We don’t just understand technology, but also the business imperatives. Bringing together an amalgamation of technologies in context of today and tomorrow, we have produced world-leading products for 130+ years and helped businesses innovate. We push the boundaries of traditional product engineering with extensive expertise across verticals, in-house development facilities, and agile engineering.
Result? A better, more sustainable, more intelligent approach to digitalization that ensures the creation of adaptive, effective, and intuitive solutions across the product lifecycle.
Whether it’s enhancing existing products or spearheading the creation of groundbreaking innovations — we blend digital intelligence, engineering precision, and AIoT advancements to redefine how products are designed and brought to life.
Transform ideas into reality through avant-garde product design solutions with better quality, functionality, and user experience.
Ensure seamless collaboration between subsystems, spanning the entire product lifecycle from conceptualization to deployment.
Build compliant solutions throughout your product development lifecycle with end-to-end connected systems validation.
Employ cutting-edge security protocols, encryption methods, and threat modeling to protect your products against vulnerabilities.
Bridge the gap between concept and production with our smart sample development, agile processes, and additive manufacturing.
Achieve better usability and user satisfaction by designing, developing, and validating HMIs from touchscreen applications to voice-activated controls.
Integrate updates and feedback into product development and stay ahead of the market with cross-functional communication and AI-led decision-making.
The Smarter Product Engineering at Bosch not only helps you create products, it also enables the development of solutions to critical problems. Whatever business goal you pursue, you can seamlessly transition to smart connected products for long-term value creation with hassle-free user experiences, faster time-to-market, cost-efficiencies, and better revenue-generating opportunities.
Blending digital intelligence with product design and development include tools with artificial intelligence (AI) and virtual reality (VR) capabilities, silicon engineering for designing and building energy-efficient chips, advanced VLSI technology, using AI/ML frameworks for smart features, utilizing blockchain engineering, and adopting IoT for improved connectivity. These specific engineering technologies and related tools will help businesses create innovative, data-driven products to meet modern user demands.
Sensors are used to integrate real-time diagnostics and predictive analytics for data collection, edge computing for on-device analysis, and machine learning models for predictive insights. These techniques enhance system reliability and performance by enabling proactive maintenance and real-time decision-making.
Cloud platforms integrated with real-time diagnostic capabilities provides continuous monitoring, quick reporting, preventive analysis and instant fault detection. This proactive approach allows quick issue resolution, reducing servicing time, downtime, and maintenance costs, avoiding escalation, ensuring data-driven decision-making, extending the product's lifespan, and improving serviceability throughout the lifecycle.
Data-driven solutions using digital intelligence and AIoT can offer superior product design. These advanced capabilities create adaptive and connected products that optimize performance and user experience. It can also streamline the development process through predictive maintenance and automation.
IoT devices that are deployed in remote locations can be upgraded with the FOTA update feature. IoT gateway devices that support this upgrade feature include Processor and OS-based Gateway, Microcontroller-based Gateway, and Mobile Device as a Gateway. These are utilized according to the use cases, Processor and OS-based Gateway is used for largescale deployments, Microcontroller-based Gateway is for applications that require special functionalities, and Mobile Device as a Gateway is when target devices are fewer in number.
