ConstructAI

ConstructAI automates one of construction's biggest bottlenecks: turning 2D structural drawings into fabrication-ready BIM models. We upload your PDF drawings, and our agentic AI reads, classifies, and rebuilds every wall, beam, and rebar detail into a native Revit model at LOD 350—material takeoffs included free. What normally takes 3–6 weeks of manual detailing gets compressed into 1–2 days, cutting modeling time by up to 77%. We're already working with structural teams at Fortune 500 builders and global GCs.

Company Overview

ConstructAI is an Austin, Texas-based construction technology startup transforming how enterprise general contractors and construction firms manage Building Information Modeling (BIM) workflows. We automate BIM modeling with agentic AI, converting 2D PDF structural drawings into LOD 350 native Revit models with complete rebar detailing - eliminating the manual work that consumes days of preconstruction and VDC team bandwidth.

Founded by a 4x entrepreneur CEO and an architect with Applied AI expertise, ConstructAI addresses a $5-7B market pain point: the labor-intensive conversion of architectural and structural documents into construction-ready BIM models. Our platform uses advanced machine learning and agentic AI workflows to process structural PDFs end-to-end, outputting native Revit files that are immediately usable by design coordination, fabrication, and construction teams.

The Problem We Solve

Enterprise general contractors and construction firms face a critical bottleneck in their preconstruction workflow. When a project begins, structural and architectural drawings arrive as 2D PDFs - the same format they've been delivered in for decades. Converting these PDFs into actionable 3D BIM models remains a largely manual process, requiring skilled BIM modelers to:

• Manually trace or interpret 2D drawings in Revit
• Input structural specifications, rebar detailing, and material properties
• Validate model accuracy against source documents
• Iterate through revisions as drawings change

For large contractors managing hundreds of projects annually, this process consumes thousands of hours and delays the start of critical path activities like fabrication planning, cost estimation, and logistics coordination. A typical structural drawing package can require 40-80+ hours of manual BIM modeling labor - a cost that compounds across a contractor's portfolio.

ConstructAI eliminates this bottleneck. Our agentic AI system ingests structural PDFs and outputs LOD 350 Revit models with full rebar detailing in hours instead of days, reducing modeling labor by 50-70% while maintaining the precision required for fabrication and construction.

Our Solution: LOD 350 Revit Automation

ConstructAI's core product converts 2D structural drawings into native Revit models at LOD 350 - the industry standard for fabrication-ready models. Our output includes:

• Complete structural geometry captured from 2D PDFs with high fidelity
• Full rebar detailing including bar schedules, reinforcement patterns, and specifications
• Material properties and structural parameters embedded in the model
• Native Revit format (2025/2026 compatibility) enabling immediate integration into VDC workflows
• Construction-ready output reducing time to fabrication planning and shop drawings

Quantifiable Benefits by Use Case

For Preconstruction and VDC Teams

Time recapture at scale. A 200-sheet structural drawing package traditionally requires 80+ hours of manual BIM modeling. ConstructAI processes the same package in a few hours, with full LOD 350 fidelity and rebar detailing. For a contractor managing 100+ projects annually, this translates to 4,000-8,000 hours recovered - the equivalent of 2-4 dedicated full-time BIM modelers.

Direct cost reduction. At fully-loaded BIM modeler rates ($65-85/hour), labor savings range from $2,600-$6,800 per project. A contractor with 200 annual projects recovers $520K-$1.36M in direct labor costs annually.

Downstream schedule impact. Construction planning begins 2-3 weeks sooner, cost estimates are finalised faster, long-lead procurement windows open earlier, and field crews receive logistics plans and staging schedules weeks in advance. For time-sensitive projects such as retail openings and facility expansions with hard deadlines, this acceleration can mean the difference between schedule compliance and costly delays.

For Fabricators and Shop Crews

LOD 350 output includes complete rebar schedules, bar bending diagrams, and material specifications - eliminating the need for fabricators to re-interpret structural drawings or request clarification from the design team. Fabricators receive machine-readable Revit models that integrate directly into fabrication management systems (FMS), reducing lead times by 5-10% and cutting manual data entry errors by 60%.

For Cost Estimators and Bid Teams

Faster, more accurate structural models enable cost estimators to build comprehensive, detailed estimates 20-30% faster. Rather than waiting for manual BIM models or relying on incomplete drawings, estimators work from LOD 350 models with embedded material properties, enabling material quantity take-offs (QTO) to be automated and precise. This reduces bid cycle time and improves estimate accuracy, leading to tighter bid windows and fewer bid disputes post-award.

For Enterprise Portfolio Management

Large GCs managing 500+ projects annually face a portfolio-wide problem: inconsistent BIM quality, delayed preconstruction workflows, and variable project-start timelines. ConstructAI standardises the preconstruction process across the portfolio, with all projects receiving consistent-quality LOD 350 models within 24-48 hours of drawing receipt. This standardisation also enables portfolio-level data analytics: modeling time per sheet type, cost per project, and resource allocation patterns become visible and optimisable.

Technology: Agentic AI for Construction

ConstructAI's proprietary agentic AI system combines:

• Advanced vision and document understanding to interpret complex 2D structural drawings
• Construction domain knowledge trained on thousands of labeled PDF-to-Revit datasets
• Iterative refinement workflows that validate output against source documents and apply quality checks
• Native Revit API integration ensuring output compatibility and parameterisation

The company's data moat - a continuously expanding library of proprietary, labeled construction drawings - enables rapid adaptation to new drawing standards, structural types, and contractor workflows. The more projects processed, the more capable the models become.

Team and Expertise

Pedro - CEO and Co-Founder

A 4x founder with a proven track record in construction technology and real estate innovation. His prior exit, AdondeVivir (acquired by QuintoAndar, Latin America's largest proptech unicorn), established his expertise in scaling technology within the construction and real estate sectors. He holds an MBA from IESE Business School and has participated in accelerator programmes including Blackbox Connect, Startup Grind and Latitud Fellowship, bringing enterprise sales experience with Fortune 500 contractors and global real estate firms.

Fernando - CTO and Co-Founder

A licensed architect with a Master's degree in Applied AI (summa cum laude), providing rare dual expertise in construction domain knowledge and machine learning. He created ConstructAI's viral LinkedIn demonstration showcasing live PDF-to-Revit conversion (55K+ impressions, 25K+ views). His architectural background enables deep understanding of drawing standards, structural specifications and construction workflows - critical context for training effective AI models. Fernando leads the technical vision, the proprietary agentic AI system, the data pipeline and the Revit integration layer.

William - VP Engineering

A YC W22 alum founder and CTO bringing startup infrastructure and scalability expertise. William leads technical architecture, engineering operations and product development, ensuring the platform can handle the volume and complexity of enterprise contractor workloads.

Vision

ConstructAI's long-term vision is to eliminate manual BIM modeling as a bottleneck in construction preconstruction workflows. By automating the repetitive, labor-intensive work of converting drawings into models, the company frees construction teams to focus on planning, problem-solving and building.

Over the next five years, ConstructAI will expand beyond structural concrete to cover architectural interiors, MEP systems and other structural types - broadening its addressable market and deepening its moat with construction-specific AI expertise.

ConstructAI: bringing certainty earlier to the construction industry.