Our Innovations

From Innovative BioChar to Environmentally-friendly Retrofits, we deliver tools and solutions for your farms needs.

All Innovations

Discover our Innovations

IoT & Machine Learning

Industrial CO₂ capture

Control, monitoring, and verifiable data: Closed-loop control with ML: Supervised models predict flue-gas load and adjust amine flow/adsorption cycle timing (or membrane back-pressure) to stabilize capture efficiency.  Anomaly detection: Unsupervised models flag sensor drift, solvent degradation, leaks, or fouling.  Disaggregated emissions data: Time-series pipelines produce minute-level CO₂ flow and purity, tagged by plant, line, and time. That enables auditable MRV for carbon finance and precise “CO₂ infused per batch” records for RegenSoil™.  Predictive maintenance: Remaining-useful-life (RUL) models schedule service before efficiency drop.

Pyrolysis + CO₂ infusion: quality and carbon permanence

Set-point optimization: Bayesian optimization tunes reactor temperature, residence time, and feedstock blend to hit target bio-char carbon content, pH, and surface area.  Gas utilization: Off-gas CHP control minimizes emissions; purified captured CO₂ is metered into post-treatment so it chemisorbs/adsorbs within bio-char’s pore structure.  Batch certificates: Each lot of RegenSoil™ carries a digital passport (sensor- derived) with carbon content, basicity, and moisture—supporting both agronomy and credit issuance.

Soil Intelligence

Field-level diagnostics, including IoT probes, satellite indices (NDVI/NMDI/thermal), and historical yield data, inform an ML soil map (pH, moisture, and organic matter classes).  Variable-rate guidance: A prescription engine recommends RegenSoil™ dose (kg/acre) and lime/compost complements, based on acidity and texture, and pushes real-time instructions to a farmer’s phone (offline-first).  On-farm feedback loop: As farmers apply and irrigate, sensors update moisture and pH deltas; reinforcement-style policies adjust top-up doses within the season.  Outcome attribution: Mixed-effects models separate weather and management effects from the impact of RegenSoil™, building credible evidence on yield and soil health.

Smart Waste & Logistics

Feedstock forecasting: Time-series models predict organic waste inflow to hubs; routing optimizers cut collection cost and fuel.  Quality control: Simple computer vision flags contamination; moisture models decide pre-drying needs to hit reactor specs.

Components

System architecture

1. IoT sensing layer

* Industrial Capture Units.
* Waste hubs & pyrolysis.
*On-farm soil & micro-climate:

2. Edge Intelligence

E Low-power compute (ARM/MCU) at each site runs anomaly detection and control loops locally for millisecond-to-second responses, even with poor connectivity (LoRaWAN/LTE).

3. Cloud analytics+ digital twin simulation

A secure data lake streams time-stamped, disaggregated telemetry. A digital twin models capture units, pyrolysis reactors, and representative farm plots to simulate and optimize operations.

4. Advisory & APIs

Dashboards for plant operators; USSD/SMS/app for farmers; open APIs for partners and verifiers (MRV).

Why AI/ML is a game-changer.

Not just a buzzword! For us, AI + ML + IoT turn RegenSoil™ from a good product into a verifiable, optimizable system—capturing CO₂ precisely, producing consistent bio-char, guiding right- time/right-dose application, and proving outcomes for farmers and the climate.

Higher capture efficiency & uptime:

Fast control and predictive maintenance keep CO₂ capture steady and reduce downtime.

Precision soil restoration:

Variable-rate dosing reduces waste, maximizes pH correction, water retention, and microbial habitat—translating to more reliable yield gains on degraded land.

Consistent product quality:

Optimized pyrolysis yields stable carbon, appropriate alkalinity, and high cation-exchange capacity—key to neutralizing acidic soils.

Affordability & inclusion:

IoT-verified outcomes enable performance-linked pricing and micro-subscriptions; credible MRV lets carbon revenue subsidize smallholders.

3+

Years of Creating Sustainable impact.

How we make money

Revenue Model Overview

Our model addresses three major challenges — unmanaged waste, industrial emissions, and soil degradation — by providing an integrated solution that restores degraded farm land, empowers farmers, and builds climate resilience and adaptation.

Feedstock Loop: Waste hubs and farmers provide raw materials in exchange for discounted RegenSoil™. This creates a self-sustaining circular economy.
Subscription & Tiered Pricing: RegenSoil™ is delivered via affordable subscription models, with costs adjusted to soil degradation levels and farmer capacity.
Carbon Revenue Integration: Verified carbon sequestration generates carbon credits, with a portion of revenues used to subsidize RegenSoil™ costs for farmers living on <$2/day.
Community Empowerment: Women’s groups and cooperatives manage soil banks, ensuring equitable distribution and collective resilience.