Why separate health metrics suck
Context-free data. Context-free results
Your cholesterol is "normal", but normal for who? A 25-year-old athlete or a 55-year-old with a family history? Generic lab ranges ignore your baseline. Result? Cookie-cutter advice that misses what you actually need.
"Normal" today. Crisis tomorrow
Without your personal baseline, subtle red flags can masquerade as 'normal variations'. Meanwhile £50 fixes become £5,000 emergencies.
No feedback. No progress
Change the diet, add supplements, sleep more… but what actually worked? Disconnected data can't link actions to outcomes, so you repeat what fails and abandon what helps.
How we make your health data
work together
Unified context. One timeline, one plan
We connect your baseline (goals, background) with lab biomarkers, and behaviour data (sleep, exercise, nutrition) on a single timeline. So you aim at optimal targets relevant to you - not population 'normal'.
Detect early. Act early
No single metric carries the truth. Combined signals reveal small shifts sooner and filter false alarms, so you can course-correct before issues become hard (and expensive) to fix.
Close the loop. Get your beta
Baseline • Execute • Track • Adjust • Set your baseline, make a targeted change, track key metrics, then adjust with evidence. Weekly digests combined and adaptive coaching help you keep what works, drop what doesn't, and stack improvements over time.
What data we integrate
*Grayed out data inputs are coming soon
What you get
Micro-example #1
Risk of overreaching
What We Found:
Your inflammation markers (CRP and CK) are elevated, while sleep has dropped to 6.2hrs during heavy training
Why This Matters:
Injury risk jumps significantly when recovery can't keep up with training stress
Do This:
Add 1 rest day + aim for 8+ hours sleep this week
Micro-example #2
Protein and late dinner drag
What We Found:
You're eating 85g protein daily, while your target should be closer to 120g. Majority of dinners are late and close to your bedtime + late dinners past 9pm
Why This Matters:
Muscles can't repair properly, while late eating cuts sleep quality
Do This:
Hit 120g protein daily + finish eating 3 hrs before bed
Micro-example #3
Quiet cholesterol alert
What We Found:
Cholesterol is high despite your regular exercise routine (likely due to genetic factors)
Why This Matters:
Exercise alone won't overcome your genetic predisposition to elevated LDL. Other lifestyle interventions are needed
Do This:
Add 10-15g of soluble fibre (see examples); keep your current training
How it works
Book your blood test
Choose a nearby partner pharmacy to collect your blood. We run a longevity-focused panel to set your baseline
No fiddly finger-prick kits - a proper venous draw for accurate results
Build your health profile
Complete the lifestyle questionnaire (goals, meds, habits) and sync your wearable data
Context turns 'normal' lab ranges into insights tailored to YOU
Get your integrated report
One clear report combining your background, lifestyle, labs, and wearable data - personal insights, key patterns, and evidence-tagged next actions
Not more cookie-cutter advice
Follow your beta
Weekly digests show what's changing and your next best move. Retest in 6 months to confirm progress
Keep what works, drop what doesn't, compound improvements