
The model scores eligibility, species, cost and carbon potential. An expert checks the assumptions and confirms the pathway before capital is committed.
- 02
Documentation & validation screening
Drafted by AI, read as a validator would.
AI drafts the PDD, the calculations and the evidence review. An expert then screens it from the validator's side, so gaps surface early rather than in review.
- 03
Monitoring & issuance
Automated capture, expert quality assurance.
Field data, biomass and carbon calculations are processed automatically. Experts check them for accuracy and traceability before verification.
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 Carbon Intel are free to start, with no procurement cycle. Ask us for field access to FloraTrace.