Brain-based AI that learns on your device without retraining, remembers you, and keeps your data private
Stage
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Startup
Founded
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2026
Based in
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US
Pricing model
Paid
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Pricing
Starter: $1.99 (50% off, was $3.98) for 20 credits ($0.99 per evaluation); Standard: $5.99 (50% off, was $11.98) for 80 credits ($0.75 per evaluation); Professional: $18.99 (50% off, was $37.98) for 300 credits ($0.63 per evaluation). All plans include first login bonus of 1 evaluation, one-time pay
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Key features
Six-dimension eye area evaluation across canthal tilt, upper/lower eyelid exposure, eye socket depth, brow-eye distance, and eye shape
Instant scoring with 1-10 eye area score and tier ranking
Actionable improvement tips including exercises, skincare, and grooming methods
Scientific and Roast evaluation modes
Privacy-first photo processing with no storage
Results returned in seconds
Progress tracking capability for long-term monitoring
Premium AI model for more intelligent and professional analysis
Learns continuously on your device without retraining
Remembers individual users separately
Runs fully offline on consumer hardware like iPad
Learns without forgetting existing knowledge
Consistent performance over long conversations
Honest about uncertainty
User controls what it learns
Works with existing language models
Corrected facts replace outdated information
Designed for disconnected networks
What makes it different
Weighted six-dimension scoring system with clear tier mapping from S Tier Supreme Hunter to F Tier Prey Eyes
Dual evaluation modes offering both scientific objectivity and humorous roast options
Non-surgical improvement methods with specific actionable recommendations
Flexible one-time credit purchasing with no expiration
Continual learning architecture that learns in place after deployment, unlike frozen models
Brain-modeled design with separate organs for memory, sleep, and decision-making
All learning happens on your device with no data sent to servers
Works where cloud connectivity is unavailable or undesirable
Patent-pending learning method usable with other large language models