98%

accuracy predicting manic episodes

92%

accuracy predicting panic attacks

64%

of users see significant symptom reduction

44%

of US adults own a fitness wearable

What Raeva does for you
Stop guessing.
Start knowing.
Your wearable collects incredible data. Raeva tells you what it means and what to do about it.
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Wake up knowing your day
Raeva gives a daily forecast of how your body and mind will likely feel and actions to make today better than yesterday.
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Train smarter, recover faster
Know when to push and when to rest. Raeva synthesizes your data to help you get the most from your workouts without burnout.
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See mood shifts before they hit
Raeva detects patterns in your data that signal emotional dips, stress surges, or anxiety spikes – up to 7 days in advance.
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Sleep better
Raeva tracks what’s really affecting your sleep and suggests a personalized bedtime plan that works.
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Break destructive cycles
Raeva learns your patterns and suggests small interventions that interrupt negative cycles before they spiral.
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See the full picture of your health
Raeva brings together sleep, heart rate, movement, mood, supplements, and stress so you can see how they interact.
Who is Raeva for?
If you sport a wearable, you deserve more from it.
If you want to better understand your body, optimize performance, or just feel more like yourself, Raeva is for you.
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Fitness enthusiasts & athletes
Train with intention. Know when your body is ready to push and when it needs to rest.
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Biohackers & self-optimizers
Visualize the interplay between sleep, HRV, stress, and mood. Figure out what moves the needle for your unique biology.
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People managing mental health
If you have anxiety, bipolar, depression, or ADHD, Raeva provides early warnings and actions to manage the hard days.
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General wellness seekers
You don’t need a diagnosis or major goal to benefit. Try Raeva for more energy, better sleep, and to understand your body.
A man bending over to tie his orange running shoes. A Garmin watch is featured prominently on his left hand.
A man bending over to tie his orange running shoes. A Garmin watch is featured prominently on his left hand.
The science behind it
Not just a wellness app with a hunch.
Raeva’s predictions are built on peer-reviewed machine learning research. We’re bringing the same science used in clinical settings to everyday life.
98%
accuracy predicting bipolar manic or hypomanic episodes
92%
accuracy predicting panic attacks up to 7 days in advance
80%
accuracy predicting depressive episodes before symptoms begin
Where these numbers come from: These figures come from peer-reviewed studies on machine learning models applied to wearable biometric data. Raeva applies these validated approaches to your personal data so predictions get sharper the more you use it.
The team
Built by people who need it as much as you.
Raeva isn’t built by people looking at data from a distance. It’s built by people who lived the problem.
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Liz Hixon
Founder & UX Lead
Liz is a senior product designer and leader pioneering user experiences in medtech. A neurodiverse fitness enthusiast, she was inspired to create Raeva as a tool to help herself and others better navigate their wellness journeys. As the design architect behind Raeva, Liz bridges the gap between complex health data and intuitive user action. Applying her expertise in UX, design systems, and design ops for the medical industry, she ensures that Raeva’s predictive forecasting is both clinically grounded and effortlessly accessible.
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Terry Lee
Strategic Technical Advisor
Terry has served in leadership roles including CTO at KooPrime and Principal Software Engineer at Noggin, where he specialized in intent inference and personal data platforms. With 30+ years in bioinformatics and healthcare systems, Terry is an innovator with multiple patents in data processing. Advising on technical strategy, he provides the architectural oversight necessary to ensure complex data systems intended to convert multi-dimensional physiological data to reliable insights are built for long-term scale and security.
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Kenneth Kostrešević
Technical Officer
Kenneth is a full-stack Elixir engineer with expertise building scalable, reliable backend systems and messaging platforms for greenfield and established products. With deep expertise in Phoenix, LiveView, and the Ash framework, he also brings experience in machine learning and computer vision through tools like Nx and Bumblebee. As Raeva’s Technical Officer, Kenneth applies his expertise to build the robust, well-tested backend infrastructure needed to process biometric data from wearables into accurate, individualized insights at scale.
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Be the first to know when Raeva is ready.
Sign up to know when we launch and get founding member pricing.
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Help shape the product through beta feedback
Join the waitlist
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For investors
A huge market.
An unmet need.
44% of US adults own a fitness wearable. The data exists. The infrastructure exists. What’s missing is a platform that makes that data meaningful, bridging physical and mental health prediction in one daily experience.
Total addressable market
$38.4B
640M global wearable users
Serviceable market (MVP)
$2.07B
Initial focus: Garmin’s ~45M users
USA market CAGR
24.45%
Rapid global growth
Pre-seed raise
$600K
$2.49M
MVP target: $600K
Full 2-year runway cap: $2.49M
Year 1–2 revenue target
$5.52M
Based on 1% penetration of the US Garmin market in 24 months
Stage
Pre-seed
Direct-to-consumer launch, B2B expansion from 2028
Partner with us
We have the vision, the science, and an experienced team. We’re looking for investors who believe that the future of health is personal, predictive, and proactive.
Express interest ->
Raeva LLC is testing the waters to evaluate the instigation of a regulated crowdfunding offering. No money or other consideration is being solicited, and if sent in response, will not be accepted. No offer to buy the securities can be accepted and no part of the purchase price can be received until the offering statement is filed and only through a registered platform. Any indication of interest involves no obligation or commitment of any kind.

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