2 years ago

Quantas Labs Secures $550K Seed Funding to Expand AI Erosion Solutions

  • Quantas Labs, a London-based commercial AI erosion impact prediction company, has raised $550K in Seed funding led by Faisal Al-Rajhi and other undisclosed investors

  • The company intends to use the funds to expand adoption of its erosion solutions for sustainable land management

  • Quantas Labs' technology leverages a hybrid AI framework that combines multi-layered convolutional neural network (CNN) architecture with recurrent neural network (RNN) components, allowing it to process intricate geospatial datasets and temporal data sequences for accurate and dynamic erosion predictions

  • The company's approach includes real-time data integration, advanced soil type classification, and robust data handling.

      • ProblemTechnology

      "Predicting soil erosion accurately and quickly is crucial for sustainable land management. Existing methods are often inaccurate, time-consuming, and not scalable."

      Solution

      "Quantas Labs uses a hybrid AI framework to process complex geospatial and temporal data, enabling real-time, accurate, and dynamic erosion predictions. This helps governments, environmentalists, and industries make informed decisions about land use and conservation."

      Covered on