Mach9 Raises $34M Series A for Civil Engineering AI CAD

Mach9 wants its software bill to make sense beside the miles in a surveying contract. Bessemer Venture Partners describes the company's pricing in road miles or acres surveyed, putting AI CAD into the economics of the project an engineering firm has agreed to deliver. That gives the buyer a concrete place to start: the work, the people available to finish it, and the cost of getting a usable drawing into an engineer's hands.

The San Francisco company announced a $34M Series A on October 21, 2026, co-led by First Round Capital and Bessemer Venture Partners, with participation from Prudence and returning investor Quiet Capital. Mach9 says the financing brings its total funding to $49M. The capital will support expansion of its AI software for surveying and civil engineering.

Mach9's proposition reaches into the labor behind infrastructure delivery. A road or utility scan can contain an extraordinary amount of information while leaving an experienced technician with days of drawing work. Automating part of that preparation could give an engineering firm room to accept more assignments, with the same professionals still responsible for checking what leaves the office.

Why Mach9 moved from capture hardware to CAD software

Mach9's founders reached the software business by changing their minds about the product. The company's current account says Alexander Baikovitz, Haowen Shi, Michael Mong and Zachary Sussman founded Mach9 in 2021 after working together at Carnegie Mellon University's Robotics Institute. They initially built reality-capture hardware, then concentrated on software in 2024 after customers showed them how much work remained after collecting the data.

Baikovitz serves as CEO, while Sussman identifies his current role as co-founder and CTO. Shi and Mong are fellow co-founders. That team's experience in understanding physical environments found a different commercial home: helping an engineering organization turn a scan it already possessed into something it could deliver.

The decision also changes the sales conversation. Customers can bring data from equipment they already use, rather than beginning with a replacement purchase for the field crew. Mach9 can concentrate on the office work that follows collection and the quality of the deliverable that eventually supports a design decision.

There is a useful discipline in that change of direction. The customer gets to define which part of the workflow deserves attention, even when the answer sends the founders away from the thing they first set out to build. Mach9 now has fresh capital behind that software commitment, five years after its founding.

What surveyors do with Mach9's AI-generated drawings

Mach9's browser-based CAD workflow begins with uploaded scan data and produces a draft of physical features. The current product documentation describes automated extraction of curbs, striping, poles, signs and other geometry, followed by editing and quality control. Surveyors can inspect the proposed work, move vertices and draw manually where the site requires it.

That workflow preserves a consequential place for professional judgment. A model can propose geometry, but a survey team still has to decide whether the output represents the site well enough for its intended use. Time saved on initial tracing can move into inspection, difficult features and the preparation of the final deliverable.

Exports include DXF, DGN and Esri Feature Services, connecting the work to existing CAD and geographic-information workflows. Supporting those destinations matters commercially because an engineering buyer's obligation continues after the AI finishes its first pass. The file must remain useful to the people and systems further along the project.

The purchasing comparison therefore extends beyond a feature list. A firm can examine how much preparation, checking and file handling remains on a representative job, then evaluate the purchase against that complete workload. That is an operating question a project manager can investigate with the team's own data, before extending the workflow across more assignments.

Customer cases put capacity beside the funding headline

A Mach9-hosted Pennoni case study reports a 50% increase in project capacity without adding headcount, alongside faster survey-to-CAD production. The case describes a team that had assembled different software combinations for different deliverables, then coordinated the resulting files. Bringing more of that work into one environment reduced the handoffs surrounding the drawing itself.

Those results belong to a specific customer account published by the vendor. They illustrate why an engineering firm might buy the software, while leaving other buyers to establish the result on their own mix of projects. A corridor survey and a complex site can place different demands on extraction, correction and review.

The Michael Baker International case provides another view of the same commercial territory. It describes sign-inventory work in which extraction, validation and asset information are brought into a shared environment. The useful output travels beyond a picture of a road into decisions about the assets along it.

Mach9 reports use across more than 2,500 projects and 100,000 miles of infrastructure in all 50 states. Named customers include WSP, HNTB and NV5. That company-reported footprint gives the funding story a record of deployment to examine, while the customer cases explain what teams have actually been trying to improve inside those projects.

What the Series A supports inside the engineering workflow

Bessemer's investment account describes plans to broaden Mach9's feature types and data sources and expand its go-to-market team. Its description of usage-based pricing is important to the investment logic: the product is evaluated against the effort attached to a job. More coverage within the workflow could make that calculation relevant to a wider range of surveying assignments.

Quiet Capital led Mach9's previously announced $12M Seed in November 2024 and participated again in this round. The current $49M cumulative figure is the company's reported total; the two disclosed round amounts are not presented as a complete history of every financing. No valuation or revenue figure was disclosed in the announcements reviewed.

For infrastructure buyers, the significance sits in the work between collection and delivery. A procurement decision about CAD can influence how an experienced team uses its time, how much checking stays inside one environment and how readily a finished file reaches the next engineer. The economics become tangible when the software is used on a job with a deadline and a client waiting.

Mach9 is extending its product from that position, with hiring and commercial expansion supporting the effort. As additional feature types arrive, surveying teams will be deciding which pieces of their existing production process can follow them into the same working environment. Each of those decisions carries another part of an infrastructure project from raw capture toward a drawing somebody is ready to use.