AI for Good

Building Sustainable AI Solutions for Biodiversity Conservation

AI for Good Solutions Focused On

Gramener's focus on building ai for good solution for biodiversity conservation

Biodiversity

AI/ML solutions to help detect, identify, count, and protect endangered species. Enable conservation of flora and fauna.
Gramener's focus on building ai for good solutions using satellite imagery and land mapping

Land mapping

Detect and analyze land mapping using satellite imagery. Understand land-use patterns and enable the conservation.
Gramener's focus on building sustainable AI solutions for Humanitarian needs

Humanitarian needs

Analyze socio-economic trends and demographics. Adopt technology for humanitarian efforts and innovate AI solutions for social good.

Our AI for Good Solutions

Artificial Intelligence solution to identify animal species using image recognition

Species Classification

This sustainable AI solution built in partnership with Microsoft AI for Earth is a perfect example of how AI for Good initiative is conserving biodiversoty. Using iNaturalist images, this AI solution helps to identify over 5000 plant and animal species.
crowd counting solution to count penguins in antarctica

Counting of Antarctic Penguins

The penguin population in Antarctica is threatened. Computer vision technology helps count penguins in their habitat by using density-based CNN architectures. This AI solution is based on the crowd counting model.
AI for Good solution to identify elephant population using ariel imagery

Saving the African Elephants

Every 15 minutes, an Elephant is killed in Africa. This AI solution was built in collaboration with Microsoft AI for Earth and Save the Elephant Organization. It can identify elephant population in the wild by analyzing the aerial imagery data, which helps monitor and protect elephants.
deep learning model to automatically identify salmon species in nisqually river

Monitoring Salmon in Rivers

Several species of Salmon are fast disappearing around the world. This AI for Good solution was built in collaboration with Microsoft AI for Earth and Nisqually River Foundation. The model helps identify and monitor Salmon from underwater videos with over 72% accuracy.
AI model to predict crop yield

Predicting Crop Yield with AI

Our deep learning solution can predict crop yield with high spatial resolution several months before harvest, using openly available satellite image source. It can help making informed planting decisions, identifying low-yield regions and more

AI for Sustainable Development

Artificial Intelligence is empowering consumers and enterprises today. The revolutionary advances in AI can help build a more sustainable and accessible world.

At Gramener, we take pride in our work on ‘AI for Good.’ We work with integrate Data Storytelling with state-of-the-art technology in areas such as Computer Vision, Geo Satellite Analytics, Natural Language Processing.

We apply these techniques to put AI in environment protection and speak actionable and memorable data stories. Our sustainable AI solutions solve problems in environmental conservation, protect biodiversity and tackle humanitarian challenges.
Gramener building suatainable AI for good solutions to tackle biodiversity problems with data.

Our Efforts in AI for Good

Our Sustainable AI Solutions Featured in Media

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