AI model evaluation services
Evaluate your AI model outputs for accuracy, fairness, safety, and cultural relevance – with expert human validation across text, speech, image, and video.
Why leading AI teams choose LXT for AI model evaluation
Human-in-the-loop accuracy
Our expert reviewers assess AI outputs based on accuracy, appropriateness, and intent – ensuring that every response aligns with user expectations and ethical standards.
Bias & fairness assurance
Detect and mitigate demographic or cultural bias to build inclusive, globally relevant AI systems.
Safety & compliance validation
Human-led safety testing to identify toxicity, misinformation, and policy violations before deployment.
Structured, scalable workflows
Cross-modal evaluation of text, speech, and vision outputs in 1,000+ languages and dialects.
Multimodal & multilingual coverage
Cross-modal evaluation of text, speech, and vision outputs in 1,000+ languages and dialects.
Enterprise-grade data protection
ISO 27001 certified, SOC 2 compliant, and GDPR-aligned with secure-facility options.
LXT for AI model evaluation
We combine global reach with human insight to measure what truly defines trustworthy AI – factuality, fairness, and safety. LXT’s model evaluation services go beyond benchmarks, using structured human review to identify errors, hallucinations, or biased behavior in AI-generated outputs.
With transparent scoring, reproducible metrics, and actionable feedback, you can confidently refine your models and maintain performance across diverse users, regions, and use cases.
The outcome: AI that performs accurately, communicates responsibly, and scales safely worldwide.
Our AI model evaluation services include:
Our AI model evaluation services cover every dimension of model performance – from factual accuracy to fairness, safety, and multilingual consistency. Each evaluation is designed to identify weaknesses, reduce bias, and enhance the reliability of your AI outputs across diverse real-world contexts.
Output accuracy & relevance
Evaluate factuality, coherence, and user-intent alignment of generated responses.
Bias & fairness testing
Analyze representation, stereotyping, and balance across demographics, regions, and languages.
Ad & caption relevance
Judge how well ads and captions align with search queries and user expectations.
Product & document categorization
Label items into meaningful, searchable categories to improve filtering and UX.
Safety & compliance evaluation
Identify unsafe or non-compliant content – from toxicity to data leakage and policy breaches.
Multimodal & multilingual validation
Ensure consistency across text, speech, and visual outputs in multiple languages.
Guardrail robustness testing
Verify correct refusals and resistance to jailbreak or prompt injection attacks.
Hallucination & reliability analysis
Assess factual grounding and consistency over varied prompts and sessions.
LXT AI model evaluation project process
Every AI model evaluation project at LXT follows a structured, transparent workflow designed for scalability, precision, and continuous improvement – from initial consultation to final delivery.
We begin with a detailed consultation to understand your AI model, evaluation goals, and specific risk areas. Together, we define target tasks, locales, and KPIs to ensure every metric reflects your success criteria.
Our team designs a tailored evaluation workflow — selecting the right evaluator profiles based on language, expertise, and domain relevance. We implement screening filters, NDAs, and access controls to meet your security and compliance needs.
LXT collaborates with your teams to create clear evaluation rubrics, examples, and gold-standard references. A pilot phase then calibrates evaluators for consistency and establishes inter-rater agreement benchmarks.
Once approved, the project scales through our managed global workforce. Human evaluators assess outputs for accuracy, fairness, and safety, while automated systems handle task routing, sampling, and progress tracking.
Multi-layer QA ensures reliability at every stage — including seeded gold tasks, peer reviews, statistical audits, and live analytics dashboards for transparent performance monitoring.
Final evaluation results are securely transferred in the format you prefer — via API, data feed, or encrypted file delivery. Structured outputs include all agreed metrics and metadata, enabling seamless integration with your internal analytics tools or model management systems.
For ongoing or recurring projects, LXT provides continuous evaluation cycles to monitor post-deployment model performance and maintain data quality over time. Workflows can be scaled, automated, or repeated at defined intervals to ensure your AI remains accurate, safe, and compliant as it evolves.
Secure services for
AI model evaluation
Evaluating AI model outputs often involves sensitive information — from proprietary model responses and datasets to user-generated content and confidential domain data. At LXT, data protection is built into every stage of our AI model evaluation workflows.
Our ISO 27001 certification and SOC 2 compliance ensure enterprise-grade security and strict governance over how data is accessed, processed, and stored.
For highly sensitive evaluations, LXT offers secure facility options – where vetted specialists perform all tasks in controlled environments, with no access by the broader crowd. This is ideal for projects involving confidential algorithms, regulated data, or safety-critical applications.
Whether through our managed global workforce or inside secure facilities, we design every AI model evaluation project to meet your privacy, compliance, and operational requirements — without compromising speed, scale, or quality.
Industries & use cases for AI model evaluation services
Our AI model evaluation services support organizations across industries where accuracy, fairness, and compliance are critical. We help teams validate and optimize AI performance in real-world, domain-specific contexts.
Technology & Generative AI
Benchmark and refine LLMs and multimodal models for accuracy, fairness, and safe outputs.
Healthcare & Life Sciences
Validate AI-generated summaries, diagnoses, and recommendations for accuracy and compliance.
Finance & Insurance
Test model transparency, bias, and regulatory adherence in risk or fraud assessments.
Media & Social Platforms
Evaluate captions, recommendations, and moderation responses for safety and cultural fit.
Public Sector & Legal
Ensure fairness, transparency, and explainability in decision-support and policy models.
Automotive & Manufacturing
Evaluate perception, quality control, and safety analytics models to ensure reliable performance in autonomous systems, robotics, and industrial automation.
Further validation & evaluation services
AI model evaluation is only one part of building reliable and responsible AI systems. LXT offers a complete range of validation and evaluation services that help you verify both the quality of your training data and the performance of your deployed models – ensuring accuracy, fairness, and long-term trust.
AI data validation & evaluation
Discover our full suite of validation and evaluation services – from data readiness checks to post-deployment monitoring.
Training data validation
Validate your datasets before model training to confirm accuracy, balance, and representativeness.
Search relevance evaluation
Measure how effectively your AI retrieves and ranks content to reflect user intent and cultural context.
Human in the loop
Integrate human oversight and expert feedback loops to continuously validate and refine model outputs.
FAQs on our LXT AI model evaluation services
AI model evaluation is the process of assessing a model’s outputs for accuracy, bias, safety, and cultural relevance. Human experts validate generated results across text, image, video, and speech modalities to ensure the model performs reliably and responsibly in real-world conditions.
Our multi-layer QA framework includes expert calibration, inter-rater agreement tracking, and continuous auditing. Every evaluation is benchmarked against gold-standard data and verified by trained specialists to maintain consistent, unbiased results.
We evaluate outputs from Large Language Models (LLMs), multimodal AI systems, generative models, and domain-specific applications — including conversational AI, recommendation engines, and classification systems — across 1,000+ languages and locales.
Yes. LXT is ISO 27001 certified and SOC 2 compliant. For projects that require strict confidentiality, evaluations can be performed in secure facilities by vetted staff, ensuring that sensitive data and model outputs remain fully protected.
We deliver detailed evaluation results via secure channels, including structured scorecards, dashboards, and annotated datasets in formats such as CSV or JSON. Data can also be integrated directly into your environment via secure API or encrypted file transfer.
Pricing depends on factors such as evaluation type, data modality (text, audio, video, image), task complexity, and language coverage. We offer scalable enterprise pricing models based on volume and project duration. Contact us to discuss a customized quote for your specific evaluation needs.