AI Output Evaluation
Evaluate AI-generated responses for accuracy, relevance, completeness, safety, usefulness, tone, and alignment with client standards.
Learn more →Core services
Enterprise AI evaluation services.
NaCl Remote supports organizations that need reliable human judgment to improve AI performance, data quality, and operational accuracy.
Prompt-Response Review
Review prompt and response pairs using client-defined rubrics, instruction-following criteria, hallucination checks, and quality standards.
Learn more →RLHF Support
Collect structured human judgments through ranking, comparison, scoring, weak-response identification, and qualitative feedback.
Human-in-the-Loop QA
Validate AI decisions, review flagged outputs, check exceptions, and support workflows where automation alone is not sufficient.
Learn more →Data Annotation & Labeling
Support data preparation through classification, tagging, categorization, labeling, dataset review, and quality checks.
Learn more →Search Quality Rating
Assess search relevance, ranking quality, user intent match, content usefulness, and result accuracy.
Learn more →Content Review
Review AI-generated and user-generated content against client policy, quality, brand, relevance, and accuracy guidelines.
Learn more →Domain Expert Evaluation
Organize specialized reviewers for finance, healthcare administration, legal operations, education, business, coding, and customer support workflows.
Learn more →Workflow Execution Support
Manage structured operational work such as document review, output validation, data cleanup, repetitive evaluation tasks, and implementation support.
Secondary service line: Remote staffing and virtual support remain available for virtual assistants, administrative support, customer support, bookkeeping support, data entry, and back-office operations.
Data annotation & labeling
Training data, managed end-to-end.
From raw datasets to model-ready signal — classification, labeling, preference data, and instruction data, produced by vetted reviewers and verified with built-in quality assurance. You receive delivered, QA‑checked data, not a marketplace of contractors to manage yourself.
Classification & Tagging
Categorization, taxonomy labeling, intent and entity tagging, and structured metadata across text, document, and image data.
Dataset Review & Cleanup
Audit, de-duplicate, correct, and validate existing datasets — removing noise and inconsistencies before they reach your model.
RLHF & Preference Data
Pairwise comparisons, rankings, and scored human judgments that align model behavior with your standards.
Instruction & SFT Data
Author high-quality prompts and gold-standard responses for supervised fine-tuning, reviewed line by line for correctness.
Multilingual Annotation
Native-fluency labeling and evaluation across languages and locales, with cultural and linguistic nuance.
Built-in Quality Assurance
Second-level QA and client-specific rubrics on every batch, with measurable accuracy reporting — not just raw output.
Domain expertise: trained reviewers for Legal, Medical & Healthcare, Finance, Code & Engineering, Customer Support, and Multilingual workflows — managed under Intellego with confidentiality controls on every engagement.