
Technology
Vertically integrated from biomass sourcing to product delivery. Every layer of the stack is built to deliver consistent, traceable, high-spec bio-coal and biochar at industrial scale.
From biomass to buyer
Geo-spatial biomass intelligence
AI-driven geospatial intelligence for real-time biomass monitoring. Advanced remote sensing fused with on-ground intelligence to identify, quantify, and quality-tag biomass sources before procurement.
- Multi-modal sensing. Fuses optical, SAR, LiDAR, and temporal satellite data
- Quality tagging. Each source classified and graded before procurement
- Ground-truthed. Satellite outputs calibrated against on-ground data
Feedstocks mapped
States covered
Hectares analyzed
Hotspots identified

NDVI biomass density map. Green indicates high biomass availability
Proprietary pyrolysis technology
Indian pyrolysis plants are plagued by tar-choking, drastically reducing uptime, output consistency, and product quality. Climitra has solved this at the process level.
The industry problem
- Tar-choking reduces system uptime to 40-60%
- Output quality varies by 20%+ day-to-day
- Frequent shutdowns for manual tar removal
- Inconsistent specs make it unusable for steel
Climitra's approach
- Tighter control on temperature, residence time, air flow
- Proprietary tar management eliminates choking
- Optimized output parameters for consistent specs
- Continuous operation without manual intervention
Higher uptime vs. competitors
Day-to-day quality variation
Specs met consistently
Emissions reduction
Fixed Carbon
H/C Ratio
GCV (kcal/kg)
kg CO₂/ton (vs. 2,500 fossil)
5 Integrated Modules







dMRV: digital Measurement, Reporting, Verification
Source-to-sink traceability and data immutability. Built for the realities of rural India: offline-first, operator-simple, enterprise-grade.
Every batch traceable from biomass source through conversion to the buyer's receiving dock.
No deletions, ever. All changes saved with edit logs, creating a tamper-proof audit trail.
Full data capture without internet at remote rural sites. Syncs when connectivity returns.
Auto-generated batch IDs from real-time production data: temperature, time, weight.
Clean operator UI. Validation rules, audit trails, and reporting logic under the hood.
Structured for carbon registries, steel buyers, and regulatory auditors.
Supply chain intelligence
Dynamic forecasting, route optimization, and ecosystem integration that enables consistent year-round biomass supply, the hardest problem in distributed bio-energy.
Dynamic supply forecasting
Predictive models combining seasonal availability, crop cycles, weather patterns, and pricing signals to forecast supply months in advance.
Route optimization
Optimized collection and delivery routes that minimize transport costs and emissions while maximizing throughput from distributed rural sources.
Ecosystem integration
Unified view across data, logistics, and supply chain partners. A single operational layer from source to buyer.