Altum Lab

Altum Lab, now operating as Bruna.ai, provides a productive management suite designed to optimize production processes for companies in extractive and manufacturing industries. Founded in Santiago, Chile, in 2017 by Madeleine Valderrama and Ismael Valenzuela, the company leverages artificial intelligence to enhance operational efficiency. Valderrama, the CEO, is an industrial civil engineer with a master's in technology and over a decade of experience in the manufacturing sector. Her journey began in the fishing industry, where she focused on redesigning production plants and integrating new technologies. This experience, particularly the challenges of fishmeal blending and quality inconsistencies, inspired the creation of the company's core product. After a career break and extensive travel, Valderrama teamed up with Valenzuela, a computer engineer she met at university, to build a solution based on her industry knowledge and his technical skills.

The company's primary offering is Bruna, an AI-powered platform that transforms traditional plants into intelligent processing facilities. The system functions as an "AI Productivity Coach" by using predictive and operational models to analyze data from various sources, including ERPs, SCADA systems, and IoT databases. Bruna's key capabilities include predicting the quality of incoming raw materials hours in advance, suggesting optimal blending recipes to stabilize production, and forecasting potential equipment failures to prevent unplanned downtime. This enables clients to reduce production costs, decrease energy consumption, minimize waste, and improve the final product's commercial value. The business model is centered on providing these solutions as a service, with a focus on industries such as mining, agriculture, food manufacturing, and pulp production. The company has demonstrated success stories, such as helping a Peruvian sugarcane producer predict sugar concentration 90 days pre-harvest and enabling a fishmeal producer to increase the value of their stock by over $4.6 million. Initially focused on fishmeal, the platform's application has expanded to twelve different industries across Chile, Peru, and Mexico.

Keywords: industrial AI, production optimization, predictive analytics, raw material management, process manufacturing, mining technology, agricultural technology, food production optimization, asset performance management, operational efficiency, supply chain optimization, Madeleine Valderrama, Ismael Valenzuela, South American tech, industrial software, AI productivity coach, resource management, waste reduction, energy savings, quality control automation