Auditors ask where data goes — static analysis answers in minutes. Request a demo

Auditors ask where data goes — static analysis answers in minutes. Request a demo

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Growth multiplies impact risk

Field‑level lineage inside every service, plus a CI impact gate that flags risky edits before they land.
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Field-Level Visibility Across Your Services

As systems grow, so does impact risk. Gable lets every team explore how data flows and shows platform owners where a change will land so certainty rises and support costs fade.

SCAN

“What exists? Who owns it?”

Teams answer discovery in-service, pre-review with no platform ping required.

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INSIGHTS

Safety isn’t standardized

Code review is standardized; risk checks aren’t. A shared CI gate applies the same impact view everywhere.

CONTROL

Growth multiplies impact risk

More services, more dependencies, more landing zones. Surface owners and blast radius so risky diffs get gated or routed.

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Solutions

Reduce ops toil

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Self-Serve Discovery

Teams browse fields, relationships, and owners without mediation.

Puzzle

Self-documenting field-flows

Replace “what exists/owner?” pings with searchable lineage.

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Standardize safety in CI

Dependency

Template Status Check

Add a lineage gate to golden pipelines.

Contracts User

Risk Rules

Central policies flag high-risk changes across services.

Automate Compliance and Governance

Contracts Lock

Dependency Visibility

See total impact as systems and teams grow.

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Change History

Track how a field evolved to understand downstream sensitivity.

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Gable Understands Your Code

Register data generating code across your company's most complex repositories and data systems

This code is designed to streamline the process of generating and registering data across your company's most intricate repositories and data systems

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@PostMapping("/data")
public ResponseEntity<String> sendAnalyticsEvent(UserID id,
SessionID session, EventType type) {
ㅤㅤAnalyticsEvent event = new AnalyticsEvent.Builder()
ㅤㅤㅤㅤㅤㅤㅤ.eventType(type)
ㅤㅤㅤㅤㅤㅤㅤ.userId(id)
ㅤㅤㅤㅤㅤㅤㅤ.sessionId(session)
ㅤㅤㅤㅤㅤㅤㅤ.timestamp(System.currentTimeMillis())
ㅤㅤㅤㅤㅤㅤㅤ.build();
ㅤㅤreturn  ResponseEntity.ok(analyticsService.pushEvent(ev ent))
ㅤㅤㅤㅤㅤㅤㅤ.orElseThrow(
ㅤㅤㅤㅤㅤㅤㅤㅤㅤ() -> new RuntimeException(String.format("Could not
register event for user: %s", id.getName()))
ㅤㅤㅤㅤㅤㅤㅤ);
}
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import { track } from '@amplitude/analytics-browser';
export enum AmplitudeEventNames {  
ViewDataAssetFromChangelog = 'Clicked View Data Asset from
Changelog',
}
const changelogAmplitudeData = {
ㅤㅤeventTitle: 'minute-watched',
ㅤㅤentityType: 'video',
modifications: [],
}
;document.body?.addEventListener('click', () => {
track(AmplitudeEventNames.ViewDataAssetFromChangelog,
changelogAmplitudeData);
});
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struct Event {
ㅤㅤㅤlet type: EventType
ㅤㅤㅤlet metadata: [String: Any]?
}
let upcomingEvents: [Event] = [
ㅤㅤㅤEvent(
ㅤㅤㅤㅤㅤtype: .query,
ㅤㅤㅤㅤㅤmetadata: [
ㅤㅤㅤㅤㅤㅤㅤ"client": "Deep Thought",
ㅤㅤㅤㅤㅤㅤㅤ"total_queries": 1
ㅤㅤㅤㅤㅤ]
ㅤㅤ )
]

Features

Source Code Scanning

Self-Serve Lineage

An interactive view to browse fields, compute steps, and dependents. Engineers answer “what exists / who owns it / what does it touch?” without pinging the platform team.

Generate Contracts

Template Status Check

Drop a lineage gate into your golden CI once and every repo inherits consistent impact checks. Safety standardization without touching production paths.

Change Notifications

Change History

A timeline of edits to a field and its transforms so reviewers can spot behavior drift. Compare versions and see who changed what, when, and where.

Refine and Approve

Exportable Evidence

Generate field-level lineage snapshots for reviews or audits in a couple of clicks. Links resolve back to the exact parts of the codebase for verification.

“I believe that Gable is the first next generation data management platform built for the AI era. It’s game changing for any company that truly values data and in this punch card generation of AI, I believe this is foundational.”

Kelvin Lim

Chief Technology Officer at x15ventures

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“After putting Gable in production, we've had 0 data-related incidents.”

Zakariah Siyaji

Engineering Manager, Data Platform

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