The Technology Behind
BotDigit ClimateOS
Traditional ESG software stops at retrospective reporting. BotDigit is a real-time computation layer built in Rust that ingests operational telemetry, calculates auditable carbon equivalencies, and converts intelligence into tracked engineering tasks.
4-Layer Carbon Accounting Stack
Telemetry & Data Ingestion
Accepts continuous inputs from enterprise utility meters, fleet logs, fuel meters, supply chain invoices, and hardware serial numbers normalized across ISO 14064 categories.
Deterministic Rust Calculation Engine
High-performance Rust routines combining India-specific CEA Baseline Database v18 (0.82 kg/kWh national avg; 0.29 kg/kWh Himachal Hydro) with EPA WARM v15 and electronics LCA models.
EcoMind Intelligence & Cohort Benchmarks
Anomaly detection models evaluate client footprints against industry cohorts (e.g. IHCL EarthCheck room-night benchmarks) to generate prioritized recommendations with ROI estimates.
Action → Task → Verified Outcome
The core difference: recommendations spawn tracked tickets in the BotDigit Workspace with mandatory evidentiary upload before verification.
// Native Rust Multi-Category Emissions Calculation
pub fn calculate_energy_footprint(kwh: f64, source: &str, region: Option<&str>) -> FootprintResult {
let factor = match region.unwrap_or("india") {
"himachal_pradesh" | "hp" => HP_GRID_EMISSION_FACTOR, // 0.29 kg CO2e / kWh
_ => INDIA_GRID_EMISSION_FACTOR, // 0.82 kg CO2e / kWh (CEA v18)
};
let co2e = kwh * factor;
FootprintResult {
co2e_emitted_kg: round2(co2e),
trees_equivalent: round1(co2e / 21.77),
methodology: "BotDigit-ClimateOS-v2.0",
emission_factor_source: "CEA CO2 Baseline Database v18, 2024",
}
}Ready to connect operations with measurable climate action?
Deploy audited hardware circularity, school inclusion, or energy efficiency through the BotDigit Eco platform.