A graphic shows a simulation of what a VR guided experience might look like, it features colored circles, a humanoid face, and other features
TRIPP is an Alexa Fund portfolio company that is exploring how virtual reality can be combined with meditation. The company's CEO and co-founder Nanea Reeves noted that the VR experiences "are deliberately psychedelic. You find yourself inside an atom or floating in space."
TRIPP

TRIPP explores the potential of virtual reality–powered meditation

Alexa Fund portfolio company’s science-led program could change how we approach mental wellness — and how we use VR.

(Editor’s note: This article is the latest installment in a series by Amazon Science delving into the science behind products and services of companies in which Amazon has invested. The Alexa Fund participated in TRIPP’s $11.2M Series A extension funding round in June 2022.)

With meditation soaring in popularity and the virtual reality (VR) industry booming, Alexa Fund portfolio company TRIPP is at the confluence of two powerful trends: mental well-being and VR. TRIPP is a digital wellness program that uses VR headsets to immerse users in breathing meditation experiences.

The idea to meld meditation and VR first occurred to TRIPP CEO and co-founder Nanea Reeves in 2017 when she, a lifelong practitioner of meditation with a 15-year career in the gaming industry, was experimenting with the medium by building a solitaire game in VR.

This graphic shows a potential visualization from the VR app TRIPP, it includes a planet floating in space against a background featuring stars and bright colors
TRIPP CEO Nanea Reeves said she was inspired by the work of Giuseppe Riva, a neuropsychologist. “We wondered if we could create environments that make you go, ‘Oh, wow!’ and give you a lift,” Reeves explains.
TRIPP

“The way I felt exploring VR was even more interesting to me than the actual development,” Reeves says. Her interest developed into a deep curiosity about the psychological effects of VR, and she began searching the scientific literature.

In addition to studying VR in medical and mental health use cases, she discovered work by Giuseppe Riva, a neuropsychologist whose research has shown that VR can elicit emotions such as awe and, in turn, influence people’s well-being, agency, and perceptions of themselves.

“Inspired by Giuseppe’s research, we wondered if we could create environments that make you go, ‘Oh, wow!’ and give you a lift,” Reeves explains. That became her impetus to found TRIPP in 2017, pursuing the hypothesis that, by stimulating experiences through VR, people may gain some agency over their emotions.

Riva’s work identified several aspects of VR that made it particularly effective for evoking awe, including its immersive nature and the complexity and scale of virtual environments.

“We started leaning into that, and we started to play with scale in our designs,” says Reeves.

In 2019, TRIPP launched its award-winning wellness application, TRIPP, in VR. The application offers immersive mindfulness experiences and, to date, has delivered nearly 6 million wellness sessions. TRIPP continues to work closely with neuroscience and psychiatry advisors through PsyAssist to design and evaluate their experiences and with a host of researchers who are studying its potential uses.

A recent clinical trial suggested that TRIPP might positively influence well-being and mood in cancer patients, and ongoing projects are assessing whether TRIPP can help people in recovery from substance use disorders or anxiety and pain control, among other initiatives.

“With some of the early data coming in, it seems very promising that tools like TRIPP might have a positive impact,” Reeves says, “but we are still only at the beginning of what may be possible with VR.”

Amazon Science spoke with Reeves about the motivation for TRIPP, its roots in science, and the implications for what it can achieve with VR.

  1. Q. 

    Why take meditation virtual?

    A. 

    It’s actually a super native case for VR, because the immersive quality allows you to unplug. You can’t look at your phone by nature of the immersion. I was blown away by how I felt moving in and out of VR — the feeling of respite.

    A lot of the early VR experiences simulated environments that made you terrified, like walking a plank or standing at the edge of a cliff. And it occurred to me: if we could scare people so easily, could we trigger other emotional changes that are beneficial?

    Our approach is to use immersion to drive a deeper connection to self-contemplative thoughts. You’re immersed in this psychologically safe container that is designed to capture your awareness, to allow you to be present and connect to self. With VR, it’s not just an audio file guiding you toward connecting with your breath. We can show you your breath, like star crystals coming in and out of your mouth.

    Some of the early offerings thought VR was really only for gaming. When we first got TRIPP on Oculus, they didn’t know where to put us because they didn’t have a relaxation genre then. We were pretty buried in the store. But we started to get a little bit of traction, and we soon had surprisingly regular usage over time. VR has this problem where you go in, you go, “Wow, that was amazing!” and then it's in your closet. You never pick it up again. When we were designing the product, we knew we had to build for repeat usage. So, we built it procedurally, and now we can update it from the server and add new content regularly.

  2. Q. 

    How is science leading the design and development of TRIPP?

    A. 

    I started by looking at the research investigating VR’s effect on the brain, largely by neuroscientists and behavioral therapists exploring mental health and medical use cases for VR. Most of them focused on simulation, like simulated exposure therapy. But I wondered if, instead of simulating something, could we stimulate responses? I took that question to the researchers working on VR and its effects on mental well-being. We started digging into the research and then, based on the research data, designed VR experiences intended to trigger states of wonder and awe. We tried them out on people and captured some physiological data like heart rate and EEG to see if the experiences were directionally achieving the effect we wanted.

    We stay very grounded in research-driven design choices. We’re a bit edgy. Rather than mimicking natural environments, the experiences are deliberately psychedelic. You find yourself inside an atom or floating in space. First, we tried things like a waterfall or a beach, but when we tested them, they didn’t feel good. I found some research describing how sensory dissonance in synthetic natural environments can create a stress response. Your brain goes, “Well, it looks like a beach, but I don’t smell the ocean. So what’s wrong with this environment?” We realized we had to create environments for which you have no mental model. So we said, “OK, let’s put you in a cosmic flotation tank, whatever that means, because no one knows what space smells like.”

    We’re also starting an enterprise program to support employee wellness and team-building with a hybrid workforce, but also with a focus on using the metaverse for driving ideation and innovation. Can we use these otherworldly environments to spark creativity?
    Nanea Reeves

    After we launched, we started collecting data on mood and emotional state in the live user sessions via self-reported surveys that are based on what they use in mental health research. We bookended our sessions with users, basically asking “How do you feel?” before and after each session. We did things like randomizing the order of the response selections to control against position bias. Now, we have data collected from close to 6 million sessions that we can slice and dice by the time of day and, for a percentage of our audience who opted in, age, gender, and location. It’s become a meaningful body of data that we can share with researchers once it has been de-identified. We also work with researchers who want to study TRIPP and its potential applications. It’s been fascinating to work with that community.

    One example is this group in Germany working with cancer patients undergoing surgery, looking at the effects of TRIPP sessions on their quality of life, well-being, and mood. This study was published in Nature’s Scientific Reports. Participation was good, and patients who used TRIPP had lower heart rates and breathing rates after their sessions. They had improved scores on their mood and emotion surveys after the sessions too. What the study shows us is that VR-based relaxation is a viable option and may be beneficial for cancer patients undergoing surgery. Of course, we don’t make any therapeutic claims until we have a tremendous amount of evidence to support those claims.

    You can find other published data and scientific reports examining TRIPP’s effects on adolescents and its use in palliative care. And we’re working with researchers who are looking at whether TRIPP could help people experiencing addiction and rehab, chemotherapy, severe mental illness, anxiety, and pain. Researchers are also using TRIPP to ease anxiety and help people prepare for ketamine-assisted therapy, so they get the most out of their treatment. I feel very motivated to see how we can help and participate in these research initiatives.

  3. Q. 

    How might TRIPP change how we use VR, beyond its medical applications?

    A. 

    Earlier this year, we acquired EvolVR, which holds live group meditations. Several hundred avatars attend the most popular conversations. People really open up. Skip Rizzo, PhD, a renowned researcher in the field and an advisor to TRIPP, did a pilot study and found that people suffering from PTSD were more open and honest with an avatar. We want to further investigate this as there’s something about the “digital veil” of VR where you don’t feel the judgment of being seen by other people. I think this is a wonderful use case for the metaverse.

    We’re also starting an enterprise program to support employee wellness and team-building with a hybrid workforce, but also with a focus on using the metaverse for driving ideation and innovation. Can we use these otherworldly environments to spark creativity?

    It’s also fascinating to think about the gig economy that could emerge from the metaverse — similar to what first emerged from mobile computing. For example, I met a woman at one of our live group meditation events in the metaverse who’s earning a living as one of the top world-builders in Altspace VR. She’s a mother of five who has never worked in tech before. She’s now a programmer, building these virtual worlds.

    We’re only beginning to explore the potential of VR. It’s like the early days of mobile. Initially, no one thought we’d want to play games or even text message on our cell phones. Now, for the past decade, we have been walking around with our heads down staring at these phone screens nonstop. What kind of innovation will happen in a future when XR glasses are ubiquitous and allow us to experience the world around us in an entirely new and adaptive way?

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We are looking for a talented Research Scientist to join our team. In this role, you will design, develop, and deploy machine learning and computer vision models that solve real-world problems at scale in the Amazon grocery domain. You will work closely with engineering, product, and business teams to turn complex technical challenges into production-ready solutions, and own the model development lifecycle from experimentation through deployment. You will bring scientific rigor to every stage — from data analysis and model design to evaluation and iteration. This is a high-impact role where your models will directly improve the shopping experience for millions of customers in Amazon grocery stores. Key job responsibilities Design, train, and evaluate computer vision and machine learning models for complex grocery-domain problems including product identification, shelf perception, and in-store scene understanding — iterating rapidly from prototype to production-quality solutions Conduct rigorous exploratory data analysis to characterize domain-specific challenges (image variability, catalog gaps, label noise) and translate findings into actionable modeling decisions Design and execute offline and online evaluation frameworks — defining metrics that capture both model performance and downstream business impact, and diagnosing failure modes to prioritize improvements Build and improve data pipelines and annotation workflows that feed model training, including active learning strategies to maximize label efficiency Communicate technical results, trade-offs, and recommendations clearly to engineering, product, and business stakeholders — connecting model behavior to customer experience outcomes Stay current with state-of-the-art research in computer vision, multimodal learning, and representation learning — evaluating and adapting promising techniques to team-specific problems Contribute to a culture of scientific rigor through reproducible experimentation, thorough documentation, peer code and design reviews, and raising the quality bar for the team A day in the life As a Research Scientist on the GRAISE team, you'll spend your days analyzing model performance from overnight experiments, and prototyping new approaches using multimodal learning with store video and sensor data. You'll present findings to product and business stakeholders, translating technical results into actionable recommendations. Throughout the day, you'll balance rigorous scientific thinking with practical engineering constraints, knowing your work directly improves the shopping experience for millions of customers in Amazon grocery stores. About the team The GRAISE team (Grocery, Retail & In-Store Experience) within World Wide Grocery Store Tech (WWGST) builds foundational AI and machine learning systems that power Amazon's in-store grocery technologies. We develop domain-specific models that solve uniquely complex challenges in grocery — from smart shopping carts and inventory intelligence to personalization and store operations. Our mission is to create technology which makes grocery shopping more convenient, economical, personalized, and enjoyable for customers while empowering retailers with operational efficiency.
US, NY, New York
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems Disambiguate problems to propose clear evaluation frameworks and success criteria Work autonomously and write high quality technical documents Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production Partner closely with other scientists to deliver large, multi-faceted technical projects Share and publish works with the broader scientific community through meetings and conferences Communicate clearly to both technical and non-technical audiences Contribute new ideas that shape the direction of the team's work Mentor more junior scientists and participate in the hiring process About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
US, CA, Sunnyvale
Robots are about to step out of the movies and into our homes. If you're excited about this robotics revolution, come join Amazon's Fauna Robotics. As an Applied Scientist in this org, you'll push the state-of-the-art techniques in Robotics. You'll drive technical excellence in areas such as perception, manipulation, sim2real transfer, reinforcement learning and multi-task learning, designing novel algorithms that bridge the gap between research and real-world deployment. In this role, you will integrate hands-on technical expertise with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. While staying updated with the latest advancements in robotics research, you will leverage your experience and expertise to guide the team towards the most promising direction. Collaborating with a talented group of software engineers and scientists, you will bring your ideas to fruition. Deploying robots in home environments requires you to anticipate challenges not encountered in structured settings like warehouses. Additionally, consumer-grade sensors and actuators necessitate working around their limitations, requiring out-of-the-box innovative ideas. As such, you are someone who truly enjoys thinking about problems using first principles at a holistic and systems level to address the aforementioned challenges. Key job responsibilities - Lead technical initiatives in areas such as robotics foundation models, reinforcement learning and manipulation - - Design experiments to identify the limitations of current state-of-the-art models and developing new models or techniques that can surpass these models - Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish - Mentor fellow scientists while maintaining strong individual technical contributions - Collaborate with engineering teams to optimize and scale models for real-world applications - Influence technical decisions and implementation strategies within your area of focus - Experienced in communicating complex technical work to a non-technical audience - The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful. At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build. If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.