Chillshark

Smart Cold Plunge, Smarter Engineering

$1.5MSeed Funding

IoTHardware + Software

MLRecommendations Engine

Chillshark case study - Smart Cold Plunge, Smarter Engineering | IoT / HealthTech MVP Development

01The Challenge

Led end-to-end product development of a smart cold plunge system, combining IoT hardware, embedded firmware, ML-powered recommendations, and mobile app integration.

Complex IoT system requiring hardware-software integration
Need for real-time monitoring and control
Machine learning for personalized user experiences

02What We Did

Embedded firmware and hardware/software integration for real-time monitoring and control
Cross-platform Flutter companion app
ML-powered personalized session recommendations
Cloud infrastructure, OTA update path, and manufacturing + provisioning automation
The product analytics pipeline behind the device

03The Approach

Discovery

2 weeks

Hardware requirements
System architecture
ML feasibility study

Build

16 weeks

Embedded firmware
Cloud infrastructure
Mobile app

Launch

4 weeks

Beta testing
ML model training
Production deployment

04Tech Stack

FlutterNode.jsTensorFlowKubernetes

PreviousSharpDuel

Next3D Print Bounty

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