CGM data in.
Chart-ready notes out.
Ekabolic transforms continuous glucose monitoring data into AI-generated clinical documentation with per-sentence provenance, built for endocrinologists, diabetes educators, and PCPs managing diabetes.
Why now
CGM adoption is outpacing clinical workflow
More patients on CGM means more data to interpret, but documentation still happens manually. Providers spend valuable encounter time narrating glucose patterns aloud or scrolling through AGP reports to write A&P notes by hand.
AI that reads the glucose, writes the note
Ekabolic ingests Dexcom and Libre data, computes deterministic glycemic metrics, detects 16+ pattern types across 24-hour and 14-day windows, and composes draft A&P documentation before the encounter starts.
Review, edit, paste. Encounter time reclaimed.
Every sentence traces back to specific patient data, not a generic summary. Review the draft, make edits, and paste directly into your EHR. Documentation that used to take 8 to 12 minutes per CGM patient now takes under 2.
Capabilities
From raw glucose to clinical narrative
A deterministic compute pipeline feeds structured data to constrained AI composition, so you get traceable, editable documentation, not a black-box summary.
Deterministic Glycemic Metrics
Dual-Window Pattern Detection
AI-Composed Clinical Documentation
EHR-Paste-Ready Output
The science
Deterministic by design.
Composed with intent.
Raw sensor values become published-algorithm metrics, then confidence-scored patterns, then a structured note. The math is reproducible, the prose is constrained, and every claim stays anchored to the signal it came from.
How it works
Three steps. Under two minutes.
Connect CGM
Link your patients' Dexcom or Libre accounts. Data syncs automatically before each encounter.
Open encounter
Metrics compute, patterns surface, and a draft clinical note generates, all within seconds.
Review & paste
Edit the AI draft as needed, then paste directly into your EHR. Every sentence traces back to the data.
Why Ekabolic
Not another CGM dashboard
Existing platforms show you the data. Ekabolic interprets it, documents it, and gives you a draft you can review and paste, so the encounter is about the patient, not the paperwork.
Built for clinical trust
AI you can verify, not just trust
HIPAA-compliant by design
No PHI in logs, no PHI in email. Built for clinical data from day one.
Deterministic, not stochastic
Metrics and patterns are computed with published algorithms. The LLM never touches the math.
Provider-in-the-loop
Every output is a draft. Mandatory review before anything reaches the chart. No autonomous actions.
Provenance, not vibes
Per-sentence evidence IDs link each claim to the specific CGM data that generated it. Audit-ready.