AI is only as reliable as the data behind it. Tricentis Data Integrity helps you to de-risk and accelerate your AI initiatives and business transformation with automated, end-to-end data testing, ensuring decision-grade data accuracy across your entire enterprise.

See how DI powers AI

The challenge

Data errors are a business risk.
Not a tech problem.

Data errors cost organizations millions in preventable losses every year. With the average enterprise running over 1,000 applications, manual validation is impossible. Meanwhile, point solutions offer a false sense of security by testing only one system at a time. This means errors often surface only after the damage is irreversible.

Reacting vs. preventing

Data errors caught late cost 100x more to fix, leading to revenue loss and regulatory fines. Stop these preventable risks before the damage becomes irreversible.

Manual testing limits

Teams waste 27% of their time fixing bad data. Manual validation can’t keep pace with 1,000+ apps, and point solutions fail. Stop data errors before they cost you millions.

AI-readiness gaps

Unvalidated data produces unreliable AI outputs, turning your AI investment into a source of risk rather than a competitive advantage. Stop the risk at the source.

Narrow point solutions

Tools that test a single source or validate data at a point in time leave entire systems and pipelines unvalidated. Stop blind spots from becoming a liability.

Compliance failures

GDPR, HIPAA, and other standards demand continuous data accuracy. Stop leaving compliance to chance with manual validation.

Costly infrastructure

Managing on-prem infrastructure and custom tools stalls testing and blocks innovation. Stop burning resources on maintenance and start delivering strategic value.

Every challenge above amplifies in AI

These aren't just problems in your data.
They're the breaking points in your AI.

AI data readiness

Your AI is only as reliable as your data. Make it count.

AI models trained on inaccurate, inconsistent, or unvalidated data produce unreliable outputs, leading to flawed business decisions, compliance failures, and failed innovation initiatives. Data Integrity ensures every data source feeding your AI is tested, reconciled, and decision-grade before it reaches your models.

⊗ Without Data Integrity: Unvalidated data enters AI pipelines undetected, producing outputs that look credible but are built on corrupt foundations.

⊗ Without Data Integrity: Data errors surface only after AI-driven decisions have already caused business damage, revenue loss, regulatory fines, wrong forecasts.

✓ With Data Integrity: Continuously validate and reconcile all data sources feeding your AI, ensuring decision-grade accuracy at every stage of the pipeline.

✓ With Data Integrity: Detect anomalies and data drift early, before they corrupt your models, protecting AI performance and business confidence.

Here is how Data Integrity solves them

Untested data has a fix.
 Data Integrity delivers it.

The solution

Tricentis Data Integrity: Stop firefighting, start winning.

Data Integrity empowers organizations to confidently make decisions, accelerate AI initiatives, and de-risk every transformation project.

Deliver AI-ready, trusted data

Validate every AI data source continuously, ensuring outputs are built on accurate, reconciled, decision-grade data your teams can trust.

De-risk AI and innovation

Minimize AI and transformation risk. Data errors cost up to 100x more to fix once they reach production.

Test faster, cover everything

Eliminate bottlenecks and get your AI rolled out faster. Achieve 70% faster testing with 100% coverage and 90% improved efficiency.

Lower costs, increase efficiency

Automate data testing to reduce operational costs and resource overhead while maintaining data validation across your entire IT landscape.

Skip the setup, start testing

Forget infrastructure setup and manual updates entirely. Go cloud-native, start testing on day one, and deliver value without delays.

Core capabilities

One solution. Every data source. Zero blind spots.

Continuous, end-to-end data testing that keeps your AI pipelines, business processes, and analytics running on validated, accurate data.

VALIDATION

Validation & reconciliation

Validate data across multiple sources and hybrid environments against business rules, ensuring accuracy across systems.

TEST CASE MAINTENANCE

Model-based testing

Use a model-based approach for comprehensive coverage and easy maintenance of end-to-end data tests as your systems evolve and change.

DETECTION

Anomaly detection

Detect anomalies early before they spread across systems. Continuously test for correctness according to business rules and data patterns.

INTEGRATION

Pre-built connectors

Connect to SAP, Salesforce, Oracle, SQL Server, Snowflake, Databricks, and more for quick setup, broad compatibility, and zero lock-in.

PRIORITIZATION

Risk-based prioritization

Focus testing on high-risk areas first to maximize business impact and resource efficiency across your entire enterprise IT landscape.

VISIBILITY

Customizable dashboards

Visualize data accuracy metrics and track testing progress with reporting tools built for both technical teams and business stakeholders.

AUTHORING

Low-code test authoring

Create and maintain data tests without deep coding expertise, giving both technical and non-technical teams the ability to test at scale.

Supported technologies

Test any technology

Work seamlessly across hybrid and cloud environments with SAP, Salesforce, Oracle, and more, adapting to your stack, not the other way around.

Use cases

Power AI. De-risk transformations. Ensure continuity.

From AI data pipelines to ERP migrations and continuous monitoring, Data Integrity ensures your data is accurate wherever your business depends on it.

AI initiatives

De-risk and accelerate AI innovation

AI is transforming businesses, but its success depends entirely on the quality of data it learns from. Data Integrity makes your AI initiatives safe to launch and built to scale.

Customer success

Trusted by enterprises. Proven at scale.

From real estate to food manufacturing, enterprises across industries rely on Tricentis Data Integrity to protect their data and accelerate their most critical initiatives.

GLOBAL REAL ESTATE LEADER

Trustworthy data across a complex application landscape

Saved hundreds of hours of manual data validation while achieving complete test coverage across structured and semi-structured datasets and numerous applications, including Snowflake.

Read case study

FLOWERS FOODS

Maintaining data integrity during SAP S/4HANA migration

Covered cloud and on-prem systems, gained insight into SAP configuration change impact, and ensured all data errors were identified and remediated before release, improving migration confidence significantly.

Read case study

Tech preview

Agentic AI for data testing

Tricentis is building the next frontier of data testing: an AI agent that transforms natural language into precise SQL queries and comprehensive data test cases.

This feature is a tech preview and currently in development.

Tricentis vs. others

Go from fragmented testing
to full E2E coverage.

While generic tools focus on single-point checks, Tricentis delivers continuous, end-to-end data testing with a focus on business outcomes.

Business outcomes first

We validate data accuracy for business processes and AI, not just technical correctness. Every test is anchored in real business impact, ensuring decisions are based on truly reliable data.

Continuous, not point-in-time

Beyond single-point migrations, Data Integrity continuously validates data across your evolving IT landscape at regular intervals, ensuring ongoing alignment with business requirements.

True end-to-end coverage

Validates data holistically across all data sources and business processes, ensuring consistency across multiple systems, not just checking one pipeline in isolation.

Backed by decades of QE expertise

Tricentis brings a comprehensive quality engineering platform, with Tosca (functionality), NeoLoad (load), and Data Integrity (data), enabling interconnected testing across layers for unmatched coverage.

Data testing is non-negotiable.
Start today.

Join the enterprises that have replaced manual, point-in-time data checks with continuous, automated data testing and make every decision a confident one.

Request a demo

Tricentis Data Integrity

Validate your data. Trust in every decision.