Rhesis AI: Reliable Gen AI Application Validation

Insufficient Test Coverage

Defining a robust test strategy for Gen AI applications means addressing multiple layers, including adherence to standards like MITRE, NIST, and OWASP. Building these test frameworks from scratch can be a time-consuming endeavor.

Overly General Test Scenarios

Effective test cases must be tailored to fit specific use cases, industries, and regulatory environments. Generic scenarios often fail to capture the nuances of real-world applications, leading to insufficient validation and increased risks.

Lack of Continuous Updates

As the Gen AI landscape evolves, new adversarial threats and regulatory requirements emerge frequently. Keeping your test environments up to date with these rapid changes is an ongoing challenge, requiring constant adaptation and monitoring.

Automated Test Case Generation

Our cutting-edge automation identifies blind spots and generates comprehensive test cases, ensuring that no critical scenario is overlooked, providing thorough and consistent validation.

Global Testing Capabilities

Leverage built-in support for multilingual and multi-country testing, ensuring your AI applications meet performance, regulatory, and localization standards for seamless global deployment.

Seamless Integration

Whether you have an existing testing framework or require a complete solution, our platform offers a flexible, framework-agnostic approach that integrates effortlessly into your existing workflows, providing end-to-end validation support.

In-depth Validation Sets Directory

Your Gen AI applications are rigorously tested across multiple dimensions, using industry best practices from NIST, MITRE, and OWASP. Our validation sets cover a wide range of use cases, industries, and application types, ensuring thorough and reliable testing.

Always up-to-date

Our directory evolves with the AI landscape, providing advanced test coverage and frequent updates to help you stay ahead of emerging risks. This ensures your Gen AI applications are always evaluated with the most current and relevant data.

Domain-specific

Tailor your AI testing to industry-specific needs. Our specialized test benches address vulnerabilities unique to your sector, delivering precise evaluations for more accurate and reliable results.

Adaptive Test Generation

Input your own documents and guidelines into our platform to create custom test cases. Our automated system evolves these tests to adapt to your application's growth and emerging threats, ensuring your AI stays compliant and secure.

Uncensored QA LLM & LLM-Judge

Take advantage of cutting-edge tools like the uncensored QA LLM, which generates adversarial test cases, and LLM-Judge for ethical, unbiased evaluations. These tools provide critical insights into weaknesses and ensure your AI remains trustworthy and secure.

Full Transparency into Testing

Receive validation sets backed by reliable data, along with transparent test reports. Whether you’re performing generic testing or customizing for specific scenarios, you’ll gain clear insights into your Gen AI’s performance and areas for improvement.

EXAMPLE USE CASES

AI Financial Advisor

Evaluate the reliability and accuracy of financial guidance provided by Gen AI applications, ensuring sound advice for users.

AI Claim Processing

Test for and eliminate biases in Gen Ai supported claim decisions, ensuring fair and compliant processing of insurance claims.

AI Sales Advisor

Validate the accuracy of product recommendations, enhancing customer satisfaction and driving more successful sales.

AI Support Chatbot

Ensure that your chatbot consistently delivers helpful, accurate, and empathetic responses across various scenarios.

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EFFORTLESS SERVICE

Gen AI Validation-as-a-Service

Let us handle everything. We develop the validation strategy, manage the test bench, curate validation sets, and perform all necessary testing for your Gen AI applications. You’ll receive regular, detailed validation reports without any effort required on your part.

Hassle-free: We manage everything from start to finish.

Expert-driven: Receive reliable results from curated validation sets.

Clear insights: Get detailed reports with actionable insights regularly.

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Book a meeting

Integrate the Rhesis test bench into your existing validation framework. Combine it with your Gen AI application testing processes and execute the testing independently, gaining valuable insights as you go.

Seamless integration: Embed our test bench into your framework.

Full control: Manage the testing process at your own pace.

Real-time insights: Receive ongoing feedback and validation results.

Book a meeting

INDEPENDENT PRODUCT

Self-managed Gen AI Test Benches

Who is this for?

Whether you are developing, owning or auditing Gen AI applications, our solution is the right one for you to validate and assure your applications before and after go-live.

"A key focus of mine is to ship Gen AI applications that are thoroughly tested for global deployment, ensuring no vulnerabilities are overlooked."

AI Engineer

"My main task is to implement testing strategies that keep our AI applications aligned with compliance standards like the EU AI Act, while staying ahead of security and performance risks."

Head of AI Teams

"I need to ensure our AI solutions are thoroughly validated before deployment to avoid operational disruptions and reputational damage due to unexpected failures."

AI Product Lead

"My responsibility is to define a comprehensive testing framework that adheres to standards like MITRE, NIST, and OWASP, but building this from scratch is overwhelming."

AI Security Architect

"My main challenge is ensuring our AI systems are tested against evolving adversarial threats, especially with rapid changes in Gen AI."

Sr. AI Engineer

"I need to identify and eliminate bias from our AI models to ensure fair and equitable outcomes in decisions like insurance claims and loan approvals."

Data Scientist

"We need automated test case generation to ensure that no critical scenario is missed in our AI validation process."

Automation Engineer

"My priority is to build trust in our AI products by ensuring they meet high standards of performance and security."

Product Manager

"I need full transparency into our AI’s performance, including clear insights into any vulnerabilities or compliance gaps."

Chief Technology Officer

"I’m responsible for creating industry-specific test cases that go beyond generic scenarios to cover the unique requirements of our AI applications."

AI Solution Architect

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Ship Gen AI Applications with Confidence

Why is Validating Gen AI Applications so hard?

Insufficient Test Coverage

Overly General Test Scenarios

Lack of Continuous Updates

The consequences of insufficient testing...

Financial Risks

Reputational Risks

Operational Risks

Test-Benches-as-a-Service for
Gen AI Application Testing