Anyline, a global leader in AI-powered mobile data capture, is disrupting industries by enabling instant scanning of everyday data with smartphones.

In an era where data is king, Vienna-based Anyline aims to carve out a significant niche, transforming everyday data capture into a seamless, mobile-first experience. What began as a computer vision research project, exploring the intricate ways machines could ‘see and interpret the world’, has blossomed into a global commercial platform.

This evolution was driven by a clear recognition of how urgently businesses across various sectors needed reliable, efficient and mobile-first data capture solutions. Anyline’s innovative approach now empowers frontline workers across diverse industries, from the complexities of logistics and the precision of manufacturing to the dynamic environments of retail and public safety and, notably, the high-stakes world of the automotive sector.

“Anyline was founded with the vision of making everyday data – like barcodes, serial numbers, IDs and tyre codes – instantly scannable using nothing more than a smartphone,” explained Peio Elustondo, VP of Inside Sales and Growth Marketing at Anyline. “We quickly saw how urgently businesses needed reliable, mobile-first data capture. The demand was undeniable, and our technology provided a straightforward, scalable answer.”

The company’s advanced AI-powered technology is now extensively deployed in over 100 countries, serving a distinguished roster of leading brands such as Discount Tyre, a giant in the automotive aftermarket; PepsiCo, a global food and beverage leader and IBM, a technology and consulting powerhouse. Elustondo highlighted their core mission, which remains steadfast despite their expansive growth, “Whether it’s helping technicians inspect tyres, retailers manage inventory or police verify vehicle data, our mission remains the same: to empower frontline workers with smart, scalable technology that makes everyday tasks faster, more accurate and more efficient. We believe in putting powerful tools directly into the hands of those on the ground, enabling them to work smarter, not harder.”

Anyline’s global footprint and tangible impact speak volumes, with millions of scans performed each month and a continuously expanding ecosystem of enterprise partners who place their trust in its software to digitise critical operations in the field, at the point of action.

REVOLUTIONISING TYRE INSPECTIONS WITH TIREBUDDY

One of Anyline’s most impactful and strategically significant innovations in the automotive space is TireBuddy, a dedicated mobile application meticulously designed to streamline the often-cumbersome process of tyre inspections. Traditional manual methods, which have long been the industry standard, are frequently plagued by inconsistencies, subjective interpretations and outright errors. These issues present a significant and persistent challenge for businesses striving for efficiency and accuracy.

“Tyre inspections are often manual, time-consuming and prone to errors – from misreading DOT codes to inconsistent tread depth checks,” Elustondo noted, painting a clear picture of the industry’s struggle and underscoring the dual nature of the problem. “The challenge is not only speed but also standardisation. Without reliable digital tools, even experienced technicians can struggle to deliver consistent results, especially under pressure or in high-volume environments.”

TireBuddy directly and comprehensively addresses these pain points, bringing powerful, AI-driven capabilities directly to the workshop floor, all without the need for expensive, dedicated hardware.

“It was built specifically for the needs of independent tyre dealers and service teams who want to modernise their workflows without investing in costly hardware or infrastructure,” Elustondo stated, highlighting the app’s accessibility and cost-effectiveness. The app empowers technicians to effortlessly scan and capture crucial data points such as DOT codes, tyre size, brand and Vehicle Identification Numbers (VINs) instantly.

Furthermore, TireBuddy provides precise tread depth measurements through a guided mobile workflow, ensuring that tyre health is assessed consistently and accurately, eliminating the need for traditional, often inaccurate, physical gauges. Remarkably, all of this critical data capture and verification happens in under a minute per tyre, with the results being rigorously AI-verified for unparalleled accuracy and reliability.

“All of this happens in under a minute per tyre and the results are AI-verified for accuracy and reliability,” Elustondo confirmed, emphasising the speed and precision that define TireBuddy.

He then explained the broader and more profound benefits that extend far beyond mere operational efficiency, “Beyond just speed and convenience, the true value of TireBuddy lies in what it unlocks. It gives technicians a digital record of each tyre’s condition, streamlines compliance documentation and enables more transparent conversations with customers about when a tyre truly needs to be replaced. This boosts customer trust and opens the door to more confident service recommendations.”

This digital record not only enhances internal record-keeping but also serves as a powerful tool for customer education, allowing technicians to visually demonstrate wear and tear and clearly justify service recommendations, thereby fostering greater confidence and loyalty. Because TireBuddy is mobile-based and cloud-connected, it also integrates seamlessly into existing backend systems – whether those are inventory management platforms, Customer Relationship Management (CRM) tools or point-of-sale systems. For businesses, this translates into a cascade of benefits, superior data quality, a significant reduction in manual errors and enhanced overall efficiency across their entire operational spectrum. Ultimately, TireBuddy empowers tyre shops of all sizes, from small independent garages to large chains, to offer a more modern, professional and data-driven customer experience – a capability that is fast becoming essential in today’s increasingly competitive and digitised service landscape.

ACCURACY AND IMPACT ACROSS INDUSTRIES

Anyline claims its AI-powered visual inspection offers a significant and demonstrable leap in consistency and reliability when compared to traditional manual methods. The inherent variability in human performance, particularly in repetitive and detailed tasks, often leads to discrepancies.

“Manual inspections often vary from technician to technician, especially when it comes to tasks like reading DOT codes or estimating tread depth. Our technology standardises these processes, capturing data instantly and removing the risk of human error, typos or misinterpretation. This means every inspection, regardless of who performs it, adheres to the same high standard of accuracy,” said Elustondo.

While acknowledging that real-world factors such as challenging lighting conditions or extreme tyre wear can influence accuracy, he assured that “our tools are continuously trained and tested on a wide range of conditions to ensure performance is reliable in the environments where they’re used most. The result is not only faster inspections, but repeatable, verifiable outcomes that technicians and service managers can trust implicitly.”

The profound impact of solutions like TireBuddy is clearly evident in Anyline’s impressive client base, which spans a wide array of automotive industry players, including leading automotive original equipment manufacturers (OEMs), extensive aftersales networks and crucial logistics providers. One of their most significant and long-standing partners is Discount Tyre, which stands as the largest independent tyre and wheel retailer in the US.

Discount Tyre leverages Anyline’s cutting-edge technology to streamline their tyre inspection processes and digitise key vehicle data across their vast service network, significantly enhancing their operational efficiency and customer service.

“Our ability to serve both independent dealers and enterprise-scale players is a key strength. Whether it’s through our TireBuddy app or via custom integrations using the Anyline SDK, we help clients bring mobile inspection capabilities directly into the hands of technicians – no matter the size or complexity of their operation. This flexibility ensures that businesses of all scales can benefit from our advanced AI,” averred Elustondo, highlighting Anyline’s versatile approach.

Beyond the automotive sector, Anyline’s solutions are also used by government agencies for vehicle data verification, rental fleets for efficient vehicle check-ins and commercial vehicle operators seeking to improve safety, compliance and overall operational efficiency through AI-driven inspections. This broad applicability underscores the universal need for accurate, mobile data capture.

A GLOBAL FOOTPRINT AND FUTURE VISION

Anyline’s global reach extends significantly to India, a market Elustondo described as “important for us – both in terms of talent and innovation partnerships.”

He highlighted a particularly significant collaboration that exemplifies Anyline’s impact in the region: a partnership with Tata Power Delhi Distribution (Tata Power-DDL). Through this collaboration, Anyline launched an industry-first mobile meter reading solution utilising OCR (Optical Character Recognition) and AI-powered anti-spoofing technology. This innovative solution was deployed across North Delhi, dramatically improving billing accuracy, reducing non-technical losses and streamlining field operations for an astounding 1.9 million metres.

“That collaboration showcased how AI and mobile data capture can solve real-world infrastructure challenges at scale,” Elustondo added, pointing to the measurable impact on operational efficiency and data quality. This project marked a pivotal moment, being the first time Tata Power-DDL had adopted mobile OCR for utility meter reading, demonstrating a clear shift towards digital transformation in critical infrastructure.

Looking ahead, Anyline remains steadfastly committed to its software-first approach, a strategic decision that deliberately avoids the need for specialised, proprietary hardware.

“Our focus is on delivering AI-powered software solutions that run seamlessly on everyday mobile devices like smartphones and tablets. This software-first approach eliminates the need for specialised hardware, making our technology far more accessible, scalable and cost-effective for users around the world. It means businesses don’t have to invest in new, expensive equipment; they can leverage the devices their teams already use, significantly lowering the barrier to adoption,” Elustondo affirmed.

This philosophy ensures that Anyline’s solutions are not just technologically advanced but also practically viable for a wide range of businesses globally.

The company’s future plans involve a continuous and ambitious expansion of its AI-powered capabilities specifically tailored for the automotive industry. “Expect more integrations, real-time diagnostics and predictive maintenance features – all accessible via mobile,” Elustondo revealed, hinting at a future where vehicle maintenance is more proactive and data-driven. These advancements promise to further empower technicians with instant insights, enabling them to identify potential issues before they escalate and provide even more precise recommendations to customers.

The company shared that TireBuddy, in particular, stands as a powerful testament to its responsiveness to genuine industry needs and its ability to rapidly develop and deploy effective solutions.

“One development we are especially proud of is TireBuddy. It was built in direct response to feedback from the field, where independent dealers and service teams told us they needed a faster, more accurate way to assess tyre health without investing in expensive equipment or retraining their teams. We listened and we delivered,” Elustondo stated.

The app’s success has been resounding, with positive feedback echoing across the industry. “The response so far has been incredibly positive. Dealers are telling us it is improving the professionalism of their service while also reducing the friction that often comes with inspection-based upselling. It transforms a traditionally manual process – DOT code reading, tread depth measurement, VIN capture – into a digital workflow that’s intuitive, consistent and verifiable. It helps technicians provide clearer documentation, make more confident recommendations and ultimately earn greater trust from customers,” Elustondo said.

He envisions TireBuddy as far more than just a single product: “We see TireBuddy not just as a product, but as the foundation of a broader ecosystem of AI-powered tools designed to support the future of vehicle service – where data, transparency and customer trust take centre stage. This is about building a more efficient, reliable and customer-centric automotive service industry for tomorrow.” 

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Artificial intelligence (AI) is beginning to reshape fleet management beyond conventional telematics that merely track vehicles. In India’s fragmented trucking ecosystem, where cost pressures, ageing fleets and operational inefficiencies remain persistent challenges, AI-led platforms are attempting to shift the industry from reactive monitoring to predictive decision-making. Mumbai-based Taabi Mobility Limited is among the companies advancing this shift, using large-scale data analytics to link driver behaviour, vehicle performance and operating conditions, offering fleets actionable insights aimed at reducing costs, improving safety and optimising asset utilisation.

Generally, most fleet management platforms track location, speed and unauthorised stops, making them mainly descriptive and not prescriptive. Mumbai-based Taabi Mobility Limited is changing the narrative leveraging the computing and predictive power of artificial intelligence (AI).

“Our AI solution adds value by correlating thousands of variables like driver behaviour, road conditions, load, ambient temperature, tyre age etc. and continuously learning in real time. It predicts outcomes. Moreover, traditional reports are static, while AI gets more accurate over time, adapting to different routes. Threshold alerts are not just fixed values. AI detects unusual rates of change and alerts proactively,” explained Chief Executive Officer Pali Tripathi.

Alluding to whether the AI platform only analyses data or also guides operators in real time, she explained that alerts differ by user. “Drivers get in-cabin voice alerts about tyre pressure, fatigue, collision risk etc. Fleet operators receive aggregated, actionable insights across many trucks via a live dashboard with critical exceptions highlighted,” Tripathi said.

She added that the effectiveness of AI relies on high-quality data. The control tower suggests actions like contact drivers, schedule maintenance or recommend coaching but does not fully automate vehicle control. Alert volume is configurable to prevent human fatigue.

She noted that the company’s solution also provides specific corrective actions. “A truck from Delhi to Jaipur showing left-tyre vibration and slow pressure drop triggers an alert for the driver to stop at the next halt. Fleet managers are also notified. The system identifies the issue, potential cause and suggested solution, not just the symptom,” explained Tripathi.

Tripathi contended that the fleet management sector in India is seeing multi-modal transport hubs, digitisation, improved road and waterway connectivity and better warehousing and last-mile efficiency. However, the industry is still not fully organised like in developed countries.

Taabi, she explained, is an operations intelligence platform designed to reduce total operational costs per truck by predicting issues rather than relying on fixed schedules. The system monitors vehicle behaviour, load, road conditions and tyre pressure to flag problems early.

“While fleets focus on fuel cost, tyre health directly impacts safety and performance. Fleet interest in tyre solutions is usually part of a holistic cost-reduction strategy rather than a standalone concern. A 10 percent improvement in tyre life can save crores of rupees for large fleets, making investments in platforms like Taabi worthwhile,” said Tripathi.

Companies in last-mile logistics and cement or steel transporters actively track these metrics through Taabi’s solution.

When asked about collaboration with tyre manufacturers and vehicle OEMs for data sharing, Tripathi indicated that such partnerships are still evolving and not yet fully formalised. She noted that major commercial vehicle OEMs along with tyre manufacturers already collect operational data independently for research and product development.

However, the company’s platform currently prioritises a customer-first approach, focusing on empowering fleet operators with actionable insights. Instead of directly supplying data to OEMs, the system enables fleets to use operational intelligence to hold manufacturers accountable for vehicle performance.

FROM GROUND UP

The company currently serves around 1,300 fleet operators across India. Growth is measured in assets deployed rather than just customers, as a single vehicle may use multiple solutions such as OBD devices, video telematics and fuel monitoring systems. Average deployments are about 272 assets per fleet with ranges from 50 to 4,000 assets.

The company has recorded 130–132 percent year-on-year growth, largely driven by expanding deployments within existing customers.

Nonetheless, Tripathi explained that the primary hurdle for the company was building trust in a completely new category of product. “Since fleets had operated for decades without such technology, convincing operators that the platform could deliver measurable value was difficult. We therefore positioned AI not as a replacement for human judgment but as a tool that enhances decision-making, highlighting hidden operational costs such as tyre wear, vehicle inefficiencies and the financial impact of driver behaviour,” she averred.

Another major challenge was the data ‘chicken-and-egg’ problem. AI systems require large datasets to function accurately, but fleet operators were hesitant to adopt the platform without proof of performance.

Although the company had access to global data, it began collecting India-specific road, load and operational data three to four years before launch to train its models. Early adopters and pilot customers were told transparently that the system would improve as more local data was gathered.

A further complexity involved customising the user interface and experience for different sectors. Construction fleets, buses, trucking companies and enterprise operators such as ambulance services all required different dashboards and operational insights. As a result, persona-based interface design became an important part of product development. When discussing adoption among smaller fleet operators, Tripathi noted that fleets with 5–20 trucks typically adopt the solution through larger enterprises or ecosystem partners.

To improve accessibility, the company offers subscription-based pricing similar to mobile phone plans, avoiding large upfront costs. The base plan provides simple alerts and WhatsApp-style notifications. More advanced features are included in Gold and Platinum plans, which deliver deeper analytics and operational insights.

IMPLEMENTATION

Addressing the challenge of deploying AI-based fleet monitoring on older commercial vehicles, Tripathi noted that a large share of India’s truck and bus fleet is 10–20 years old, meaning many vehicles lack factory-fitted OBD or tyre pressure monitoring systems (TPMS).

“To overcome this, we use a matchbox-sized device that plugs into aftermarket OBD ports typically available on trucks manufactured after 2000. The device captures key operational data such as engine performance, speed, RPM, load conditions and fuel consumption,” she noted.

For older vehicles without such capabilities, additional hardware such as fuel tank sensors are installed to track consumption and detect issues like fuel theft or reverse draining. The system can also monitor gensets and auxiliary equipment, while video telematics can be added when required.

Tripathi explained that this approach can actually make the platform particularly valuable for older fleets, enabling both small and large operators to access AI-driven monitoring and predictive maintenance.

The platform also supports intelligent cameras inside the cabin and facing the road, enhancing driver behaviour monitoring and safety analytics. For tyre monitoring, fleets can use external TPMS units, although these are relatively expensive. As a cost-effective alternative, the system derives proxy performance indicators from OBD data and telematics to estimate tyre health and vehicle performance.

“In minimal deployment scenarios, even a driver’s smartphone can provide basic telematics functions such as GPS tracking, route adherence, geo-fencing and idle detection, enabling gradual adoption of digital fleet management tools,” noted Tripathi.

The platform follows strict data security and privacy standards. All operational data is end-to-end encrypted using AES-256 and stored on cloud infrastructure within India through Microsoft Azure. Fleet data remains private to each operator, meaning one fleet cannot access another’s information.

Internally, only aggregated data is used for model training without exposing raw fleet-level details. Any external data sharing is tightly controlled and compliant with India’s Digital Personal Data Protection framework.

MARKET DEMAND

The company views the retrofit segment as the largest opportunity in India, as most commercial vehicles are older and new truck sales represent only a small share of the total fleet. Its strategy is to democratise access to fleet intelligence by enabling AI-driven monitoring on existing vehicles rather than waiting for fleet modernisation.

“We also see growing relevance in commercial EV fleets, particularly in last-mile delivery networks. Our platform acts as an intelligence layer for mixed fleets transitioning from diesel to electric vehicles, helping operators evaluate return on investment, identify suitable routes for EV deployment and manage operational economics. Vehicle-agnostic solutions such as video telematics can be deployed across cars, vans and EV delivery vehicles,” Tripathi contended.

Rather than relying solely on hardware innovation in tyres or vehicles, the company focuses on AI-driven insights derived from sensor data. “Continuous monitoring allows our system to predict performance issues and recommend interventions. The platform functions as an operational intelligence layer, offering voice-based guidance for drivers, cost-optimisation insights for fleet owners and operational support for fleet managers,” averred Tripathi.

Devices installed in vehicles perform round-the-clock monitoring of engine, fuel, tyre and other operational parameters, delivering predictive alerts and actionable insights. By simplifying complex data into clear recommendations, the AI platform aims to improve fleet efficiency, reduce costs and enable smarter operational decisions.

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Michelin North America, Inc. has TreadVision by Michelin Retread Technologies at the Technology & Maintenance Council (TMC) Annual Meeting. This new approach transforms the retreading process by integrating artificial intelligence (AI), robotics and advanced data analytics to boost both the quality and uniformity of retreaded tyres, ultimately enhancing fleet operational efficiency.

A central component of this system is TreadEye. This advanced technology precisely evaluates tread depth by collecting 1,200 measurement points per tyre. It delivers accurate data on tread wear and casing condition, enabling fleets to determine optimal removal points, safeguard casing integrity and minimise unnecessary vehicle downtime.

The TreadVision process further incorporates proprietary automated inspections. These systems utilise AI and predictive modelling to detect subtle imperfections and anomalies that might otherwise be missed. The application of Vision AI to automatically interpret Casing Integrity Analysis results, specifically shearography, introduces a heightened level of objective, real-time quality control. This ensures that only casings meeting strict standards proceed through the retreading line.

In addition to inspection, the technology suite automates the physical handling and flow of tyres, which streamlines plant operations and can accelerate turnaround times. By automatically managing build specifications, TreadVision standardises production parameters, reducing variability and ensuring a more consistent final product.

These advancements in quality assurance and the reduction of human error are designed to produce more reliable retreads, directly supporting fleet uptime. The system is further enhanced by integration with Michelin’s Fleet Business Insights platform, which transforms operational data into actionable intelligence. Fleets gain clearer visibility into performance trends, asset tracking and cost control, optimising tyre management from first use through multiple retread lifecycles.

Janet Foster-Whitley, Senior Director, Enterprise Dealer & North America Retreading, said, “Michelin has a long history of innovation in the mobility space. With TreadVision, we’re driving the industry forward once again. Retreading plays a vital role in helping fleets extend asset life and control operating costs, and we’re evolving the process to deliver greater consistency, improved quality and faster turnaround times.”  

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MICHELIN Connected Fleet, the data-focused fleet management arm of Michelin, has introduced Smart Predictive Tire, a new monitoring solution specifically engineered for the trailers of Class 7 and 8 fleets. This technology is designed to shift trailer tyre management from a reactive to a proactive model by delivering real-time data on pressure and temperature, alongside predictive maintenance alerts. The goal is to empower fleet operators to address tyre health issues before they escalate, thereby minimising unplanned downtime, controlling costs and extending tyre life while enhancing overall vehicle safety.

At the heart of this innovation is Michelin’s proprietary Smart Leak algorithm, which is capable of identifying subtle, early indicators of tyre degradation. By flagging these warning signs promptly, fleet managers can intervene early, avoiding more severe and costly problems. The solution not only helps in preventing roadside emergencies but also supports broader operational efficiency. Maintaining correct tyre pressure through this system can lead to a reduction in fuel consumption and slower tyre wear, contributing to a more sustainable and economical fleet operation.

The effectiveness of Smart Predictive Tire has been evaluated through international pilot programmes in Europe, where participating fleets experienced notable improvements. Data from these trials showed a significant drop (up to 80 percent) in tyre-related roadside events, an increase in the usable lifespan of tyres (up to 9 percent) in cases where chronic under-inflation was previously an issue and measurable fuel savings (up to 4 percent) when optimal tyre pressures were consistently maintained. While these outcomes are promising, Michelin notes that individual results will depend on various factors unique to each fleet, including its size, operational routes and maintenance routines.

Integrated into the company’s Trailer Premium offer, the Smart Predictive Tire solution provides flexible deployment to meet diverse fleet needs, marking a step forward in connected vehicle technology.

Damon Newquist, Vice President – Sales, MICHELIN Connected Fleet, said, “Emergency roadside service continues to be a major pain point for fleets of all sizes, especially with trailers. When there is a tyre-related event, the root cause is overwhelmingly attributed to improper inflation. Michelin’s proprietary Smart Predictive Tire solution uniquely empowers fleet operators with the tools and alerts to address these issues before they become critical. These tools are designed to help extend tyre life, reduce costs and help keep drivers off the side of the road.”

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Triangle Tyre Co., Ltd. has been recognised as an ‘Excellence Level’ facility in the 2026 Shandong Smart Factory Cultivation Library, an accolade announced by the Shandong Provincial Department of Industry and Information Technology. This acknowledgment highlights the company’s significant progress and systematic achievements in intelligent manufacturing.

This provincial initiative is a key strategy to promote new industrialisation and merge the digital economy with the real sector. Enterprises were evaluated and ranked into three tiers – Pioneer, Excellence and Advanced – based on their comprehensive capabilities in digital design, smart production, lean management and sustainable operations. Over 30 businesses from the tyre sector and its related industries, including manufacturing, steel cord, rubber additives and machinery, were selected. Among these, 1 achieved the Pioneer level, 15 attained Excellence and 15 reached the Advanced level.

For years, Triangle Tyre has steadfastly advanced its intelligent manufacturing strategy, focusing on complete process digitalisation and smart system integration. Looking forward, the company remains committed to principles of innovation and green development. It plans to further integrate digital technologies with manufacturing processes, aiming to establish a modern production base that is not only smarter and more efficient but also safer and more environmentally sustainable.

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