1. Onemap AI
Smart Mapping Solutions for Integrated Spatial Analysis Description: Onemap AI adalah platform pemetaan digital berbasis Kecerdasan Buatan (AI) designed to integrate various geospatial data into one comprehensive map. This product is capable of performing overlap analysis (overlay) automatically, spatial pattern detection, as well as predictions of urban planning and land use trends. With an intuitive interface, Onemap AI helps local governments and property developers in more accurate and efficient regional planning.
2. OpenGeomap AI
Collaborative Geospatial Platform with AI Automation Description: OpenGeomap AI adalah solusi open-source yang diperkaya dengan kemampuan AI untuk pemetaan partisipatif dan kolaboratif. This product allows users to contribute geographic data while AI algorithms automatically validate, clean, and classify the data. Very suitable for humanitarian projects, disaster management, and community mapping that requires fast field data, exactly, and always updated.
3. Li-ForEST (LiDAR for Forest & Environment Survey Technology)
LiDAR Technology for Forest Inventory and Conservation Description: Li-ForEST adalah produk khusus yang menggabungkan teknologi pemindaian LiDAR (Light Detection and Ranging) with AI algorithms for mapping forest ecosystems. This product is able to penetrate the forest canopy to map the topography under the forest, calculate biomass, estimate the volume of wood, and monitor vegetation health. Li-ForEST is becoming an important tool for forestry companies, conservation agency, and environmental researchers in managing forests sustainably and supporting carbon emission reduction programs.
4. Read-PresiSawit (LiDAR Precision for Palm Oil)
High Precision Solutions for Palm Oil Plantations Description: Li-PresiSawit adalah solusi Geo AI yang dirancang khusus untuk industri kelapa sawit. By utilizing LiDAR data and AI analytics, This product automatically counts the number of palm trees, identify mature versus immature trees, detect areas with poor plant health levels, as well as mapping the road network and water channels in the plantation. The result, plantation managers can optimize productivity, predict crop yields (yield prediction), and implementing sustainable palm oil cultivation practices with high precision.