Products/AI-powered behavioral health / recovery / pattern recognition/Kratic

Kratic

Your new default AI

AI-powered behavioral health / recovery / pattern recognitionhealthcareapp-integrationfitnessReviewed

Our Take

Kratic is building in the health data integration layer—pulling signals from Whoop, Fitbit, whatever you're wearing—and connecting them to wherever you need them. Honestly, it's still early and I'm waiting for more signal on what their actual wedge is, but anyone playing in the quantified-self space should keep an eye on this one.

AI-powered recovery app that connects sleep, spending, mood, and habits from connected apps (Fitbit, Whoop, Google Calendar, Notion, Outlook) to reveal patterns that come before relapse. Users ask questions in natural language and receive insights across all data domains.

Key Features

Cross-app data integration (Fitbit, Whoop, Google Calendar, Tasks, Notion, Outlook), 30-second daily check-ins (mood and craving log), AI insights across all connected domains, Natural language queries about patterns, Personal warning sign identification, Relapse pattern prediction, Custom AI agents, Unlimited conversations

Problem It Solves

Sobriety apps only count days but don't explain why someone is at risk. Kratic identifies behavioral patterns days or weeks before relapse occurs, helping users act while there's still time.

Target Customer

People in recovery who have outgrown simple day counters and want data-driven pattern recognition

Use Cases

Predict relapse before it happens, Understand personal warning signs, Compare current week to past high-risk periods, Identify cross-domain correlations (sleep + spending + mood + habits), Track recovery patterns holistically

Pricing Details

Monthly billing, billed monthly. Cancel any time. No hidden tiers.

Differentiator

Treats recovery as a behavioral pattern recognition problem rather than a willpower/support problem. Connects data across multiple domains (health, productivity, lifestyle) to find the actual combinations that precede relapse in the user's specific history, not generic wellness patterns.

Why Now

People in recovery have outgrown motivational day counters. Existing apps (Reframe, I Am Sober) are shallow. Users can feel something is wrong but have no way to see it. Modern data integration makes cross-domain pattern recognition possible.

Traction

Customers Mentioned: Alex M. (32, Product manager, 8 months on current streak), Sarah K. (38, Designer, 19 months sober), David J. (41, Consultant, 14 months sober), Ryan D. (35, Entrepreneur, Fitbit + Whoop + Notion user) · Testimonials Count: 4

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