Company
What happens when Instagram aesthetics meet DeepMind intelligence? You get June AI—a platform that's democratizing luxury event design. Their founding team from Instagram, DeepMind, and IDEO built tools that let planners create stunning events ten times faster than traditional methods.
The Challenge
June AI's rapid growth exposed the limits of their MVP architecture. With an investor demonstration scheduled in two months, they needed to upgrade their infrastructure to handle increasing user demand and more sophisticated AI features. The founding team brought strong product vision and design expertise but needed specialized engineering talent to architect a scalable platform. With 70% of event planners already using AI tools (Source: Market.us), June AI needed to ensure their platform could deliver reliable, enterprise-grade performance.
The Solution
A.Team matched June AI’s requirements to Raul Gallegos, a full-stack engineer with extensive generative AI experience. His background in scaling AI-powered platforms made him the ideal fit for June AI's ambitious timeline.
Gallegos established automated deployment pipelines through Vercel, enabling continuous shipping instead of weekly releases. He championed Pinecone as the vector database solution, recognizing its importance for delivering near-instantaneous design recommendations. Rather than building in isolation, he involved the founding team in every technical decision, explaining architectural choices and ensuring knowledge transfer. This collaborative approach meant June AI gained not just a rebuilt platform but also the internal capabilities to maintain and extend it.
Technologies used:
Next.js: Modern React framework enabling rapid feature development
Vercel: Automated deployment infrastructure with instant preview environments
Pinecone: Enterprise vector database powering AI design recommendations
TypeScript: Type-safe development reducing production errors
Tailwind CSS: Accelerated UI development with consistent design system
“I rebuilt the platform while educating the team on best practices and getting everyone involved in the full product lifecycle."
— Raul Gallegos, A.Team Full-Stack Engineer
The Results
The technical transformation positioned June AI for successful fundraising and sustainable growth in the competitive event planning market.
Investor Success
Delivered a production-ready platform demo on schedule, securing investor confidence
Development Acceleration
Streamlined deployment process enables multiple daily releases vs. weekly before
AI Performance
Vector search implementation delivers near-instantaneous design recommendations
Team Empowerment
Established development practices the founding team continues to build upon