Aryam Adaptive & Regenerative Solutions
Aryam develops data and AI-powered platforms that accelerate the implementation of climate adaptation and biodiversity regeneration measures in agriculture. The company combines systems thinking with local stakeholder knowledge to design regenerative solutions such as cover cropping, agroforestry, and landscape-level water infiltration structures. Their tools diagnose soil health, prioritize interventions, and measure social and environmental outcomes over time.
- Clean Technology
- Agriculture Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Agricultural systems are increasingly vulnerable to climate change, as evidenced by prolonged droughts followed by extreme rainfall events that cause flooding and crop destruction. Degraded soils—compacted, low in organic matter, and prone to surface crusting—lose their capacity to absorb and retain water, exacerbating both drought stress and flood damage. This undermines food security and livelihoods, particularly in regions like Morocco, the Sahel, and East Africa.
Solution
Aryam develops data and AI-powered platforms that accelerate the implementation of climate adaptation and biodiversity regeneration measures in agriculture. The company works with local stakeholders to design regenerative solutions that mimic natural systems, such as cover cropping, agroforestry, no-till farming, and landscape-level water infiltration structures. Their platforms combine systems thinking with local knowledge to ensure relevance and lasting adoption, while using AI tools to diagnose, prioritize, measure, and continuously improve social and environmental outcomes. By rebuilding soil health and water cycles, Aryam helps farms and communities become more resilient to both drought and flooding.
Target Audience
Primary customers are agricultural enterprises, farming cooperatives, and public or regional development agencies seeking to implement climate adaptation and biodiversity regeneration programs at scale.
Features
- Data-driven diagnostic tools that assess soil health, water infiltration capacity, and climate vulnerability at farm or landscape scale
- AI-powered analytics to prioritize interventions and measure the impact of regenerative practices over time
- Platform-based guidance on regenerative practices including cover crops, organic amendments, mulching, agroforestry, and reduced tillage
- Landscape design support for terracing, grass strips, hedges, infiltration ditches, and ponds to improve water management
- Systems-thinking approach that integrates local stakeholder knowledge with scientific data for lasting adoption