All platforms
Migrate off Emergent

Off Emergent. Onto production.

Stabilizing apps built on emergent AI tools involves abstracting the platform APIs so your core business logic isn't tightly coupled to a startup's SDK that might introduce breaking changes or change pricing models overnight.

Why clients move off Emergent

The structural reasons.

  • Platform instability or API deprecations

  • Unpredictable pricing changes

  • Need to swap foundational models easily

Where we land you

Target stack. Defaults, not dogma.

These are the choices we'd recommend for most Emergent migrations. The audit week is where we adjust for your specific constraints — compliance, team skills, existing infrastructure.

Runtime
Vercel / AWS
Stable hosting for the abstraction layer
Gateways
Cloudflare AI Gateway
Rate limiting and fallback models
Things that bite

Emergent gotchas. All known.

The patterns specific to Emergent that catch teams trying to migrate themselves. We've seen each of these enough times to plan for them up front.

API changes

Decoupling from proprietary platform APIs requires writing robust abstraction layers.

Data extraction

Moving user data out of the emergent platform's walled garden.

What's in scope

A typical Emergent migration.

Yours will land within a few items of this. The line-item quote from the audit is what makes it specific.

  • Rewrite logic to use standardized APIs (e.g. OpenAI compatible)
  • Setup AI gateway for model routing
  • Extract and migrate platform data

Ready to leave Emergent?

Audit week is where it gets specific. Five business days, fixed price, real plan.