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Project Documentation Analysis Automation

Industry : Construction
Real estate developers (residential and commercial construction in Moscow and key Russian regions)
Task
Reducing estimate preparation timelines through automatic recognition of project data. Teams manually reviewed hundreds of blueprint pages and specifications, requiring weeks to calculate material volumes and labor hours.
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Insight AI

AI implementation process

Data collection
Systematized project archives, blueprints, and estimates
OCR & Computer Vision
Recognition of graphics and text on drawings
Algorithm training
Classification and counting system calibration
Integration & testing
ERP system connection with accuracy verification

Client results during the AI implementation process

Revenue growth with AI
Revenue growth without AI
according to McKinsey & Company
70-80% reduction in estimate preparation time
90% reduction in calculation errors
Unified documentation processing standards

More about the solution

Typically, preparing an estimate for a large project means weeks of painstaking work. A cost estimator manually reviews hundreds of pages of blueprints and specifications to calculate everything: from the number of piles in the foundation to the hours of work for an excavator or installer. We developed a system that automates this process by extracting data from design documentation of any complexity. The AI can “read” blueprints and recognize objects within them, instantly calculating the required volumes of materials and labor.

The most convenient part of the solution is its full integration with the engineer’s everyday tools. The system automatically finds the necessary items in material catalogs, generates a complete estimate, and transfers it directly to “Grand‑Estimate” or 1C. This not only frees specialists from routine work but also protects the company from errors that are inevitable when manually transferring thousands of figures from documents. As a result, calculations that used to take months are now completed in a matter of hours, allowing the developer to launch new projects much faster.

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