Fitness plans that actually adapt.
An AI coach that rebuilds your training and nutrition around real life. Backed by real sports science.
Kinesiologist-designed · backed by CSEP and NASM
The week, rewritten
One signal in. A coached week back.
Sleep slips, soreness shows up, a session gets missed. Adptiv reads the change, redistributes load against your weekly target, and hands you back a plan you can actually train against.
Built on NASM's Optimum Performance Training model
AI guardrails built on kinesiology frameworks for safe, evidence-based recommendations
Beta launching publicly in 2026
Six things the plan does on its own
Plans from your intake
Answer a short intake and get a training and nutrition plan shaped around your goals and real schedule.
Low-friction logging
Log meals with a photo, barcode scan, or quick search. Track workouts with minimal tapping. The less friction, the more the plan has to work with.
Real-time rebalancing
Miss a workout or sleep badly, and the plan adjusts your week so the load still makes sense.
Progress without the noise
It tracks weight, strength, adherence, and fatigue over time and surfaces the trends that actually matter.
Safety built in
Built on NASM's Optimum Performance Training model. Every recommendation respects biomechanical limits and progression science.
Adapts around injuries
Report an injury or limitation and the plan reroutes around it, adjusting exercises, volume, and intensity to keep you moving safely.
Assess, adjust, repeat
A continuous cycle of assessment and adjustment. Your sessions and sleep change what it asks of you next.
Assessment
Diagnostics map your baseline from biometrics, history, and goals.
Calibration
It learns your capacity, schedule, and recovery so every week holds together.
Adaptation
The plan shifts with your sleep, strain, and nutrition as they change.
Optimization
Each block feeds back in, so the next one fits better.
How the science reaches your plan
Adptiv doesn't guess. Every plan is grounded in a library curated mainly by our kinesiologist co-founder, built from peer-reviewed research and gold-standard guidelines, and written to cover the edge cases real training throws at you.
1 · Building the knowledge base
Kinesiologist-led
The library is curated mainly by our kinesiologist co-founder, so real coaching judgment shapes what goes in.
Peer-reviewed only
Sources are grounded in peer-reviewed research and gold-standard guidelines, never blog posts or hearsay.
Every edge case
Injuries, deloads, travel, and plateaus are covered on purpose, not left for the model to improvise.
Cited and searchable
Each passage is stored with its citation in Supabase, ready to ground your plan.
2 · Grounding every answer
“Build me a knee-friendly hypertrophy week.”
Vector + keyword search finds the most relevant passages.
The AI builds your plan on that evidence, not generic guesswork.
Your plan is built on this evidence, not the model's guesswork.