CGM companion app for real-time glucose monitoring with predictive alerts and family sharing
Open, vendor-neutral AI platform connecting models and agents from different hospitals and vendors through one secure, EU-hosted integration layer
Stage
Not given
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Founded
2022
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Based in
EE
NL
Pricing model
Not given
Contact for pricing
Pricing
Free: core features including real-time glucose, graphs, statistics, logbook, alerts and family sharing. Premium: $9.99/month or $39.99/year, includes AI food scanner, AI insights, Apple Watch and Wear OS apps, emergency calling and PDF reports. Family plan: $59.99/year for up to 6 people.
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Key features
Care Circle for family and caregiver sharing with alerts
Glucose display on Lock Screen, Dynamic Island, Apple Watch and Wear OS
Time in Range statistics and trend analysis
AI food-photo carb estimate (premium)
AI pattern insights for diabetes management
Emergency phone call for urgent lows (premium)
Browser extension for Chrome, Edge, Firefox and Safari
Amazon Alexa integration for voice glucose queries
No-show Agent predicts appointment no-shows and conducts AI voice calls
Smart Problem List automatically identifies and codes medical problems
Clinical Data Transformer extracts structured SNOMED CT-coded FHIR data from clinical notes
Single API integration with EHR and hospital systems
Cloud-agnostic deployment as SaaS or on-premises
Support for open healthcare standards FHIR SNOMED CT ICD-10
EU-hosted with GDPR NEN 7510 ISO 27001 compliance
Vendor-neutral with no lock-in and model swapping capability
AI performance monitoring and audit trails
Patient data never used for model training
What makes it different
Built by founder with type 1 diabetes living with condition for 12+ years
Works with multiple CGM brands without extra hardware or new sensor
Vendor-neutral platform with no lock-in, allowing hospitals to integrate and swap AI models freely
EU-hosted and built for healthcare compliance including GDPR, NEN 7510, and EU AI Act
Open healthcare standards support enables seamless EHR integration through single API
Clinically validated solutions with 30% no-show reduction and 98% ICD-10 coding accuracy
Reviewable auditable output with physician validation before patient records
Sugar Sense
Coforix