Secondmind.ai: Accelerating Automotive Engineering with Intelligent AI

Secondmind.ai is a cloud-native AI platform revolutionizing automotive engineering by empowering engineers to design better vehicles faster through its advanced machine learning solutions. Built by a team of leading AI and automotive experts, including Professor Carl Edward Rasmussen from Cambridge University, the platform specializes in System Design and Calibration, leveraging Secondmind Active Learning to dramatically reduce reliance on simulations and physical prototypes. It enables data-efficient experiment design, intelligent automation of Design of Experiments (DoE), and set-based design exploration across complex engineering domains such as e-powertrains, thermal management, NVH, and aerodynamics. With physics-informed machine learning models, scalable cloud infrastructure, and seamless integration via a data-agnostic SDK, Secondmind.ai delivers transparent, actionable insights that improve decision-making and foster collaboration. The platform supports sustainability goals by helping reduce CO2 emissions through optimized development processes and has earned industry recognition for innovation and customer value. Through its research arm, Secondmind Labs, the company contributes to the broader machine learning community with open-source tools like GPflow, GPflux, and Trieste, and regularly publishes cutting-edge research in top-tier conferences.

Key Features:

• Secondmind Active Learning: Advanced machine learning system that enables data-efficient experiment design and intelligent automation of DoE.
• System Design: Supports set-based design techniques for exploring multi-dimensional design spaces, reducing development time by up to 50% and simulations by up to 80%.
• Calibration: Model-based calibration solution for e-powertrains, battery systems, ICEs, hydrogen fuel cells, steering, and transmission, reducing data needs by 80% and prototype costs by 40%.
• Virtualization of Physical Testing: Minimizes test bench usage by 80% through intelligent virtualization of engineering processes.
• Physics-Informed Machine Learning Models: Enhances accuracy and handles complex, non-linear behaviors in automotive systems.
• Advanced Visualization Tools: Includes design point slices, design space projections, and parallel plots for intuitive exploration of design trade-offs.
• Intelligent Analytics & Guided Exploration: Helps engineers understand feasibility boundaries and optimize design decisions with confidence.
• Scalable Cloud Compute: Utilizes the latest GPU hardware for high-complexity problem solving and rapid processing.
• Data-Agnostic SDK: Integrates seamlessly with existing simulation tools and engineering workflows.
• Secure & Certified Environment: ISO-27001-certified with automated updates and robust data protection measures.
• Open-Source Contributions: Home of GPflow, GPflux, and Trieste—industry-standard libraries for Gaussian processes, deep Gaussian processes, and active learning.
• Research & Insights: Offers white papers, webinars, and a virtual seminar series called "Learn with Labs" featuring top-tier research in Bayesian optimization, diffusion models, and causal inference.
• Sustainability Focus: Designed to reduce CO2 emissions and support environmentally responsible vehicle development.
• Global Presence: Operates in Cambridge (UK), Yokohama (Japan), and Detroit (USA), serving OEMs, Tier 1 suppliers, and telematics organizations.

Pricing: Secondmind.ai offers a freemium access model with premium enterprise solutions available through direct engagement, providing scalable pricing based on organizational needs and usage.

Conclusion: Secondmind.ai stands at the forefront of AI-driven automotive innovation, delivering powerful, research-backed tools that transform engineering workflows—making vehicle development faster, smarter, and more sustainable. With a strong foundation in machine learning and deep industry integration, it’s an essential partner for forward-thinking automotive teams aiming to lead in next-generation mobility.