Our Goal
Develop a construction software that will start as a smart document control tool and scale to include automated estimation and project scheduling capabilities.
Our strategy explained
One
Develop a document control application/dashboard that integrates our text detection and recognition model with high accuracy.
Duex
Develop a Neural Network capable of detecting and classifying all vector elements present in construction plans, including slab edges, step downs, folds, and other relevant features.
Trios
Extend the model to transfer slab, where construction plans tend to be more complex and contain intricate details, and enable it to perform measurements of the identified elements.
Quatre
Identify and measure the elements present in architectural plans, and leverage the resulting data to develop an estimation tool initially for formwork, concrete, flooring, tiling, and painting.
Progress
Our custom neural networks in action
Aurora automatically detects region of interest on a construction plan and detects slab edge on a structural plan for a high rise building.
Orion is a custom algorithm to detect and recognise text from a construction plan from a PDF vector or image.
Ravin Rajakumaran, CEO
Organisation Structure
Nikita Maingi, CHRO
Gulshan Gupta, CFO
Sid Maingi, Director
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