QE for AI

Ensuring high quality, secure, and fair AI

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Leading with
Proven Outcomes

80%

Improved response consistency

80%

Faster model response times

50%

Reduced manual effort

90%

Easy integration with CI/CD

Bridging the AI Quality Gap with Industry-Leading QE Solutions 

As AI adoption accelerates, a critical gap emerges—ensuring AI systems function with accuracy, security, and ethical responsibility. Many AI models face challenges like model drift, adversarial vulnerabilities, biased decision-making, data inconsistencies, and lack of explainability, leading to unreliable predictions, security risks, and compliance failures.

At Tx, we recognize these gaps and lead the way in AI Quality Engineering, leveraging our expertise to deliver comprehensive QE solutions. Our Agentic approach, AI-based frameworks and years of industry experience make us the best equipped to systematically validate AI models, enhance data integrity, ensure regulatory compliance, and mitigate biases, ensuring your AI systems are robust, scalable, and trustworthy.

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Why your AI Systems Need Quality Assistance

  • Seamless integration across models, agents, and APIs

  • Secure, bias-free, and compliant AI models

  • Accurate and reliable system outcomes

  • Scalable solutions for growing demands 

  • Hallucination prevention through continuous monitoring 

  • Data quality maintenance for sustained performance 

Our next-gen AI QE Services

Testing of Large Models 

Large models like LLMs and LVMs power over 95% of AI applications in today’s market. Backed by years of testing data, advanced tools and accelerators, and on-premises expertise, we ensure your models deliver the right results while maintaining compliance with standards for bias, fairness, and accessibility through our robust Adversarial Testing frameworks.

Agentic AI QE 

We validate Agentic AI functionality and workflows for accuracy, reliability, and efficiency across performance, security, accessibility, and UX/CX testing—ensuring your agent’s AI-driven decisions align with industry standards and meet high-quality benchmarks. 

Quality Engineering of AI

Through adversarial, performance, security, and bias testing, we validate models like LLMs and LVMs to meet high industry standards. Our continuous monitoring, regular updates, and stakeholder collaboration guarantee that AI systems perform optimally, securely, and ethically, fostering innovation and confidence in AI solutions.

AI Advisory

We guide businesses through AI adoption, upskilling teams, and organizational transformation for Agentic AI readiness. Our services include platform evaluation, strategic AI planning, and maturity assessments to ensure seamless integration and optimized AI-driven operations.

AI Governance Frameworks 

We develop ethical AI policies, bias detection models, and regulatory compliance frameworks to ensure AI systems adhere to data privacy, security, and ethical standards, managing risks while promoting responsible AI deployment.

AI vs AI 

Our dedicated AI QE division is formulating technologies to test AI with AI, leveraging multi-model agents to deliver seamless automation for accurate, secure, and ethical AI systems.

Our Approach

Model Evaluation & Validation  

  • AI model benchmarking  
  • Adversarial testing  
  • Compliance validation

Performance Monitoring 

  • Real time AI tracking  
  • Workflow management 
  • Feedback loops 

Security Compliance & Privacy  

  • AI penetration testing  
  • Encryption
  • Secure AI development 

Data Quality Management

  • Bias mitigation 
  • Data cleansing 
  • Data annotation 

Technology Partners

Our Differentiators

check-mark-icon Advanced AI Testing Techniques

Proprietary solutions and strategic partnerships integrated for your AI’s quality. 

check-mark-icon Expert AI & ML Team

Specialists in AI validation, ML models, and ethical AI governance. 

check-mark-icon Our Data

Years of testing data used to ensure your AI quality.

check-mark-icon Customized AI Testing

Tailored solutions addressing specific business and technological needs. 

check-mark-icon Continuous AI Monitoring & Optimization

Post-deployment support for real-world performance. 

Get a Consultation

  • Speak directly with a Quality Engineering Director

  • Get solutions tailored to your unique testing challenges

  • Identify QE for AI opportunities and build a roadmap for success