ARR pre-feasibility assessment
Structured screening of concept quality, assumptions, and delivery constraints.
Early-stage ARR feasibility engine
Early-stage ARR feasibility engine for carbon projects.
Understand whether your project is viable before committing serious time and capital. Carbon Roots helps developers, landowners, originators, and climate-finance teams screen viability early, identify risks before execution, and avoid wasted development cost.
Commercial positioning
Pre-feasibility is cheaper than developing a non-viable project.
Early-stage
Indicative
Screening-level
Pre-feasibility
Decision-support
Clarity of offer
A focused screening layer between idea and full project development.
Carbon Roots is designed for the early stage, where key assumptions are still uncertain and decisions need to be made quickly. The objective is simple: determine whether an ARR pathway looks commercially worth pursuing.
It is decision-focused, risk-aware, and built for practical action, not abstract analysis.
What this helps you decide
- Proceed now with clearer confidence
- Proceed conditionally with targeted data improvement
- Pause before avoidable cost and execution risk
Carbon Roots engine
Structured system workflow in seven concise steps.
Core services
Focused analysis for ARR pre-feasibility and early viability.
Indicative sequestration modelling
Conservative estimation with proxy species or regional parameters where required.
Risk-adjusted issuance views
Buffer, leakage, and delay logic with P50/P90 style issuance framing.
Financial viability screening
Revenue scenarios, NPV, IRR, payback, and sensitivity on price/yield/timing.
Risk and data-gap assessment
Clear visibility on assumptions that could break project viability.
Investment-readiness support
Decision-support outputs for developer, partner, and investor conversations.
Stack
Engine core + structured analysis layers.
- Proprietary ARR modelling engine (Excel-based core)
- Structured calculations aligned to ARR methodology principles (including VM0047-style logic)
- Scenario engine for low/mid/high price and yield assumptions
- Risk-adjusted issuance modelling with P50/P90 logic
- Sensitivity analysis layer for key commercial drivers
Supporting tools and method posture
Supporting tools
Geospatial inputs (where available), data structuring pipelines, and dashboard-ready schema outputs for BI tools.
Positioning
Designed as a screening-level analytical layer today, built to evolve into a more automated ARR modelling workflow.
What you get
Tangible outputs you can use to make a real decision.
Feasibility summary (PDF/memo)
Clear go / no-go / conditional view with key assumptions and recommendation.
Carbon projections
Estimated total credits, annual issuance curve, and scenario comparisons.
Financial outputs
Revenue scenarios, NPV, IRR, payback period, and key sensitivities.
Risk and data-gap assessment
What is uncertain, what needs validation, and what could break project viability.
Optional structured model
Editable Excel-based model with investor-ready assumptions structure.
Dashboard-ready dataset (optional)
Clean schema suitable for Looker or other BI workflows.
Typical turnaround: 3-7 days for standard pre-feasibility, 7-14 days for more complex or data-heavy projects.
Example output
Concept project: ARR screening output
Illustrative pre-feasibility output from the Carbon Roots engine.
NPV
Not available
IRR
Not available
Total Credits
Not available
Break-even Price
Not available
Payback Period
Not available
Projected revenue
Awaiting LOOKR_ISSUANCE data.
Projected credit issuance
Awaiting LOOKR_ISSUANCE data.
Decision brief
Project classification:
Trust and credibility
Methodology-aware, robustly structured, and built for early-stage decisions.
- Model structure built around methodology-aligned ARR principles at screening level.
- Outputs stress-tested through conservative assumptions, risk adjustments, and scenario analysis.
- Designed to surface uncertainty, data gaps, and commercial pressure points early.
Validation approach
How robustness is built in
The model uses methodology-aligned logic, structured assumptions, and downside testing to produce disciplined screening outputs rather than optimistic headline numbers.
Scope boundary
This remains a screening-level decision-support tool, not validation, verification, registry approval, investment advice, or guaranteed returns.
Contact
Share your project and get an early-stage viability view.
Minimum inputs: country/region, land area, land type, project concept, and timeline expectations. Preferred inputs include boundaries, species intentions, prior studies, and implementation assumptions.
Project intake
Request a Project Snapshot
Provide a few key details about your project. You do not need exact inputs — missing values will be estimated using regional and project-specific benchmark assumptions.