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Startup Of The Week: Deep.Meta

Deep.Meta is a London-based AI startup focused on assisting steelmakers in reducing carbon emissions. Steel production is one of the most carbon-intensive industrial processes, contributing significantly to global CO₂ emissions. Deep.Meta aims to…

NBy Nathan ColeDec 08, 20252 min read

Deep.Meta is a London-based AI startup focused on assisting steelmakers in reducing carbon emissions. Steel production is one of the most carbon-intensive industrial processes, contributing significantly to global CO₂ emissions. Deep.Meta aims to enhance furnace efficiency to minimize energy waste. Its primary product, Deep.Optimiser PhyX, utilizes AI to optimize furnace operations in real-time, resulting in substantial energy savings.

Established in 2020 by Dr. Osas Omoigiade, Deep.Meta is an AI startup dedicated to increasing the energy efficiency of steelmaking operations. The core technology, Deep.Optimiser PhyX, employs machine learning to assist steel plants in reducing waste, energy consumption, and CO₂ emissions.

The software creates a digital twin of the furnace using sensor data, enabling steelmakers to simulate operational changes to identify improvements in efficiency. This method not only enhances energy savings but also increases overall operational efficiency without significant technological overhauls.

Deep.Meta is noted for its application of AI in digital modeling of physical machinery. Unlike other AI solutions, Deep.Optimiser PhyX integrates machine learning informed by physics to provide actionable insights. The platform leverages existing plant data to make recommendations, allowing companies to enhance efficiency without investing in new hardware, thereby reducing material waste.

Deep.Meta is a London-based AI startup focused on assisting steelmakers in reducing carbon emissions.
Nathan Cole · Thehackingpost

Market Potential for AI in the Steel Industry

The steel industry is crucial to the UK economy but is also responsible for substantial carbon emissions. In 2024, the UK steel sector contributed £1.7 billion, with products serving various industries such as construction, energy, transport, and defense. Reducing emissions is a primary challenge, given the high energy costs associated with steel production.

Deep.Meta addresses these challenges by optimizing energy usage and minimizing waste without necessitating costly upgrades. Trials at Spartan UK demonstrated a 10% reduction in emissions, a 24 kWh per tonne decrease in energy use, and a 20% improvement in productivity. If globally adopted, it could potentially eliminate up to 500 megatonnes of CO₂ annually.

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For more information about Deep.Meta's solutions for enhancing productivity and sustainability in the steel industry, visit their website .

Based on reporting by techround.co.uk.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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