P

Pavemetrics Systems Inc. Tech Stack

Machine vision systems for automated infrastructure inspection

Appliances, Electrical, and Electronics Manufacturing Quebec, Quebec 11–50 employees Privately Held

Pavemetrics builds vision sensors and ML pipelines for transportation infrastructure monitoring—roads, runways, rails, and tunnels. The tech stack (Python, C++, Kubernetes, FastAPI) and active project list (containerized inference, model retraining automation, ML deployment) reveal an engineering org scaling ML ops; hiring velocity is accelerating with 6 engineering roles open, mostly mid-level, signaling a shift from prototype toward production ML infrastructure.

Tech Stack 14 technologies

Core StackDocker Kubernetes FastAPI Python C++ Linux Salesforce Adobe Premiere Pro Adobe Illustrator Canva Windows LinkedIn PowerPoint Photoshop

What Pavemetrics Systems Inc. Is Building

◆Challenges

Integrating models into hybrid environments
Automating ml model lifecycle
Optimizing development processes
Improving code quality

▲Active Projects

Containerized inference pipelines
Automated retraining workflows
Ml model deployment pipeline
Model retraining automation

Hiring Activity

Accelerating9 roles · 5 in 30d

Department

Engineering

6

Marketing

2

Sales

1

Seniority

Mid

5

Intern

3

Senior

1

Company intelligence

Find more companies like Pavemetrics Systems Inc. by tech stack, pain points and active projects

Get started free

About Pavemetrics Systems Inc.

Pavemetrics develops automated vision inspection systems for infrastructure asset management. The product captures high-resolution 2D imagery and 3D profiles of transportation surfaces at highway speeds (up to 100 km/h), operating in both day and night conditions. Applications span pavement distress detection, airport foreign-object debris screening, rail and tunnel inspection. The company operates as a business unit within Previan. Based in Quebec with 11–50 employees, the org is currently hiring across engineering, marketing, and sales roles in Canada.

HeadquartersQuebec, Quebec

Company Size11–50 employees

Hiring MarketsCanada

Frequently Asked Questions

What tech stack does Pavemetrics use?

Core stack: Python, C++, FastAPI, Docker, Kubernetes. Infrastructure: Linux and Windows. Productivity tools: Salesforce, Adobe Creative Suite (Premiere Pro, Illustrator, Photoshop), Canva.

What is Pavemetrics working on?

Active projects: containerized ML inference pipelines, automated model retraining workflows, ML model deployment pipelines, and model lifecycle automation. These reflect efforts to scale production ML operations.