TAANGO
Confidential · Seed Investment Deck · 2026
01 / 15
01 / 15
The retention operating system for independent gyms

Know who isabout to leave.

Taango turns real-world training behaviour into an early-warning system, giving gym operators time to save the member before the cancellation arrives.

Seed round · A$500K
02 / 15
The problem

Churn is not a cancellation event.
It is a decaying habit.

Member engagementTime → cancellation
01

Visit frequency drops, session timing shifts and gaps between workouts expand.

02

Generic gym software records attendance, but rarely turns changing behaviour into an action.

03

By the time the cancellation is visible, the highest-value intervention window has already closed.

Benchmark: 66.4% average annual retention in the HFA 2025 benchmarking report, equivalent to roughly one in three members leaving annually. Operator discovery: approximately 40–45 cancellations per month at one independent gym.
03 / 15
The economic pain

The invisible revenue leak is already inside the building.

1,200
A$65
34%
12%
A$38,189
Illustrative annual revenue retained
408
Members at risk each year
A$318K
Annual membership revenue at risk
Illustrative calculator only. Outputs use the user-selected assumptions and do not represent Taango pilot results.
04 / 15
Why now

Three shifts make a physical intelligence layer possible now.

01 · BehaviourRetention has become the growth lever.

Acquisition costs keep operators focused on getting more value from every member already paying.

02 · InfrastructureLow-cost NFC makes the physical layer practical.

Entry and exit can be captured without forcing staff or members into another manual workflow.

03 · IntelligenceApplied AI can turn patterns into action.

Models can detect behavioural change, prioritise risk and give operators a clear daily intervention list.

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The product

A closed loop from physical behaviour to human intervention.

TAP

Capture

NFC terminals record real entry and exit behaviour automatically.

AI

Understand

Taango learns each member’s normal rhythm and detects meaningful change.

ACT

Intervene

Operators see who needs attention, why they were flagged and what to do next.

Learn

Intervention outcomes improve the model and the next best action.

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The experience

One intelligence layer.
Two daily experiences.

TAANGO MEMBER09:41
72Consistency score

Your rhythm is building.

Three sessions this week. Tuesday evenings are becoming your strongest habit.

Gym capacity · Quiet now
Best time to train: next 45 minutes
Operator command centre

Members needing attention

Live signals
18At risk
7Act today
82%Habit stability
Sarah M.

Visits down 58% · 12 days absent

92 RISK
Daniel K.

Session length down · usual slot missed

84 RISK
Mia T.

Frequency declining for 3 weeks

76 RISK
Alex P.

Recovered after coach outreach

SAVED
Concept interface. Product design and model outputs are illustrative and will be validated during the MVP pilot.
07 / 15
The wedge and the platform

Start with churn.
Earn the right to become the gym operating layer.

Wedge · TodayChurn prediction

A sharp, measurable pain with an immediate revenue case.

Expand · NextAccess + member experience

White-label app, live capacity, community and phone-based access.

Platform · FuturePhysical intelligence network

First-party behavioural data powering retention, staffing, space utilisation and personalised member journeys.

08 / 15
Beachhead market

Big chains built their own stack.
The fragmented majority cannot.

86%Outside the two
largest groups
8,078

Gym and fitness businesses operating across Australia in the source market analysis.

A$3.7B

Australian gym and fitness centre industry revenue in the source market analysis.

Beachhead

Independent gyms and small franchise operators, typically one to five sites, with strong retention pain and no internal technology team.

Sources used in the original deck: IBISWorld Gym & Fitness Centre Operation in Australia; Anytime Fitness Australia network data; Viva Leisure FY2025 results. The 86% figure is a directional location-count derivation and should be refreshed during diligence.
09 / 15
Business model

Hardware opens the door.
Software compounds the value.

A$2,500Setup · two terminals + install
A$299Per gym · per month
A$6,088Year-one revenue per gym
Commercial footprint84
Annualised recurring revenue

A$301K

Pricing and break-even are management assumptions from the source deck. Hardware gross margin, installation cost, sales efficiency, churn and support burden remain to be validated.
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Competitive position

The opportunity is not another CRM.
It is owning the physical data layer.

Management platformsAccess systemsRecovrTAANGO

Taango’s intended distinction is first-party entry and exit data plus an action layer built for independent gyms. The pilot must prove that this data creates a durable accuracy or workflow advantage.

Recovr announced an approximately A$1M seed round led by JWW Capital in December 2025 and reports customers across boutique studios, multi-site groups and independent gyms. Competitive positioning should be tested directly with pilot operators.
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Traction and validation

Early evidence is enough to begin.
The pilot exists to earn conviction.

What we know

Operator discovery confirms retention is painful and current insight is weak.

One location reported approximately 40–45 cancellations each month.

The target customer lacks the capital and time to build a proprietary stack.

Comparable funding validates investor interest in AI-led gym retention.

What the seed round must prove

1

NFC data is reliable enough to create a useful behavioural baseline.

2

Risk flags predict meaningful disengagement before cancellation.

3

Operators consistently act on the daily workflow.

4

Intervention creates measurable retained revenue and willingness to pay.

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The seed round

A$500K to buy four proof points, not premature scale.

Round 1A$500K

Twelve months to build the MVP, run five to six pilot gyms and establish the evidence required for a commercial rollout round.

Indicative terms in source deck: approximately 20% equity, open to discussion
01
Working MVP

Contract product and engineering team, data infrastructure and operator dashboard.

02
Live hardware network

NFC terminals, installation and support across five to six pilot locations.

03
Validated retention signal

Behavioural baselines, prediction testing and intervention outcome measurement.

04
Commercial proof

Willingness to pay, implementation burden, case studies and a repeatable sales narrative.

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Evidence-gated roadmap

Every stage unlocks the next investment decision.

Months 0–3

Build

Core hardware, event pipeline, operator workflow and privacy architecture.

Gate: reliable sessions and usable dashboard
Months 3–6

Baseline

Five to six gyms live, member patterns established and operator behaviour observed.

Gate: signal quality and workflow adoption
Months 6–9

Predict

Risk model tested against actual disengagement and cancellation outcomes.

Gate: predictive lift versus simple rules
Months 9–12

Prove ROI

Intervention cohorts, retained revenue, case studies and paid conversion.

Gate: commercial rollout readiness
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Founder and execution model

Lean by design.
Honest about the execution risk.

Brandon Robins

Founder · Full-time

Hands-on across product, fundraising and operator relationships, directly project-managing contractors, schedule and budget.

Founder salary: A$0 in year one

The round funds a delivery system, not a bloated team.

Founder owns

Customer discovery, pilot relationships, product decisions, capital allocation and commercial proof.

Contract team owns

Hardware integration, application engineering, data pipeline and model implementation.

Critical control

Use milestone-based contracts, explicit IP assignment and an independent technical reviewer.

Post-proof hire

Convert the strongest technical function into an internal leadership role once product risk is reduced.

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The thesis

Every cancellation leaves a signal.
Taango acts before it becomes an exit.

Brandon Robins · Founder
taango.app
Seed Investment Deck · 2026

Visit Taango