About
AI Testing Services

AI Testing Services for LLM and RAG Systems

We check how your AI behaves in real-world use to cut down on wrong answers, hidden errors, and compliance risks. Serving businesses across the United States.

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Or call +1 (539) 224-5216

In Brief

What Are AI Testing Services?

AI testing services check that an AI system gives accurate, safe and consistent answers before and after launch, using evaluation datasets, scoring metrics, adversarial prompts and monitoring.

Request an AI risk assessment

Who it is for

Teams launching LLM or RAG applications that cannot afford wrong answers, data leaks or compliance failures.

How FlowEazy delivers it

FlowEazy builds test sets from your real use cases, evaluates accuracy and groundedness, runs red-team and regression tests and sets up production monitoring.

For US companies

AI solutions are designed with HIPAA, CCPA and SOC 2 requirements in mind, with access controls and data minimization built in.

Trusted by 100+ Global Enterprises

Leading Global enterprises trust FlowEazy’s reliable, scalable, and result-driven AI solutions.

Why AI System Fails in Real World Use

Common issues that block safe, scalable, and cost-effective AI deployment.

Unpredictable AI
Behavior

AI produces hallucinations, inconsistent answers, and quiet failures once it’s running in production.

Unpredictable AI Behavior

Hidden Human
Review Costs

High AI error rates force large manual review teams and drive operational costs up.

Hidden Human Review Costs

Low Confidence in RAG
Answers

Retrieval systems sometimes pull the wrong documents while the AI still responds with high confidence.

Low Confidence in RAG Answers

Growing Compliance and Audit Risk

Lack of structured, repeatable AI testing makes it hard to satisfy auditors and regulators.

Growing Compliance and Audit Risk

AI Testing Services That Cover It All

Structured, repeatable testing across the full AI lifecycle, from pre-launch evaluation to production monitoring.

01

LLM & Generative AI Evaluation

We measure accuracy, hallucination rates, and consistency of LLM outputs against test sets built from your real use cases.

02

RAG Evaluation

We test retrieval quality and answer grounding so responses are backed by the right documents.

03

Safety, Security & Red Teaming

We probe for prompt injection, jailbreaks, data leakage, and off-brand or harmful outputs before your users find them.

04

Prompt & Regression Testing

We build automated test suites that catch quality drops whenever prompts, models, or data change.

05

Bias, Fairness & Compliance Testing

We check outputs for bias and document results in an audit-ready format for regulators and internal reviews.

06

Performance & Production Monitoring

We test latency, cost, and reliability under load, then monitor live behavior so issues are caught early.

Ready to Make Your AI Safer and More Reliable?

Book a 45-minute session with our AI testing experts to review your AI system’s risks and quality gaps.

How We Measure AI Quality

Reliable AI needs clear quality targets. We agree on measurable acceptance criteria before testing starts and keep tracking them after launch.

Accuracy and
Groundedness

We score outputs for correctness and check that answers are supported by your source data.

Accuracy and Groundedness

Consistency and
Robustness

We verify the system behaves predictably across rephrased questions, edge cases, and adversarial inputs.

Consistency and Robustness

Improving Operational
Reliability

We test latency, throughput, and failure handling so the system holds up under real-world load.

Improving Operational Reliability

Risk and
Compliance

We document test coverage and results to support ethical, regulatory, and data governance requirements.

Risk and Compliance

The Advanced Technologies We Use

Our AI testing services work across the leading AI platforms and cloud environments your systems are built on.

ChatGPT Logo

ChatGPT

Microsoft Azure Logo

Azure

AWS Logo

AWS

Why FlowEazy

Vendor-agnostic
AI testing

We test AI systems built on any model, vendor, or platform and recommend fixes without bias toward a particular tool.

Business-first, not
model-first approach

We start with your business goals and problems, then choose the right AI methods to solve them.

Strong focus on AI risk,
reliability, and compliance

We design AI systems that are safe, dependable, and aligned with legal and regulatory requirements.

Experienced Senior
AI Consultants

Work with AI experts who have successfully delivered and implemented AI solutions in real-world environments.

Take the first step in AI Testing

Partner with our team to make AI safer and more reliable for your business.

FlowEazy support consultant
Online Support

AI Testing Services for US Businesses

What working with FlowEazy looks like for teams in the United States.

01

Privacy-Aware by Design

AI solutions are designed with HIPAA, CCPA and SOC 2 requirements in mind, with access controls and data minimization built in.

02

Deployed in Your Own Cloud

Models and data can run in your own AWS or Azure account in US regions, so information stays where your policies require.

03

Support in Your Time Zone

Calls, training and go-live are scheduled in US business hours across Eastern, Central, Mountain and Pacific time, backed by 24/7 support.

04

Start With a Pilot

We begin with a focused pilot on your data, measure the result, and scale only what proves its value.

Frequently Asked Questions

Everything you need to know about our AI testing services.

Our AI testing covers LLM and generative AI evaluation, RAG testing, prompt and regression testing, safety and red-team testing, bias and compliance checks, and production monitoring. We test how your AI behaves in real-world use, not just in a demo.
Traditional software returns the same output for the same input, so tests check for exact results. AI systems are probabilistic: outputs vary, and failures such as hallucinations are subtle. AI testing therefore relies on evaluation datasets, scoring metrics, adversarial prompts and continuous monitoring rather than fixed pass/fail scripts alone.
We build test sets from your real questions and source documents, score responses for accuracy and groundedness, and flag cases where the model answers confidently without support. For RAG systems we evaluate retrieval quality and answer quality separately.
Yes. We test applications built on OpenAI, Azure, AWS and open-source models, and we work with your existing data, tools and pipelines.
We test for prompt injection, data leakage, bias and unsafe outputs, and document test coverage and results in an audit-ready format to support regulatory and internal governance requirements.
Yes. We set up regression suites and monitoring so quality is re-checked whenever prompts, models or data change, and issues are caught before they reach users.
Yes. FlowEazy works with businesses across the United States and delivers AI testing services remotely, with calls scheduled in US business hours and 24/7 support. Call +1 (539) 224-5216 or book a free 30-minute call to get started.
AI solutions can be deployed in your own AWS or Azure account in US regions, with access controls and data minimization built in. They are designed with HIPAA, CCPA and SOC 2 requirements in mind.
Book a free 30-minute call or send your requirements through the form on this page. You receive a custom strategy within 24 hours, followed by a written proposal with scope, timeline and milestones.