Fero Labs

Fero Labs, founded in 2016 and headquartered in New York City, is a pioneer in AI-driven optimisation for industrial processes, focusing on sustainability and efficiency. The company offers a unique "white-box" machine learning platform that stands out for its transparency and explainability. Unlike traditional "black-box" solutions, Fero Labs' platform provides confidence bands on predictions and live, explainable optimisations, enabling users to make well-informed production adjustments.

The company serves a range of sectors, including steel, chemicals, oil & gas, cement, and consumer packaged goods. Fero Labs' technology is designed to help industries with high carbon emissions improve their operations by reducing waste and enhancing resource efficiency. Its AI platform is noted for its ability to deliver actionable insights quickly, with reported instances of clients saving over $20 million and cutting carbon emissions by approximately 100,000 tons.

In 2024, Fero Labs was recognised as a Technology Pioneer by the World Economic Forum (WEF), highlighting its role in advancing sustainable industrial practices. The company recently closed a $15 million growth funding round, bringing its total funding to $30 million, to further develop its software and expand its impact.
Fero Labs' approach to industrial optimisation involves leveraging its proprietary models and user-friendly tools to streamline production processes and achieve significant cost and sustainability benefits. By making complex data insights accessible, Fero Labs aims to transform manufacturing operations, driving both profitability and environmental stewardship.

Fero Labs was established in 2016 by Berk Birand, a visionary in the field of artificial intelligence and machine learning, with a focus on revolutionising industrial process optimisation. The company, headquartered in New York City, emerged with a mission to address the inefficiencies and environmental challenges faced by industrial sectors such as steel, chemicals, oil & gas, cement, and consumer packaged goods.

From its inception, Fero Labs sought to differentiate itself by employing "white-box" machine learning technology, a notable shift from the conventional "black-box" models prevalent in the industry. This innovative approach provided a significant advantage by ensuring transparency and explainability in its predictions. Fero Labs' platform offers contextual insights into the decision-making process, allowing users to understand the rationale behind each recommendation and thereby fostering greater trust in AI-driven solutions.

In its early years, Fero Labs concentrated on refining its technology and building a robust platform that could deliver actionable insights in real-time. The company’s proprietary algorithms and models were designed to optimise production processes, reduce waste, and improve resource efficiency, all while supporting sustainability goals. This focus on clear, actionable insights quickly garnered attention from major industrial players.

By 2022, Fero Labs had demonstrated its efficacy in the field with notable success stories. The company’s clients, including prominent firms such as Covestro AG, Gerdau Sociedade Anônima, and Grupo Celsa’s Celsa Nordic, realised substantial savings, exceeding $20 million, and significantly reduced their carbon emissions by around 100,000 tons. These results showcased the platform’s capability to drive both economic and environmental benefits, reinforcing its value proposition in the market.

In 2024, Fero Labs achieved a significant milestone by being recognised as a Technology Pioneer by the World Economic Forum (WEF). This accolade underscored the company’s commitment to advancing sustainable industrial practices through its explainable AI technology. The recognition also positioned Fero Labs within an exclusive global community of innovators dedicated to addressing critical challenges in their respective fields.

The company continued to expand its influence and capabilities by securing a $15 million growth funding round led by Climate Investment, bringing its total funding to $30 million. This investment was aimed at accelerating the development of new sustainability features and further enhancing the platform’s adoption across key industries. 

Fero Labs’ strategic focus on leveraging AI to enhance industrial efficiency aligns with broader trends in Industry 4.0, where digital transformation is becoming increasingly critical. The company’s commitment to reducing carbon emissions and improving manufacturing processes reflects its role in supporting the global shift towards more sustainable practices.
Throughout its journey, Fero Labs has demonstrated a clear commitment to integrating advanced machine learning with practical industrial applications. The company's growth and achievements highlight its pivotal role in advancing industrial optimisation and contributing to global efforts in environmental sustainability. As it continues to innovate and expand, Fero Labs remains at the forefront of leveraging technology to address some of the most pressing challenges facing the manufacturing sector today.

Fero Labs is dedicated to revolutionising industrial process optimisation through advanced white-box contextual machine-learning technology. The company's mission is to empower industries with transparent and actionable insights that enhance performance, reduce costs, and lower emissions. By providing a clear and explainable approach to data analysis, Fero Labs aims to enable organisations to achieve greater efficiency and sustainability in their operations.

Fero Labs envisions a future where industrial processes are seamlessly optimised through intelligent, explainable AI. The company aspires to lead the transformation of manufacturing by driving innovations that improve operational efficiency, reduce environmental impact, and promote sustainable practices. Fero Labs seeks to set new standards in the industry, fostering a more intelligent and eco-friendly approach to manufacturing.

Fero Labs’ Industrial Intelligence Solutions represents a significant advancement in process optimisation. By integrating sophisticated machine learning with a clear, explainable interface, the platform delivers tangible benefits in performance enhancement, cost reduction, and emission control, supporting the move towards more efficient and sustainable manufacturing practices.

Industrial Intelligence Solutions with Fero Labs: Fero Labs provides advanced industrial intelligence solutions designed to optimise manufacturing processes by integrating cutting-edge white-box contextual machine learning technology. The platform creates a virtual replica of your industrial processes, allowing for detailed simulations and the application of actionable insights to enhance performance, reduce costs, and lower emissions concurrently.

Fero Labs’ Industrial Intelligence Solutions represents a significant advancement in process optimisation. By integrating sophisticated machine learning with a clear, explainable interface, the platform delivers tangible benefits in performance enhancement, cost reduction, and emission control, supporting the move towards more efficient and sustainable manufacturing practices.

Industrial Intelligence Solutions with Fero Labs: Fero Labs provides advanced industrial intelligence solutions designed to optimise manufacturing processes by integrating cutting-edge white-box contextual machine learning technology. The platform creates a virtual replica of your industrial processes, allowing for detailed simulations and the application of actionable insights to enhance performance, reduce costs, and lower emissions concurrentlyz
 

Boost Performance: Traditional process optimisation tools like Excel and Six Sigma have long been standards in industrial settings. However, these methods struggle to keep pace with the complexity of modern manufacturing environments where data is generated at an unprecedented rate. Fero Labs’ AI platform addresses this challenge by offering a more scalable solution. Unlike conventional methods, which can be limited in handling complex datasets, Fero Labs provides a robust mechanism to achieve peak performance. The platform connects key team members and enables the simulation and optimisation of processes to identify and eliminate bottlenecks, reduce cycle times, and improve throughput. This comprehensive approach not only enhances performance but also preserves a valuable playbook of knowledge for future reference.

Reduce Costs: Fero Labs’ platform is adept at uncovering opportunities to reduce waste and cost. Its white-box contextual machine-learning approach offers a transparent view of the underlying processes, which allows users to pinpoint and address inefficiencies with remarkable speed. Compared to traditional methods, which can be time-consuming and less precise, Fero Labs helps identify and mitigate inefficiencies up to 90 times faster. Key areas of cost reduction include energy consumption, raw material use, and scrap generation. The platform’s ability to deliver insights rapidly and transparently enables organisations to make informed decisions that contribute to substantial cost savings.

Reduce Emissions: Fero Labs champions the concept of "Profitable Sustainability," which involves reducing emissions while simultaneously lowering costs. By leveraging predictive analytics and simulating processes, the platform identifies inefficiencies and optimises production to minimise waste. This not only maximises the use of raw materials and improves batch cycle times but also contributes to energy savings and a reduced carbon footprint. The white-box machine learning approach ensures that actionable insights are provided clearly and understandably, allowing users to target emissions effectively without compromising product quality. Traditional process optimisation tools like Excel and Six Sigma have long been standards in industrial settings. However, these methods struggle to keep pace with the complexity of modern manufacturing environments where data is generated at an unprecedented rate. Fero Labs’ AI platform addresses this challenge by offering a more scalable solution. Unlike conventional methods, which can be limited in handling complex datasets, Fero Labs provides a robust mechanism to achieve peak performance. The platform connects key team members and enables the simulation and optimisation of processes to identify and eliminate bottlenecks, reduce cycle times, and improve throughput. This comprehensive approach not only enhances performance but also preserves a valuable playbook of knowledge for future reference.

Reduce Costs: Fero Labs’ platform is adept at uncovering opportunities to reduce waste and cost. Its white-box contextual machine-learning approach offers a transparent view of the underlying processes, which allows users to pinpoint and address inefficiencies with remarkable speed. Compared to traditional methods, which can be time-consuming and less precise, Fero Labs helps identify and mitigate inefficiencies up to 90 times faster. Key areas of cost reduction include energy consumption, raw material use, and scrap generation. The platform’s ability to deliver insights rapidly and transparently enables organisations to make informed decisions that contribute to substantial cost savings.

Reduce Emissions: Fero Labs champions the concept of "Profitable Sustainability," which involves reducing emissions while simultaneously lowering costs. By leveraging predictive analytics and simulating processes, the platform identifies inefficiencies and optimises production to minimise waste. This not only maximises the use of raw materials and improves batch cycle times but also contributes to energy savings and a reduced carbon footprint. The white-box machine learning approach ensures that actionable insights are provided clearly and understandably, allowing users to target emissions effectively without compromising product quality.