LLM Testing Services for Reliable LLM Apps

We rigorously test your LLM’s responses for accuracy, relevance, and adherence to desired tone. With our large language model audit, you’ll identify and mitigate biases or potential hallucinations, ensuring consistent and trustworthy outputs from your LLM models.

We assess your large language model’s performance under various loads, ensuring optimal speed and resource utilization. With our LLM QA testing, you’ll verify your system’s scalability to handle increasing user demand in production environments.

Our LLM testing services include comprehensive security checks to uncover vulnerabilities and guard against adversarial attacks. We ensure your LLM adheres to ethical guidelines, protecting sensitive data and user trust.

Effective prompt design is crucial for optimal LLM behavior. We test your prompts and system instructions against real and adversarial inputs, then refine them through continuous testing to get consistent, on-brand responses.

We test the product around the model: chat UI, APIs, integrations with your systems, and fallback behavior when the model times out, errors, or refuses. Building autonomous workflows? Our AI agent testing covers tool calls and multi-step tasks.

Our LLM testing solutions comprise thorough dataset analysis to identify inconsistencies and biases, as well as gaps in its accuracy, diversity, and completeness. This involves examining data schema, lineage, and historical usage patterns to detect anomalies.

We meticulously assess LLM outputs for biased or unfair treatment across different demographics. Our LLM testing and validation services help identify and mitigate algorithmic bias, promoting equitable and ethical AI interactions.

Our specialists validate adherence to data privacy laws (e.g., GDPR, CCPA) and assess compliance with industry standards in sectors such as healthcare, finance, and education, ensuring your LLM operates within the necessary legal and sectoral frameworks.

We ensure consistent performance of your LLM across multiple languages and cultures, checking for contextually appropriate and culturally sensitive outputs to guarantee global relevance and user acceptance.

We test your LLM’s conversational flow and natural interaction, striving to improve overall user satisfaction with its responses. With our LLM testing services, you’ll ensure a truly intuitive and engaging experience for end users.

Wrong documents in, wrong answers out. Our RAG testing checks that your retrieval pipeline finds the right sources, that answers stay grounded in them, and that gaps in your knowledge base don’t turn into confident hallucinations.

Every prompt edit, model upgrade, or retrieval change can break answers that used to work. We build an automated LLM regression testing suite from your critical scenarios and run it on every release, so drops in accuracy, safety, or format never reach users.

Drawing from years of experience testing complex systems and AI products, like the chatbot behind an AI matchmaking app, QAwerk ensures your large language models are high-performing and reliable. Our team includes 30+ senior QA engineers with specialized training and deep experience in LLM testing.

We excel at validating performance and stability under heavy loads for critical systems, ensuring your LLM remains quick, stable, and responsive. QAwerk helped increase a digital growth platform’s regression-testing speed by 50% and ensured it ran optimally 24/7, capabilities crucial for real-time LLM demands.

With a strong track record in testing secure financial transactions, we proactively identify vulnerabilities and protect against jailbreak attacks. We ensure your LLM handles sensitive data safely and maintains user trust.

QAwerk builds robust automation frameworks and has automated 76% of the regression suite for an AI notepad now valued at $1.5B. Our expertise in test automation accelerates your LLM development and release cycles.

Our client solutions have achieved significant milestones, from securing a zero-bug product launch, tripling projected install numbers, and attaining 80% likes on Steam. We reliably deliver updates to top-tier clients like Microsoft and IBM, driving significant market impact.

We guide you from the initial AI software testing strategy to final checks, offering comprehensive support. QAwerk will ensure the release of an LLM solution you can be proud of, and one which you can be confident in its performance.

Regression testing is crucial for the stability of LLMs as models and applications evolve. It actively prevents new changes from breaking existing functionality and accuracy, thereby safeguarding your LLM investments.

Testing LLMs is a process that can be made efficient through automation. This accelerates repetitive test cycles, ensuring broad and consistent test coverage for your models and applications, thereby powering rapid LLM development.

Discover subtle LLM behaviors and critical edge cases. Our expert manual testers probe your model with human intuition, uncovering nuanced issues, biases, or unexpected responses that automated scripts might miss.

Proactively expose and eliminate weaknesses within your LLM ecosystem. We’ll help you uncover and resolve vulnerabilities, leading to protected sensitive data, preventing jailbreak attacks, and ensuring robust security.

Testing shows your LLM app works; evaluation shows how good its answers are. We build golden datasets, define quality metrics, and calibrate automated judges against human reviewers, giving you a scored baseline for every release.