Soil-Carbon Accounting: An Interview with Dr. Tavseef Mairaj Shah of CinSOIL

Interview with Dr. Tavseef Mairaj Shah from CinSOIL: Data-Driven Soil Carbon for a Net-Zero Future

In our recent interview, we spoke with Dr. Tavseef Mairaj Shah, Chief Operating Officer at CinSOIL, a company dedicated to decarbonizing the agri-food value chain through AI and satellite-powered soil-carbon measurement (MRV).

The company’s model is simple but powerful. Its platform translates multispectral satellite imagery into credible soil organic carbon (SOC) estimates, reducing reliance on costly, slow manual sampling and helping brands, processors, and cooperatives track real sequestration across their supply chains.

From Manual Sampling to Scalable MRV: CinSOIL’s Vision for Agri-Food Decarbonization

CinSOIL is focused on decarbonizing the global agri-food value chain. “CinSOIL is working in the area of agri-food supply chain and value chain decarbonization,” says Dr. Tavseef. The platform uses artificial intelligence and satellite imagery to monitor and measure soil carbon stocks, aiming to make it easier for companies and farmer cooperatives to keep track of soil carbon sequestration removing barriers created by inconsistent data and complex, manual processes.

Mapping Soil Carbon From Space

CinSOIL harnesses multispectral satellite imagery to quantify SOC at scale. “We are using the multispectral imagery from the satellite data to translate that into soil carbon numbers,” explains Dr. Tavseef. The system applies AI for image recognition and spectral analysis, then uses data modeling to convert spectral signals into SOC estimates which capture patterns linked to soil organic carbon, land cover, and soil health across diverse farming systems.

Pilot-Led Onboarding: Calibrated to Local Conditions

Every engagement starts with a localized pilot to tune the models. “We usually start with a pilot project whereby we calibrate our model with the local conditions and make the necessary adjustments in terms of soil conditions, soil type, or the climatic conditions in the region.” CinSOIL also offers discovery packages to align scope, data needs, and expectations. This involves iterating on client feedback so the model reflects field reality, not abstract scenarios.

Who They Serve

CinSOIL prioritizes agri-food companies over individual farmers to avoid shifting costs onto producers. Existing commercial relationships between companies and growers provide the most efficient path to scale, integrating SOC insights into established value chains.

Farmer-Backed Practices That Lift SOC

While regional pathways vary, Dr. Tavseef highlights biochar and broader carbon-farming approaches as especially promising. He also points to pragmatic practices like cover crops and intercrops as accessible ways to increase soil carbon content.

Scaling Insetting: Opportunities and Obstacles

The opportunity includes robust, data-driven models that track and enhance SOC, underpinning credible insetting and supply-chain claims. However, the challenge also exists, which is dependence on high-quality, region-specific data accuracy, consistency, and availability, plus the need to account for local soil, climate, and natural variability. “Soil is different across even within a region,” Dr. Tavseef notes, underscoring why local calibration is essential.

Outlook

CinSOIL plans with these constraints in mind. “Data integrity and data availability are main challenges that we have factored in for the next few years.” The team is prepared to tackle them through careful strategy and adaptive model development turning data limitations into drivers of innovation and measurable progress.