Trusted by Banking, Financial Services, Insurance, and Telecom
Trusted across regulated industries

When governance falls behind, trust breaks down.

Data is scattered across systems. Decube connects lineage, quality, and governance so teams can trust their data and stay audit-ready.

80%

Faster data asset discovery

65%

Faster data incident response

60%

Less regulatory reporting effort

94%

Less manual data testing time

Data Engineer

A reporting pipeline broke overnight. Nobody knew the impact.

Data Governance

The regulator requested a PII map. You had no audit trail.

Data Leader/CDO

The board asked if the data was trustworthy. You needed proof.
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The Problem

Your data grew fast. Your governance didn't.

More data. More systems. More regulations. The result? Broken trust, unclear ownership, audit risk, and decisions built on uncertainty.

"We run Snowflake, Databricks, and three BI tools. And our Chief Risk Officer still can't tell the regulator where our PII sits, or prove which version of Net Revenue is authoritative. Every audit is a month of pain."

Head of Data Governance, Tier 1 financial institution

Where is that table—and who owns it?

Assets are scattered across systems. Finding answers still depends on tribal knowledge.

Discovery

An engineer ships code. Three KPIs break.

Without lineage, small changes create downstream failures nobody sees coming.

Trust

The regulator wants your PII map. Today.

Classification and lineage are mandatory. Most teams still rely on manual documentation.

Compliance

Every audit becomes a fire drill.

Weeks spent chasing documentation, ownership, and lineage shouldn't be normal.

Auditability

Decube - The solution

One platform. From disconnected to governed.

Catalog assets, trace lineage, monitor quality, and enforce governance—all from a single platform built for regulated enterprises.

Automated catalog & discovery (Know it)

Automatically discover assets, ownership, and relationships across your data ecosystem.

80% faster asset discovery

Lineage & impact analysis (Trace it)

Track every data field from source to report. Understand impact before changes happen.

Zero surprise breakages

Data quality & monitoring (Trust it)

Detect schema drift, stale data, and anomalies before they impact reporting or decisions.

65% faster incident response

Classification & compliance (Govern it)

Classify sensitive data automatically, enforce policies, and stay audit-ready at scale.

60% less governance effort

Trusted by data leaders across Banking, Insurance & Telecom

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Measurable impact

The C-suite wants outcome. Here's the return.

Regulated data teams see measurable results within 90 days—not projections, proven outcomes.

"We run Snowflake, Databricks, and three BI tools. And our Chief Risk Officer still can't tell the regulator where our PII sits, or prove which version of Net Revenue is authoritative. Every audit is a month of pain."

Head of Data Governance, Tier 1 financial institution

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80% Faster discovery

Find the right asset in seconds.

Discovery

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65% Faster response

Resolve issues before they impact reporting.

Reliability

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60% Less audit effort

Reduce manual compliance work.

Compliance

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94% Less testing

Automate quality validation checks.

Efficiency

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Zero Surprise breakages

Understand impact before changes happen.

Engineering

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Trusty AI

Trustworthy AI starts with governed data

Trusty AI lets teams ask questions in plain English and get answers grounded in governed metadata, lineage, and quality signals—not assumptions.

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Governance isn't optional. It should be effortless.

Built for governance teams responsible for compliance, traceability, and trust across complex data ecosystems.

Financial Services

Deliver trusted reporting, lineage, and audit-ready governance at scale.

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MAS & BCBS 239 compliance lineage

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Trusted risk and finance KPIs

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Enterprise-wide PII classification

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Audit-ready regulatory reporting

Insurance & Payments

Govern policyholder, claims, and transaction data with full traceability and control.

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End-to-end claims lineage

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Sensitive data classification & masking

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Real-time transaction quality monitoring

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Documented remediation workflows

Telecom & Enterprise

Manage complex data estates with consistent governance, trust, and visibility.

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Multi-cloud governance at scale

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Customer 360 trust and lineage

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Pipeline monitoring and observability

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Cross-domain KPI standardization

Trusted by organizations operating under OJK, BNM, MAS, and APRA regulatory frameworks across APAC.

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Trusted by Data Teams across industries

Rated 4.6/5 on

Everything your data team needs. In one place.

ML-powered Anomaly Detection

Leverage our advanced ML-powered anomaly detection model and streamlined incident management system to ensure data quality and reliability.

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Foresee and Prevent: Mitigate potential data issues before they escalate.

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Real-Time Response: Stay ahead of the curve with instant alerts.

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Access Downstream Impact: Gauge the potential downstream impact of anomalies on data assets.

Ensure consistent data quality and reliability with our engineer-centric solutions.

Seamless Data Source Integration and Custom Testing

Our solution offers seamless integration with diverse data sources for effortless data onboarding and a flexible data configuration module.

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No-Code Configuration: Simplify test setup for critical data quality metrics, including volume, null values, and duplicates - no coding required.

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Custom SQL Testing: Formulate custom tests using SQL queries to address specific business requirements.

Monitor your data pipelines with our versatile and user-friendly features, designed to guarantee data quality and accuracy across diverse data environments.

Automated Data Governance with Advanced Classification and Tagging

Automate Data Governance through Policy Management:

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Automated Policy Management: Simplify data asset tagging and classification through a policy-driven approach to guarantee data consistency and accuracy.

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Confidentiality Protection: Safeguard sensitive information by applying rules to mask specific keywords, such as addresses, ensuring data privacy and compliance.

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Custom Data Classification: Tag or classify assets according to your organization's specific requirements, such as GDPR, PII, Sensitive, Internal, Restricted, and more.

Efficiently manage and protect your critical data assets while maintaining regulatory compliance and data privacy.

Ask your data anything. Get answers your team can trust.

Trusty AI lets teams ask questions in plain English and get answers backed by lineage, governance, and data context—not assumptions.

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Ask questions in plain English. Convert natural language into SQL instantly—no coding required.

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Answers backed by data context. Every response is grounded in lineage, ownership, and governed metadata.

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Catch quality issues before they spread. Surface and resolve data quality problems before they impact downstream teams.

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Document data automatically. Generate descriptions, classifications, and metadata in seconds.

Give every team instant access to trusted answers—without relying on engineers to find them.

Triage Data Issues with Column-Level Lineage

Gain comprehensive pipeline visibility through our Column-Level Lineage mapping by:

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End-to-end Transparency: Track data flow from source to target.

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Efficient Root-cause Analysis: Facilitate timely resolution by swiftly pinpointing the source of data issues and their downstream impact.

Utilizing column-level lineage can maintain high data accuracy, reliability, and trust.

Monitor Data Pipeline Performance with Advanced Monitoring

Extensive monitoring features to ensure your data pipelines operate efficiently and reliably:

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Realtime Visibility: Stay informed on ETL job progress with the latest status updates in the Asset Details Overview, enabling swift response to potential anomalies.

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Seamless Integration: Connect with popular communication platforms such as MS Teams or Slack for instant failure alerts.

Maintain high-performing data pipelines that ensure uninterrupted data flow and timely delivery of critical insights.

Enforce Trust and Data Quality through Data Contracts

Our tech-focused feature allows you to establish strong data contracts for seamless collaboration and trust between data producers and consumers. Key advantages include:

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Promote data integrity and reliability: Enforce adherence to predefined data quality standards.

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Cultivate collaboration and transparency: Clearly define data obligations and expectations for all parties involved.

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Streamline data management: Administer a robust framework that supports data governance and reliability.

With Data Contracts, data producers can ensure that the data meets the required standards.

Built for Enterprise Scale & Security

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SOC 2 Compliant

Safeguarding your information with industry-leading standards.

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ISO 27001

Ensuring your information is protected with the highest level of integrity.

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HIPAA Compliant

Ensuring the confidentiality and integrity of your healthcare data.

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GDPR Compliant

Protecting personal data with robust privacy and security measures.

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Encryption

Your data is encrypted in motion with TLS and at rest with AES-256.

Our partners

For all personas

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For Data Engineers

Spend less time fire-fighting data incidents and build trust with internal stakeholders from reliable data.

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For AI/ML Engineers

Get complete visibility and understanding of data going into AI/ML models to develop accurate models for real business impact.

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For Product/Business Teams

Discover quickly the data you need to make informed decisions and break down data silos between teams.

Integrations for end-to-end coverage

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People are loving Decube, see what you are missing

“We have been using this platform for a few months now, and we are extremely satisfied with the results. The platform has helped us to improve the quality of our data and make better business decisions.”

Hendrie | Head - Data Engineering @ Koinworks

“Our company has been using this platform for the past 2 months and it has completely transformed the way we manage our data. The observability features have been especially valuable, allowing us to identify and resolve issues in near real-time”

Simon | Data Engineer @ Flowerchimp

“The data observability features have been a real lifesaver for our organization. We are now able to detect and fix problems in our data pipeline much faster than before.”

Siva | OpsEngineer @ Kollect
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