The readiness signal coaches have been missing.

InnerLoop AI turns an athlete's daily voice memo into a clear readiness signal, backed by reasoning coaches can actually trust.

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9:41●●●
Daily check-in
How was today?
Tap to speak
Coach view · M. Tamm
Amber
Readiness dipped overnight — pull back intensity today
Voice tone
−0.6σ
HRV trend
↓ 12%
Sleep
5h 40m
Dissonance: said "feeling fine" — voice and HRV say otherwise. Suggest active recovery.
The Problem

Coaches aren't short of data. They're short of meaning.

The last decade gave coaching every sensor imaginable. None of them answer the only question that matters at 6am: is this athlete ready to push today?

Data Overload
Wearables flood, signals become noise
Coaches drown in HRV, sleep stages, and load metrics — but raw numbers don't tell them what to do next.
Survey Fatigue
Forms that athletes stop filling out
Daily wellness questionnaires get gamed within a week. The data is clean — and meaningless.
The Missing Layer
What the athlete isn't saying
How an athlete actually feels — stress, hesitation, confidence — never makes it into the system. That's where injuries hide.
"We don't need more data. We need to know what the data means for tomorrow."
— National-team head coach, pilot interview
The Solution

One voice memo in. A trusted recommendation out — with the reasoning.

Three layers. Built for the way coaches actually decide.

  1. 01
    Frictionless input
    A daily voice memo from the athlete—no forms, no scales, no scoring. Just their own words.
  2. 02
    Neuro-symbolic processing
    A neural layer extracts acoustic biomarkers. A symbolic layer applies deterministic sports-science rules. Every output is explained.
  3. 03
    Actionable output
    A clear Green / Amber / Red readiness signal for the coach — with the reasoning, the dissonance, and the recommended adjustment.
See it work

Hear the voice memo. Read the coach's view.

One loop, three views — athlete to coach and back.

Athlete voice memo
Tap a preset to play a sample memo
DEMO
0:00
0:07
"I feel fine today, ready to train hard."
Try a sample
Click a sample to start analysis.
Layer 1 · Neural
Acoustic biomarkers
extracted from voice
Speech rate—
Monotonicity—
Acoustic stress—
Why it holds up

Built for accuracy, not just correlation.

The neural layer captures what athletes don't say. The symbolic layer applies the same rules a senior sports scientist would. Every output is auditable.

External Load
The work performed (distance, tonnage, speed).
Internal Response
The physiological & psychological cost.
Perceived Wellbeing
Recovery status (sleep, mood, soreness).
Readiness
Next-day capacity synthesized for the coach.
loop repeats

By automating Internal Response and Perceived Wellbeing, the AI closes the loop — so coaches can prescribe External Load accurately for the next day.

The decision engine

From signal to call — in two layers.

Athlete Inputs
Biology
Hooper IndexsRPE
Psychology
DALDA
Social / Voice
Voice Biomarkers
Z-Score AnalysisPattern Recognition
Coach Dashboard
Hold
Monitor
Ready
The team

Builders, scientists, domain experts.

Kristo Reinsalu
Kristo Reinsalu
CEO
Lived the problem · PB 2:28 marathoner
Rainer Kuhi
Rainer Kuhi
CTO
15+ years scaling engineering teams at hyper-growth startups
Lauri Pildre
Lauri Pildre
CPO
15+ years crafting products used by millions
Karmen Reinpõld, PhD
Karmen Reinpõld, PhD
Chief of Sports Science
Sports science research & active coaching
Otto Mättas
Otto Mättas
Lead AI Researcher
Neuro-symbolic AI rigour from TalTech
Early access

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