Lose
Aim for a sustainable deficit below learned energy needs, while weight trend helps show whether the plan is moving in the intended direction.
In development for iPhone
Track what you eat. Learn what you burn. See the balance.
Losing, gaining, and maintaining weight all depend on energy balance over time. Quevro brings calories in and estimated energy out into one adaptive view, so your targets can follow your data and goal—not a permanent generic guess.
Pre-launch product preview. No App Store release date has been announced.
Quevro
Today
Your calorie balanceNet energy balanceLearning your range
Calories inEst. outNet
Estimated energy outAdapting
Learns over timeMore complete days help
Daily burn estimateEvidence over time
GoalYour directionLose · maintain · gain
TargetAdaptiveGradual · explained
Illustrative interface—not measured results.
The Quevro loop
Calories in is only half the picture.
Quevro is designed around a repeatable feedback loop that connects what you eat with an evolving estimate of what you burn. No single meal, workout, or weigh-in decides your target.
- 01
Log what you eat
Record calories and macros. Review and edit every estimate before it becomes part of your day.
- 02
Add activity context
Optionally bring in steps, workouts, and energy data from Apple Health as supporting evidence—not a perfect burn measurement.
- 03
Record weight
Use weigh-ins to build a trend that is less reactive to normal day-to-day water changes.
- 04
See the balance
Bring calories in and estimated calories out together to show a likely deficit, maintenance range, or surplus.
- 05
Learn energy out
Refine the daily expenditure estimate gradually as observation time, log coverage, and data quality improve.
- 06
Adjust for your goal
Phase in calorie-target changes for losing, maintaining, or gaining weight—and explain the evidence behind them.
One balance. Three directions.
Lose, maintain, or gain with the same honest feedback loop.
Your goal changes the direction of the target—not the underlying logic. Quevro is designed to compare logged intake with estimated expenditure and weight trend before suggesting gradual adjustments.
Maintain
Keep intake near your evolving expenditure range instead of relying forever on a one-time maintenance calculator.
Gain
Plan a measured surplus above learned energy needs, then use trend and confidence to avoid reacting to daily scale noise.
Energy expenditure, calorie balance, targets, and projections are estimates—not guarantees or medical advice.
Evidence, not theater
The burn side is estimated—then improved with evidence.
No phone or watch directly measures your total daily burn. Quevro plans to learn from the longer-term relationship between logged intake, trend-weight change, and elapsed time. Wearable activity can add context, but it is not treated as exact.
Read the science approachPrimary evidence
Intake + weight trend + time01
Observed together across multiple windows, with missing or incomplete days explicitly accounted for.
Supporting context
Apple Health activity02
Optional steps, workouts, active energy, and resting energy—used carefully to avoid double-counting.
Confidence you can see
A changing estimate should show its work.
Quevro’s planned confidence model reflects how much usable evidence exists—not how certain a generic algorithm sounds.
- 1
Learning
The estimate is still anchored mostly to onboarding inputs.
- 2
Low
Some usable observations exist, but gaps or limited time constrain the model.
- 3
Moderate
A steadier intake and weight-trend pattern is becoming visible.
- 4
High
Multiple windows agree and recent data quality remains strong.
Trend over snapshots
Recommendations use smoothed trend weight, not a single scale reading.
Gradual updates
Large target changes are phased in instead of arriving as unexplained jumps.
Missing data matters
Incomplete logging lowers confidence rather than silently creating false precision.
Health data deserves restraint
Optional connections. Editable estimates. Clear boundaries.
Quevro is being designed so the core experience works without Apple Health. AI-assisted food estimates are drafts for review, not facts. Health and nutrition information is sensitive, and the product is not a medical device or diagnostic service.
Quevro is in development
Choose the direction. Learn the balance.
Quevro is being built to make calories in, estimated energy out, and goal-aligned targets easier to understand—without hiding uncertainty.