DT Insight

DT Insight is a cloud-based remote-sensing and geospatial intelligence platform from Deeptronix Sdn Bhd (Shah Alam, Malaysia) for organisations that manage large areas of agricultural, plantation and forest land and want to rely less on manual field surveys. Users draw or upload an area of interest on an interactive map, browse available satellite imagery with preview thumbnails, acquisition dates and cloud-cover information, and buy high-resolution Planet Labs imagery with account credits; purchased scenes are delivered straight to the user's account and kept in cloud storage with automatic backup. The platform then runs machine-learning analysis for feature detection, classification and change detection, computes vegetation and water indices such as NDVI and NDWI with weekly updates and anomaly detection, and lets users build dashboards, generate reports and export results.

Applications the provider lists include crop-health monitoring, early detection of pests, disease and water stress, irrigation planning from soil-moisture analysis, yield prediction, deforestation and encroachment monitoring, forest biomass and carbon stock estimation, water body mapping, coastal change and natural-disaster impact assessment.

According to its MySTI listing, the platform is hosted on AWS, supports role-based multi-user access and automated reporting, includes integrated soil-profiling and crop-health modules, and can sync with other imagery providers such as Airbus as well as drones, IoT devices, government datasets and weather APIs. Its GenAI and LLM features simulate future scenarios and suggest actions, and the listing names crop stress, deforestation and flooding among the indicators it derives from raw imagery. It is aimed at enterprises and government agencies in agriculture, plantation and forestry managing 500 to over 100,000 hectares. DT Insight is certified by Malaysia's Ministry of Science, Technology and Innovation under MySTI (certification STI202501367); the MySTI listing gives an estimated price of RM 5,000.