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colabsports
Athlete movement sequence used to explain CoLab Sports motion intelligence
Public IP MapInvestor-safeNo formulas exposed

CoLab Sports IP Map

A public-facing map of the systems behind CoLab: motion proof, athlete analytics, coaching loops, academy packaging, and commerce paths that keep the next action attached to what the athlete just did.

Positioning

Moat first, implementation second.

This page explains what CoLab has built without publishing private benchmark tables, admin-only controls, provider details, or fragile heuristics. LAB is the primary analytics contract. AEON, POWER, Trace-era artifacts, and other legacy fields are supporting context.

Core IP

The named systems customers and investors can understand.

LAB stays canonical
Core system

Movement proof

echo / Motion Stack Analysis

A coaching layer that turns short athlete video into movement phases, scored context, cue paths, and next actions. Trace remains legacy/internal naming; the public product language is ECHO.

Where it shows up

Clip capture, phase review, coach cue routing, team packages.

Canonical

Canonical analytics

LAB

The athlete decision anchor: Load, Adaptation, and Bounce. LAB keeps readiness, learning quality, and motion quality in one explainable hierarchy with confidence attached.

Where it shows up

Athlete status, coach snapshots, analytics summaries.

Supporting

Supporting views

AEON + POWER

AEON radial views and POWER profiles are useful drill-downs for skill learning, sport-specific work, goals, and capacity. They should support LAB rather than compete with it as the headline score.

Where it shows up

Performance sheets, power profile cards, coach context.

Product layer

Cue response

HERO

A cue and response path built from saved ECHO sources. HERO carries the coaching moment into voice, narrative, feedback, and the next athlete action.

Where it shows up

Academy feedback, clip response, coach narration.

Product method

Strategy engine

Playbook Patterns

Sport-specific pattern cards and heatmaps for tennis, swimming, and triathlon. Patterns turn athlete context into practical structures, pressure scenarios, cues, and risks.

Where it shows up

Playbook strategy, academy pattern generation, heatmaps.

R&D to product

Reference intelligence

Gnosis

A GOAT/reference movement model for comparing athlete motion to sport-specific ideals, without reducing coaching to imitation. It identifies meaningful gaps and phase priorities.

Where it shows up

Reference scoring, GOAT comparison, movement roadmap.

Core workflow

Comparison layer

Mirror + reverb

Mirror aligns two clips for side-by-side review. Reverb summarizes motion similarity across timing, path, angles, and smoothness in coach-friendly language.

Where it shows up

Filmroom compare, phase gaps, coach review.

Capture standard

Clip substrate

BURST

A short-form capture and taxonomy layer for sport, view, skill, environment, athlete, and tags. BURST keeps raw movement moments small enough to analyze and compare.

Where it shows up

Filmroom upload, clip intake, ECHO source prep.

Applied analytics

Video tests

POWR / bounce Testing

POWR video-derived jump, agility, broad jump, and VBT testing that feeds motion-quality signals into Bounce and broader LAB analytics.

Where it shows up

Testing page, training toolkit, movement summaries.

Additional IP Clusters

The surrounding systems that make the platform defensible.

Assistant system

Knowledge loop

Smart loop / PK

A creator-knowledge and athlete-context loop that turns uploaded methods, session state, products, and performance material into practical coaching next actions.

Where it shows up

Smart coach, PK agent, academy-specific assistants.

Workflow IP

Review workflow

Loopmark / Filmroom

The video review layer that keeps clip capture, mirror comparison, ECHO output, coach notes, roster context, and the next session in one workflow.

Where it shows up

Filmroom, Performance Lab, team review.

Benchmark layer

Runtime bands

Vision Benchmark Bands

Versioned sport, skill, phase, and view-specific benchmark profiles that make vision analysis readable as ranked coaching context.

Where it shows up

Vision Analysis cards, ECHO phase rankings.

Scoring module

Ball and rotation

DUPIN

A ball-sport and rotational scorecard for line, separation, sequencing, velocity, lower-body power, upper-body power, and sport expression.

Where it shows up

Tennis, golf, ball motion, rotational skill review.

Experimental

Human signal R&D

Muse Joy + Neuro Lab

Experimental affect, movement-context, and mirror-neuron research surfaces. These labs explore how attention, joy, motor context, and perception can support learning.

Where it shows up

R&D, future learning signals, academy experiments.

Spatial pipeline

Spatial proof

6DoF / XR / Depthflow

Spatial rendering and reconstruction workflows that turn movement media into depth-aware, reviewable scenes and package-ready learning assets.

Where it shows up

ECHO spatial, XR pipeline, 6DoF package outputs.

Packaging system

Commerce to performance

Bentos, Kits, Blocks, Stacks

Reusable product storytelling systems that connect gear, memberships, training blocks, recovery, content, and checkout to the athlete's performance context.

Where it shows up

Product pages, kits, concept offers, branded stacks.

Distribution model

Entitlement IP

Academy + Team Packaging

Membership, assignment, sponsored-team, and academy access flows that package coaching knowledge, ECHO content, and team workflows around who should see what.

Where it shows up

Academies, team licenses, ECHO assignments.

Where It Lives

The IP is distributed across product, lab, and packaging surfaces.

View component gallery

Operator surface

Admin Labs

Internal workspaces for validating Gnosis, POWER, vision bands, Muse Joy, Neuro, XR, ECHO metadata, and product systems.

/app/admin/app/admin/gnosis/app/admin/power/app/admin/vision-benchmarks

Movement surface

Filmroom / ECHO

The clip review and motion stack layer: BURST intake, Mirror, Reverb, ECHO packages, spatial review, and coach-facing proof.

/app/filmroom/app/filmroom/trace/app/trace/mocap_ECHO

Athlete surface

Testing / Training / Playbook

The applied performance layer for POWR, Bounce, LAB, patterns, readiness context, personal bests, and session planning.

/app/testing/app/training/app/playbook/app/calendar

Public product surface

Performance Lab

The public framing for Smart Loop, Loopmark, ECHO Studio, GOAT references, blocks, stacks, and the product narrative.

/performance_lab/performance_stacks/performance_loop/brandcomponents

Packaging surface

Commerce / Academy

The route layer for kits, memberships, academies, team access, branded products, and commerce attached to performance use.

/shop/kits/membership/academies/teams

Brand Architecture

Terms that need to stay consistent.

Term
echo

Public movement product

Use ECHO for Motion Stack Analysis. Treat Trace as legacy/internal terminology where older code and package paths still exist.

LAB

Headline analytics contract

LAB should remain the primary athlete status model. Readiness, AEON, POWER, Trace, and legacy scores belong underneath it.

POWER

Supporting capacity view

POWER explains strength, work, capacity, and mobility/stability context. It should not replace LAB as the main decision anchor.

POWR

Applied testing protocol

POWR is the video-test layer for jump, agility, broad jump, and VBT captures that feed Bounce and LAB.

reverb

Similarity language

Reverb is the public-friendly language for movement comparison, closeness, timing, path, and smoothness.

bounce

Biomechanical pillar

Bounce is the user-facing biomechanical state inside LAB and replaces older internal CME language.

loop

Context loop

Loop is the cross-product pattern that keeps plan, proof, product, coach, and next action connected.

Public Boundary

Explain the invention space without giving away the operating manual.

Keep this page focused on product methods, language, and system relationships. Legal filings, exact score weights, private benchmark tables, and admin-only validation controls should remain in internal documents.