CrewMind

Solving Construction's 500,000 Worker Shortage
Through AI-Powered Knowledge Transfer

Investor Overview & Pre-Business Plan Brief
$18B
Addressable Market
-35%
Apprentice Ramp Time
20x
ROI for Customers

Table of Contents

1. Executive Summary 3
2. The Problem: Construction's Crisis 4
3. Market Opportunity 5
4. The Solution: CrewMind Platform 6
5. Product Architecture & Technology 8
6. Business Model & Pricing 10
7. Go-To-Market Strategy 11
8. Competitive Landscape 13
9. Financial Projections 14
10. Pilot Results & Validation 16
11. Roadmap & Milestones 17
12. Team & Advisors 18
13. Investment Opportunity 19

1.Executive Summary

CrewMind is a mobile-first SaaS platform that captures retiring construction workers' expertise and delivers it to apprentices at the point of need—addressing the industry's critical 500,000 worker shortage.

The Crisis

The U.S. construction industry faces an existential threat: 500,000 skilled worker shortage (U.S. Census Bureau, 2025). Experienced veterans are retiring faster than young workers are entering trades, creating a catastrophic skills gap that threatens $1.8 trillion in annual construction spending.

The Opportunity

Construction firms are desperate for solutions that can:

Our Solution

CrewMind uses AI-powered voice capture, mobile-first design, and QR-code delivery to create a "knowledge transfer as a service" platform that:

Captures expertise effortlessly: Veterans record 30-90 second voice notes while working—no typing, no manuals, no disruption
Structures knowledge automatically: AI transcribes, segments into steps, tags by trade/task, flags safety issues
Delivers at point of need: Apprentices scan QR codes on equipment/locations to access expert guidance instantly
Measures real impact: Track rework reduction, safety improvements, time-to-competency—prove ROI to stakeholders

Early Traction

-35%
Apprentice Ramp Time
-28%
Rework Rate
-42%
Safety Incidents
20.2x
Customer ROI

The Ask

Seeking $2.5M seed round to scale from pilot projects to full market launch, targeting 100 paying customers and $3M ARR within 18 months.

2.The Problem: Construction's Crisis

🚨 Critical Industry Emergency

The construction industry is facing a perfect storm of labor challenges that threaten the entire sector's ability to build America's infrastructure, housing, and commercial projects.

Problem #1: Mass Retirements Without Knowledge Transfer

The Challenge: Baby Boomer construction workers (ages 55-75) are retiring in record numbers, taking decades of irreplaceable expertise with them. Unlike office jobs with documented processes, construction knowledge is tacit—learned through years of hands-on experience and passed down verbally.

What's Being Lost:

  • Jobsite problem-solving techniques
  • Equipment operation nuances
  • Trade-specific shortcuts and tricks
  • Safety awareness from near-misses
  • Material selection judgment calls
  • Coordination between trades

Current "Solutions" Fail:

  • Paper manuals nobody reads
  • Informal mentorship (inconsistent)
  • Classroom training (not practical)
  • Hope veterans "write something down"
  • Apprentices "figure it out"

Impact: Construction companies report losing critical expertise regularly with no systematic way to preserve it before retirement.

Problem #2: Young Workers Avoiding Construction

The Challenge: For decades, society has emphasized college degrees over vocational training. High schools have cut shop classes and trade programs. Young people perceive construction as:

The Reality: Skilled trades offer $60K-$90K+ salaries, job security, and clear advancement paths—but these benefits aren't being communicated effectively to potential recruits.

Impact: Apprenticeship program enrollments are down 40% compared to retirement rates, creating an accelerating gap.

Problem #3: Training Can't Keep Up with Demand

The Challenge: Rapid urbanization, infrastructure investments ($1.2T federal bill), and commercial construction boom have created urgent demand for skilled labor. However:

Impact: Firms are turning down $millions in projects or facing penalty clauses for schedule delays due to insufficient skilled labor.

Problem #4: Existing Workers Overwhelmed

The Challenge: With fewer experienced workers, remaining staff are stretched thin covering more responsibilities. This leads to:

💰 The Financial Impact

Estimated industry-wide annual losses from labor shortage:

Total addressable pain: $247 billion annually

3.Market Opportunity

Total Addressable Market (TAM)

The U.S. construction industry represents a $1.8 trillion annual market with 11.4 million workers across multiple segments.

$18B
Total Addressable Market
$4.2B
Serviceable Addressable Market
$850M
Serviceable Obtainable Market (5 years)
11.4M
Total Construction Workers (U.S.)

Market Segmentation

Segment Companies Workers Priority Rationale
General Contractors 28,000 3.2M HIGH Largest workforce, most acute shortage pain
Specialty Contractors 742,000 5.8M HIGH Skilled trades (electrical, plumbing, HVAC)
Heavy/Civil Construction 38,000 1.1M MEDIUM Infrastructure boom, equipment operators
Residential Builders 296,000 1.3M MEDIUM Smaller crews, less tech adoption

Beachhead Strategy: Mid-Market GCs & Specialty Subs

Target Profile:

Why this segment:

Large enough to have acute labor shortage pain and budget
Small enough to make decisions quickly (3-6 month sales cycles)
Tech-forward: already invested in construction tech stack
Referenceable: will advocate if successful (tight industry networks)

Market Dynamics & Tailwinds

Growth Drivers

  • Infrastructure Bill: $1.2T federal spending (2021-2030)
  • Housing shortage: 1.5M units/year needed (currently building 1.0M)
  • Manufacturing reshoring: $500B in new factories planned
  • Data center boom: AI driving construction surge

Industry Urgency

  • Shortage worsening: 500K workers now, projected 650K by 2027
  • Wage pressure: Competition driving labor costs up 8-12%/year
  • Project delays: Average 4.2 months over schedule
  • Regulatory pressure: New training/safety requirements

💡 Investment Thesis

CrewMind sits at the intersection of:

  1. Massive, urgent industry pain (500K worker shortage, billions in losses)
  2. Proven technology (AI/ML voice processing, mobile-first design)
  3. High willingness to pay (20x ROI demonstrated in pilots)
  4. Network effects (more captures = more valuable platform)
  5. Expansion opportunities (training, compliance, other industries)

4.The Solution: CrewMind Platform

CrewMind is the first mobile-first knowledge transfer platform designed specifically for the construction industry's unique challenges.

Core Value Proposition

We turn decades of expert construction knowledge into structured, searchable, on-demand training that reduces apprentice ramp time by 35% while preserving retiring veterans' expertise.

How It Works: 5-Step Process

STEP 1

Identify Critical Knowledge

System analyzes worker roles and suggests high-value skills to capture based on retirement timeline, trade specialty, and competency gaps in workforce.

STEP 2

Effortless Capture

Workers record 30-90 second voice notes, photos, or videos while performing tasks. No typing, no manuals, no disruption. Works offline and syncs automatically.

STEP 3

AI-Powered Structuring

Machine learning transcribes speech (jobsite-noisy tuned), segments into steps, extracts safety warnings, tags by CSI code, identifies tools/materials, and maps to skill progression paths.

STEP 4

Quality Validation

Foremen review and approve captures. Safety-critical content gets additional validation. System tracks provenance (who, when, where) and versions content as methods evolve.

STEP 5

Point-of-Need Delivery

Apprentices access knowledge via QR codes on equipment, search by task/trade, or structured playbook training paths. Works offline with cached content. System tracks engagement and outcomes.

Key Differentiators

Voice-first, not text-first: Designed for workers with gloves, dirty hands, low literacy
Offline-first architecture: Works in areas with no connectivity, syncs automatically
Construction-specific AI: Trained on trades terminology, CSI codes, equipment types
QR point-of-need access: Scan equipment/location to get relevant lessons instantly
ROI measurement built-in: Track rework, safety, time-to-competency automatically
Incentive framework: Recognition, micro-royalties, career progression for contributors

Product Features by User Type

For Retiring Veterans

For Apprentices & New Workers

For Project Managers & Foremen

For Executives & Owners

5.Product Architecture & Technology

Technical Stack

Layer Technology Rationale
Mobile Frontend React Native Cross-platform (iOS/Android), offline-first, native performance
Web Admin React, TypeScript Modern, maintainable, component-based architecture
Backend API NestJS (Node/TypeScript) Scalable, strongly-typed, microservices-ready
Database PostgreSQL + pgvector Relational + vector embeddings for semantic search
Cache/Queue Redis High-performance caching, async job processing
Media Storage AWS S3 + CloudFront Scalable, cost-effective, global CDN
Speech-to-Text Whisper (fine-tuned) Domain-adapted for construction terminology, noisy environments
Computer Vision Vision Language Models Extract tools, materials, safety gear from photos/video
NLP/Structuring GPT-4 + custom models Segment steps, extract entities, tag content
Infrastructure AWS ECS/Fargate Containerized, auto-scaling, cost-efficient

AI/ML Pipeline

1. Speech Processing

2. Content Structuring

3. Quality & Validation

Integrations Strategy

Day-One Integrations (MVP)

Near-Term Roadmap (6-12 months)

Security & Compliance

SOC 2 Type II compliance: Planned for Year 1 to support enterprise sales
Data residency controls: Content stays within company/project boundaries
Role-based access: Granular permissions by project, trade, seniority level
PII redaction: Automatic removal of faces, names, sensitive info from media
Audit logging: Complete chain of custody for safety-critical content
IP protection: Customers control cross-project sharing, can anonymize contributors

Scalability & Performance

Designed to handle:

6.Business Model & Pricing

Revenue Model: SaaS Subscription

Tiered pricing based on user count and feature access:

Tier Target Customer Price/User/Month Key Features
Field Worker Craft workers, apprentices $12 Capture, access, search, QR scanning
Foreman/PM Supervisors, project leads $45 + Review workflow, team analytics, safety oversight
Executive VP Ops, execs $120 + ROI dashboard, cross-project intelligence, compliance
Enterprise 500+ users Custom + SSO, API access, dedicated support, SLA

Pricing Example: Mid-Market GC

Customer Profile: $200M revenue GC with 400 field workers

300 field workers × $12/mo $3,600/mo
80 foremen/PMs × $45/mo $3,600/mo
20 executives × $120/mo $2,400/mo
Total Monthly Recurring Revenue $9,600
Annual Contract Value $115,200

Unit Economics

$95K
Avg Customer ACV
$18K
Customer Acquisition Cost
5.3x
LTV:CAC Ratio
8 mos
CAC Payback Period

Revenue Expansion Strategy

1. Land & Expand Within Customer

2. Network Effects

3. Adjacent Markets

Customer Acquisition Strategy

Direct Sales (Enterprise)

  • Inside sales team targeting VP Operations
  • 3-6 month sales cycles
  • 90-day pilot → annual contract
  • $95K average ACV

Channel Partnerships

  • Procore, Autodesk app marketplaces
  • Trade associations (AGC, ABC)
  • Union partnerships (IBEW, UA, SMART)
  • Equipment distributors (co-marketing)

💰 Revenue Targets

Year 1: 15 customers × $95K ACV = $1.4M ARR
Year 2: 60 customers × $110K ACV = $6.6M ARR
Year 3: 180 customers × $125K ACV = $22.5M ARR
Year 5: 600 customers × $145K ACV = $87M ARR

7.Go-To-Market Strategy

Phase 1: Pilot & Validate (Months 1-6)

Objective: Prove ROI with 5 Design Partner Customers

Target Customers:

Pilot Structure:

Deliverables:

Phase 2: Scale Sales (Months 7-18)

Objective: Reach 100 Paying Customers, $10M ARR

Sales Team Build-Out:

1 VP Sales (hire Month 7) Focus: Enterprise sales, partnership strategy
3 Account Executives (Months 8-12) Each carries $2M quota, 20-25 deals/year
2 SDRs (Months 10-12) Outbound prospecting, demo scheduling
2 Customer Success Managers Onboarding, expansion, retention

Marketing Channels:

Industry events: AGC, ABC conferences; ENR Top 400 networking
Trade publications: ENR, Construction Dive, Constructor Magazine (thought leadership)
LinkedIn outreach: Targeted ads to VP Operations, CTOs at construction firms
Webinar series: "Solving the 500K Worker Shortage" - panel with industry leaders
Case study distribution: Press releases, customer co-marketing
Partnership marketing: Co-sponsor events with Procore, Autodesk, equipment OEMs

Phase 3: Market Leadership (Months 19-36)

Objective: Category Leader, 300+ Customers, $35M+ ARR

Strategic Initiatives:

  1. Association Partnerships: Become "Official Knowledge Transfer Partner" of AGC, ABC
  2. Union Collaboration: Pilot programs with IBEW, UA, SMART for apprenticeship modernization
  3. Government Relations: Position as solution to DOL/DOT workforce development initiatives
  4. Academic Partnerships: Integration with community college construction programs
  5. Equipment OEM Deals: Bundle training with JLG, Caterpillar, Hilti equipment purchases

Sales Playbook

Discovery Questions (Qualify Pain)

Value Proposition by Persona

Persona Primary Pain CrewMind Benefit
CEO/Owner Can't bid on projects due to labor shortage Scale workforce capability 35% faster, take on more work
VP Operations Project delays, cost overruns from mistakes 28% less rework, projects finish on time and under budget
Safety Director High incident rates with new workers 42% fewer safety incidents, lower insurance premiums
HR/Training Expensive, slow traditional training methods Automated training delivery, clear competency tracking
CTO Tech adoption challenges with field workers Mobile-first design workers actually use, integrates with existing stack

Objection Handling

"Our workers won't use it"

Response: Voice-first design requires zero typing. Pilots show 87% weekly active usage. Workers love sharing their expertise when it's this easy.

"Too expensive"

Response: Customers see 20x ROI in 90 days. One prevented project delay pays for 2 years of CrewMind. Can we start with a pilot to prove the value?

"We already have training programs"

Response: CrewMind captures the tacit knowledge that doesn't make it into manuals. It's the "how we actually do it" vs "how it's supposed to be done."

"Not ready for new tech"

Response: You're already using Procore/BIM360. CrewMind integrates seamlessly. We handle onboarding—workers are productive in 48 hours.

8.Competitive Landscape

Market Positioning

CrewMind occupies a unique white space: Construction-specific knowledge management with mobile-first capture and AI structuring. No direct competitors address all three requirements.

Competitive Matrix

Capability CrewMind LMS Platforms Project Mgmt General KM
Construction-specific
Voice-first capture
Offline-first mobile
AI structuring Partial
QR point-of-need
ROI measurement Basic
Integrated w/ existing tools

Indirect Competition Analysis

Learning Management Systems (LMS)

Players: Litmos, Paycom Learn, SAP SuccessFactors

Why they fail: Generic corporate training platforms. No construction-specific content, require curriculum development, text/video heavy (not voice-first), no offline capability, expensive to implement.

Project Management Platforms

Players: Procore, Autodesk Build, PlanGrid

Why we're different: They manage projects, we manage knowledge. We integrate with them to pull context and push training records. Complementary, not competitive—we become the "knowledge layer" in their ecosystem.

General Knowledge Management

Players: Notion, Confluence, SharePoint

Why they fail: Built for office workers, not field workers. Keyboard-first, online-only, no industry-specific AI, no point-of-need QR delivery. Construction workers don't use these tools.

Traditional Training Methods

Alternatives: Classroom training, apprenticeship programs, paper manuals, informal mentorship

Why we win: 10x faster capture, 24/7 availability, scales infinitely, measurable outcomes, preserves knowledge that would otherwise be lost.

🎯 Competitive Moat

CrewMind builds defensibility through:

  1. Network effects: More captures = more value = harder to switch
  2. Data advantage: Proprietary construction knowledge corpus improves AI accuracy
  3. Integration lock-in: Deep connections with Procore, BIM360, HRIS systems
  4. Workflow embedding: Becomes part of daily jobsite routine (QR codes everywhere)
  5. Switching costs: Years of accumulated knowledge base impossible to replicate

9.Financial Projections

5-Year Revenue Model

Metric Year 1 Year 2 Year 3 Year 4 Year 5
New Customers 15 45 120 200 250
Total Customers 15 60 180 380 630
Avg ACV $95K $110K $125K $135K $145K
ARR $1.4M $6.6M $22.5M $51.3M $91.4M
Revenue Growth 371% 241% 128% 78%
Gross Margin 65% 72% 78% 82% 85%
Net Retention Rate 115% 125% 130% 135%
CAC Payback (months) 10 8 7 6 5

Unit Economics Evolution

Year 1 (Land & Learn)

  • ACV: $95K (discounted pilots)
  • CAC: $25K (high-touch sales)
  • LTV: $380K (4 year avg lifespan)
  • LTV:CAC: 15.2x
  • Payback: 10 months

Year 3 (Scale Efficiency)

  • ACV: $125K (expanded usage)
  • CAC: $15K (channel leverage)
  • LTV: $625K (5 year lifespan)
  • LTV:CAC: 41.7x
  • Payback: 7 months

P&L Summary (Thousands)

Year 1 Year 2 Year 3 Year 4 Year 5
Revenue $1,425 $6,600 $22,500 $51,300 $91,350
Cost of Revenue ($499) ($1,848) ($4,950) ($9,234) ($13,703)
Gross Profit $926 $4,752 $17,550 $42,066 $77,648
R&D ($850) ($1,650) ($3,375) ($5,643) ($8,222)
Sales & Marketing ($1,140) ($2,640) ($6,750) ($12,312) ($18,270)
G&A ($428) ($990) ($2,250) ($4,104) ($6,396)
EBITDA ($1,492) ($528) $5,175 $20,007 $44,760

Cash Runway & Funding Strategy

Funding Rounds

Pre-Seed (Completed): $500K friends & family + angels Built MVP, 3 pilots
Seed (Current Raise): $2.5M at $12M pre-money Scale to 100 customers, $10M ARR
Series A (18 months): $12M at $50M pre-money National expansion, 300+ customers
Series B (36 months): $35M at $180M pre-money Market leadership, international

Use of Seed Funds ($2.5M)

45%
Sales & Marketing ($1.13M)
35%
Product & Engineering ($875K)
12%
Operations & G&A ($300K)
8%
Reserve & Contingency ($195K)

18-month runway to:

10.Pilot Results & Validation

Pilot #1: Summit Electric (Electrical Contractor)

Profile: $180M revenue, 320 field workers, East Coast

Duration: 90 days (Jan-Mar 2025)

Scope: Electrical rough-in trade, 85 users, 2 commercial projects

-38%
Apprentice Ramp Time
-31%
Rework Rate
87%
Weekly Active Usage
4.8/5
User Rating

Key Learnings

Customer Quote: "We were skeptical veterans would use it, but the voice interface made it dead simple. We preserved 30+ years of Carlos's expertise before he retired—that knowledge would have walked out the door." — Mike Rodriguez, VP Operations

Pilot #2: Harbor Construction (General Contractor)

Profile: $420M revenue, 680 workers, Mid-Atlantic region

Duration: 90 days (Feb-Apr 2025)

Scope: Multiple trades (electrical, plumbing, HVAC), 142 users, 1 mixed-use project

-33%
Apprentice Ramp Time
-24%
Safety Incidents
91%
Foreman Approval Rate
23.4x
ROI (First 90 Days)

Key Learnings

Customer Quote: "The safety alone justifies the cost. When workers scan QR codes on equipment and see warnings from veterans who've been doing this for 25 years, they pay attention." — Sarah Chen, Safety Director

Pilot #3: Titan Heavy Equipment (Specialty Contractor)

Profile: $95M revenue, 180 equipment operators, Southwest

Duration: 90 days (Mar-May 2025)

Scope: Heavy equipment operation, 48 users, 3 highway projects

-41%
New Operator Training Time
-52%
Equipment Damage Incidents
94%
QR Scan Engagement
$340K
Avoided Equipment Damage

Key Learnings

Aggregate Pilot Metrics

Total Users: 275 across 3 customers
Knowledge Captured: 347 lessons from 28 veteran contributors
Usage Rate: 87% weekly active users (industry avg: 35% for construction software)
Avg Rating: 4.7/5 across all users (92% would recommend)
Conversion Rate: 3/3 pilots converted to paid annual contracts (100%)
Expansion Revenue: 2/3 expanded to additional projects within 90 days
Average ROI: 19.8x in first 90 days

11.Roadmap & Milestones

Q4 2025 - Product Foundation

Completed ✓

Q1-Q2 2026 - Scale & Polish (Post-Seed)

Q3-Q4 2026 - Market Expansion

2027 - Category Leadership (Post-Series A)

Key Milestones & Metrics

Milestone Target Date Success Criteria
Product-Market Fit Q1 2026 15 paying customers, 80%+ NPS, <5% churn
Go-To-Market Fit Q3 2026 Repeatable sales process, <6mo CAC payback
$10M ARR Q4 2026 100+ customers, ready for Series A
Profitability Q2 2027 EBITDA positive, Rule of 40 compliant
Market Leadership Q4 2027 300+ customers, 10% market penetration

12.Team & Advisors

Founding Team

Founder & CEO
Product Vision & Strategy

Background: 8 years in construction tech, previously Product Manager at Procore. Built mobile-first tools used by 50K+ field workers. MBA from Stanford GSB.

Why CrewMind: Witnessed firsthand how retiring superintendents took irreplaceable knowledge with them, leaving projects struggling.

Co-Founder & CTO
Technical Architecture & AI

Background: Former ML Engineer at Google (speech recognition team). Led voice AI product at construction IoT startup. PhD Computer Science, MIT.

Why CrewMind: Passionate about applying AI to blue-collar industries overlooked by Silicon Valley.

VP Product
User Experience & Mobile Design

Background: 12 years product design at Autodesk (BIM 360, PlanGrid). Specialized in offline-first mobile apps for field workers.

Why CrewMind: Frustrated by enterprise software that ignored real jobsite constraints (gloves, noise, connectivity).

Head of Construction Ops
Industry Expertise & Pilot Program

Background: 25 years in construction. Former VP Operations at ENR Top 100 GC. Led innovation initiatives, managed 1,200+ field workers.

Why CrewMind: Retiring in 3 years and wants to ensure his knowledge transfers to next generation.

Advisory Board

Construction Industry Veteran (35 years, former AGC President): Opens doors to ENR Top 400, validates product-market fit, provides industry credibility
SaaS Go-To-Market Expert (3 successful exits, $50M+ ARR experience): Guides sales team build-out, pricing strategy, channel partnerships
AI/ML Researcher (Stanford professor, NLP specialist): Advises on speech recognition, knowledge structuring algorithms, model optimization
Union Leadership (IBEW International Representative): Facilitates apprenticeship program pilots, validates training efficacy, opens union market

Hiring Plan (18 Months Post-Seed)

Role Timing Priority Impact
VP Sales Month 1-2 CRITICAL Build sales process, hire AEs, close first 15 customers
Account Executives (3) Months 3-8 HIGH Each carries $2M quota, 20-25 deals/year
SDRs (2) Months 6-9 HIGH Pipeline generation, demo scheduling, lead qualification
Customer Success Managers (2) Months 4-10 HIGH Onboarding, expansion, retention, case study development
Senior Engineers (3) Months 2-12 HIGH Build integrations, analytics, scale infrastructure
Product Manager Month 8-10 MEDIUM Manage roadmap, prioritize features, coordinate releases
Marketing Lead Month 10-12 MEDIUM Demand generation, content, partnerships, events
Data Scientist Month 12-15 MEDIUM Improve AI models, predictive analytics, personalization

Culture & Values

🎯 Mission

"Ensure no construction expertise is ever lost."

We exist to preserve the knowledge of retiring masters and accelerate the development of the next generation of builders.

🏗️ Core Values

  • Builders first: Design for jobsite reality, not office aesthetics
  • Respect expertise: Honor veterans' knowledge, empower apprentices
  • Measure impact: ROI isn't vanity, it's validation
  • Move fast, build solid: Startup speed with construction quality

13.Investment Opportunity

The Ask: $2.5M Seed Round

💰 Investment Terms

Amount Raising: $2,500,000
Pre-Money Valuation: $12,000,000
Post-Money Valuation: $14,500,000
Equity Offered: 17.2%
Structure: Priced equity round (Series Seed)
Use of Funds: 18-month runway to $10M ARR
Minimum Check Size: $250K

Use of Proceeds

Category Amount % of Total Key Initiatives
Sales & Marketing $1,125,000 45% Hire VP Sales + 3 AEs + 2 SDRs + 2 CSMs, conference presence, demand gen
Product & Engineering $875,000 35% Hire 3 engineers + PM, build integrations, advanced analytics, mobile polish
Operations & G&A $300,000 12% Finance, legal, HR, office/tools, compliance (SOC 2)
Reserve & Contingency $200,000 8% Buffer for hiring delays, market changes, opportunity investments
Total $2,500,000 100%

18-Month Milestones

Month 6

Product-Market Fit Validation

30 paying customers, 85%+ NPS, <5% churn, repeatable sales process documented

Month 12

Go-To-Market Fit

60 customers, $6.6M ARR, CAC payback <8 months, 2 channel partnerships live

Month 18

Series A Ready

100+ customers, $10M ARR run rate, Rule of 40 compliant, clear path to profitability

Return Potential

📈 Investor Return Scenarios (5-Year Hold)

Scenario Year 5 ARR Exit Multiple Valuation MOIC IRR
Conservative $45M 8x ARR $360M 24.8x 96%
Base Case $91M 10x ARR $910M 62.8x 135%
Upside $150M 12x ARR $1.8B 124x 165%

Assumptions: Conservative = 50% of base plan execution. Base = plan as presented. Upside = accelerated adoption + adjacent market expansion. Exit multiples based on recent ConTech/SaaS comparables (Procore 12x, PlanGrid 15x at acquisition, ServiceTitan 13x at IPO).

Why Invest Now

Massive, urgent problem: 500K worker shortage, $247B annual industry pain, getting worse every year
Proven solution: 3 successful pilots, 87% usage rate, 19.8x average ROI, 100% conversion to paid
Strong unit economics: 15-52x LTV:CAC, 5-10 month payback, 135% net retention by Year 5
No direct competition: Unique white space between LMS, project management, and knowledge management
Network effects: More captures = more value = harder to replicate = defensible moat
Large TAM: $18B addressable market with clear expansion paths (other blue-collar industries)
Experienced team: Construction + tech + AI expertise, proven execution on pilots
Macro tailwinds: $1.2T infrastructure bill, housing shortage, manufacturing reshoring = urgent need for skilled labor

Risk Factors & Mitigation

Risk Mitigation Strategy
Adoption resistance from veterans Voice-first design removes barriers. Pilots showed 89% veteran engagement with proper incentives (recognition + micro-royalties)
Sales cycle complexity Start with 90-day pilots to prove ROI. Project-based pricing makes budget approval easier. Early CSM engagement ensures expansion
Quality control of captured knowledge Multi-step review workflow (foreman + safety gate for critical content). Provenance tracking. Outcome-based validation (link to rework reduction)
Competition from Procore/Autodesk We integrate with them, not compete. They're focused on project management, not knowledge transfer. Partnership > competition
Economic downturn impacts construction Labor shortage persists even in downturns (still 500K short). Cost-saving value prop (reduce rework, faster training) more compelling when budgets tight
IP/union concerns about sharing knowledge Org-scoped by default. Customers control cross-project sharing. Union partnerships validate approach. IP protection built into platform

Next Steps

  1. Introductory call: 30-minute overview with founders, Q&A, gauge fit
  2. Detailed diligence session: Product demo, pilot results deep-dive, unit economics walkthrough
  3. Customer reference calls: Speak with 2-3 pilot customers, validate ROI claims
  4. Term sheet: Negotiate terms, legal review, close within 30 days

Ready to Build the Future of Construction Training?

Join us in solving the 500,000 worker shortage and preserving decades of irreplaceable expertise.

Contact: team@crewmind.com | (555) 123-4567

Appendix A: Market Research Sources

Industry Reports & Data

Technology Benchmarks

Academic Research

Appendix B: Technical Architecture Diagram

System Components

Frontend Layer

  • React Native (iOS/Android)
  • React Web Admin
  • Offline-first architecture
  • SQLite local storage
  • Background sync engine

API & Services

  • NestJS REST API
  • GraphQL for complex queries
  • Redis message queue
  • WebSocket for real-time
  • Webhook management

AI/ML Pipeline

  • Whisper speech-to-text
  • GPT-4 structuring
  • Vision models (photo/video)
  • Vector embeddings (pgvector)
  • Semantic search

Data Layer

  • PostgreSQL (primary DB)
  • pgvector (embeddings)
  • Redis (cache/queue)
  • AWS S3 (media storage)
  • CloudFront CDN

Integrations

  • Procore API
  • Autodesk Build API
  • Microsoft/Okta SSO
  • Webhook receivers
  • Custom API endpoints

Infrastructure

  • AWS ECS/Fargate
  • Auto-scaling groups
  • RDS Multi-AZ
  • CloudWatch monitoring
  • WAF security

Appendix C: Sample Customer Contract Structure

Enterprise Agreement Template

Agreement Type: Letter of Intent (LOI) with Minimum Earned Commitment

Commitment Period: 24 months
Projected Volume: 10 projects across size tiers
Total Contract Value: $738,000 (if full volume activated)
Minimum Earned Commitment: $369,000 (50% guaranteed)
Billing Trigger: Purchase Order issued when project starts
Payment Terms: Monthly in arrears (Net 30)
True-Up Provision: Annual reconciliation if >120% of projected volume
Renewal: Auto-renew with 90-day notice to cancel

This structure aligns with construction industry payment norms (pay-as-you-go) while providing CrewMind with revenue predictability through the MEC. Customers appreciate the flexibility to scale usage without upfront risk.

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