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 Social Good.’ We work with state-of-the-art techniques in areas such as computer vision, geo satellite analytics, natural language processing and data storytelling.
We apply these techniques to solve problems in environmental conservation, to protect biodiversity and to tackle humanitarian challenges.
AI/ML solutions to help detect, identify, count, and protect endangered species. Enable conservation of flora and fauna.
Detect and analyze land mapping using satellite imagery. Understand land-use patterns and enable the conservation.
Identify patterns from pictures and videos. Detect and recognize entities. Count crowds and drive actions.
Process high-resolution satellite imagery. Enrich geospatial analysis with structured data for deeper insights.
Several species of Salmon are fast disappearing around the world. This Artificial Inteligence model helps identify and monitor Salmon from underwater videos.
This application leverages Deep Learning to process images captured from satellite, enriched with census data, and offers insights about rise in urbanization and poverty, and anomalies in census-measured factors like literacy, employment, and healthcare.
The penguin population in Antarctica is threatened. Computer vision technology helps count penguins in their habitat by using density-based CNN architectures.
Every 15 minutes, an Elephant is killed in Africa. This Artificial Intelligence model can help monitor and protect elephants by identifying them from aerial imagery.
Camera traps help monitor animal movement in forests. This AI solution helps detect animals from the millions of snapshots captured throughout the year.