ML & Data Engineering
Preprocess training data
where it lives.
Local execution. Full lineage. Reproducible outputs. Without centralizing sensitive data.
Problems
Where pipelines break down
Data residency risk
Centralizing raw data increases egress costs and compliance surface.
No lineage
No record of which transformation ran on which dataset version.
Code inconsistency
Same script, different versions across machines.
Silent failures
Failed steps don't stop pipelines. Contaminated data enters training.
Solution
Local execution. Central lineage.
Agents run preprocessing on your machines. Control plane receives outcomes only. Signed plugins ensure identical execution everywhere.
Data stays local
Nothing sensitive transits to a central service.
Signed plugins
Identical code version on every machine.
Stop on failure
Pipeline halts on failed validation.
Per-chunk lineage
Chunk ID, plugin version, timestamp logged.
Talk to us about your pipeline
Tell us where your data lives and what preprocessing it needs. We'll show you how Sentra fits.