Fleak joins the Databricks startup accelerator. See the announcement

Your engineers are building parsers. They should be building product.

Every new data source is weeks of work before a byte flows. Fleak generates the parser, maps the schema, and fixes it when things change upstream.

Book a demo See how it works

Any schema
Any target format
Self-healing on drift
No coding required
SOC 2 Type II

6 mo → 1 wk

New source onboarding

F500 enterprise, multi-source IoT deployment

< 5 min

AI-generated parser

any schema — seen or unseen — mapped and validated

Self-heals

On schema drift

detects upstream format changes, regenerates config, redeploys without a ticket

The parser is never done.
It just keeps costing you.

You write a parser, ship it, move on. Then the vendor changes their format. The parser breaks. Silently. And the cycle starts again.

Every new source is a project.

Vendor docs. Field mapping. Edge cases. Testing. Each integration is weeks of engineering before a single byte reaches your downstream tools.

Schema drift breaks pipelines. Nobody notices until the alerts stop.

Vendors update formats without warning. Your parser keeps running. The output is wrong. Detections fire on garbage — or stop firing entirely.

100 sources. 100 parsers. All yours to maintain.

Every parser is debt with an expiration date nobody knows. One upstream change, one team departure — and the queue grows.

What if a new data source took five minutes?

Drop in a sample. Fleak's AI maps the schema, generates the config, and validates it. Unknown format. Seen it before. Doesn't matter.

Read the docs Book a demo

Ship the integration.
Skip the parser.

Fleak's AI mapping agent reads your data sample, understands the schema — whatever format it arrives in — and generates a validated config that maps it to your target. No manual field mapping. No coding. And when the source changes upstream, Fleak detects the drift, regenerates, and redeploys. You get a notification. You don't get a ticket.

maps to any target schema

OCSF
IEC 61968
OPC-UA
DICOM
UDM
TIA
Custom →

Zscaler Private Access logs. 47 fields.
New source. How long does it take?

Manual

3 weeks

Engineer reads ZPA docs. Identifies relevant fields. Writes parser. Handles nulls, format variants, nested objects. Validates against sample data. Edge case found week two. Still in staging after three weeks.

With Fleak

< 5 min

Drop sample logs. AI mapping agent identifies schema, maps 47 fields to OCSF, flags anomalies found during mapping. Config generated and validated. In production.

6 months later

Self-healed

Zscaler updates their log format. Manual parser silently produces malformed output for four days before anyone notices. With Fleak: drift detected, new config deployed, no interruption.

The brain layer monitors every pipeline's success rate in real time. When accuracy drops below threshold, it triggers the AI config generator, validates the new mapping, and redeploys — all before your team opens a ticket. Average recovery time: under 3 minutes.

"For completely new, unknown event types, Fleak's AI-native mapping agent generates end-to-end parsers in under 5 minutes — without breaking downstream detection logic."

Read the full report →

Gruve × Fleak benchmark · published