Artificial intelligence (AI) is steadily moving from experimentation to practical deployment in tyre manufacturing, where complex processes and variable raw materials often limit the effectiveness of fixed production standards. By analysing large volumes of plant data and responding to real-time process conditions, AI-driven optimisation systems are helping manufacturers improve efficiency, reduce waste and stabilise product quality. In an interaction with Tyre Trends, Vincent Barjaud of Braincube explains how such systems are transforming key production stages including mixing, extrusion and curing while complementing operator expertise.

The tyre industry indeed depends heavily on raw materials with significant variability, particularly those derived from natural sources and petrochemicals. These materials change over time and therefore are not always consistent in terms of quality and performance. Because industrial processes operate under constantly changing conditions, fixed production standards often create a hidden performance ceiling. Systems capable of adapting to real-time conditions allow plants to consistently reach the best achievable operating point.

Artificial Intelligence (AI) is helping manufacturers move beyond fixed production standards towards more adaptive approaches. Real-Time Process Optimisation (RTPO) processes historical and real-time plant data to continuously adjust operating setpoints based on live process conditions. By responding to variability in raw materials, equipment behaviour and operating environments, RTPO enables plants to consistently operate closer to their optimal performance point.

Speaking exclusive to Tyre Trends on the integration of AI, Technical Partner Manager at France-based Technology firm Braincube, Vicent Barjaud, said, “Our AI-driven solution provides real-time process optimisation by recommending the exact action operators should take, on which actuator and at what moment. Instead of suggesting a broad operating range, the system recommends the precise optimal value in real time. Because operating context evolve during production, this optimal value may change within hours. The system continuously adapts to these changes to maintain optimal performance.” The company devises solutions to address the entire tyre manufacturing process, but the software is particularly effective in compound mixing, extrusion and curing, where material transformation through machine actuation makes these stages highly process-oriented and suitable for optimisation.

The implementation typically takes six to twelve weeks from project kick-off to go-live. During this phase, plant data sources are connected and structured for AI analysis without requiring access to confidential compound formulations.

Since most industrial players maintain historical data through data historians, this data is injected into the system, enabling real-time optimisation and recommendations from day one, and in rare cases where no historical data exists, a few weeks are required to gather sufficient operational data.

The solution can be implemented in any plant equipped with PLC-based automation systems, while additional digital systems such as MES, ERP or LIMS improve recommendation accuracy, although valuable real-time operator guidance can still be delivered with only historian data and basic inputs.

ROOM FOR IMPROVEMENT

According to Barjaud, one of the biggest opportunities for improvement lies in the uniformity of the final tyre, particularly during quality control at the end of production. This is largely due to the curing stage.

“Plants often operate dozens of different curing moulds. Each mould functions as an individual asset, but many manufacturers treat them as if they were identical. In reality, each mould behaves slightly differently, which can affect tyre uniformity. Recognising and optimising these individual differences can significantly improve efficiency and product consistency,” he added.

It is considered beneficial to treat each curing mould individually because every mould has distinct characteristics including differences in lifetime, behaviour, wear patterns, maintenance history and the time since its last servicing.

When moulds are treated as identical, these variations are overlooked. By managing each mould separately rather than as part of a uniform group, process optimisation can be achieved more precisely, resulting in improved efficiency and performance.

“Strong optimisation results have also been observed in extrusion, where start-up phases of new process orders typically generate scrap as the first few metres of material are discarded before reaching a steady state. By adjusting process parameters more precisely, the time required to reach this steady state can be reduced, thereby lowering start-up waste,” noted Barjaud.

Braincube’s optimisation approach works similarly to navigation apps such as Waze or Google Maps, which continuously adjust routes based on real-time traffic conditions to reach a destination faster.

In the same way, Braincube dynamically updates manufacturing parameter recommendations as process conditions change. Similar to navigation applications such as Waze or Google Maps, the system continuously adjusts the optimal ‘route’ for the process as new conditions emerge.

The approach also applies to extrusion processes, where significant material waste often occurs during machine ramp-up. By helping operators set the correct parameters from the first seconds of operation, the company reduces the amount of material that must be scrapped at start-up.

INTO MANUFACTURING

Braincube works with tyre plant engineering teams to define ideal performance targets such as acceptable tyre uniformity ranges. It analyses production data to identify the actuators and operating conditions that drive optimal results and provides real-time insights to operators so processes can be adjusted to keep tyres within the desired ‘super zone’ of uniformity.

In mixing, its system addresses inefficiencies during product changeovers. Since the first batch after a changeover starts under different conditions such as temperature, roll distance and machine state, it separates the recipe for the first batch from subsequent batches, ensuring consistent viscosity and composition while reducing the higher scrap rate typically seen in the first batch.

For curing, Braincube performs real-time optimisation by adjusting parameters such as steam injection, temperature and curing duration based on the specific mould and its operating conditions. It also helps extend mould lifetime by identifying moulds that can safely operate beyond the usual maintenance threshold of around 3,000 tyres, potentially extending their life by 20–50 percent.

Overall, waste reduction comes from replacing fixed production standards with dynamic optimisation, where the system continuously analyses real-time conditions and recommends adjustments to recipes and operating parameters, improving efficiency while lowering scrap and environmental impact.

“In one case with a top-five global tyre manufacturer that deployed Braincube across its factories, we observed waste reduction of around 70 percent during the extrusion start-up phase. This level of improvement can significantly reduce both material losses and production costs,” noted Barjaud.

MACHINE NEEDS MAN

Braincube approaches root-cause analysis by identifying the drivers of success rather than only analysing defects. Instead of focusing solely on scrap and deviations, the system studies past production data to determine the conditions under which the best tyres were produced.

By analysing the highest-performance production runs including machines, operators, raw materials and process conditions, it identifies the key factors behind superior performance and recommends settings that help replicate those results consistently.

Installing Braincube mainly involves resolving material traceability across the plant. During a six-to-twelve-week integration phase, the system connects to existing data sources and reconstructs where each product was at specific times in the factory.

Once this mapping is completed, Braincube can continuously process data and perform automated optimisation. Plants with strong traceability systems integrate more easily, while others may require certain assumptions during setup.

“Our solution’s recommendations typically achieve more than 90 percent accuracy, but the system is designed to assist operators rather than automatically enforce actions. Operators receive recommendations but remain fully in control of whether to apply them. If a recommendation is rejected, the system immediately recalculates a new suggestion based on the updated operating conditions,” explained Barjaud.

He added, “This human oversight is important because some real-world conditions may not be captured in the dataset. For example, a lower operating temperature may have produced good results in the past because a machine door was open, affecting process conditions. If that factor was not recorded by sensors, the system may initially recommend the same temperature again even though the door is now closed. In such cases, operators can reject the suggestion, ensuring that AI insights are balanced with practical judgment.”

Barjaud contended that operator expertise remains essential when using AI systems. While the system provides data-driven recommendations, experienced operators play a critical role in deciding whether to apply them.

Their deep understanding of the process ensures that AI insights are used appropriately, making the combination of human expertise and AI analysis key to achieving the best production results.

IMPLEMENTATION AND SAFETY

The company also partners with machine manufacturers through white-label agreements, allowing them to offer Braincube-powered optimisation services alongside their equipment. This enables customers to benefit not only from the machinery itself but also from continuous performance optimisation.

In the tyre industry, Braincube currently focuses on mixing, extrusion and curing and still sees major opportunities to expand optimisation in these processes. Even when analysing a specific stage such as curing or tyre uniformity, the system incorporates data from upstream operations like building and other production steps to understand the factors affecting final performance.

The emphasis on optimisation ultimately centres on the final KPI, since this reflects what customers pay for, which is finished tyre quality and uniformity. By integrating data from across the entire plant including upstream processes and raw materials, Braincube helps manufacturers consistently meet required product performance standards.

Also, many tyre makers have more than one manufacturing unit. Integrating Braincube’s solution across each one requires a simple collaborative excursive involving the French company’s team and a ‘Champion’.

“Most companies appoint a champion or a dedicated engineer responsible for replicating successes across plants. This person ensures that the best practices identified in one plant are standardised and implemented across other facilities,” explained Barjaud.

He added that companies usually deploy Braincube as a technical solution while also establishing a human organisational structure to drive replication and standardisation. The combination of technology and internal leadership ensures that improvements are scaled across multiple plants.

Besides, data security is a top priority for Braincube, especially because industrial manufacturing data is highly sensitive. The system complies with major cybersecurity standards such as ISO 27001 and SOC 2, and in its 18 years of operation, it has never experienced a data breach.

The company regularly conducts external penetration tests, maintains a dedicated cybersecurity team and operates under the supervision of a Chief Information Security Officer (CISO) responsible for vulnerability management and system protection.

Regarding concerns about job replacement, Barjaud reported little resistance from engineers or operators. “Industrial environments have evolved through successive technological stages, from manual decisions to PLCs, closed-loop control, advanced process control and now AI. In this context, AI is generally viewed as the next step in improving efficiency, helping people make better decisions rather than replacing them,” he noted.

MARKET VIEW

Braincube operates globally with a full operational office in Europe but also has offices in United States and Brazil, which has supported the Latin American market for about 15 years.

From Europe, the company manages both European and Asian markets and works with several software distribution partners worldwide including in Thailand, India, Poland, Germany, Spain, Switzerland, UK and Italy, collaborating with firms such as Ematica to deliver and integrate its solutions.

In Asia, particularly in India and Southeast Asia, Braincube mainly relies on local partners rather than establishing its own offices. These partners, often industrial software distributors already working with automation systems, MES platforms and data historians such as AVEVA, handle integration and customer engagement.

The company is also engaging with new tyre manufacturers in Asia, typically through those partners who add Braincube’s AI-driven optimisation to their existing portfolios of PLC, SCADA and MES solutions.

Concluding the interaction, Barjaud pointed out that one of the biggest challenges for AI providers in the tyre industry is balancing multiple objectives such as throughput, energy consumption, material usage and product quality. n

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As India’s industrial sector accelerates its shift towards cleaner energy, tyre manufacturers are emerging as a critical test case for integrating renewable power into continuous, high-load operations. In this conversation, Kuldeep Jain, Founder and Managing Director of CleanMax, outlines how demand from companies such as CEAT and Michelin is reshaping renewable procurement – from conventional solar contracts to hybrid, round-the-clock solutions – while positioning clean energy as both an operational necessity and a strategic lever for decarbonisation.

Industrial decarbonisation in India is entering a more operational phase, where renewable electricity is no longer a peripheral lever but an embedded component of manufacturing strategy. For CleanMax, this shift is most visible in energy-intensive sectors such as tyre manufacturing, where continuous processes, global supply-chain pressures and ESG commitments are converging to reshape how power is procured and consumed.

Kuldeep Jain, Founder and Managing Director of CleanMax, describes a market moving beyond cost arbitrage towards structural integration of clean energy. Demand from tyre manufacturers – long characterised by high, stable electricity loads – is now influencing both project design and procurement models, pushing developers towards hybrid and round-the-clock renewable solutions. 

Energy-intensive industries are increasingly prioritising renewable electricity to manage power costs and reduce operational emissions. Manufacturing sectors with continuous loads are particularly suited to long-term renewable procurement models such as group captive and open-access PPAs, which provide cost stability while supporting decarbonisation goals,” Jain says.

That demand is already translating into project pipelines. CleanMax’s collaboration with CEAT involves developing 59 MW of hybrid wind-solar capacity to supply renewable power to its Halol and Kanchipuram plants. Similarly, its engagement with Michelin includes an open-access solar power purchase agreement supporting operations at the company’s Chennai facility.

“These projects illustrate how large industrial consumers are integrating renewables into their long-term energy strategy. For instance, globally, the International Energy Agency has already noted that industrial electrification and renewable procurement will drive the next phase of the energy transition. Tyres are firmly in that wave,” Jain notes.

FROM INTERMITTENT SUPPLY TO ENGINEERED RELIABILITY

Tyre manufacturing presents a distinctive challenge for renewable integration. Plants operate continuous processes – mixing, curing and vulcanisation – that require stable baseload electricity and thermal energy. Traditional solar PPAs, while cost-effective, are inherently intermittent, limiting their suitability for such operations.

The industry is therefore evolving towards hybrid models that combine multiple renewable sources. “Hybrid projects are gaining traction because they smooth generation across the day, improving plant load factors,” Jain says. According to the International Renewable Energy Agency, such hybrid systems are among the fastest-scaling formats for industrial decarbonisation.

“As a result, the industry is moving beyond single-source solar PPAs towards wind-solar hybrid projects and open-access group captive models that provide higher plant load factors and more balanced generation profiles across the day. Wind-solar hybrid is increasingly seen as the most practical and efficient pathway to scale renewable penetration in continuous manufacturing environments,” Jain explains.

This shift reflects a broader reframing of renewables – not as intermittent substitutes for fossil fuel power but as engineered systems tailored to industrial demand curves. The emphasis is on aligning generation profiles with consumption patterns, rather than expecting operations to adapt to variable supply.

SECTOR-SPECIFIC DECARBONISATION PATHWAYS

Not all heavy industries decarbonise along the same trajectory. Jain draws a clear distinction between tyre manufacturing and sectors such as cement or steel, where process emissions form a significant share of the carbon footprint.

“If you step back, industries don’t decarbonise in the same way because they don’t consume energy in the same way. A tyre plant is largely powered by electricity. So if you clean up the electricity, you’ve already addressed a meaningful part of its emissions,” he says.

However, the challenge lies in reliability. “These are continuous operations. They don’t switch off when the sun sets or the wind drops. That’s why hybrid becomes important, as a way of shaping energy to demand,” Jain adds.

“In case of cement or steel, a significant portion of emissions comes from how the product itself is made. So the shift we’re seeing is subtle but important. It’s about redesigning the energy profile itself so that clean energy isn’t intermittent in theory but dependable in practice,” he continues.

The implication is that electrification-driven sectors such as tyre manufacturing can achieve faster decarbonisation gains through renewable procurement, provided supply reliability is addressed through hybridisation and system design.

ESG, PRODUCT STRATEGY AND COMPETITIVE POSITIONING

Renewable energy is also assuming a more strategic role within tyre companies’ ESG frameworks. What began as a cost-management exercise is increasingly tied to product innovation, sustainability reporting and global competitiveness.

“The conversation around renewable energy in the tyre industry has clearly evolved beyond cost optimisation. Many manufacturers are increasingly integrating renewable power into their broader ESG strategies and supply-chain decarbonisation commitments, particularly as global automotive OEMs push for lower-carbon sourcing across the value chain,” Jain says.

This transition is evident at the product level. CEAT’s launch of its SecuraDrive CIRCL tyre – produced with up to 90 percent sustainable materials – signals how manufacturers are aligning product design with sustainability objectives.

“Renewable electricity procurement helps reduce Scope 2 emissions and supports the development of lower-carbon products, which is becoming an important factor in both sustainability reporting and global competitiveness. As a result, renewable energy is now seen not only as a cost-management tool but also as a strategic lever for product decarbonisation and ESG positioning,” Jain explains.

TECHNOLOGY MIX AND OPERATIONAL ALIGNMENT

From a systems perspective, no single technology provides a complete solution. CleanMax advocates a portfolio approach that combines generation assets with digital tools and flexible contracting structures.

“A portfolio approach works best. For manufacturing operations with steady electricity demand, hybrid renewable systems combining solar and wind have proven effective, as the complementary generation profiles improve overall availability and plant load factors,” Jain says.

Digital energy management platforms play a supporting role by optimising dispatch and aligning supply with consumption patterns. Flexible procurement structures, including open-access and group captive models, further enhance adaptability across sites and regulatory regimes.

“In practice, hybrid setups combining solar and wind have proven effective because they smooth generation across the day and improve overall availability. That’s what makes renewable power usable at scale,” Jain adds.

The CEAT and Michelin projects exemplify this approach, integrating multiple procurement pathways – onsite solar, offsite generation and open-access PPAs – to increase renewable penetration without compromising operational stability.

POLICY VARIABILITY AND MULTI-LOCATION STRATEGIES

India’s regulatory landscape remains heterogeneous, with state-level policies shaping the feasibility and economics of renewable procurement. For tyre manufacturers operating across multiple locations, this creates both complexity and opportunity.

“Overall, the ecosystem is steadily evolving to support higher renewable penetration practically. Open-access mechanisms are becoming more aligned with industrial needs. Renewable procurement is naturally becoming more location-specific,” Jain says.

Different state frameworks enable companies to tailor their energy mix – combining onsite solar with offsite wind or solar depending on regional resource availability and regulatory incentives.

“In practice, this leads to more balanced and resilient energy portfolios. This is also where developers with experience across markets can add value by structuring solutions that are aligned to each site’s load profile, regulatory context and long-term cost objectives, rather than taking a one-size-fits-all approach,” Jain explains.

GLOBAL SUPPLY CHAINS AND RISING EXPECTATIONS

Pressure from global automotive OEMs is accelerating the adoption of renewable energy in India’s tyre sector. As manufacturers integrate more deeply into international supply chains, emissions performance is becoming a criterion for sourcing decisions.

“As tyre manufacturers become more integrated with global OEM supply chains, expectations around emissions are becoming more defined. Renewable electricity is one of the more immediate ways to address this, especially for Scope 2 emissions,” Jain says.

“What we’re seeing is more about alignment – companies are adapting their energy mix to stay relevant in global markets, where sustainability is increasingly part of how sourcing decisions are made,” Jain says.

This dynamic is likely to intensify as OEMs tighten decarbonisation targets and extend accountability across their value chains, reinforcing the role of renewable energy in industrial competitiveness.

THE NEXT FRONTIER: TRACEABILITY AND CARBON MARKETS

As companies move towards net-zero targets, the focus is broadening beyond direct emissions to include value-chain impacts and verification mechanisms.

“Instruments such as renewable energy certificates and carbon markets help companies transparently account for the renewable electricity they procure. At the same time, there is growing focus on Scope 3 reporting as manufacturers work to address emissions across their broader value chains and align with global supply-chain decarbonisation expectations,” Jain says.

Traceability – ensuring that renewable energy claims are verifiable and auditable – is expected to become increasingly important, particularly for export-oriented manufacturers facing stringent disclosure requirements.

A DECADE OUTLOOK: ACHIEVABLE, BUT CONDITIONAL

Looking ahead, Jain is cautiously optimistic about the pace of renewable adoption in India’s tyre manufacturing sector. The fundamentals – declining costs, expanding capacity and supportive policy evolution – are largely in place.

“Over the next decade, higher renewable penetration in tyre manufacturing is well within reach, especially as clean power availability continues to expand. For electricity-led operations, increasing the share of renewable energy is already a practical pathway, not a distant target,” he says.

However, execution will hinge on system-level factors. “What will make the difference is how reliably this power can be integrated at scale – through consistent open-access frameworks, stronger grid alignment, and wider use of hybrid solutions that better match continuous industrial demand,” Jain says.

The trajectory is clear: renewable energy in tyre manufacturing is transitioning from opportunistic adoption to structural integration. For developers such as CleanMax, the challenge – and opportunity – lies in engineering solutions that convert intermittent resources into dependable industrial infrastructure.

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Wallace Instruments, a globally recognised leader in rubber testing equipment, has expanded its United Kingdom-manufactured specimen preparation lineup with the launch of the WAS3 Pneumatic Cutting Press. The new device joins the company’s range of rubber testing equipment.

Unlike manual cutting methods, pneumatic systems apply consistent force on every cycle, eliminating operator fatigue and variability. Poorly prepared specimens with uneven edges or internal stress can compromise test accuracy, while the pneumatic approach also reduces repetitive physical strain, supporting technician wellbeing during long production runs.

The WAS3 prioritises safe single-operator use through a two-button activation system requiring both buttons to be pressed within half a second, preventing any hand contact with the cutting area. Additional three-sided protective guards further enhance operational safety.

Delivering 15 kN of cutting force, the press easily cuts through 10-mm thick, 95 Shore A rubber sheet using five bar of filtered air pressure. It works with existing Wallace cutting dies, so laboratories can integrate the unit without replacing current tooling, and its compact footprint suits both lab and production environments.

Chris Norval, Managing Director, Wallace Instruments, said, "Specimen preparation is the foundation of accurate rubber testing. With the WAS3, we focused on practical safety, dependable cutting performance and drop-in compatibility. Labs get a compact pneumatic press that fits the air lines already in place, uses their current Wallace dies and delivers consistent results for every operator – because when specimen quality is controlled, you can have confidence in the results that follow."

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DUNLOP (company name: Sumitomo Rubber Industries, Ltd.) has teamed up with Fujitsu Limited to create an artificial intelligence (AI) surrogate model that predicts tyre performance rapidly and with high precision. The breakthrough was validated in a proof of concept tied to DUNLOP’s digital transformation strategy. When applied to tyre deformation upon road contact, the technology slashed analysis time by 90 percent, from 45 minutes to just 5 minutes while processing nearly 600,000 mesh elements.

Based on these results, both firms will build a design support tool, aiming for deployment at DUNLOP by April 2027. The system runs on FUJITSU MONAKA, a next-generation energy efficient Arm-based CPU.

Tyre design typically relies on finite element method (FEM) analysis, where finer mesh grids boost accuracy but increase calculation time and costs. To tackle this, the partners developed an AI surrogate model that solves FEM equations using past data. The model, based on the Graph Neural Network algorithm, predicted contact shape with 87.7 percent accuracy, enabling faster decisions and lower costs.

Select findings will be shared at the 31st Computational Engineering Conference starting 3 June 2026. By December 2026, both companies will test the model on a FUJITSU MONAKA prototype to refine speed and power use.

Under its long-term strategy R.I.S.E. 2035, DUNLOP seeks to provide new experiential value from rubber. Through this co creation, the tyre maker will enhance its analytical technologies and strengthen innovation. Fujitsu will promote this approach across large scale FEM analysis in automotive and other manufacturing sectors, contributing to carbon neutrality via an AI platform combining FUJITSU MONAKA and GNN.

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Starrett-Bytewise has appointed GL Inspect GmbH as its new European sales representative. The German firm, led by Christian Lantzsch and based in Hargesheim, will oversee regional operations. The partnership aims to provide local expertise for demanding measurement challenges across tyre plants, steel mills and extrusion lines.

Lantzsch and the GL Inspect team bring a sophisticated understanding of non-contact metrology. Their technical background aligns with the diverse industrial sectors served by Starrett-Bytewise, ensuring that European customers receive support tailored to specific materials and production environments. The collaboration strengthens local technical knowledge and on-site application assistance.

Under this agreement, European customers gain direct access to local consultations and expanded on-site evaluations led by Lantzsch’s team. Laser measurement solutions can be better integrated into individual production lines. The partnership also streamlines communication and support, building on existing European infrastructure to enable seamless transitions to automated in-line inspection.

The appointment represents a significant investment in European infrastructure. Having GL Inspect on the ground shortens the distance between Starrett-Bytewise’s U.S. engineering team and local factory floors. Faster application assessments, more frequent site visits and industry-specific language support are key outcomes of the new arrangement.

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