Trackfy Tech Stack

IoT platform for industrial process optimization and worker safety

Embedded Software Products Sao Paulo, SP 11–50 employees Founded 2019 Privately Held

Trackfy operates an IoT and data analytics system for manufacturing environments, handling large volumes of sensor and operational data across Python, Node.js, and cloud infrastructure (AWS, GCP, Azure). The tech stack—heavy on analytics tools (Power BI, Tableau, Looker) paired with SQL and data-science languages (Python, R)—reflects a company built around extracting actionable insights from plant-floor data. Active pain points around data quality consistency and large-volume management suggest they are scaling ingest and validation layers.

Tech Stack 15 technologies

Core StackFigma Power BI Tableau Looker Python Node.js TypeScript AWS Linux SQL Excel R GCP Azure Microsoft Office

What Trackfy Is Building

◆Challenges

Managing large data volumes
Ensuring data quality consistency
Tracking key business metrics
High complexity incident resolution
Ensuring code quality and performance

▲Active Projects

Design system governance
User research and usability testing

Hiring Activity

Steady7 roles · 2 in 30d

Department

Engineering

Support

Data

Product

Seniority

Mid

Junior

Senior

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About Trackfy

Trackfy builds a web-based industrial IoT platform that collects sensor and operational data from manufacturing environments and applies analytics and machine learning to optimize processes, improve decision-making, and enhance worker safety. The platform targets mid-market manufacturers in Brazil and Portuguese-speaking industrial markets. The team is small and engineering-forward, with core strength in data pipeline and visualization work, balanced by growing support and product functions. Hiring remains Brazil-focused and steady.

HeadquartersSao Paulo, SP

Company Size11–50 employees

Founded2019

Hiring MarketsBrazil

Frequently Asked Questions

What technology stack does Trackfy use?

Trackfy uses Python, Node.js, TypeScript, SQL, AWS, GCP, and Azure for platform infrastructure. Visualization and BI work runs on Power BI, Tableau, and Looker. Design tooling includes Figma.

What are Trackfy's main challenges?

Trackfy is managing large industrial data volumes with a focus on data quality consistency. Other active challenges include incident resolution complexity and code quality assurance as the platform scales.