Case Studies
Real enterprise AI programs. Measurable outcomes.
See how Argos Data helps AI teams move from pilot to production through custom tooling, vetted expertise, and quality-governed workflows.
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- 50%Boost in Productivity98% Fewer Quality Issues90% Reduction in Project Backlog2 Weeks to Deploy Custom Tooling
Optimizing Multimodal LLMs With a Custom Annotation Tool
Read the case study - 80%Backlog Cleared in 3 Months50% Efficiency Boost on Critical Tasks30% Cost Savings Through Resource Optimization
How an Enterprise AI Leader Cleared 80% of Its Backlog in Three Months
Read the case study - 4,000+Videos Annotated100% Video Metadata Integrity MaintainedScalable Across Linguists and Languages
Automated Video Annotation for Conversational AI Training
Read the case study - 70,000Annotations Managed10–12 Quality Checks Per TaskSingle-Environment Evaluation at Scale
Automated Response Evaluation at Large-Scale AI Training Volume
Read the case study - 73%Decrease in Per-File Processing Time275% More Files Processed Daily6,000+ Files Annotated Across 4 Language Combinations
Streamlining Multilingual LLM Quality Evaluation Across Four Languages
Read the case study - Billionsof Live Product Listings on the PlatformHundreds of Millions of Active Buyers WorldwideArgos Data's Position as the Marketplace's Preferred Annotation Supplier
Mass Annotation of Billions of Product Listings — Without the Inconsistencies
Read the case study - 5 Task CategoriesEvaluated4 LLMs Compared in a Unified Environment3 Difficulty Levels Calibrated Through Cross-Model Performance
Structured Prompt Engineering and Multi-Model LLM Evaluation for E-Commerce
Read the case study - 5 LanguagesEvaluated (Hindi, Japanese, Korean, Brazilian Portuguese, Simplified Chinese)2–3 Minutes Average Task Time (vs. 5–7 Minutes Estimated Without Tooling)Zero Ingestion Backlog
Multilingual Spoken Agent Evaluation at Scale — With Zero Backlog
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