Bharat Forge Announces Results For Q1 FY25; Defense and Oil & Gas Sectors Do Well

Bharat Forge Announces Results For Q1 FY25; Defense and Oil & Gas Sectors Do Well

Recording a consolidated revenue for the first quarter of FY2024-25 at INR 41.06 million as compared to INR 38.77 million in the corresponding period last fiscal, marking an increase of 5.9 percent, Bharat Forge experienced substantial contribution from defense sector and the oil and gas sector. 

In its BSE filing, the group has mentioned that its Ebitda grew by 22.8 per cent Y-o-Y to Rs 760 crore in Q1FY25. Recording a 10 percent (year-on-year) rise in revenue from operations on a standalone basis, the group recorded a profit-after-tax (PAT) of INR 26,94 million in Q1 FY2024-25 as compared to 31,14 million in the corresponding period last fiscal, an increase of 13.5 percent. 

Securing new orders worth Rs 9.8 million across the defense, ferrous and aluminum castings and core forging business segments, Bharat Forge’s defense business posted revenue of INR 6,42 million in Q1 FY2024-25, a year-on-year increase of 147 per cent. 

The group won orders worth INR 7,75 million. Its executable order book as of June 30 was for INR  54 billion. It consisted of orders such as artillery guns, vehicles and consumables. 

One of the leading forging companies in India and a global provider of high-performance, innovative, safety and critical components to sectors like automotive, railways, defense, construction and mining, aerospace, marine and oil and gas, Bharat Forge reported that its wholly owned subsidiary Kalyani Powertrain limited (KPTL) holds 64.29 percent equity shares of Tork Motors Pvt Ltd (TMPL) which is engaged in manufacturing electric bikes. It is part of a separate cash generating unit (CGU) as defined by Ind AS 36.

In light of recent developments in two-wheeler EV market and its adverse impact on TMPL operations, a provision for impairment of INR 1,517 million has been considered in consolidated financial statements of the company. Consequently, the Company has recorded provision for impairment of INR 1,456 million for investment in KPTL in the standalone financial statements for the period ended June 30, 2024. 

The group announced in its filing a fair value adjustment (loss) for investment In Tevva Motors Limited of INR 2,794 million (Standalone financial results) and INR 2,936 million (Consolidated financial results) through other comprehensive income for quarter and year ended 31 March 2024.

Horse Powertrain Launches V20 Engine Via Aurobay Technologies

Horswe V20 Engine

Horse Powertrain, a leading supplier of powertrain solutions, has launched the V20 engine through its Aurobay Technologies division with production already underway at its Skovde, Sweden, manufacturing facility.

The V20 engine aims to assist automakers in meeting emission regulations for 2026 and 2027 with units destined for customers in Europe, the US and Asia. The 2.0-litre, 4-cylinder engine features a single architecture offered in two variants: a 400-volt plug-in hybrid and a 48-volt mild hybrid. The plug-in version provides a reduction in fuel consumption of seven per cent compared to the predecessor.

The platform design intends to reduce material costs. Hardware for the plug-in variant includes a crankshaft-mounted starter-generator, a mechanical water pump, and a re-routed cooling system. Additional updates include a multi-injection fuel system, an engine management system, and an air induction system.

Ingo Scholten, Managing Director, Aurobay Technologies Sweden and Deputy CTO of Horse Powertrain, said, “Designing one engine to meet three different regulatory regimes is harder than designing three separate engines. As the regulatory map is fragmenting, one engine that meets all three sets of rules delivers greater value to our customers, ensuring we can offer greater economies of scale. Pulling that off requires serious engineering. Further, the Skovde team also successfully changed production lines while keeping current production running.”

The Skovde plant integrated a final assembly line with the base assembly line to improve material flow. This transition occurred during ongoing operations. Output is scheduled to increase through 2026 and 2027 to meet demand.

AEye And MoveAWheeL Ink MoU For Automotive Sensing Collaboration

aeye

AEye, Inc. and MoveAWheeL have signed a Memorandum of Understanding to explore the integration of their sensing technologies for use in Advanced Driver Assistance Systems (ADAS) and autonomous driving applications.

The partnership aims to combine AEye’s lidar perception with MoveAWheeL’s road-surface sensing to assist vehicles in interpreting surroundings and road conditions.

The collaboration will evaluate the pairing of AEye’s Apollo LiDAR sensor with MoveAWheeL’s friction-coefficient prediction technology. Apollo is a 1550-nanometer LiDAR sensor capable of detecting objects at distances of up to one kilometre. MoveAWheeL’s sensor uses acoustic sensing to estimate the friction of road surfaces, providing data to inform decisions regarding acceleration, braking and stability control.

Matt Fisch, Chairman and CEO of AEye, said, “Physical AI depends on giving machines the ability to accurately perceive and understand the real world. Apollo was designed to deliver long-range, real-time 3D perception that helps systems see farther and react earlier in complex environments. By exploring the integration of Apollo with MoveAWheeL’s road-surface intelligence, we have the opportunity to create an even deeper understanding of the driving environment, particularly in the adverse conditions where advanced safety systems are needed most.”

Dr. Min-Hyun Kim, Founder and CEO, MoveAWheeL, said, “While LiDAR provides the ‘eyes’ for a vehicle to see obstacles, MoveAWheeL provides the ‘tactile sense’ to feel the road. By integrating our Physical AI with AEye’s long-range perception, we are creating a complete safety stack that remains robust even in the most treacherous weather conditions.”

L&T Technology Services Opens Engineering Intelligence Centre Of Excellence In Europe

LTTS - EI CoE

L&T Technology Services (LTTS), a leading ER&D sevices company, has inaugurated its first Engineering Intelligence Centre of Excellence (EI CoE) in Munich, Germany. The facility marks a step in the company's Engineering Intelligence (EI) strategy, which focuses on embedding AI across the engineering lifecycle to support intelligent products, autonomous operations and manufacturing systems.

The centre aims to assist global enterprises in transitioning from AI experimentation to industrial transformation by combining domain engineering expertise with technologies such as GenAI, Agentic AI, multimodal AI, Physical AI and edge intelligence. LTTS states that it has filed over 237 patents in AI and GenAI during FY2026.

Located within a technology ecosystem, the Munich EI CoE will function as a collaborative hub for clients in the mobility, industrial products, sustainability and technology sectors. Its work will focus on: Applied AI solutions, Intelligent manufacturing, Software-defined products, Predictive operations and Connected engineering ecosystems.

At present, LTTS serves more than 60 clients in Europe with a team of over 4,500 engineers. The new centre is intended to improve local collaboration with clients, partners and academic institutions, facilitating outcome-driven innovation.

Amit Chadha, Chief Executive Officer & Managing Director, L&T Technology Services, said, “LTTS’ first EI Centre of Excellence in our Munich design centre is a milestone as it brings our deep-tech and EI-based solutions closer to the clients’ R&D hubs across the region. The centre will act as a focal point for innovation, R&D and new product development, redefining how products, platforms and manufacturing are engineered and optimised in the AI era.”

Stellantis Partners Accenture And Nvidia To Deploy Manufacturing Digital Twins

Stellantis - Accenture - Nvidia

European automaker Stellantis has announced a strategic initiative with Accenture to deploy artificial intelligence (AI)-enabled digital twin capabilities across its global manufacturing network using Nvidia technologies. The project focuses on creating virtual manufacturing environments powered by real-time data and physical AI.

The collaboration integrates Stellantis's automotive infrastructure, Accenture’s digital manufacturing engineering and Nvidia’s accelerated computing platforms and Omniverse libraries.

The system uses virtual factory replicas to validate manufacturing processes prior to physical installation, track metrics for quality control and conduct predictive monitoring.

Initial testing and deployment of the digital twin infrastructure are scheduled to begin with pilot programmes in North America in 2026. The long-term objective is to evaluate scalability across the carmaker's international plant footprint to establish a predictive manufacturing model.

Francesco Ciancia, Head of Manufacturing, Stellantis, said, “We are laying the foundation for the next generation of manufacturing at Stellantis. By combining digital twins, AI and advanced simulation, we are rethinking how we design, operate and continuously improve our production systems. This initiative is designed to work hand in hand with our teams, enhancing their ability to anticipate issues, enabling faster decisions and continuous improvement. Together with Accenture and NVIDIA, we are exploring new ways to drive more scalable and intelligent operations.”

Tracey Countryman, Supply Chain and Engineering Global Lead, Accenture, added, “The opportunity in manufacturing today is to scale AI across complex industrial operations in ways that deliver measurable business value. By partnering with Accenture and harnessing Nvidia’s compute and simulation technologies, Stellantis is positioned to accelerate manufacturing reinvention and lead the industry into a new era of intelligent, high-performance operations.”

The computational framework is built to enable closed-loop optimisation, a process where physical assembly lines and virtual systems continuously exchange data to improve performance. The architecture supports automated throughput adjustment, maintenance scheduling and software-defined factory operations.