Cloud-based asset management with IoT sensors and predictive AI
Fracttal operates a cloud-native asset management platform that combines CMMS/EAM software, IoT device integration, and predictive maintenance AI. The stack reveals a maturing observability and data pipeline focus—Datadog, Prometheus, OpenTelemetry, Fluent Bit, and Apache Airflow suggest they're investing in real-time monitoring and orchestration across distributed IoT deployments. Sales-led hiring (23 sales roles vs. 14 engineering) and active projects around integration orchestration and edge AI processing indicate the company is scaling go-to-market while deepening technical product capabilities for mid-market and enterprise customers.
Notable leadership hires: IoT Lead
Fracttal builds a SaaS platform for managing physical assets—machinery, equipment, facilities—via cloud software, IoT sensors, and AI-driven maintenance predictions. The product integrates asset lifecycle management (CMMS/EAM features), real-time data collection from connected devices (MQTT, AWS IoT, Azure IoT Hub), and automated insights to reduce downtime and maintenance costs. The company operates across LATAM and Europe, with active hiring in Spain, Brazil, Chile, Colombia, and Mexico. Current work includes expanding integration capabilities, deploying edge AI for data processing, and scaling sales coverage into mid-market and enterprise segments.
AWS IoT, Azure IoT Hub, MQTT, and ESP32 microcontrollers. They also use Apache Airflow for orchestration and Datadog + Prometheus for real-time monitoring of IoT data pipelines.
Alcobendas, Madrid, Spain. Founded in 2015, the company employs 51–200 people and operates as a privately held SaaS business.
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