Vercel

Claude and ChatGPT are what your people use. Vercel is where the AI applications we build with them actually run. From a provider-agnostic AI SDK to secure agent sandboxes and a unified gateway across every AI model, Vercel is the infrastructure layer that turns AI prototypes into production systems your organisation relies on.

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Vercel

Why We Build on Vercel

When we build custom AI applications during an AI Impact Sprint, those solutions need to run somewhere reliable, fast, and secure. Vercel gives us a deployment platform purpose-built for AI workloads, with a developer framework that connects to any AI provider, automatic failover when providers go down, and isolated environments for running AI agents safely. For our clients, that means the solutions we deliver work in production from day one, not just in a demo.

  • AI SDK connects to Claude, ChatGPT, Gemini, and other providers through a single framework, so you're never locked into one AI vendor
  • AI Gateway routes requests across providers with sub-20ms latency, automatic failover, and unified cost tracking
  • Secure Sandboxes run AI agents in isolated cloud environments, keeping generated code away from your production systems
  • Enterprise-grade compliance: SOC 2 Type 2, HIPAA, PCI DSS v4.0, and GDPR
  • Fluid Compute scales automatically with multi-region failover, so your AI applications stay fast under load
Why We Build on Vercel

The Vercel AI Stack

Vercel has evolved from a hosting platform into a complete AI infrastructure. Here's what each component delivers and why it matters for your AI program.

AI SDK

Development Framework

An open-source TypeScript framework for building AI-powered applications. The AI SDK provides a single, consistent interface to every major AI provider, so the applications we build for you can use Claude for analysis, ChatGPT for content, and Gemini for translation, all within the same system. Version 6 introduced agents as a first-class building block, with full MCP support and tool execution approval for safe, controlled automation.

Key Benefits

  • Provider-agnostic: connect to Anthropic, OpenAI, Google, and others through one interface
  • Agents as first-class abstractions, define once and deploy across your applications
  • Full MCP support for connecting AI to your enterprise tools and data sources
  • Tool execution approval so humans stay in the loop on sensitive actions
  • Built-in streaming for responsive, real-time AI interfaces

Use Cases

Custom AI assistants Internal tools AI-powered dashboards Workflow automation Multi-provider applications Agent orchestration

AI Gateway

Unified AI API

A single API that routes AI requests across multiple providers, with automatic failover, cost tracking, and performance monitoring built in. AI Gateway means your AI applications stay up even when a provider goes down, and you get unified visibility into usage, costs, and performance across every AI model you use.

Key Benefits

  • Sub-20ms latency routing across AI providers at the edge
  • Automatic failover routes around provider outages without code changes
  • Zero markup on AI tokens, including Bring Your Own Key support
  • Unified observability dashboard for usage, costs, and performance across all providers
  • Intelligent routing to select the best provider for each request

Use Cases

Multi-provider AI strategy Cost management Provider redundancy Usage monitoring Performance optimisation Compliance reporting

Sandbox

Secure Agent Execution

Isolated cloud environments built on Firecracker microVMs for running AI-generated code and agent workflows safely. Each sandbox gets its own filesystem, network, and process space, completely separated from your production infrastructure. When AI agents need to execute code, analyse data, or run automated workflows, Sandboxes keep everything contained.

Key Benefits

  • Firecracker microVM isolation, each sandbox is completely separated from infrastructure
  • On-demand Linux environments with sudo access and package managers
  • Ephemeral by design, sandboxes shut down automatically after use
  • Up to 5 hours of execution time on Pro and Enterprise plans
  • Open-source SDK and CLI for custom integration

Use Cases

AI agent execution Code generation and testing Data processing pipelines Automated analysis Prototype testing Safe experimentation

v0

AI Development Agent

An AI-powered development agent that builds full-stack applications from natural language descriptions. v0 can import existing code repositories, connect to databases, and generate production-ready applications with proper security controls and git workflows. For organisations building internal AI tools, v0 accelerates development from weeks to days.

Key Benefits

  • Full-stack application generation from natural language descriptions
  • Imports existing GitHub repositories and environment configurations
  • Enterprise security: SAML SSO, role-based access control, and audit logs
  • Database integrations with Snowflake, AWS, and other enterprise data sources
  • Generates production-ready code with proper git workflows

Use Cases

Internal tool development AI application prototyping Dashboard creation Reporting interfaces Data visualisation Custom workflow tools

Fluid Compute

Infrastructure

Vercel's compute model that combines the efficiency of serverless with the flexibility of traditional servers. Fluid Compute prioritises existing resources before creating new instances, meaning your AI applications scale smoothly under load without the cold-start delays that plague traditional serverless. For enterprise clients, multi-region failover is enabled by default.

Key Benefits

  • Scales functions before instances for faster, more efficient handling of AI workloads
  • No hard scaling limits, handles tens of thousands of concurrent requests
  • Multi-region failover enabled by default for enterprise
  • Dense global compute runs workloads close to where your data lives
  • Cost-efficient, you pay for active compute, not idle resources

Use Cases

High-traffic AI applications Real-time AI processing Global deployment Event-driven workflows API endpoints Background processing

Enterprise Platform

Security & Compliance

The deployment and hosting layer that ties everything together. Vercel's Enterprise plan provides the security, compliance, and operational controls that regulated industries require, from SOC 2 Type 2 and HIPAA to a Web Application Firewall and dedicated compute environments. Your AI applications get enterprise-grade infrastructure without your team managing servers.

Key Benefits

  • SOC 2 Type 2 certified with annual third-party audits
  • HIPAA compliance available for healthcare and regulated industries
  • PCI DSS v4.0 attestation for payment-related applications
  • Web Application Firewall for edge-based traffic filtering and monitoring
  • GDPR compliant with configurable data retention policies

Use Cases

Regulated industry deployment Enterprise AI applications Secure internal tools Customer-facing AI products Compliance-sensitive workloads Global content delivery

Why Kowalah + Vercel

We build on Vercel every day. The AI applications, custom agents, and internal tools we deliver during Sprint engagements run on Vercel infrastructure, and that hands-on experience means we know how to get the most from the platform.

Production-Grade AI Delivery

When we build AI solutions during an AI Impact Sprint, they deploy to Vercel infrastructure from the start. Your solutions aren't prototypes that need re-engineering, they're production systems from day one.

Multi-Provider AI Strategy

The AI SDK and AI Gateway let us build applications that use the right AI model for each task, Claude for reasoning, ChatGPT for content, specialist models for specific domains, all through a single, manageable infrastructure.

Platform-Agnostic Honesty

We recommend Vercel where it's the right fit for your AI applications. For simpler deployments or specific infrastructure requirements, we'll tell you when another approach makes more sense.

Secure Agent Deployment

As AI agents become central to your operations, Sandboxes provide the isolation and security controls that enterprise compliance teams require. We handle the architecture so your team focuses on outcomes.

How We Deploy on Vercel

A proven approach that gets your AI applications running in production quickly and reliably.

1

Architect & Configure

We design your AI application architecture, configure the Vercel project with security policies, set up AI Gateway routing across your chosen providers, and establish monitoring, as part of our AI Implementation engagement.

2

Build & Deploy

Working alongside your team, we build AI applications using the AI SDK, deploy to Vercel with proper staging and production environments, and validate performance under real-world conditions.

3

Integrate & Secure

We connect your AI applications to enterprise systems, configure Sandbox environments for agent workflows, set up compliance controls, and establish the monitoring dashboards your operations team needs.

4

Scale & Evolve

Ongoing support through Expert Requests for new AI applications, AI Gateway optimisation, agent development, and continuous improvement as Vercel releases new capabilities.

Ready to Build Production AI?

Let's discuss how Vercel's AI infrastructure can power the applications your organisation needs. We'll give you an honest assessment of the right architecture for your specific use cases.