LangTest

Key Features

Pre-Launch Testing

Assess the accuracy of Brain Modules before deployment, ensuring they are ready for real-world use.

Post-Launch Testing

Continuously monitor and refine Brain Modules after deployment to maintain optimal performance.

Customized Question Types

Test AI models with tailored questions, including single choice, multiple choice, and descriptive answers, to cover a wide range of scenarios.

RLHF Management

Fine-tune AI responses by incorporating feedback to enhance model accuracy and relevance.

Evaluation Reports

Detailed reports provide insights into model performance, including strengths, weaknesses, and opportunities for improvement.

Guardrails Testing

Test AI behaviour within predefined limits to ensure compliance with ethical guidelines and safety standards, including testing for PII exposure, ethical concerns, and regulatory guidelines.

International Standards Compliance

Ensure your AI modules meet global regulations and standards through rigorous compliance testing.

Limitation Testing

Evaluate and define the boundaries of your AI's capabilities to ensure consistent and reliable performance.

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How LangTest Works

Type & Ask

Type in questions and instantly test your model’s responses, gaining immediate feedback on its performance.

Paste Data, Generate Questions, and Test

Paste data into the platform, generate customized questions (single choice, multiple choice, descriptive), and assess the AI model's responses using similarity scores.

Upload Files and Generate Questions

Upload documents or files, generate customized questions, and evaluate responses using RLHF for continuous improvement.

RLHF Management

Provide feedback on responses and guide the AI’s learning process through RLHF. This ensures continuous refinement and more accurate outputs.

Detailed Reports

Review comprehensive reports that outline performance metrics, identify areas for improvement, and ensure your AI models are reliable and ready for deployment.

Use Cases Powered by LangTest

  • Financial Services

    Enhancing Customer Support AI Testing
  • Accurate Responses
    • Test AI models with real-time customer queries from CRM data to ensure precise, error-free responses.
  • Product Recommendations
    • Evaluate AI models’ ability to suggest financial products (loans, credit cards) based on customer profiles and behavior.
  • Guardrails for PII Exposure
    • Implement guardrails to test and prevent exposure of personally identifiable information (PII) while interacting with customer data.
  • Testing for Ethical Compliance
    • Ensure compliance with ethical standards when handling sensitive financial information, testing AI models to avoid biased outcomes.
  • Healthcare

    Ensuring Diagnostic AI Safety and Accuracy
  • AI-Driven Diagnostics
    • Test AI models on diagnostic scenarios using patient histories, medical data, and real-time medical devices to ensure accurate diagnostic recommendations.
  • Customized Testing for Medical Data
    • Use custom questions (descriptive answers for complex diagnoses) to validate AI’s decision-making capabilities.
  • Guardrails Testing
    • Set guardrails to prevent AI models from making unsafe recommendations that could jeopardize patient health.
  • PII Protection in Medical Data
    • Conduct PII exposure tests to ensure that AI models maintain patient confidentiality while processing sensitive healthcare information.
  • De-Addiction Counseling

    Testing AI for Personalized Support
  • 12-Step Process Validation
    • Test AI models on de-addiction counseling scenarios, ensuring they follow the 12-step process effectively in all interactions.
  • Narration Testing
    • Evaluate the AI model’s ability to narrate counseling sessions and offer real-time guidance based on the de-addiction process.
  • Guardrails for Sensitive Data Protection
    • Set guardrails to ensure patient confidentiality and privacy during AI-driven counseling sessions, preventing exposure of personal information.
  • Ethical Testing for Counseling
    • Test AI models to ensure they provide empathetic and ethically sound support during de-addiction sessions, helping individuals through their recovery journey.

Comprehensive Testing and Adaptable AI Deployment

  • LangTest’s flexible testing environment allows for easy integration with AI models across cloud, on-premise, or edge systems, ensuring reliable performance in any deployment scenario. The platform helps you refine your AI models continuously to guarantee accuracy and compliance at every stage of development.

Join Our Exclusive Waitlist!

Be the first to access our innovative tools and features! Register now to secure your spot and receive updates on our launch.

Join the Waitlist!