📅3: DeepTech + AI + Health + Energy + Mobility – Pitch to Bosch, Niterra, Lightspeed & many more

sponsored by 📍 SF Mayor Permit Center: 49 S Van Ness Ave, San Francisco, CA 94103, United States 🕛 10:30 pm - 4:30 pm ➡️ Check out the other Event Schedule WHY YOU SHOULD ATTEND! Direct access to top Corporate VCs and leading AI VCs High-signal fundraising knowledge panels Best-in-class startup pitches in a highly selective format .... and our sponsor Niterra Ventures is in particular looking for - all in the area of DeepTech: Virtual Sensing Next-generation physical sensors: new materials, miniaturized or embedded designs, multimodal sensing, and sensors engineered to withstand extreme heat, vibration, or corrosion. We are interested in co-development, manufacturing scale-up, and global distribution opportunities where Niterra’s decades of mass-production expertise can help take sensors from prototype to millions of units. Virtual sensors and algorithms: technologies that estimate physical quantities, such as machine vibration, pipeline pressure, or air quality, using existing signals and data instead of dedicated physical sensors. We are looking for deep expertise in sensor fusion, physics-informed modeling, state estimation, and machine learning for physical systems. Proprietary algorithm co-development: opportunities to combine ground-truth data with virtual-sensing expertise to train and validate proprietary models. Applications may include robotics, industrial equipment, gas, batteries, infrastructure, space, and fields beyond mobility. Previously unmeasurable problems: software, hardware, or combined sensing solutions that make it possible to measure physical conditions that could not previously be measured. Replacement of costly or difficult-to-install sensors: virtual or alternative sensing approaches that eliminate physical sensors that are prohibitively expensive, difficult to deploy, or impractical to maintain. Industrial Robotics - Humanoid Actuator thermal management & heat dissipation: High-thermal-conductivity ceramic substrates (silicon nitride AMB / DBC), localized compact cooling (micro-fans, vapor chambers, microfluidic/liquid cooling), and packaging for joint drivers, GaNSiC inverters, and onboard compute. High-durability joint & drivetrain components: Silicon nitride ceramic rolling elements for thin-section bearings, harmonic gear fatigue reduction, planetary roller screws, and wear-resistant joint architectures designed for 247 repetitive dynamic impacts. Hard-to-measure condition sensing & virtual sensors: Ultra-compact temperature/strain/wear sensors embedded in enclosed mechanisms, sensor fusion, and virtual sensing algorithms that infer internal joint stress, magnet degradation, or lubricant breakdown from electrical/drive signals. Dexterous manipulation & high-durability end-effectors: Tactile sensing skins, multi-axis force/torque sensor miniaturization, piezo-actuated or piezo-sensing finger mechanisms, and durable materials for non-stop grasping in unstructured environments. Robotic uptime assurance & failure-prediction platforms: Telemetry ingestion, predictive maintenance algorithms, physical AI data pipelines (Sim-to-Real), and equipment-as-a-service / uptime-guarantee models built on component-level health data. Ceramics Harsh-environment use cases: components or materials operating reliably under extreme heat, pressure, corrosive, or ultra-clean conditions Expansion of material variations: new ceramic and advanced-materials formulations, including functional ceramics (electrical, thermal, sensing properties), not just structural ceramics Disruptive process innovation: manufacturing platforms or processes that make advanced ceramics and functional materials meaningfully more scalable or cost-competitive (e.g., novel sintering, additive/3D printing, roll-to-roll production) New business models: performance, longevity, or data-based ownership models (e.g., as-a-service, predictive maintenance, usage-based contracts) built around ceramic or materials-enabled products We will showcase the AI investing ecosystems of the United States, Israel, Singapore, India, and other critical markets — alongside the most relevant solutions for companies seeking capital, strategic partnerships, and customers at the frontier of artificial intelligence. Our outreach reaches 100+ active AI investors, including the CVC and VC powerhouses featured above. We expect 20–30 investors in the room and will admit only 10–15 entrepreneurs to pitch and engage. The goal is simple and deliberate: put the right people in the same room and extend Pitch Global’s established reputation into the AI market with the same rigor and selectivity we apply in our other verticals. This focus is personal for our leadership. Our Group CEO previously built and scaled technology startups at the intersection of compute and systems design. What is today hailed as AI was then called predictive maintenance, natural language processing, and expert systems technology. Deborah Magid (Investor in Residence) spent her career at IBM during the formative years of enterprise AI and cognitive systems. Rachna Dayal began in semiconductors before moving into healthcare and AI-driven investing; her next fund will cover both verticals, and her husband is a long-time TSMC executive with more than 100 patents central to the advanced packaging that powers today’s AI accelerators. Sharon Sim, CEO and Chairwoman of SV Access, works at cabinet level with the Taiwanese and Singaporean governments — two of the most important nodes in the global AI hardware and talent supply chain. The result is not another broad pitch event. It is a curated, high-trust environment built by people who have lived inside the AI value chain — and who know how capital, talent, compute, and Asia–U.S. connectivity actually move. Why Silicon Valley Access? Powered by more than 10 years of Pitch Global experience. Alumni of our programs have collectively raised more than $1 billion. That is measurable success — not marketing language. Our long-standing