From Concept to Funded: How a US Startup Launched an AI-Driven Sports Betting App in 6 Months
Industry iGaming Technology, AI
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$10B+ Client Revenues
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12+ Successful Years
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1000+ IT Ninjas
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5000+ Projects
The AI/ML Rapid-Prototype Pod from Developers.dev was the perfect fit. They weren't just coders; they were partners who understood our data science needs. They built the secure, scalable infrastructure that allowed our models to shine, and their expertise in the US regulatory landscape was invaluable. We wouldn't have closed our Series A without the incredible product they helped us build.
Sarah Jenkins, Founder & CEO, BetSmart.ai
A well-funded tech startup based in Austin, Texas, founded by a team of data scientists and sports enthusiasts. Their vision was to create a "smarter" betting platform that used machine learning to provide users with personalized insights, predictive analytics, and dynamic bet suggestions, moving beyond traditional sportsbook offerings. They had the AI models but needed a robust, scalable, and compliant platform to deliver them to the US market.
The client had a brilliant, proprietary AI engine but lacked the in-house expertise to build a full-stack, secure, and compliant sports betting application that could pass stringent regulatory checks and handle the demands of a US-wide launch.
Needed to launch an MVP within 6 months to secure Series A funding.
Required seamless integration of their custom Python-based AI models with a high-performance betting engine.
Had to navigate the complex, state-by-state legal framework for sports betting in the USA.
The platform needed to be built from day one to handle exponential user growth post-launch.
We deployed a dedicated "AI/ML Rapid-Prototype Pod," a cross-functional team composed of a solutions architect, two Python data engineers, a mobile app developer (Flutter), a backend specialist, and a compliance expert.
We adopted a two-week sprint cycle, allowing for rapid iteration and continuous feedback.
We designed a cloud-native backend on AWS using microservices, allowing the AI engine to operate independently for easy updates and scaling.
Our expert built-in KYC/AML workflows and state-specific geo-fencing from the very first sprint.
We used Flutter to develop a high-performance mobile app for both iOS and Android simultaneously, saving valuable time and resources.
Deep-dive discovery, architectural design, and compliance roadmap.
Core backend development, database setup, and AI model API integration.
Front-end development in Flutter, connecting the UI to the backend services.
Rigorous QA, penetration testing, and integration with payment gateways and sports data feeds.
Beta launch in a single state (New Jersey) for real-world testing.
Final polish, app store submission, and successful public launch.
Successfully launched in 3 US states within 8 months of the project start.
Acquired over 50,000 users in the first 3 months post-launch.
The platform maintained 99.99% uptime and handled peak traffic during major sporting events without issue.
The app was featured on major tech publications for its innovative use of AI in sports betting.
By combining the client's visionary AI with our mature development and compliance expertise, we were able to create a truly disruptive product that met its critical business goals. This case demonstrates our ability to act as a strategic partner, not just a vendor, for innovative startups.