AI that Generates Pipelines,
Not Guesses.
We are crystal clear about what AI does here — and what it doesn't. AI builds the deterministic pipe. The pipe runs your data. These are two completely separate steps.
LLMs process your prompts and schemas to write deterministic validation logic.
Compiled, inspectable code runs your data. No AI at runtime. No hallucinations.
throw new ValidationError();
}
Natural Language to Logic
This is inspectable, auditable, version-controllable logic — not a black box. You see exactly what validations are being applied to your data.
→ GET /api/sku/{value}
→ if 404, flag row as invalid
The Consensus Engine for PDFs
For unstructured documents, we don't rely on a single OCR engine. We use multiple, and force them to agree.
Why This Matters for CTOs
Auditable
Every validation step is stored as readable configuration. Product managers and engineers can read it.
Version-Controlled
Pipelines are managed like code. Roll back changes instantly if something breaks.
No Hallucinations at Runtime
The AI writes the code. The code processes the data. Zero unpredictability in production.