POINT CLOUD DATA PROCESSING SERVICE BUSINESS PLAN

I. Executive Summary

Company Description

VectorForge (name denotes precise directional data "vector" and crafted outputs "forge") is a 2026 Denver-based service firm in the U.S. AEC industry that converts complex 3D laser scan point-clouds into actionable digital models. We deliver high-accuracy as-built documentation, LOD-based BIM/CAD models, and clean CAD deliverables through an expert team of BIM/CAD technicians and high-performance computing infrastructure, billed on a scalable hourly model to match project scope and review cycles. We target architects, structural and MEP engineers, and general contractors working on renovations, retrofits, and complex existing-conditions projects. One-line: precision point-cloud to buildable model work, billed hourly for predictable scaling.

Core activities include scan ingestion and registration, noise filtering and classification, model creation to client LOD, QA validation, and cloud delivery of BIM/CAD packages and annotations. What sets us apart is our focus on repeatable QA workflows, staffed specialists, and compute capacity that shorten turnaround while preserving measurement-grade accuracy. Short-term goal: launch operations in Denver and sign regional AEC firms in 2026; long-term goal: become the premier U.S. partner for reality capture data transformation. One-line: launch locally, scale nationally, own reality-capture-to-BIM excellence.

Problem

One-liner: Raw 3D laser scan data is unusable by standard AEC workflows without expert processing.

The point-cloud files produced by 3D laser scans are excessively massive and complex for typical architectural, engineering, and construction tools. Design teams lack the specialized software, trained staff, and time required to convert raw scans into modeled, design-ready deliverables.

That gap creates measurable project friction: delayed design approvals and downstream schedules, increased construction change orders, costly on-site rework, technical bottlenecks during design, and a high risk of inaccurate as-built documentation. Current solutions leave a persistent data gap between capture and usable digital models for U.S. AEC firms.

Solution

The AEC industry receives massive, unusable point cloud files that demand specialized skills, expensive software, and high-performance hardware most firms lack, causing delays, design errors, and rework. We convert raw scans into lightweight, validated BIM and CAD deliverables optimized for interoperability and facility-management workflows, delivered from a U.S.-based operations model so project teams get standardized, project-ready digital assets without heavy in-house overhead.

One-liner: We turn raw scans into construction-ready BIM/CAD assets for immediate use.

Mission Statement

We bridge the gap between raw reality capture data and project-ready digital models so architects, engineers, and contractors build with speed, accuracy, and confidence. We deliver actionable 3D data, streamlined workflows, and technical excellence across the construction lifecycle. We commit to being the most trusted U.S. data processor by prioritizing client outcomes, quality, and continuous innovation.

Key Success Factors

Core operational, technical, commercial, and financial elements that will drive success for the point cloud data processing service.

• 18.0 FTEs by 2030 including a Senior BIM Manager and 10.0 Modeling Technicians to sustain capacity.
• High-performance GPU workstations + secure cloud hosting for rapid delivery and reliable data handling.
• Marketing efficiency lowering CAC from $2,500 to $1,800 while scaling revenue to $6.4M.
• Strategic partnerships with hardware manufacturers and AEC software providers for steady lead flow.
• Proven financial path to breakeven in 17 months with a 4.83% Return on Equity.

Financial Summary

The financial plan starts with a 2026 launch: first-year revenue of $695,000 and an EBITDA loss of $376,000, scaling to $6,428,000 revenue and $2,994,000 EBITDA by Year 5.

The business requires sufficient startup capital to maintain a minimum cash balance of $383,000, reaches breakeven in May 2027, and achieves a total payback in 38 months; the five-year internal rate of return is 4.53%.

Overall financial outlook: growing revenue, positive EBITDA from Year 2, and modest investor returns.

Funding Requirements

We will launch in 2026 with $695,000 initial revenue, a Year‑1 EBITDA loss of $376,000, breakeven in May 2027, a 38‑month payback, a five‑year IRR of 4.53%, projected Year‑5 revenue of $6,428,000 and a maintained minimum cash buffer of $383,000.