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Gen AI Testing & Evaluation Services

Detect and Remove AI Biases and Hallucinations to Deliver Trustworthy Outcomes

Deliver Ethical and Contextual Responses

Enhops Gen AI Testing and Evaluation Services boost your AI application's performance & accuracy. With extendable architecture, contextual intelligence, and tools like prompt builders, our solutions are built on Azure's native data estate for a robust testing environment.

Our deep expertise in automation ensures Language Models are tested with high accuracy, reliability, and integrated with CI-CD pipelines. We prioritize responsible AI, adhering to Helpful, Honest, Harmless (HHH) principles and safeguarding data.

We Help in Testing These AI Applications


Chat Bots

Content Generation

Code Assistance

Medical Diagnosis

Financial Models

Translation Systems

Audio to Text

Educational Tools

Automate Smarter,
Not Harder.

Start your risk-free and budget-friendly PoC with us today

Our Approach

01


Understand
Customer Challenges
and Requirements

02


Data
Understanding
and Preparation

03


Synthetic
Dataset Generation

04


Manual and
Automated Prompt
Categorization

05


Configurable
Generator LLM and
Critic LLM

06


Evaluation
Metrics and Testing
Methodologies

07


Comprehensive
Test Reporting

08


Test Automation
Integration in CI/CD

09


Feedback and
Training

10


Continuous Learning
and Optimization

Gen AI Testing & Evaluation Capabilities

Tailored Solutions

Customized testing frameworks & methodologies to meet specific client needs and use cases.

Comprehensive Evaluation Metrics

Includes various metrics like performance accuracy, robustness, and ethical considerations.

Scalability and Integration

Tailored solutions for evolving enterprise needs, seamlessly integrating with workflows & AI frameworks.

User-Friendly Interface

Makes testing accessible and faster, even for non-technical users.

Deep Expertise in AI & Testing

Extensive experience in software testing, data management, and custom AI solutions.

Risk Identification & Mitigation

Targeted evaluation and iterative testing of language models and RAG systems.

Responsible Design and Release of AI Applications

Achieve optimal accuracy & performance through thorough testing and benchmarking

Ensure responsible AI practices by applying Helpful, Honest, Harmless ethical standards

Enhance context-awareness through refined prompt engineering

Align model performance with operational efficiency goals

Easily meet compliance and regulatory requirements, reducing risk

Enable ongoing optimization and updates to maintain peak performance

Gen AI Testing & Evaluation is Highly Preferred for

01

AI Researchers & Developers

To validate and improve model performance.

02

Enterprises Adopting AI

To ensure models align with business goals.

03

Healthcare Providers

To ensure models are reliable, accurate, and safe for sensitive applications like medical diagnostics.

04

Financial Services

To evaluate risk in using AI for decision-making, fraud detection, or compliance.

05

Regulatory Bodies

To ensure AI systems meet ethical and fairness standards, especially in regulated industries.

06

AI and Tech Startups

To refine their Gen AI products and avoid costly issues related to bias, hallucinations, or incorrect results.

07

MLOps Teams

To establish robust monitoring, evaluation, and optimization pipelines for deploying LLMs.

At our core, we leverage automation to address quality challenges, including those in Gen AI applications. Drawing on our parent company's (ProArch) expertise, we guide you toward tailored AI solutions that deliver the results you need.

Let’s Explore  
  • AI Strategy & Consulting
  • AI Governance
  • AI Design, Model Building, & Customization
  • Generative AI & Large Language Models (LLMs)
  • AI Maintenance

Frequently Asked Questions

Testing generative AI applications is inherently more complex than traditional testing methods. While conventional approaches involve clear functional and non-functional testing parameters, generative AI demands unique strategies tailored to its intricacies. To effectively assess these applications, several innovative techniques are employed like Synthetic Test Datasets, Benchmarking Against Ground Truth, Evaluation Metrics, and more.

Some Common metrics include Faithfulness, Relevance, Context Precision, Recall, Hallucination Rate, Bias, Toxicity, and ethical fairness.

Enhops offers a robust framework for testing that encompasses benchmarking, observability, and metric analysis across AI models to guarantee quality, performance, and fairness. Our ready-to-use accelerator provides clients with a head start in testing their generative AI applications, significantly reducing time to market and ensuring seamless application performance.

Yes, our Gen AI testing solutions are highly customizable and can seamlessly integrate with your current MLOps pipelines or other AI workflows.

Besides AI testing, Enhops offers services like software performance testing, functional testing, security assessments, and DevOps consulting to support end-to-end digital transformation.

Let's ensure the effectiveness, security, and fairness of your AI Applications


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