akṣara

An AI agronomist to help with agriculture advisories for crops like paddy, wheat, maize, Sorghum, Barley, Cotton, Sugarcane, Soybean and Millets for the Indian subcontinent.

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Industry’s first purpose-built open-source micro foundational model to enable sustainable and climate smart agriculture. AI at your fingertips to protect yields, adapt to climate change, fight pests and diseases, save water and soil – even with limited data and resources.

The vision with akṣara is to create the world’s first AI powered digital agronomist, to answer precise and complex questions on regenerative agriculture and climate smart agriculture practices with simple prompts in a Q&A format. akṣara will empower human agriculture experts to help smallholder farmers at scale while helping them navigate the impact of climate change in regions like Africa, India, and South-East Asia.

Collaborative AI development for a more secure and resilient food system.

akṣara is specially designed to solve the problem of underserved farming communities in the Global South, removing barriers to knowledge and empowering anyone in the agriculture ecosystem to build and deploy frugal and scalable AI solutions for the sector. With the goal of democratizing access to digital technologies and modernizing agriculture for the 21st century, Cropin aims to empower agricultural stakeholders, developers, and researchers to tackle global challenges like food security, climate change, resource conservation - water and soil, amongst others by providing access to contextual, accurate and actionable data sets and information.

Frugal Innovation to solve at planet scale
Lightweight Micro Language Model to solve for agriculture use cases, enabling AI investments to deliver impact at scale and making access to AI possible every player in the ecosystem from academia to development agencies to governments to agri-enterprises to help farmers everywhere.
AI that safeguards against misinformation
Core model leverages RAGs and safeguards to avoid hallucinations or misinformation ensuring that timely but right information is available to the end user.
Responsible AI Leadership
Championing ethical and socially responsible AI practices in agriculture.
Investing in talent
Empowering a new generation of AI experts, including students and developers, to transform global agriculture.