sizeless: Automatically Generate 3D Models and BIM Drawings of Underground Pipelines from Phone Videos

Underground Pipeline Documentation: An Overlooked Industry Pain Point

In urban construction, underground pipeline documentation is often one of the most underestimated yet indispensable components of any project. Whether dealing with water supply, power, or telecommunications lines, utility companies and contractors are legally required to submit complete as-built documentation — including 3D models, CAD/BIM drawings, and quantity takeoffs for billing and settlement.

Yet the efficiency of traditional workflows is staggeringly poor. According to the sizeless team, completing this documentation typically takes months and depends on professional surveyors conducting on-site fieldwork. For construction sites where trenches are dug and backfilled daily, this lag not only slows project timelines but significantly drives up compliance costs.

sizeless targets exactly this niche yet substantial market pain point. Its solution is direct and bold: let the construction crew shoot a short smartphone video of the excavated trench, then let Spatial AI handle the rest — delivering results within hours.

sizeless Core Capabilities: From a Phone Video to Compliant Documentation

The core capability of sizeless is transforming ordinary smartphone footage of trenches into professional-grade construction documentation. This involves a combination of computer vision, 3D reconstruction (such as photogrammetry or neural rendering), and engineering semantic recognition.

Three Deliverables: 3D Models, BIM Drawings, and Quantity Takeoffs

According to the official description, sizeless outputs span three levels:

• 3D Models: Reconstruct the spatial geometry of excavated trenches and the pipelines within them, providing an intuitive view of actual construction conditions;
• CAD/BIM Drawings: Convert 3D data into standardized drawing formats common in the engineering industry, ready to be integrated directly into design and asset management workflows;
• Quantity Takeoffs: Automatically calculate the various quantity metrics that contractors use for invoicing and settlement — the component most directly tied to cash flow.

This "capture once, deliver multiple outputs" model compresses work that was previously scattered across surveying, drafting, and quantity estimation into a single automated pipeline.

A Leap in Efficiency: From Months to Hours

The efficiency contrast is worth emphasizing: from months to hours, and from relying on professional surveyors to crews capturing data themselves with a smartphone. This is not just a compression of time — it's a fundamental restructuring of the entire workflow, lowering the professional barrier and putting frontline workers at the start of the data collection process.

Why Spatial AI Is the Key to Underground Infrastructure Digitization

sizeless positions itself as "Spatial AI for underground infrastructure" — a remarkably precise description.

Underground pipelines present several unique challenges:

• A one-time visibility window — once a trench is backfilled, the pipeline is permanently buried underground. If it isn't accurately documented at that moment, subsequent verification is extremely costly;
• Geometric complexity — pipelines intersect at varying depths, making manual measurement both slow and error-prone;
• Hard compliance requirements — documentation is not optional; it is legally mandated.

Spatial AI is uniquely suited to capture the most complete 3D information at the lowest collection cost during this fleeting construction window. Compared to LiDAR or professional surveying equipment, smartphones are practically ubiquitous, bringing the marginal cost of data collection close to zero.

Market Potential and Go-to-Market Challenges

sizeless received 88 upvotes on Product Hunt, ranking 10th for the day in the AI and Tech categories, built by Cornelius von Einem. While the vote count isn't blockbuster-level, the product targets a high-value, low-digitization gap in a traditional industry.

Potential Market Value

Underground infrastructure construction is a trillion-dollar global market, yet its documentation processes have long remained manual or semi-automated. Any tool that can significantly reduce compliance costs and accelerate delivery timelines has considerable commercial upside. The quantity takeoff component in particular is directly linked to billing and settlement, meaning AI automation here can produce immediate, tangible improvements to cash flow.

Key Questions to Validate Before Scaling

From demo to scaled deployment, sizeless still needs to answer several critical questions:

• Whether 3D reconstruction accuracy meets engineering acceptance standards: Can the 3D precision reconstructed from smartphone video satisfy the compliance requirements of utility companies and regulators? This is the core threshold;
• Robustness in complex on-site conditions: Performance in real-world site conditions involving mud, occlusions, and poor lighting;
• Integration with existing BIM/GIS systems: Documentation ultimately needs to feed into clients' existing asset management ecosystems.

Conclusion: Another Blueprint for AI Penetrating Vertical Industries

sizeless illustrates a classic case of "AI filling a digitization gap": rather than chasing the hottest general-purpose LLM race, it goes deep into an overlooked vertical industry and uses Spatial AI to address genuine compliance and efficiency pain points.

Compressing months of surveyor work into a smartphone video capture plus a few hours of automated processing — if the accuracy can consistently hold up to engineering standards, sizeless has the potential to become foundational infrastructure for underground asset documentation. This once again validates a broader trend: the next wave of AI value may well be hiding in traditional industries that look "unglamorous" on the surface, but are driven by ironclad, non-negotiable demand.