ENGINEERING CONSULTING FIRM BUSINESS PLAN

I. Executive Summary

Company Description

Vertex Engineering Collective — named to reflect our focus on peak technical solutions and connected digital systems — is a U.S.-based engineering consulting firm launching in 2026. We operate in the engineering services sector, serving manufacturing, technology, and construction clients with high-level engineering, project management, AI-driven simulations, and digital twin implementations. Our core offerings combine traditional engineering analysis with scalable digital tools to speed design cycles, reduce rework, and de-risk capital projects. One-liner: Peak engineering judgment plus digital replication for faster, cheaper execution.

We sell time-and-materials and subscription-style access to multi-stream services: on-demand senior engineers, end-to-end project delivery, and recurring digital-twin monitoring. Day-to-day activities include requirement capture, simulation and model build, field validation, project oversight, and client training. We target small to mid-sized enterprises seeking technical depth without large in-house teams. Short-term goal: sign five retainers and deploy three pilot digital twins in year one (2026). Long-term goal: become a leader in U.S. engineering digital transformation with 25% annual revenue growth and a 40% gross margin by year five. One-liner: Practical engineering expertise packaged as on-demand, measurable outcomes.

Problem

Small to mid-sized U.S. manufacturing and construction firms face technical bottlenecks that exceed in-house capabilities, causing frequent project delays, budget overruns, rework, missed delivery dates, reduced product performance, and safety or compliance exposure. These firms typically cannot afford a full-time, senior engineering team and lack access to advanced simulation tools and high-tier expertise, so they rely on generalist staff and trial-and-error approaches that raise direct and indirect costs and limit competitive bidding on technical projects.

There is a clear need for on-demand, senior engineering expertise and advanced simulation capabilities to eliminate delays, cut rework, and restore competitive pricing in technical projects.

Solution

Small and mid-sized U.S. businesses often face technical gaps that exceed internal engineering capacity, driving project delays, cost overruns, and failed launches. We provide on-demand engineering consulting and project management that pairs dedicated project managers with specialized engineers and uses AI-driven simulations and digital twins to validate designs before physical production.

This approach reduces prototyping costs, shortens time-to-market, and shifts fixed engineering expense to a flexible, project-based model—so companies get senior technical talent, predictive design validation, and budgeted oversight exactly when they need it.

Mission Statement

We empower small and mid-sized businesses with AI-driven engineering and digital twin solutions that simplify complex problems and reduce project risk. We deliver predictive insights and hands-on support to optimize designs, cut costs, and accelerate execution while prioritizing client outcomes and continuous improvement. We commit to technical excellence, ethical use of data, and measurable sustainability benefits so clients gain a lasting competitive edge.

Key Success Factors

Our success depends on technology, talent, go-to-market efficiency, partnerships, and financial discipline.

• AI-driven simulations and digital twins: provide predictive insight that differentiates our services.
• Core licensed engineering team: multi-disciplinary staff ensures consistent, high-quality technical delivery.
• Declining CAC: customer acquisition cost targeted to reach $1,600 by 2030 to scale profitably.
• Strategic alliances: partnerships with industry associations and technology providers to generate leads and access innovation.
• Financial discipline: cost control and runway management aimed at breakeven in January 2028.

Financial Summary

U.S. launch in 2026 with initial EBITDA losses followed by recovery: 2026 EBITDA -$434,000; 2027 EBITDA -$181,000; 2028 EBITDA $543,000.

Financial requirements: maintain a minimum cash reserve of $65,000; breakeven expected Jan-28 (25 months); payback in 43 months. Anticipated ROI: ROE 5.18% and IRR 0.04% (forecasted).

Outlook: loss in the first two years, positive EBITDA from 2028 and target EBITDA $3.745M by 2030.

Funding Requirements

The firm requires USD 930,000 to launch in 2026 and sustain operations through breakeven in Jan-2028 while maintaining a minimum cash reserve of USD 65,000.

Projected recovery to positive EBITDA in Year 3, scaling to annual EBITDA of $3,745,000 by 2030 driven by high‑margin AI Digital Twin Modeling services.