Razor Labs Tech Stack

AI-powered predictive maintenance for mining equipment using sensor fusion

Software Development Sydney, NSW 51–200 employees Founded 2016 Public Company

Razor Labs builds sensor-fusion predictive maintenance systems for mining operations, using Python, BigQuery, and PostgreSQL to ingest and analyze multi-modal sensor data (vibration, temperature, pressure, oil, video) and forecast equipment failures before they occur. The engineering-heavy hiring focus—6 of 11 open roles—paired with active projects spanning edge device automation, backend AI systems, and sensor integration, signals investment in scaling both the data pipeline and field deployment infrastructure. Pain points around device connectivity and data transmission suggest the core technical challenge is reliable edge-to-cloud data flow in remote mining environments.

Tech Stack 10 technologies

Core StackPython BigQuery PostgreSQL Ansible Docker Linux Terraform Figma Bash Hitachi

What Razor Labs Is Building

◆Challenges

Streamlined deployment processes
Device connectivity issues
High system reliability
Data transmission issues
Prevent delivery disruptions
Ensuring alignment across teams
Managing cross-functional deployments
Complex technology deployments
Financial control
Technical challenges

▲Active Projects

Ansible playbook development
Edge device testing
Datamind ai backend system
Edge infrastructure automation
Edge device installation automation
Datamind ai backend development
Datamind product design
Scalable design system in figma
Sensor-based condition monitoring deployments
Integration of sensor installation with fixed plant assets

Hiring Activity

Steady10 roles · 4 in 30d

Department

Engineering

Ops

Marketing

Operations

Product

Seniority

Senior

Director

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About Razor Labs

Razor Labs is a publicly traded mining-technology company founded in 2016, headquartered in Sydney with offices in Perth and Tel Aviv. The company develops predictive maintenance platforms that combine machine learning with multi-sensor data streams to predict equipment failures, reduce unplanned downtime, and improve safety in mining operations. Solutions are deployed at sites across Western Australia and South Africa. The product stack centers on condition monitoring and root-cause analysis, enabling mining operators to optimize equipment reliability and avoid costly production interruptions.

HeadquartersSydney, NSW

Company Size51–200 employees

Founded2016

Hiring MarketsIsrael, Australia, South Africa, Canada

Frequently Asked Questions

What technology stack does Razor Labs use?

Python, BigQuery, PostgreSQL, Docker, Terraform, Ansible, Linux, and Figma for design. The stack emphasizes cloud data warehousing and infrastructure-as-code for scalable deployments.

What is Razor Labs working on?

Active projects include edge device automation, backend AI system development, sensor-based condition monitoring deployments, and integration of sensor installation with fixed mining assets. Edge infrastructure and deployment streamlining are core development areas.