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AI Testing Services

We identify hallucinations, prompt failures, security risks, and unreliable AI responses through end-to-end testing for LLMs, AI agents, and RAG applications.

Platforms We Test

AI Systems We Test

Our AI Testing Services cover a wide range of AI-powered applications, from customer-facing experiences to enterprise-grade intelligent systems.

Generative AI

Large Language Models (LLMs)

Generative AI applications

AI content generation

Multimodal AI

Custom AI applications

Conversational AI

AI Chatbots
Voice AI
Conversational AI
Customer support assistants
Internal AI assistants
Enterprise copilots

AI Agents

AI Agents
Agentic AI
Multi-agent systems
Autonomous workflows
Tool calling
Function calling
MCP applications

Knowledge & Retrieval Systems

RAG applications
AI Search
Semantic Search
Enterprise knowledge bases
Vector databases
Document intelligence
Retrieval pipelines

AI-Powered Products

Recommendation systems
AI APIs
AI-powered SaaS
AI coding assistants
Vibe coding platforms
Predictive ML applications
Computer vision systems
AI analytics platforms

AI Infrastructure & Operations

AI Platforms & Model APIs
MLOps & LLMOps Pipelines
AI Observability Systems
AI Monitoring & Evaluation Platforms
Model Serving & Inference Systems
AI Workflow Orchestration
AI Data Pipelines
Fine-Tuned & Custom Models
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PIMCORE
Why AI Testing

Why AI Testing

Unlike traditional software, AI systems produce dynamic, non-deterministic outputs. Our AI Testing Services validate accuracy, reliability, security, and performance to detect hallucinations, prompt injection, model drift, RAG failures, and AI agent issues before they reach production.

We Help You Detect:

Hallucinations & inaccurate responses

Prompt injection & jailbreaks

RAG retrieval failures

Context precision & recall issues

AI Agent and tool-calling failures

Model drift & regression

99%+ Model Accuracy Validation
40% Faster AI Release Cycles
85% AI Performance Monitoring
100% Test Coverage
Our AI Testing Services

Our AI Testing Services

Comprehensive AI quality assurance for every layer of your AI application, from prompts and models to agents and production monitoring.

LLM Testing

Accuracy, reasoning, consistency, and response quality

Prompt Testing

Prompt reliability, jailbreaks, and prompt injection risks

RAG Testing

Retrieval accuracy, groundedness, faithfulness, and citations

AI Agent Testing

Planning, tool calling, workflows, and task execution

Model Validation

Model quality, benchmarking, and inference reliability

AI Security Testing

AI vulnerabilities, guardrails, and red teaming

AI Regression Testing

Output consistency after model or prompt changes

AI API Testing

API functionality, integrations, and response validation

Human-in-the-Loop Evaluation

Expert review for quality, safety, and business relevance

Case Studies

Our AI Testing Success Stories

Discover how our AI Testing services have delivered measurable results across industries with faster releases, lower costs, and higher quality. From reducing testing cycles to driving digital transformation, these success stories highlight the impact of our automation expertise.
E-COMMERCE

How AI Chatbots Navigate Localization and Regulatory Hurdles

Explore how PrimeQA Solutions delivers automation testing for chatbots and virtual assistants, ensuring seamless performance, accuracy.

40%

Improved Stability

35%

Fewer Critical Defects

100%

Milestone Adherence

2x

Faster Issue Resolution

Business & Technology Consulting

Delivering Release-Ready Mobile App Quality for a Global Consulting Firm

Delivering Release-Ready Mobile App Quality for a Global Consulting Firm

40%

Improved Stability

35%

Fewer Critical Defects

100%

Milestone Adherence

2x

Faster Issue Resolution

Our AI Testing Process

Our AI Testing Process

We follow a structured approach to identify risks, validate AI behavior, and ensure production-ready performance.

Phase 01

Understand the AI System

Map the agent or chatbot, including models, prompts, tools, APIs, retrieval sources, workflows, and expected behavior.

Tools & Technologies

AI Testing Tools & Frameworks We use

We combine industry-leading AI evaluation frameworks with proven QA tools to deliver accurate, scalable, and reliable AI Testing Services.
AI Evaluation & Quality
Promptfoo DeepEval Ragas LangSmith
AI Security & Red Teaming
Garak Jailbreak Testing
LLM Observability & Monitoring
LangSmith Langfuse Arize Phoenix TruLens

Download Free Software Testing Report Templates

Access a complete collection of software testing reports and templates for every QA phase.

  • 20+ ready-to-use QA report templates
  • Covers functional, automation, API, performance, security & mobile testing
  • Fully customizable for your projects
Download Free Test

Launch Reliable AI Applications with Confidence

Validate your AI applications for accuracy, security, performance, and reliability before they reach production.

Our Core Deliverables

Core Deliverables

Clear, actionable insights, test assets, and recommendations to improve the quality, security, reliability, and performance of your AI system.

Red Teaming Report

Findings from prompt injection, jailbreak, data leakage, and unsafe behavior testing.

Agent Trace & Failure Analysis

Tool usage, decision paths, workflow failures, and unexpected behavior.

Security & Compliance Assessment

Identified AI security, privacy, governance, and compliance risks.

Golden Datasets

Curated, representative test data with expected outcomes to benchmark AI accuracy, detect regressions, and validate model, prompt, and RAG changes consistently.

Engagement Models

Our AI Testing Engagement Models

Choose the engagement model that best fits your AI product maturity, release cycle, and business goals.

Project Based

End-to-End AI Testing

Best for AI launches, feature releases & one-time validation

  • End-to-end AI quality assessment
  • LLM, RAG & AI Agent testing
  • AI security & performance validation
  • Detailed evaluation reports
  • Production readiness assessment

Dedicated Team

Dedicated AI Testing Team

Scale AI quality with dedicated testing experts

  • Dedicated AI QA engineers
  • Continuous AI regression testing
  • Prompt, RAG & model evaluation
  • CI/CD & MLOps integration
  • Flexible monthly engagement

Managed Services

Managed AI Testing Services

Complete ownership of your AI quality lifecycle

  • AI testing strategy & execution
  • Continuous monitoring & optimization
  • AI governance & compliance support
  • Scalable testing resources
  • SLA-driven managed services
Metrics

AI Quality Metrics We Measure

We measure the key indicators of AI quality, including accuracy, groundedness, faithfulness, consistency, safety, performance, and reliability.
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Response Accuracy

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Faithfulness

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Groundedness

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Context Precision

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Context Recall

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Hallucination Rate

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Latency

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Token Usage

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Cost per Request

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Success Rate

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Tool Calling Accuracy

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Citation Accuracy

Why us

Why Choose PrimeQA Solutions for AI Testing?

From LLMs and AI Agents to RAG applications and enterprise copilots, we combine deep QA expertise with modern AI evaluation techniques to help you build reliable, secure, and production-ready AI systems.
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AI-First Testing Expertise

Validate LLMs, RAG systems, AI agents, MCP workflows, and Generative AI applications using proven AI testing methodologies.

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Comprehensive AI Evaluation

Test accuracy, groundedness, faithfulness, context precision, hallucinations, bias, and response quality with automated and human evaluation.

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Security & Responsible AI

Identify prompt injection ->jailbreaks, data leakage, AI vulnerabilities, and compliance risks before deployment.

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Enterprise-Scale Validation

Ensure your AI applications remain reliable under real-world workloads with performance, load, stress, and regression testing.

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Continuous AI Quality

Integrate AI testing into your CI/CD and MLOps pipelines for continuous validation after every model, prompt, or knowledge base update.

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Vendor-Neutral Expertise

We work with OpenAI, Anthropic, Google Gemini, Azure OpenAI, open-source LLMs, and custom AI models, helping you choose the right evaluation strategy, not just the right tool.

AI
AI-First Testing Expertise
AI-First Testing Expertise
Comprehensive AI Evaluation
Comprehensive AI Evaluation
Security & Responsible AI
Security & Responsible AI
Enterprise-Scale Validation
Enterprise-Scale Validation
Continuous AI Quality
Continuous AI Quality
Vendor-Neutral Expertise
Vendor-Neutral Expertise
Have Any Question?

FAQ Ask Any Thing About Our Works & Company.

Testing AI systems for accuracy, reliability, safety, and performance.
AI outputs can be unpredictable, requiring evaluation beyond traditional testing.
By evaluating responses for accuracy, relevance, hallucinations, and safety.
By validating decisions, workflows, tool usage, and failure scenarios.
Testing retrieval quality, context relevance, and response groundedness.
By comparing AI responses against trusted data and expected results.
We use the right mix of automated, open-source, and custom evaluation frameworks.
Yes, automated AI evaluations can run continuously within CI/CD pipelines.

Do You Have More Questions?

Our team is ready to provide you with a detailed consultation and answer any specific questions you may have.

Contact Us
Let's Talk

Ready to Write Your Own Success Story?

Partner with PrimeQA to build a scalable QA strategy tailored to your industry. Tell us about your project and we'll get back within one business day.

  • Free 30-minute discovery call
  • Custom testing strategy included
  • No commitment required