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Tiny Studios

Tiny Studios provides a studio management and decision-support platform for dance studios, combining scheduling, payments, and CRM with machine-learning-driven churn prediction and pricing intelligence. The platform learns from dance-specific workflows like age-based progression and seasonal rhythms, and offers anonymized industry benchmarks to help owners validate pricing, retention, and staffing decisions.

Traction –/10
HQ unknown
450+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Software Only
Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Dance studio owners juggle scheduling, payments, staffing, and retention while also managing the creative and community aspects of their business, leaving them overloaded with fragmented data and complex administrative decisions that pull attention away from their dancers.

Solution

Tiny Studios is a studio management and decision-support platform that handles the operational complexity of running a dance studio, from scheduling and payments to churn prediction and pricing intelligence. Unlike traditional studio software that merely logs past activities, Tiny uses machine learning to analyze fragmented data and provide clear, actionable guidance on what should happen next. The platform learns from dance-specific workflows—including age-based progression, class economics, seasonal rhythms, and parent behavior—so its recommendations become more accurate the longer it is used. Additionally, Tiny provides anonymized industry benchmarks that let studio owners compare their pricing, retention, and staffing metrics against similar studios to validate their strategies.

Target Audience

Primary customers are dance studio owners and operators, ranging from small independent studios to growing studio networks, who seek to automate administrative tasks and gain data-driven insights for business decisions.

Features

  • Comprehensive studio management covering scheduling, payments, attendance, staffing, and communication unified into a single source of truth
  • Churn prediction and pricing intelligence that turns operational data into actionable decision support
  • Machine-learning models trained on dance-specific workflows including age-based progression, class economics, seasonal rhythms, and parent behavior
  • Anonymized benchmarking against similar studios to evaluate pricing, retention, and staffing performance
  • Tempo, a decision-support assistant with Basic, Standard, and Advanced tiers that surface pricing insights, churn prediction, schedule optimization, and staffing alerts
  • Platform scales from single tiny studios to growing multi-location networks with cross-location optimization and scenario modeling
This profile is AI-generated and may contain inaccuracies.