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Mach9 Tech Stack

AI-powered 3D map generation from LiDAR and imagery datasets

Technology, Information and Internet San Francisco, CA 11–50 employees Founded 2021 Privately Held

Mach9 automates feature extraction from reality-capture data—transforming raw LiDAR and imagery into engineering-ready 3D maps and GIS deliverables. The stack (Next.js, React, Three.js, Cesium.js, PyTorch, JAX) reflects dual competencies in web visualization and ML model tuning. Active projects signal a team balancing core product maturation (feature extraction, QA workflows) with go-to-market momentum (case studies, demand generation, customer onboarding), while pain points reveal friction in contract negotiation and scaling revenue from existing customers.

Tech Stack 15 technologies

Core StackNext.js Node.js React Redux Prisma Figma Tailwind CSS Python PyTorch Cesium.js Three.js LiDAR Jax LinkedIn GIS

What Mach9 Is Building

◆Challenges

Reducing time and cost of 3d mapping
Ensuring accuracy of 3d detection features
Increasing revenue from existing customers
Expanding usage across multiple projects
Contract negotiation and onboarding
Balancing accuracy and speed for edge deployment
Inefficient map production
Large scale dataset management
Inbound growth engine
Inbound demand generation

▲Active Projects

Case study and landing page creation
Inbound demand generation
3d annotation qa tool
Core product workflows (3d feature extraction, qa, geospatial review)
Design system evolution
Design team growth and mentorship
Prototype paint lines and curbs detection
Real-time detection on edge hardware
Tuning machine learning models for performance
Customer onboarding process improvement

Hiring Activity

Decelerating10 roles · 2 in 30d

Department

Design

3

Marketing

3

Engineering

2

Sales

1

Support

1

Seniority

Junior

3

Senior

3

Mid

2

Intern

1

Lead

1

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About Mach9

Mach9 builds software that automatically extracts features—utility poles, signs, curbs, road striping—from LiDAR and imagery datasets to generate CAD and GIS-ready maps. The product, Digital Surveyor, targets surveying, engineering, and construction teams seeking faster, lower-cost 3D mapping workflows. Founded in 2021 and headquartered in San Francisco with 11–50 employees, Mach9 operates as a private company focused on reducing both the time and cost of large-scale mapping projects. Current work spans design-system evolution, ML model tuning for edge deployment, and prototype detection capabilities for road infrastructure.

HeadquartersSan Francisco, CA

Company Size11–50 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What is Mach9's technology stack?

Frontend: Next.js, React, Redux, Tailwind CSS, Cesium.js, Three.js for 3D visualization. Backend: Node.js, Prisma. ML: Python, PyTorch, JAX. Geospatial: LiDAR processing and GIS integrations.

What is Mach9 working on?

Core product: 3D feature extraction, QA workflows, and geospatial review. Emerging: real-time detection on edge hardware, paint-lines and curbs prototype, ML model optimization. Go-to-market: case studies, inbound demand generation, customer onboarding workflows.

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