Enterprise-Grade by Default.

BabelFish analyzes execution flow structures — not your data. We store metadata about patterns (step types, routing decisions, timing), never the actual payloads, prompts, or completions passing through your pipeline.

All trace data is stripped of personally identifiable information locally before any analysis begins. Your sensitive data never leaves your infrastructure. We process structure, not content.

Deploy BabelFish entirely within your own AWS or Azure environment. The compilation engine runs as a containerized service inside your VPC — no data egress, no external dependencies during execution.

Every compiled flow is validated against your original LLM-powered version with canary traffic. If output divergence exceeds your threshold, BabelFish auto-rolls back to the original flow. Zero production risk.