The problem

More data should not mean more chaos

Modern sport produces huge amounts of digital data, but daily decisions often stay fragmented and reactive. MyPeak turns that noise into clear signals for the people responsible for performance.

More data should not mean more chaos

Rising non-contact injury risk
Higher competition density and training intensity increase the risk of preventable overload patterns.
  • More load with less room for guesswork
  • Early signals are usually scattered
  • Missed availability means lost performance
Too many subjective decisions
Coaches need context, not another isolated number. MyPeak helps connect subjective feedback with objective activity and recovery signals.
  • Less guesswork around readiness
  • One view instead of scattered apps
  • Better timing for load adjustments
Fragmented wearable data
Wearables, trackers and training systems collect useful signals, but without one layer they become operational noise.
  • Multiple devices and sources
  • Slow manual reconciliation
  • No shared picture for the staff
Reactive management
Teams often adjust plans after the problem is already visible. MyPeak helps staff act earlier using trend-based context.
  • Less post-factum firefighting
  • Faster alignment across staff
  • Clearer daily action points
The solution: MyPeak

A smarter performance layer

MyPeak connects data from wearables, training sessions and recovery workflows so staff can make faster, clearer and more consistent decisions.

Neuro-symbolic AI

Neuro-symbolic AI

Smart summaries

The platform highlights trends, risks and changes that matter instead of forcing staff to read every raw chart.

Fast team check

Four athletes show weak sleep and ACWR signals. Recommended: lower intensity or a recovery day.

Alex Morgan

Alex Morgan

4.2 h
1.05
1.8 PAL
3 /10
45 ms
52 bpm
Dmitri Volkov

Dmitri Volkov

5.8 h
1.45
1.9 PAL
7 /10
58 ms
48 bpm
Max Carter

Max Carter

7.5 h
1.85
1.6 PAL
3 /10
42 ms
54 bpm
Andrew Clark

Andrew Clark

7.8 h
1.12
1.7 PAL
9 /10
68 ms
46 bpm

Instant team view

Readiness and attention status across the roster in seconds.

Live training

00:45:12
Alex Morgan
110 bpm
54% 403 kcal
Dmitri Volkov
182 bpm
89% 462 kcal
Max Carter
170 bpm
86% 413 kcal

Live training control

Track effort during group sessions and adjust load while the session is still happening.

Athlete profile

Readiness 88
Ready
ACWR Load
Duration
9h 40m
Total TSS
460
ACWR
1.15
Optimum
0.5 1.0 1.8+
Time in HR zones
Total load
460 TSS

Weekly summary

PAL level
2,1

↑ Very high

Avg expenditure
4 480 kcal
Resting HR
42 bpm

↓ Lowered

Heart-rate variability
65 ms

↑ Optimal

Weight
72 kg

Stable

Jan 23 - Jan 29

Base period 2
Mon, Jan 23

Swim technique

Swim 06:30 1.8 km
45 min
TSS 35

Core and stability

Strength 18:00
40 min
TSS 20
Tue, Jan 24

Threshold intervals

Bike 17:00 45 km
1h 30m
TSS 85
Wed, Jan 25

Easy run

Run 07:00 8 km
50 min
TSS 45

Yoga and mobility

Strength 19:00
60 min
TSS 15
Thu, Jan 26

Tempo bike

Bike 17:30 35 km
1h 10m
TSS 65
Fri, Jan 27

Endurance swim

Swim 06:45 2.5 km
1h 00m
TSS 55
Sat, Jan 28

Long run

Run 09:00 18 km
1h 45m
TSS 110
Sun, Jan 29

Recovery ride

Bike 10:00 25 km
1h 00m
TSS 30

Athlete profile

A single card for history, readiness, training load and personal performance context.

Max Kamyshev
Ildar

Built by operators

More than 40 combined years in complex IT products and high-performance sport.

Built for global teams

MyPeak has no geographic ceiling. The operating model works wherever athletes train and compete.

How it works

Data-driven performance management

MyPeak automates collection, context and recommendations so teams can act in real time.

Integrate and collect performance signals

The system aggregates load, activity, recovery and readiness-related signals from devices and team workflows, validates them and prepares them for analysis.

  • Import from leading device ecosystems
  • Automatic quality and completeness checks
  • Standardized metrics for one shared view
MyPeak Logo
Garmin
Polar
Apple Watch
Suunto
Samsung
Xiaomi
Whoop
Fitbit
Oura
Neyrox

Analyze trends and context

MyPeak compares current signals with each athlete's own baseline and highlights changes that can affect workload, recovery and planning.

  • Training load and energy expenditure
  • Sleep, HRV, resting heart rate and recovery trends
  • Self-reported wellness, RPE and logged measurements
9:41

Neuro-symbolic AI

See team status in seconds

The platform turns analysis into a clear status for each athlete, helping staff decide who needs attention, who needs a lighter day and who is ready for planned work.

  • Immediate attention list
  • Light correction candidates
  • Athletes cleared for planned load

Fast team check

Four athletes show weak sleep and ACWR signals. Recommended: lower intensity or a recovery day.

Alex Morgan

Alex Morgan

4.2 h
1.05
1.8 PAL
3 /10
45 ms
52 bpm
Dmitri Volkov

Dmitri Volkov

5.8 h
1.45
1.9 PAL
7 /10
58 ms
48 bpm
Max Carter

Max Carter

7.5 h
1.85
1.6 PAL
3 /10
42 ms
54 bpm
Andrew Clark

Andrew Clark

7.8 h
1.12
1.7 PAL
9 /10
68 ms
46 bpm

Control load during live sessions

The Bluetooth-enabled training module supports group sessions indoors or outdoors and helps coaches keep effort within the intended range.

  • Connect heart-rate sensors
  • Sync live or after the connection returns
  • Calculate calories and training load on the fly
  • Show live data in each athlete card
  • Capture RPE and subjective feedback
  • Adjust load during the session

Live training

00:45:12
Alex Morgan
126 bpm
65% 409 kcal
Dmitri Volkov
152 bpm
75% 557 kcal
Max Carter
141 bpm
71% 629 kcal
Andrew Clark
189 bpm
93% 639 kcal

Start today

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