Platform
The architecture behind every product.
CarbonBhoomi is built as a single system: capture at the farm, a verified data layer in the middle, intelligence on top, and outputs shaped for whoever is asking — a buyer, a regulator, a board or a financier. Data is collected once and reused everywhere, which is why measurement, traceability and finance stay consistent with each other.
Architecture
Four layers, from the field to the boardroom.
Data enters once at the top and passes downward through validation, calculation and analysis before it becomes an output. Nothing produced at the end of that chain exists without evidence captured at the start of it.
Capture
Everything the platform knows begins here — collected at source, not estimated downstream.
Verified Data
Raw inputs become a validated, versioned record with the evidence attached to every value.
Intelligence
Calculation, inference and analysis run on the verified layer — never on unchecked inputs.
Outputs
One shared record, shaped for whoever is asking — a buyer, a regulator, a board or a financier.
Digital Farm Identity
Every farm becomes a permanent, addressable record — GPS boundary, area, tenure, crop and variety, irrigation source, input history and season-by-season practice logs. Identity is the primitive everything else is built on: without it, no claim about a farm can be defended.
- Polygon boundary capture with GPS accuracy flags
- Household, tenure and cohort relationships
- Multi-season crop and practice history
- Deduplication across programmes and buyers
AI Engine
The engine reconciles what farmers report with what the land shows. It flags implausible yields, missing operations and boundary conflicts, classifies crops and practice signals, and prioritises which farms deserve a physical field visit.
- Crop and cropping-calendar classification
- Anomaly and outlier detection on activity data
- Practice-adoption inference from satellite signals
- Risk-based sampling for field verification
Satellite Intelligence
Multi-source remote sensing gives independent evidence at plot level: vegetation and canopy trends, water regime indicators for paddy, residue-burning detection and land-use change for deforestation-free claims.
- Plot-level vegetation and canopy time series
- Alternate wetting & drying indicators for rice
- Residue burning and bare-soil detection
- Land-use change history for EUDR due diligence
Data Collection Framework
Fieldwork is the hard part, so we built for it: configurable forms, offline-first capture in low-connectivity villages, local-language interfaces, photo and GPS evidence, and supervisor review before anything enters the verified layer.
- Offline-first mobile capture with sync queue
- Configurable forms per commodity and programme
- Local-language prompts and voice-assisted entry
- Two-step supervisor validation workflow
Surfaces
Three ways people work with the same data.
Analytics Dashboard
Emissions by scope, node and commodity; intensity per tonne; hotspot analysis; season-over-season trends; and drill-down from any chart to the underlying farm records.
Mobile Experience
A field-first Android app for officers and FPO staff: assigned farms, offline forms, boundary walk, photo evidence and advisory delivery in local languages.
Enterprise Dashboard
A control room for sustainability and procurement teams: supplier coverage, data completeness, compliance readiness by market, and report generation with approvals.
Security & data privacy
Farm data is sensitive. We treat it that way.
Enterprise controls with farmer consent at the centre — because a platform that mishandles either loses the right to operate.
Data ownership
Your data stays yours. Contractual ownership, defined retention, and export on demand in open formats.
Access control
Role-based permissions across enterprise, FPO and field-officer tiers, with full action audit logs.
Encryption
Encryption in transit and at rest, with regional hosting options for data-residency requirements.
Farmer consent
Explicit, recorded consent for farm data use, with purpose limitation and withdrawal supported.
Audit readiness
Immutable evidence trail — who recorded what, when, with which method and factor version.
Standards alignment
Controls mapped to enterprise procurement and information-security review requirements.
Future integrations