Industrial AI and IoT platform for plant-floor monitoring and control
Faclon Labs builds an industrial AI and IoT platform that bridges plant-floor PLCs (Siemens S7, Allen-Bradley ControlLogix, AVEVA Historian via Modbus TCP and Ethernet/IP) with a Python ML stack running Prophet, LSTM, Transformers and MLflow. Adoption of AWS, Azure and GCP points to a multi-cloud deployment push, while accelerating, intern-heavy hiring in India and Saudi Arabia pairs engineering with sales and lead generation.
Notable leadership hires: Lead Generation
Faclon Labs is a privately held company founded in 2020 and headquartered in Palo Alto, California, with 51–200 employees. It develops an industrial AI and IoT platform that connects instrumentation, analytics and control for operators of factories, utilities, airports and city infrastructure. Its product suite includes a real-time dashboard and workflow platform, a conversational AI assistant for operational data, and AI workbenches for use cases such as predictive maintenance, energy efficiency and process optimization. Current hiring activity is concentrated in India and Saudi Arabia.
Faclon Labs uses Python, Node.js, C++, Node-RED, Docker, MLflow, Airflow and Dagster on AWS and GCP, plus industrial systems like Siemens S7, Allen-Bradley ControlLogix and AVEVA Historian.
Faclon Labs is currently hiring in India and Saudi Arabia, across engineering, sales, operations, data, design and marketing, with many intern-level roles.
Job posts point to an energy management AI solution, a vibration monitoring AI system, an industrial optimization platform, and modernization and commissioning upgrades.
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Faclon Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.