Specialized Solution

Custom AI for Your Floor Plans

We train custom computer vision models and build custom business intelligence logic tailored around your drawings, your legend, and your software.

Key Extraction Targets

Proprietary Symbols
Company Legend Icons
Unique Drawing Layouts
Custom Annotations
Specialized Classifications
Internal Business Rules

The Problem

Off-the-shelf AI fails when applied to proprietary drawing standards.

Every architectural firm and construction company has unique drawing legends, custom symbols, and specific business rules. Generic AI cannot adapt to your proprietary standards.

System Workflow

How the AI System Works

01

Discovery & Dataset Curation

We annotate a representative sample of your plan sets to establish high-quality training ground truth.

02

Custom Vision Model Training

Fine-tune neural networks specifically on your drawing symbols, line weights, and legend standards.

03

Business Logic & Integration

Engineer custom business logic, output schemas, and private cloud deployment.

Capabilities

Engineered Features

Proprietary Symbol Dataset Annotation
Fine-Tuned Object Detection Models
Custom Classification Rules
Company-Specific Calculation Logic
Private Cloud / VPC Deployment
Continuous Model Improvement Loop

Architecture

Technical Stack

PyTorch / Ultralytics FrameworkREADY
Roboflow / CVAT Dataset PipelineREADY
NVIDIA TensorRT AccelerationREADY
Docker / Kubernetes DeploymentREADY
MLflow Model Version ControlREADY

Relevant Case Study

SaaS Intelligence Integration Case Study

Built a custom floor plan AI model layer for an enterprise construction software client.

Read Case Study

Frequently Asked Questions

Typically 50-200 annotated drawings are sufficient to fine-tune high-accuracy models for custom symbols.

Tell us what you want AI to do with your drawings

Fill out the details below and an AI engineer will evaluate your requirements.

Upload Sample Plan (Optional)

PDF, DWG, PNG, or ZIP up to 50MB

Strict confidentiality. Your sample drawings and project details are never shared or used to train public models.