AppRecs review analysis
AppRecs rating 3.8. Trustworthiness 77 out of 100. Review manipulation risk 28 out of 100. Based on a review sample analyzed.
★★★☆☆
3.8
AppRecs Rating
Ratings breakdown
5 star
69%
4 star
8%
3 star
0%
2 star
0%
1 star
23%
What to know
✓
Low review manipulation risk
28% review manipulation risk
⚠
Ad complaints
Many low ratings mention excessive ads
⚠
Pricing complaints
Many low ratings mention paywalls or pricing
About SingFit
At SingFit, we’re transforming the way people think about cognitive health.
Our ground-breaking technology provides person-centered care through individualized therapeutic music sessions based on the user’s health condition, preferences, and targeted therapeutic goals. The SingFit algorithms utilize historical and real-time user data to produce the optimal therapeutic experience and outcomes.
Our proprietary Song Tagging process classifies songs by analyzing hundreds of musical, cognitive, and psychological factors associated with known therapeutic benefits. Machine learning increases the accuracy of our SingFit Algorithms both within and in subsequent sessions as well as provides a revolutionary framework for understanding the mechanisms of therapeutic music.
No other digital music platform has the capability for data capture & metadata tracking for its entire library tied to specific health conditions. Every element of the SingFit Platform is driven by an evidence-based, interdisciplinary approach using the fundamentals of music therapy as guiding principles.
A remarkable tool for caregivers and therapists alike, we are committed to shaping the future of wellness to be accessible to all.
Our ground-breaking technology provides person-centered care through individualized therapeutic music sessions based on the user’s health condition, preferences, and targeted therapeutic goals. The SingFit algorithms utilize historical and real-time user data to produce the optimal therapeutic experience and outcomes.
Our proprietary Song Tagging process classifies songs by analyzing hundreds of musical, cognitive, and psychological factors associated with known therapeutic benefits. Machine learning increases the accuracy of our SingFit Algorithms both within and in subsequent sessions as well as provides a revolutionary framework for understanding the mechanisms of therapeutic music.
No other digital music platform has the capability for data capture & metadata tracking for its entire library tied to specific health conditions. Every element of the SingFit Platform is driven by an evidence-based, interdisciplinary approach using the fundamentals of music therapy as guiding principles.
A remarkable tool for caregivers and therapists alike, we are committed to shaping the future of wellness to be accessible to all.
