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Sweetch

Sweetch provides an AI‑driven precision‑engagement platform that delivers just‑in‑time, emotionally‑intelligent interventions to patients with chronic conditions, using data from wearables, medical devices, and patient‑reported outcomes. The system integrates with EHRs and health‑IT standards to log interactions, generate hyper‑personalized recommendations, and supply health‑care organizations with real‑time adherence metrics and population‑health analytics.

Tel Aviv, IsraelFounded 2013543K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Patients with chronic conditions often struggle to maintain consistent adherence to medication, lifestyle, and monitoring regimens, especially when care is delivered remotely. Lack of timely, context‑aware engagement leads to suboptimal outcomes, higher complication rates, and increased costs for health systems.

Solution

Sweetch offers a fully automated precision‑engagement platform that combines behavioral science with artificial intelligence and proprietary emotional‑intelligence (EI™) algorithms. The system continuously ingests data from connected devices, patient‑reported outcomes, and contextual signals to generate just‑in‑time adaptive interventions (JITAI) tailored to each individual’s behavior and progress. Hyper‑personalized recommendations are delivered via the preferred communication channel at the optimal moment, covering medication adherence, nutrition, physical activity, sleep, mood, and other therapeutic domains. All interactions are logged and analyzed in a cloud‑based analytics engine, providing health‑care organizations with actionable insights to monitor adherence, assess program efficacy, and support population‑health management.

Target Audience

Primary customers are health‑care organizations that manage chronic‑disease programs, including pharmaceutical companies, medical‑device manufacturers, payers, health‑care providers, and pharmacy networks seeking to improve patient adherence and outcomes at scale.

Features

  • AI‑driven recommendation engine augmented with EI™ modeling to adjust tone, timing, and content based on real‑time patient behavior
  • JITAI framework that triggers personalized prompts (e.g., reminders, educational content, motivational messages) at moments of highest impact
  • Seamless integration with continuous glucose monitors, wearables, and other medical‑device APIs for automatic data capture
  • Cloud‑native analytics dashboard offering adherence metrics, trend visualizations, and cohort‑level outcome reports
  • API layer compatible with FHIR and other health‑IT standards for EHR, payer, and pharma system interoperability
  • Multi‑condition support (diabetes, obesity, cardiovascular, autoimmune, oncology) with condition‑specific intervention pathways
  • Built‑in gamification and community‑support modules to reinforce behavior change and sustain engagement
  • HIPAA‑compliant data handling with end‑to‑end encryption and role‑based access controls
This profile is AI-generated and may contain inaccuracies.