AI-Powered Construction Estimating Software — Neural Blueprints Takeoff
Upload architectural and engineering blueprints (PDF, DWG) and extract exact physical quantities in minutes using neural vision. Our AI engine automatically classifies project divisions (RC, Architecture, Structural Steel) and binds items directly with official ESN RK 2026 unit rates.
Next-Generation Neural Estimating Capabilities
Manual ruler measurements and transcription errors are obsolete. SADI.KZ translates complex building information from raw blueprints into structured, audit-ready cost items automatically.
Automatic Drawing Recognition
Scans title blocks, stamps, floor plan symbols, and layer hierarchies across PDF and DWG files, identifying project disciplines (Reinforced Concrete, Architectural, Steel, MEP).
Physical Quantity Extraction (Takeoff)
Measures concrete volumes (m³), reinforcement steel tonnage (t), formwork contact area (m²), masonry partitions, and exterior facade finishes adhering strictly to scale.
Prompt-Driven Scoping (Prompt Synthesis)
Combine automatic blueprint classification with custom user prompts (e.g., "calculate only 1st floor columns and foundation footings") to focus AI attention on target work packages.
Instant ESN RK 2026 Binding
Extracted physical dimensions are matched with corresponding statutory unit rate codes (concrete pouring, rebar tying, structural assembly) within seconds.
Comprehensive Resource Calculator
Generates labor requirements (man-hours), heavy equipment operation times (machine-hours), and materials consumption (cement, aggregate, rebar) for each item.
Hierarchical Excel Export
Export structured estimates grouped by building sections, including embedded formulas and unit resource breakdowns, ready for management or client review.
How Our Neural Takeoff Engine Operates
Our proprietary pipeline combines high-resolution Computer Vision geometry extractors with advanced Large Language Model (LLM) reasoning trained on Kazakhstan construction standards.
The system deciphers wall axes, thickness annotations, grid marks, and structural callouts, applying accurate volume formulas and correlating outputs directly with ESN RK norm definitions.
Human-in-the-Loop Control:
AI outputs remain fully editable. Cost engineers can review and adjust any generated quantity, reassign unit rate codes, or tweak resource prices before finalizing the estimate.
4 Steps to an AI-Generated Estimate:
Upload Project Blueprints
Drag and drop vector or raster PDF/DWG drawings into the web workspace.
Specify Prompt Guidance (Optional)
Instruct the neural model on specific target structures (e.g., "focus on Level 2 monolithic slabs").
Automated Takeoff & Rate Binding
The AI calculates physical volumes and maps them to official ESN RK 2026 items.
Review & Export Excel File
Inspect quantities in an interactive grid and export audit-ready Excel workbooks.
Manual Blueprint Takeoff vs SADI.KZ Neural Takeoff
Observe how artificial intelligence transforms estimating velocity, precision, and contractor competitiveness.
| Parameter | SADI.KZ AI Takeoff Engine | Manual Blueprint Measurement |
|---|---|---|
| Takeoff Turnaround Time | 2–5 minutes Multi-page blueprint sheets parsed concurrently | 3–7 working days Scaling each room and slab with physical rulers |
| Calculation Accuracy | Minimal error Exact computer vision scaling without fatigue | Frequent errors Missed wall segments, forgotten thickness factors |
| ESN RK Unit Rate Binding | Automatic Instant semantic mapping to official norm databases | Manual Searching codes for each item individually |
| Focused Scope Filtering | Natural language prompt Filter by building level or structural type | Manual highlighter Redrawing and sorting blueprint layers by hand |
| Resource Breakdown Export | Complete Labor, machinery, and materials exported to Excel | Separate manual step Re-entering data into estimation software |
Case Study: Commercial Tower Monolithic Concrete Takeoff in Almaty
A leading general contractor was invited to submit a competitive tender bid for the reinforced concrete structural package of a 14-story commercial tower in Almaty, with only 48 hours remaining before bid closure.
Using SADI.KZ AI Takeoff, the team uploaded 48 architectural and structural PDF drawing sheets. Within 18 minutes, the engine extracted all concrete volumes, rebar schedules, and formwork areas, mapping them to ESN RK unit items. The company submitted an audit-backed commercial proposal on time and secured the 1.4 billion KZT contract.
18 Mins
48 Blueprint Sheets Processed1.4B ₸
Contract Awarded99.4%
Measurement PrecisionTest Your Blueprint with AI
Upload your PDF or DWG drawings to see how neural algorithms extract physical construction volumes.
Open AI TakeoffFrequently Asked Questions About AI Estimation
Answers to common inquiries about automated quantity takeoff and neural estimation algorithms.
