Blog | Applied Intuition

Top 5 Takeaways with Ray Hatoyama

We hosted Ray Hatoyama, Venture Partner at Sozo Ventures, CSO of Human Made, and former CEO of Sanrio for a fireside chat at our Mountain View HQ, where he talked about the importance of openness, flexibility, and adaptability in business.

November 6, 2024

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CEOs of AI Products: Product Management at Applied Intuition

Dive into the dynamic role of product managers at Applied Intuition, where they lead as CEOs of their products, harness cutting-edge AI technologies, and uphold a culture of high performance. Learn how they navigate complexities and drive innovation in the AI landscape.

Top 5 Takeaways With John Quinn and Sean Pak

We hosted John Quinn and Sean Pak from Quinn Emanuel for a fireside chat at our Mountain View HQ. John and Sean spoke to the Applied Intuition team about laws and litigation in tech.

How Luminar Accelerates ADAS Testing With First Validated Sensor Models of Its Lidar

Learn how Luminar uses Applied Intuition’s simulation platform for ADAS development to reduce time to market.

Top 5 Takeaways With Rania Succar

We hosted Mailchimp CEO Rania Succar for a fireside chat at Applied Intuition’s Mountain View HQ. Rania shared her experience and advice around career development.

Cost-Efficient Simulation in the Cloud: Paving the Way for Scalable Autonomy

Advanced driver-assistance systems (ADAS) and automated driving (AD) development requires rapid and accurate validation and verification of safety cases via simulation. As these simulations grow in complexity and scale, so does the need for robust compute and storage solutions. Such escalation presents the challenge of increased cost. This blog post explores strategies and solutions designed to address this challenge.

Applied Intuition’s Automated Parking Development Solution

We are announcing the general availability of Applied Intuition’s automated parking development solution that enables advanced driver-assistance systems (ADAS) and automated driving (AD) engineering teams to develop reliable and efficient automated parking systems (APS).