Executive Summary
AI testing startup Stably utilized Vercel's platform to eliminate infrastructure management bottlenecks that were hindering its small, six-person team. By adopting Vercel for its entire stack, including the AI Gateway and Sandbox, Stably reduced its new product development cycle from weeks to hours. This shift enabled the team to focus on its core product—autonomous AI testing agents—and successfully scale from an early-stage product to securing enterprise contracts.
Key Takeaways
* Core Product: Stably builds AI agents that perform autonomous end-to-end testing by interacting with applications like a real user, validating code changes automatically.
* The Problem: As a six-person team, Stably found that DevOps and infrastructure management ("infrastructure anxiety") were unsustainable bottlenecks, slowing down development and innovation.
* Vercel's Solution: The company runs its entire frontend and backend on Vercel, using the AI Gateway for scalability and Sandbox for agentic code execution, which removed infrastructure as a blocker.
* Quantifiable Impact: Development and launch times for new product lines and internal tools were reduced from weeks to a matter of hours.
* Cultural Shift: Removing deployment friction fostered a "if you see something, just do it" culture, empowering engineers to build and ship new ideas, such as internal Slack bots and dashboards, on the same day.
* Business Acceleration: Winning the Vercel AI Accelerator provided Stably with investment, brand validation that helped close enterprise deals, and key strategic insights on topics like pricing.
Strategic Importance
This case study positions Vercel as a critical end-to-end platform for AI startups, demonstrating how its developer-centric infrastructure directly translates into faster product velocity and enterprise readiness.