~Product
One dashboard for the patient you only see monthly.
Patients log in Redu. GlucoSolutions turns that raw behavior into sourced interpretation. You act on it, prepped for every session, connected between them.
01 · The interpretation engine
How we turn raw logs into something you can trust.
Two layers, kept deliberately separate. The result: no invented numbers, no hallucinated trends.
Layer 1: Facts, computed and tagged
A deterministic layer computes facts directly from the data and tags each one with the exact readings behind it. Numbers come from arithmetic, not a language model.
Layer 2: Narration, constrained to the facts
A separate layer writes the plain-English summary, constrained to only say what the facts support. It explains; it never invents.
Maya's afternoons run higher on days she skips her morning walk.
14 days of glucose readings + step logs from Redu.
Afternoon average 138 mg/dL on no-walk days vs 116 on walk days.
Flagged 3 of 4 no-walk days exceeded the 140 target. You can open every reading behind it.
Every claim is a sourced fact, not a guess.
02 · The loop
Patients log. You see what matters.
- MealsPhoto or quick entry
- GlucoseFinger-prick or CGM
- StepsAuto from phone
- SleepNightly summary
Most patients aren't on a CGM, so manual glucose entry is fully supported, and logging consistency is tracked so you know how much to trust the picture.
- Behavior timelineGlucose overlaid on meals, steps, sleep
- Drift flagsSurfaced before they become setbacks
- Session-prep summaryWhat changed since last visit
- In-app messagingStay in touch between visits
03 · What it does for you
Three jobs, honestly labeled.
Workflow automation
Pre-session summaries and auto-organized logs cut the admin around every appointment. You walk in already knowing what changed, so chart review stops eating your unpaid hours.
Between-session continuity
A live, day-to-day view of patient behavior. Message in-app, answer questions in context, and catch drift in week two instead of week four.
Outcomes reporting
One-click, physician-ready reports covering A1c trends, adherence, and behavior change, formatted to win the next referral. Building this now with our launch RD.
04 · Roadmap
Where this is going.
We build in the open with our launch RD. No public dates, just the honest order of things.
- NextPhysician-ready outcome exports
- NextDeeper drift detection across meals and activity
- LaterTemplated referral summaries by specialty