Off Ninja Tech AI. Onto production.
Ninja Tech AI accelerates initial agent workflows, but eventually these workflows need to integrate deeply with enterprise data lakes or legacy APIs. Migrating from Ninja Tech AI means taking your agent logic into a more robust stack where you own the event loop and data ingestion.
The structural reasons.
Need more control over execution environments
Better observability into agent decision loops
Requires deeper integration with VPCs and internal networks
Target stack. Defaults, not dogma.
These are the choices we'd recommend for most Ninja Tech AI migrations. The audit week is where we adjust for your specific constraints — compliance, team skills, existing infrastructure.
Ninja Tech AI gotchas. All known.
The patterns specific to Ninja Tech AI that catch teams trying to migrate themselves. We've seen each of these enough times to plan for them up front.
Logic porting
Re-writing prompt chains and extracting the exact model parameters used in the platform.
Event loop
Replicating the continuous execution loop of autonomous agents in a serverless environment.
A typical Ninja Tech AI migration.
Yours will land within a few items of this. The line-item quote from the audit is what makes it specific.
- Port logic to custom backend
- Set up API layer for enterprise integration
- Deploy self-hosted vector databases
Other migrations we run.
Ready to leave Ninja Tech AI?
Audit week is where it gets specific. Five business days, fixed price, real plan.