< 3 min
Mean heal time
from drift detected to config ready for review
Fleak joins the Databricks startup accelerator. See the announcement
Your pipelines didn't fail. They just went quietly wrong.
A field gets renamed. A type changes. Parsers keep running — on the wrong data. Fleak's Brain catches the drift, regenerates the mapping, and hands it to your team in under 3 minutes.
- Automatic drift detection
- Human-reviewed config
- Zero AI at runtime
- Any schema
- SOC 2 Type II
90%
First-gen field accuracy
your team reviews the rest before deploy
0
AI inference at runtime
production data never sent to an LLM
Schema drift is
the silent outage.
Vendors don't version their schemas. Your data looks the same. It just isn't.
Formats change without warning
No release note. No API deprecation. Just a rename on a Tuesday — and your parser keeps emitting nulls until someone notices.
Detections fire on nulls. Dashboards lie
ML features drift. Compliance reports go silently wrong. Audits find the gap before your team does.
Every fix is a week you didn't budget
Reproduce. Diff. Rewrite. Test. Redeploy. Across 100+ sources — every quarter, in perpetuity.
What if pipelines healed themselves?
Your team reviews the new mapping. Not the broken dashboard.
The Brain watches.
The Muscle runs.
The Brain monitors field match, null rate, and type coherence on every pipeline. When something slips, it samples the new shape, diffs the schema, and proposes a new mapping. The Muscle keeps running production events deterministically — 8,000/sec per CPU, zero inference.
what stays green when one pipeline drifts
- SIEM detections
- ML features
- Compliance reports
- AI agents
- Dashboards
A vendor renames event.action to event.action.v2.
What happens?
Without Fleak
7 daysParser produces nulls for days. On-call finds out from a dashboard that stopped moving. Root cause hunt begins.
With Fleak
< 3 minBrain detects field match collapse. New mapping proposed against the new schema. Your engineer reviews and promotes.
Trust model
VerifiedAI only sees samples. Every config reviewed by your team. Every change audit-trailed.
Schema drift used to be a week-long firefight. With the Brain watching every pipeline, the fix is waiting in your review queue — before SIEM detections, ML features, or compliance reports break.
"Upstream changed. You find out from a notification, not a broken dashboard. Brain watches pipeline health event-by-event — when accuracy drops, a new mapping is waiting in your review queue before downstream SLAs break."
Self-healing architecture · Fleak Platform
Bring us a source that broke last quarter.
We'll show you how Fleak would have caught it.
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Any source, any schema — generated in 3 min
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