A faster release loop for AI products
Coxwave helps enterprises build GenAI products through its consulting arm AX and its analytics platform Align. Their client list includes Anthropic, Meta, Microsoft, and PwC. Since being founded in 2021, the company's defining trait has been speed. For Coxwave, that means fast iteration, fast validation, and fast value delivery—not just fast models.
To achieve that, Coxwave overhauled its web app approach with Next.js on Vercel, shifting from infrastructure management to product experimentation.
From weekly releases to daily deploys
Coxwave's main friction point was the traditional deployment cycle. Static hosting setups and manual environment configuration slowed down feature rollout and made hotfixes brittle in a market where generative AI tools change fast.
With Vercel's Preview Deployments, built-in CDN, and automatic scaling, Coxwave tests features in production-like environments without affecting live traffic. Hotfixes ship the same day, and experiments can be live within hours.
- Deployment times reduced by 85%
- Production deploys increased from once a week to twice per day
- Experiment-to-feedback cycles shrank significantly
- Production recovery time decreased by 52% with Instant Rollback
"In GenAI, speed and stability are non-negotiable. Vercel's Preview Environments and rapid deploys let us test in production-like settings and ship features faster, helping us deliver real value to our analytics customers."
— Yeop Lee, Head of Product at Coxwave
These changes did more than cut deployment lag. The team now has room to think, validate, and adapt faster than competitors stuck on slower infrastructure.
Copying features AI-native, no boilerplate
When Coxwave built Exploration Copilot, an AI assistant for product teams inside Align, the setup allowed parallel development of multiple LLM-powered variations. Each one gets tested in its own environment with no risk to the core platform.
The AI SDK contributed the conversational scaffolding. Features like the useChat hook handle streaming, state, and UI updates out of the box, so the team skipped boilerplate and went straight to user feedback loops.
The combination compressed the path from idea to production-ready product across the entire cycle: prototype, test, release, iterate.
Dropping the infrastructure drag
Before Vercel, Coxwave deployed Next.js apps via CloudFront and S3. It worked for static sites, but not for the dynamic, server-rendered requirements of modern GenAI applications. Each environment setup added overhead, and deploying fixes was slow and fragile.
Now Coxwave gets consistency between dev and production by default, simplified team ownership, and serverless compute without operational burden. The frontend team owns the full deployment lifecycle, and every branch has its own environment for testing.
Coxwave plans to continue using the Vercel and Next.js stack across upcoming projects. The platform has proven its worth for development velocity and for customer experience and product confidence.
