Game, Set, Match: How Mission Optimized SwingVision's Cloud Infrastructure to Fuel Growth and Innovation

SwingVision, an AI sports company revolutionizing tennis, pickleball, and padel through automated video highlights, coaching, and officiating, partnered with Mission to optimize its AWS infrastructure and reduce operational costs. Through Mission's world-class services and tooling, SwingVision achieved significant cost savings, prevented budget overruns, and gained critical bandwidth to focus on product development. This partnership has positioned SwingVision for success in future funding rounds and empowered the company to pass savings directly to customers.

SwingVision delivers professional-grade sports analysis and officiating through an iOS app, bringing the Grand Slam center court experience to recreational athletes everywhere. The company provides real-time, automated match highlights, performance analysis, and line calling across tennis, pickleball, and padel, democratizing sports analysis for players at every level.

As SwingVision scaled rapidly, AWS infrastructure management fell entirely on co-founder and CTO, Richard Hsu. The company needed specialized AWS expertise for growing complexity that was stretching internal resources thin and creating bottlenecks in both operations and strategic initiatives.

AWS introduced Mission to SwingVision as a premier partner capable of providing comprehensive support. The recommendation came from SwingVision's AWS manager, who recognized the company's growing needs. Mission's value proposition included built-in AWS support without requiring a separate support plan, consistent team members who maintained a deep understanding of SwingVision's architecture and goals, and flexible engagement models spanning managed services to professional consulting.

SwingVision chose AWS after starting with free credits and recognizing the platform's alignment with their technical requirements. The breadth of AWS services proved critical for their operations, particularly in machine learning capabilities for GPU-intensive processing, robust media conversion tools for handling extensive video and image workflows, and scalable storage infrastructure that supports their large data footprint across S3 and other services.

Mission deployed a comprehensive approach centered on their Mission Cloud Foundation managed service and Vega’s cost optimization platform. The team established regular cadences with Richard and his engineering team, providing reliable support through a ticketing system that distributed AWS expertise across the organization rather than concentrating it in one person. Mission’s Technical Account Manager (TAM) worked closely with Richard to analyze their architecture and identify optimization opportunities. The Vega platform's anomaly detection capabilities became instrumental in catching spending irregularities before they escalated. When a misconfigured package routed S3 data through the public internet instead of AWS's internal network, Vega alerted the team to a sudden spike. The Mission TAM helped Richard drill down into the cost breakdown, teaching him more effective use of the platform while identifying the root cause. This collaborative approach prevented what could have become a recurring expense. Similar detective work caught GPU instances running longer than necessary, averting another substantial cost increase. Beyond reactive problem-solving, Mission proactively reviewed SwingVision's infrastructure design, recommending architectural improvements that balanced performance with cost-effectiveness. The team empowered SwingVision's engineers to work more independently with AWS while maintaining Mission as a reliable escalation path.

The partnership has delivered measurable financial and operational benefits that directly support SwingVision's fundraising efforts. Mission helped SwingVision avoid approximately $30,000 in wasteful spending through anomaly detection and rapid response to configuration issues. The company achieved cost reductions of 10-15% below their original budget projections while maintaining performance standards. These savings enabled SwingVision to pass discounts to customers through aggressive promotional pricing, increasing product accessibility during economic uncertainty for consumers.

Beyond pure cost metrics, the partnership freed up bandwidth for key resources to return to strategic work and hands-on coding rather than infrastructure firefighting. His team gained confidence working with AWS through Mission's support system, breaking the single-point dynamic that had constrained operations. The consistent relationship between teams meant Mission maintained institutional knowledge about SwingVision's environment, eliminating the context-switching overhead that often comes with rotating support engineers. SwingVision values the optionality Mission provides, knowing professional services stand ready for future initiatives, like livestreaming and sports betting features on the product roadmap. The combination of cost discipline and operational flexibility has positioned SwingVision to demonstrate both growth potential and fiscal responsibility to investors, and provide an improved product to their customers.