From Benchmarks to Tailored AI Evaluations

Move beyond generic benchmarks with use-case-specific red teaming. Generate tailored test datasets, run hundreds of ready-to-use evaluations, and uncover risks unique to your AI models, systems and agents.

Beyond Generic Benchmarks

Move past one-size-fits-all evaluations with tests tailored to your specific workflows, users, and business objectives.

Regulatory Alignment

Designed to support EU AI Act compliance as well as other standards like OWASP Top 10, ISO 42001, AIUC-1 etc.

Automated Dataset Generation

Generate high-quality test datasets automatically from your use case, enabling comprehensive and scalable red teaming.

Continuous AI Validation

Re-run evaluations as models, prompts, or business requirements change to ensure consistent quality over time.

Targeting Testing for the AI Era

Beyond benchmarks

Create evaluation datasets aligned with your tasks, domain knowledge, user interactions, and business requirements.

Test AI behavior in situations that closely reflect actual production usage rather than benchmark evaluations.

Identify failure modes and vulnerabilities that generic benchmarks cannot uncover by testing against your specific use cases and workflows.

Continuously generate new test cases and scenarios that reflect changing models, prompts, tools, policies, and user needs.

Evaluate Every Dimension of AI Risk

Assess AI systems across security, safety, privacy, fairness, and reliability risks through a unified evaluation framework tailored to real-world usage.

Test how AI systems respond to adversarial inputs, edge cases, and unexpected scenarios that challenge normal operation.

Evaluate decision-making, tool usage, and multi-step workflows to ensure AI agents act as intended and remain within defined boundaries.

Evaluate whether sensitive, confidential, or personal information can be exposed through prompts, outputs, or system interactions.

Continuous AI Quality Assurance

Create reusable test suites that validate critical AI behaviors, ensuring new models, prompts, and releases meet your quality standards.

Detect regressions early by re-running test suites whenever prompts, models, tools, or knowledge sources are updated.

Schedule recurring assessments to continuously identify emerging risks and ensure AI systems remain aligned with business and compliance requirements.

Standardize AI quality assurance with versioned test suites that can be shared across teams, products, and environments.

Integrate automated testing into your existing development processes, enabling continuous validation from experimentation to production.

Regulatory Alignment by Design

Evaluate AI systems against requirements and best practices derived from the EU AI Act, OWASP, and internal governance frameworks.

Generate evidence and documentation that support internal governance processes, audits, and regulatory reviews.

Track compliance-related metrics over time and continuously validate that AI systems remain aligned with evolving requirements.

Demonstrate responsible AI practices through structured evaluations, repeatable assessments, and measurable controls.

Validaitor in Numbers

30+

Risk dimensions including security, hallucinations, fairness, privacy, and safety

100%

Auditable and repeatable evaluations

95%

Reduction in testing efforts

Validaitor's testing is also a verification service for the quality of your AI systems to help you gain the trust of your customers.

01

Validaitor operates independently from major vendors. Access the world's most comprehensive vendor evaluations and compare them with each other to benefit from vendor switching.

02

Get access to vast collections of test datasets that go beyond public benchmarks. Use Validaitor services tailored to use case specific datasets to test your AI systems meaningfully.

03

Towards Trust in AI

Validaitor's benefits exceed the traditional testing approaches that fall short of coping with the complexities of AI systems