endorsedCompletedWinbets.ai MVP — AI Chatbot & Full-Stack Development
Services Covered:
Industry
Sports & Entertainment
Duration
8 months
Budget
Confidential
Start Date
1 January 2024
Team Size
6-10
Engagement Model
Offshore
Project Capability Score (PCS)
81/100
Strong
Project Capability Score (PCS) estimates how capable Viso is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
Winbets.ai
San Diego, United States of AmericaProject Summary
Viso served as the primary development partner for the Winbets.ai MVP, delivering full-stack web development, AI chatbot integration, system architecture planning, and QA/testing. The vendor built core platform features including real-time odds integration, user authentication, and a conversational AI assistant. The team delivered the MVP on a tight timeline with solid test coverage and deployment pipelines, and was noted for responsiveness and technical acumen.
Key Challenges
- Full-scale MVP launch within 7 months from hire to launch
- Build iOS and Android apps from concept to launch
- Prepare and conduct AI training and integration for predictions
Project Deliverables
- Backend API using Next.js with Prisma and tRPC
- Frontend UI built with Next.js, TailwindCSS and ShadCN components
- Deployment pipelines configured on Vercel with GitHub Actions
- OAuth2 authentication implementation (Google/Apple via Next-auth)
- Database schemas for users, odds, matches, and chats (PostgreSQL)
- Chat UI and Clutch AI assistant integration with OpenAI GPT models
- Gradient boosting prediction model (Python / Scikit-learn)
- Real-time odds integration via WebSocket/Webhook
- Usage logging and chat history storage for AI fine-tuning
- Automated unit and end-to-end tests (70%+ UI coverage)
- Performance optimization and launch preparation
Project Solution
VISO was contracted as the primary development partner to build the Winbets.ai MVP. They executed end-to-end full-stack development using Next.js and TypeScript, implemented OAuth2 authentication (Google/Apple), modeled and migrated PostgreSQL schemas, and set up Vercel deployment pipelines with GitHub Actions. The team integrated OpenAI GPT models for a conversational assistant (Clutch), developed a Gradient Boosting classifier in Python (Scikit-learn) for predictions, connected prediction logic to the chat via function-calling, integrated live odds feeds, implemented usage logging for future AI training, and built automated unit and end-to-end tests and performance optimizations ahead of launch.
Project Outcome
- VISO delivered the full Winbets.ai MVP within a tight 7–9 month timeline
- Built core platform including real-time odds integration, user authentication, and a working AI assistant
- Implemented deployment pipelines and achieved solid test coverage and backend infrastructure for logging and AI training
- Client reported the team was responsive, technically sharp, and consistently met milestones
Platforms
Mobile
Web
Cloud
Tech Stack
Next.js
TypeScript
Tailwind CSS
PostgreSQL
Python
Scikit-Learn
Vercel
GitHub Actions
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
5 out of 5 starsTimeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Viso successfully delivered the MVP within a tight timeline. The team was responsive, technically sharp, and consistently hit key milestones. Ultimately, Visos' impressive work, combined with their solid test coverage and backend infrastructure, made them a valuable partner.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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Agency name:
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Project capability score (PCS):
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