Tikcare provides a health intelligence platform that aggregates multi‑modal data from wearables, apps, and clinical systems, then uses AI to turn raw signals into predictive, personalized insights. The solution delivers real‑time, actionable guidance that integrates directly into existing care workflows, enabling organizations to move from simple alerts to closed‑loop, proactive health actions.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations struggle with fragmented data sources—wearables, mobile apps, and clinical records—that are difficult to aggregate, normalize, and interpret, leading to delayed or missed interventions. Without integrated analytics, raw health signals remain underutilized, preventing proactive, personalized care.
Solution
TikCare offers a Health Intelligence platform that ingests multi‑modal data from wearables, apps, and clinical databases, normalizes it to remove noise, and applies proprietary AI algorithms to generate predictive, decision‑grade insights. The platform delivers real‑time, actionable guidance that can be embedded directly into existing care workflows, enabling rapid follow‑up actions without added friction. By closing the loop between data collection and organizational response, TikCare transforms continuous biometric and behavioral signals into actionable intelligence for insurers, employers, and healthcare providers. The solution supports omni‑channel data capture and integrates with enterprise systems to provide scalable, regulatory‑compliant health intelligence.
Target Audience
Primary customers are health insurers, large employers with workforce health programs, and healthcare providers seeking to integrate continuous health data into their care delivery and risk management processes.
Features
- Omni‑channel data collection via mobile apps, web interfaces, and integrated hardware for seamless capture of biometric and behavioral signals
- Automated data normalization pipeline that cleans and standardizes raw inputs to make them AI‑ready
- Proprietary AI inference engine that detects patterns, predicts health outcomes, and generates personalized risk scores
- Real‑time actionable insights delivered into existing clinical, insurance, or workforce health workflows without additional steps
- Closed‑loop feedback mechanism that routes alerts to organizational processes for immediate follow‑up actions
- Scalable architecture designed to meet enterprise security, privacy, and regulatory requirements