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Transforming intellectual curiosity to real-world applications

creating real impact through a market-driven approach

Providing domain expertise and resources to transform ideas into products, services, and businesses

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What is HPL Venture?

HPL venture operates as one part incubator and one part venture studio. We help nurture teams, companies, ideas, and products to be their very best.

We provide mentorship, guidance, and resources from entrepreneurs, professors, and leaders not only from within our own Stanford ecosystem, but from our academic, venture, and industry partners as well.

use your brain

How is our approach different?

Our core approach is different from other venture spaces as we have one focus with a clear goal.

Our goal is to build practical applications surrounding human intelligent technologies. Whether at the ideation phase or already in the production process, we can help you make leaps and bounds on your journey.

Being within the Stanford School of Medicine, we have an interesting vantage point in creating technologies in today's nacent markets. 

startup

How can you get involved?

We help entrepreneurs and academics who are innovating around human intelligent technologies make the largest impact by bringing world.

Whether you're an industry partner looking to invest or collaborate in a brighter future for us all, an academic looking to productize your research, or an entrepreneur looking to connect for aid with your venture or idea, we can help.

journey

Here are some of the perceptive tools we've built in action.

Using both biometric and psychometric signals to model human perception

With our perceptive software applied to gaming, we are able to interpret a host of psychometric signals to gain performance behavorial insights on Esports players.

With our perceptive sensor technology applied to wearables, we are able to interpret sensory data to understand user fatigue while driving in real-time.

With our perceptive camera API applied to retail, we are able to study various aspects of consumer behavor.

In our pursuit of reverse engineering the brain, our initial step was to focus on human perception. From there, once we can teach machines to perceive, we can move on to model decision-making systems, or intent. Combining perception and intent, we can then drive human-intelligent action.