Endel Deeper Focus
Endel, creator of personalized soundscapes that have attracted more than 2 million users, has partnered with pioneering electronic producer and DJ Plastikman (Richie Hawtin) to release their AI-powered soundscape "Deeper Focus". The new soundscape is now available to Alexa customers.
Credit: Endel

How Endel’s AI-powered Focus soundscapes earned the backing of neuroscience

A new study has found that when compared to curated playlists and silence, personalized AI soundscapes generated by Alexa Fund company Endel are more effective in helping people focus. 

(Editor’s Note: This is the second in a series of articles Amazon Science is publishing related to the science behind products and services from companies in which Amazon has invested. The Amazon Alexa Fund first invested in Endel in 2018, and in 2020 the Alexa Fund participated in Endel’s $5 million Series A financing round.)

Founded in 2018, Endel creates personalized soundscapes to help people focus, relax, and sleep. Built on the back of its patented technology, Endel Pacific, the artificial intelligence (AI)-powered service takes into account the individual conditions of each listener, such as their heartbeat or the amount of light present, to generate customized sounds that help improve their well being, the company says.  

Endel provides three primary soundscapes: Focus, Relax, and Sleep. Using Alexa for instance, each soundscape is able to extract key local data about individuals, such as time of day, weather, and the amount of natural light, to help generate sound environments that improve these key states.

With the aim of helping people sleep better, Endel started collaborating with SleepScore Labs in 2020, to improve the effectiveness and user experience of their sleep soundscapes. The company also made headlines when it collaborated with musician Grimes to create “AI Lullaby”, a custom-made sleep soundscape which was made available through the Endel skill, for Alexa. 

Now, with the recent publication of a new white paper, "Differences In The Effects On Human Focus Of Music Playlists And Personalized Soundscapes, As Measured By Brain Signals", Focus mode is in the scientific spotlight. The white paper examines what properties of sound affect human focus, validating the company’s existing approach, while providing a roadmap for future improvements to its custom soundscapes. 

Focus results

Published by Arctop, a data and AI technology company that has developed a pioneering brain decoding SaaS solution, the white paper used Endel’s personalized Focus soundscapes, alongside focus-themed playlists from popular streaming platforms, to see how they affected a cross-section of users as they performed everyday tasks.

The white paper, which was authored by Arctop's research and development team led by principal investigator Dan Furman, PhD, and first author Aia Haruvi, MSc, was supported by Warner Music, Sony, Endel, and Universal Music, who provided the company with sounds, data, and financial support to help advance the research. The report looked at users at home in their natural environment, recording and interpreting their brain signals to show how they reacted to the music. The aim: examine what, if any, impact the use of Endel soundscapes, popular curated playlists that have been optimized for focus purposes, or just pure silence, had on the ability of listeners to perform tasks.  

“From the very beginning it has been important to us to be rooted in science,” says Endel co-founder and CEO Oleg Stavitsky. Upon launching Endel with renowned composer and sound designer Dmitry Evgrafov, Stavitsky began looking for research papers to inform their work within functional music, especially as it relates to helping people focus. 

“The majority of white papers out there would only reference popular music like Queen, Bach… making straightforward comments like, sad music makes you feel sad,” said Stavitsky.” There was nothing out there for what we were trying to apply here, anything that would help us go deeper and ask, ‘How does your brain react to certain types of sounds?’” 

When Stavitsky and Evgrafov received preliminary results from Arctop, it helped validate how their soundscapes impact brain activity on a second-by-second basis. 

Endel Image 1
The goal of the Arctop study was to determine what properties of sound affect human focus the most. This diagram from the research paper demonstrates the framework for reverse correlation of time-series focus values with audio features. A is an example of a recorded brain signal, B is an audio segment from one of the songs, and C shows the audio features dynamics during 30 minutes of recordings.
Credit: Arctop

“This was gold for us,” Stavitsky says about the results. “It wasn’t just about validating what we had, it was about how it worked specifically. Arctop has this proprietary system that allows you to zoom into a song, and on a second-by-second basis say ‘here’s the progression and here’s the brain activity.’”

Arctop examined participants doing various tasks in their home or work environments. Listening to either Endel soundscapes, curated playlists, or just silence, each volunteer completed four, one-hour sessions, that included a set tasks, and followed by an activity of their own preference. As the participants performed their tasks, they were monitored using state-of-the-art technology to pick up on the brain’s impulses, tracking its responses to the audio in relation to their task. Through this analysis, the team devised a ‘focus coefficient’, based on input from a brain decoded data electroencephalograph headband, and additional survey data from the participants. 

The results demonstrated that participants listening to personalized soundscapes increased their focus significantly when compared to listening to music playlists, or silence.

Endel releases new Deeper Focus soundscape on Alexa

On April 30, Endel made its latest soundscape, Deeper Focus, available on Alexa. Endel partnered with with pioneering electronic producer and DJ Plastikman (Richie Hawtin) to release their collaborative AI-powered soundscape. Read more about the new soundscape here.

“When we set up this experiment we didn’t know what would happen,” Furman explained. “One of our main takeaways is that the personalization of soundscapes is really effective.” 

The approach to the research is also relatively new, Furman explains. 

“One thing we want to highlight is that the method we used is naturalistic neuroscience – outside of the lab, with no technicians present, no wires... It was a uniquely natural capture of data. Here people were able to work at home, and use their own tablet or phone, they wore regular headphones and a light headband only for the brain decoding, which was really novel they were able to experience the content exactly as they would in everyday life. Ultimately, we believe that context, gives more credence to our findings.

How focus works

Endel’s founders believe the study provides new information that the company can use to enhance its soundscapes. Unlike its other modes, Sleep and Relax, Focus is the only Endel soundscape to employ percussion. But it’s more complex than just adding a few beats.

“The tempo is closely tied to your heart rate, and can adjust based on your resting and active heart rate,” explains Evgrafov, who works closely with fellow Endel sound designer, Alexander Vasilenko, to bring its soundscapes to life. “The sounds are more active, have less reverb and are more nuanced. There is a very gentle balance that must be maintained with the rhythm, as the brain starts to block out rhythmic sounds after a time.” 

Endel Image 2
This diagram from the Arctop white paper shows the study's processing pipeline. Data acquisition included at home EEG recordings of four sessions, each with a different background audio stream. EEG processing included filtering the signal, feature extraction, and training machine learning models to map between brain features and reported focus. Obtaining the brain decoded focus dynamics enables comparison of focus levels during different types of audio streams.
Credit: Arctop

Thanks to the way that in which the data was collected, Endel can now assess how sound impacts customers’ responses on a second-by-second basis.

“We got a lot of information about structure, where we realized we had to build it up, and relax things. In those transitions, the curve [for the focus coefficient] goes up drastically,” Evgrafov explains. “It’s not about the amount of instruments, it’s the nature of change that provides the most impact. This isn’t something we could have worked out ourselves.”

Further areas of focus 

From its inception, Endel has taken a scientific approach to programming its technology, applying information and knowledge on psychoacoustics that was readily available online, while at the same time relying on Evgrafov’s musicianship and heuristic knowledge.

“We started getting more neuroscience data, and that was more important for us, but we couldn’t answer simple questions like, ‘What is focus?’, and ‘What makes something relaxing?’ Now, thanks to the report, we see how the entire structure of a song impacts brain functionality,” Evgrafov said. “There are other layers of knowledge as well, such as the acoustical and other sound treatments that are present in the very spectrum of the sound. These parameters can help us program our core technology.”

This is more thorough and goes deeper than anything that has been done before, specifically about how sounds affect your cognitive state when it comes to concentration.
Oleg Stavitsky, Endel CEO

Now, Endel is focused on taking its AI technology to the next level. 

“To me, what is important is how groundbreaking this is,” says Stavitsky. “This is more thorough and goes deeper than anything that has been done before, specifically about how sounds affect your cognitive state when it comes to concentration.”

Both Arctop and Endel see potential in further exploring additional factors that weren’t examined in the report, such as how personalized soundscapes can affect productivity, creativity, and wellbeing — states that can be directly associated with focusing. Using current Arctop technology for headphones, earbuds, AR/VR devices and the ‘focus coefficient,’ for example, Endel soundscapes can adapt in real-time to fit an individual user’s precise needs for focusing in the moment.   

“We believe personalized soundscapes are the new way to experience functional music,” Stavitsky says. “We see it as a new category of music — functional music — and within this field, Endel is a leader.”

 

Research areas

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The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle—from ad creation and optimization to performance analysis and customer insights. We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI. Join us in shaping the future of advertising. Key job responsibilities This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include: - Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences. - Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions. - Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts. - Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor junior scientists and engineers to build a high-performing, collaborative team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value.
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. About the team The International Seller Services (ISS) Economics team is a dynamic group at the forefront of shaping Amazon's global seller ecosystem. As part of ISS, we drive innovation and growth through sophisticated economic analysis and data-driven insights. Our mission is critical: we're transforming how Amazon empowers millions of international sellers to succeed in the WW digital marketplace. Our team stands at the intersection of innovative technology and practical business solutions. We're leading Amazon's transformation in seller services through work with Large Language Models (LLMs) and generative AI, while tackling fundamental questions about seller growth, marketplace dynamics, and operational efficiency. What sets us apart is our unique blend of rigorous economic methodology and practical business impact. We're not just analyzing data – we're building the frameworks and measurement systems that will define the future of Amazon's seller services. Whether we're optimizing the seller journey, evaluating new technologies, or designing innovative service models, our team transforms complex economic challenges into actionable insights that drive real-world results. Join us in shaping how millions of businesses worldwide succeed on Amazon's marketplace, while working on problems that combine economic theory, advanced analytics, and innovative technology.
AU, VIC, Melbourne
We are scaling an advanced team of talented Machine Learning Scientists in Melbourne. This is your chance to join our a wider international community of ML experts changing the way our customers experience Amazon. Amazon's International Machine Learning team partners with businesses across the diverse Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on a wide variety of high-impact projects that deliver innovation at global scale, leveraging unrivalled access to the latest technology, whilst actively contributing to the research community by publishing in top machine learning conferences. As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science. Key job responsibilities - You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. - In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams. - You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. About the team Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
US, WA, Seattle
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next-level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Key job responsibilities * Partner with laboratory science teams on design and analysis of experiments * Originate and lead the development of new data collection workflows with cross-functional partners * Develop and deploy scalable bioinformatics analysis and QC workflows * Evaluate and incorporate novel bioinformatic approaches to solve critical business problems About the team Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.