You Can't Hire This Team. But You Can Work With Them.

Elite AI engineers with deep concrete construction expertise are nearly impossible to find. We're that team.

We embed an elite engineering pod who build sophisticated preconstruction automation for reinforced concrete structures—combining proprietary AI, custom code, and deep domain knowledge to solve problems your team can't solve themselves.

The Team You Need Doesn't Exist in the Market

You need to automate concrete preconstruction. Maybe it's:

AI-powered concrete takeoffs from drawings
Revit LOD 400 model generation
Custom BIM workflows
Automated specification compliance
Historical cost prediction models
ERP/estimation system integration

To build this yourself, you'd need to hire:

AI/ML Engineers

$200K-$400K/year
  • Computer vision for construction drawings
  • NLP for specification extraction
  • Model training and optimization
  • Production ML infrastructure
+

Computational Designers / BIM Specialists

$120K-$200K/year
  • Revit API, Dynamo, Grasshopper expertise
  • Parametric design and automation
  • BIM coordination workflows
  • Construction detailing knowledge
+

Software Engineers

$150K-$250K/year
  • Backend systems and APIs
  • Integration with ERPs and estimation software
  • Database design and management
  • Production infrastructure and DevOps
+

Construction Domain Experts

$150K-$250K/year
  • Understand concrete: post-tension, seismic, rebar detailing
  • Read structural drawings, not just PDFs
  • Know building codes (IBC, ACI)
  • Understand estimating workflows and pain points
=

Nearly Impossible to Find (and Even Harder to Combine)

Here's the real problem:

Even if you find individuals with these skills (rare), they won't work effectively together without deep cross-domain knowledge:

The AI engineers have zero domain expertise in construction drawings. They'll spend 6-12 months learning what a "rebar schedule" even means before they can build anything useful.

The computational designers aren't experts at using cutting-edge AI to automate workflows. They know Dynamo scripts, but not how to integrate machine learning models into production systems.

The software engineers need a structured mid-size team to manage effectively. You can't just hire one or two—you need frontend, backend, DevOps, QA. Plus they have no construction knowledge.

The construction experts know what needs to be built, but can't build it themselves. They'll spend months explaining domain concepts to engineers who don't understand the industry.

What you actually need: A rare team that sits at the intersection of all these areas. Engineers who speak both "AI" and "concrete," who can write Dynamo scripts AND train AI models, who understand both your ERP's API AND why seismic reinforcement matters.

That team doesn't exist in the market. Except us.

We Are the Team You're Trying to Hire—Already Assembled, Trained, and Ready

Our elite engineering pod brings together a rare combination of expertise that doesn't exist in the traditional hiring market: AI/ML engineers who understand construction drawings, BIM specialists who can train machine learning models, and software architects who speak both "Revit API" and "reinforcement detailing."

We've been building construction automation systems and solving these problems for years. We're ready to start on day one.

AI & Machine Learning

  • Computer vision for construction drawings and document analysis
  • NLP for specification extraction and technical document processing
  • Production ML infrastructure and model training/optimization
  • LLM fine-tuning and prompt engineering for construction domain

BIM & Computational Design

  • Revit API, Dynamo, Grasshopper, Rhino 3D, Rhino.Inside.Revit
  • LOD 400 modeling and automated BIM generation
  • Parametric design and generative algorithms
  • Clash detection and model coordination automation

Software Engineering

  • Backend: Python, FastAPI, Node.js, TypeScript
  • Frontend: React, TypeScript, modern web frameworks
  • Cloud Infrastructure: Google Cloud Platform, AWS
  • Database: MongoDB, PostgreSQL, vector databases
  • DevOps: Docker, Kubernetes, CI/CD pipelines

Construction Domain

  • Reinforced concrete design and detailing (cast-in-place, post-tension, precast)
  • Rebar schedules, formwork requirements, concrete placement sequences
  • US building codes (IBC, ACI, seismic design standards)
  • Estimating workflows, cost databases, and construction operations
  • VDC/BIM coordination and preconstruction processes

Integration & Automation

  • ERP systems (Procore, Sage, CMiC, Foundation)
  • Estimation software (HCSS, Bluebeam, PlanSwift)
  • Document management (SharePoint, Box)
  • API development and system integration architecture
  • Workflow automation and process optimization

Why This Team is Different

Cross-Domain Expertise That Actually Exists

The team you need—AI engineers who read structural drawings, architects with ML degrees, construction technologists who write production code—doesn't exist in the hiring market. Except us. We're that rare combination, already working together, already proven in production.

We're not AI consultants learning construction on your dime. We're not construction experts struggling with ML infrastructure. We're both, deeply.

Proven in Production, Not Prototypes

We've deployed automation systems that real contractors use for real bids with real money on the line. We've iterated through hundreds of edge cases: missing dimensions, conflicting details, hand-marked corrections, inconsistent notation. We know which approaches work at 2 AM before bid deadlines.

Construction-First Mindset

We understand why seismic reinforcement spacing varies at column ends, how rebar conflicts with MEP penetrations, and the 3 AM panic before bid submission. We've worked inside innovative US construction companies and built AI and automation solutions specifically to solve their problems—not generic tools adapted to construction.

Get sophisticated automation in 3-12 months—not 18-24 months

At $75K-$360K vs. $1M+ spent recruiting and onboarding before seeing results.

Sophisticated Preconstruction Automation for Reinforced Concrete

We build custom automation solutions for your concrete preconstruction challenges:

AI-Powered Solutions

  • Concrete quantity takeoffs from PDF drawings
  • Rebar schedule extraction and validation
  • Formwork requirement calculations
  • Specification compliance checking
  • Drawing quality assurance (detect missing details)
  • Historical cost prediction models

BIM Automation

  • Revit LOD 400 model generation
  • Dynamo/Grasshopper workflow development
  • Revit plugin development
  • Automated rebar detailing in Revit
  • Concrete element family customization
  • Clash detection automation for concrete
  • Quantity extraction from BIM models

System Integration

  • ERP integration (Procore, Sage, CMiC, Foundation)
  • Estimation software connectors (HCSS, Bluebeam, PlanSwift)
  • Document management automation (SharePoint, Box)
  • Custom approval workflows and routing
  • Automated report generation
  • API development for existing systems

Custom Solutions

Whatever concrete preconstruction automation you need

If it involves concrete + AI + automation, we can build it

Our Approach: Embedded Engineering Teams

You don't buy software. You reserve an elite engineering pod.

Our engineers embed directly with your team:

  • Join your standups and estimation reviews
  • Shadow your estimators to understand actual workflow
  • Build solutions collaboratively, not in isolation
  • On-site or hybrid based on your preference

What we bring:

  • Proprietary Concrete AI Engine trained on thousands of concrete drawings
  • BIM LOD 400 Generator for automated Revit model creation
  • Proven automation library of reusable components
  • Elite cross-domain talent (the team you can't hire)

We build the solution. You own the results.

Why ConstructAI vs. Alternatives?

LIMITED OPPORTUNITY

Founding Partner Program: First 5 US Customers

We're building long-term strategic partnerships with customers who value specialized expertise over generic consulting. The Founding Partner Program locks in special rates and benefits before we reach standard market pricing.

What Founding Partners Get

Elite engineering team at $25K-30K/month (locked forever)

  • • Dedicated pod of 2-3 engineers
  • • Weekly sprints with continuous delivery
  • • Direct founder access (Pedro + Fernando personally)

Free company-wide SaaS platform seats (perpetual)

  • • Every employee can access our platform
  • • No per-seat fees, ever
  • • Standard pricing: $150/seat/month → You pay: $0

Perpetual API access rights

  • • Right to call our APIs forever
  • • Integrate with your systems
  • • No access fees or subscriptions

Complete source code

  • • Operational independence if ConstructAI fails
  • • Can maintain and extend yourself
  • • Can hire third parties to support

Product roadmap influence + co-marketing opportunities

  • • Quarterly input sessions to shape our direction
  • • Joint case studies and speaking engagements

What We Ask in Exchange

Partnership mindset (not transactional relationship)
Reference participation if results are strong
Feedback on US concrete market nuances
Patience with beta-stage process (though we're confident in our technology)

What Changes After First 5 Customers

STANDARD PRICING

  • • Monthly retainer: $35K-$40K/month
  • • SaaS fees: $150/seat/month
  • • API access: $4K-8K/month

FOUNDING PARTNER

  • • Monthly retainer: $25K-$30K/month
  • • SaaS fees: $0 (FREE)
  • • API access: $0 (FREE)

Current progress: 2 of 5 spots reserved

Founding Partners lock in $25K-$30K/month rates forever and keep free platform access for life.

Typical Engagement Investments

Scope Duration Investment
Simple automation (single workflow) 3 months $75K-$105K
Moderate integration (2-3 systems) 4-5 months $120K-$175K
Complex platform (multi-system) 6-9 months $180K-$315K
Strategic transformation 12 months $360K-$420K

What You Get as Founding Partner

During engagement:

  • Elite engineering team at $25-30K/month (locked forever)
  • Custom solution built to your exact needs
  • Weekly demos and continuous delivery
  • Direct founder involvement (not account managers)

After engagement (perpetual):

  • Free company-wide SaaS seats (your entire team can use platform)
  • Free API access (no subscription fees to access our AI)
  • Complete source code (all custom integrations)
  • Product roadmap influence (quarterly input sessions)
  • Co-marketing opportunities (case studies, conference speaking)

What Changes After Founding Partner Program

After first 5 customers, standard pricing:

Standard Engineering Retainer:

  • • $35,000-$40,000/month (vs $25-30K Founding Partner)
  • • Same team quality and service

Standard Platform Access:

  • • $150/seat/month SaaS subscription (vs free for Founding Partners)
  • • $4,000-$8,000/month API access fees (vs free for Founding Partners)

Founding Partners lock in:

  • Lower rates: $10-15K/month savings during engagement
  • Free platform access: $150K-$200K+ per year in perpetual savings (depending on team size and usage)

Example: 6-month engagement

Founding Partner total: $150K-$180K engagement

Standard customer total: $210K-$240K engagement

Founding Partner saves:
$60K upfront
+ $150K-$200K/year forever

Payment Structure

Monthly Retainer:

  • • Billed monthly in advance
  • • First month due at engagement kickoff
  • • Each subsequent month due on monthly anniversary
  • • Can pause or end engagement at any month (minimum 3 months)

Example payment schedule (6-month engagement at $30K/month):

• Month 1: $30K (engagement starts)

• Month 2: $30K

• Month 3: $30K

... continue through Month 6

Total: $180K over 6 months

5 Spots. Elite Team. Locked-In Rates. Forever.

Join the first 5 US general contractors building competitive advantage through custom concrete preconstruction automation. Work with the team you can't hire. Lock in Founding Partner rates that never increase.

Reserve your elite engineering pod:

  • $25,000-$30,000/month (locked forever)
  • Free company-wide SaaS platform seats (perpetual)
  • Complete source code for all custom integrations
  • Direct founder access (Pedro + Fernando personally)
Schedule a Call to Explore Fit

Get in Touch

For fastest response, include:

  • Company name and annual revenue
  • Concrete estimation volume (projects/year)
  • Current preconstruction challenges
  • What you want to automate
  • Timeline for engagement

Response time: Within 24 hours (usually same day)

You're talking to founders: Pedro and Fernando personally respond to all inquiries. No sales team, no account managers, no automated responses.

ConstructAI

Elite Engineering Pods for Concrete Preconstruction Technology

Austin, TX | Backed by Latitud, BVC, BuenTrip