From data strategy to continuous monitoring, Argos Data supports every stage of the enterprise AI development lifecycle, combining human-in-the-loop expertise with quality-governed workflows at each step.
Scope refinement, workflow design, and rubric stabilization with AI and ML teams.
Human-centric collection across languages, modalities, and real-world scenarios.
Human-in-the-loop labeling for text, image, audio, video, and multimodal data.
Curated SFT, RLHF, and DPO data programs that align models to your objectives.
Structured evaluation, benchmarking, and inter-annotator agreement scoring.
Multilingual validation, RAG content review, and release-readiness checks.
Continuous safety, bias, and quality review for production AI systems.
Human-centric data collection that reflects real-world scenarios, behaviors, and model requirements.
Human-reviewed training data programs for improving LLM accuracy, alignment, reasoning, and domain performance.
Human-in-the-loop data labeling and feedback workflows that improve model accuracy, alignment, and reliability.
Structured prompt workflows for improving model behavior, task performance, and output consistency.
Enterprise-grade model evaluation for measuring AI quality, reliability, safety, and release readiness.
Language, locale, and culture-aware AI data services for global model performance.
Human-led evaluation and governance workflows for safer, more reliable AI systems.
Enterprise quality frameworks for consistent, auditable, and production-ready AI data operations.
Argos Data built a custom multimodal annotation tool in two weeks, helping a global technology provider cut quality issues by 98% and reduce project backlog by 90% across 4,000+ image conversation threads.
An enterprise AI leader cleared 80% of a stalled annotation backlog in three months through tiered expertise matching, embedded real-time QA, and elastic workforce scaling.
Argos Data built a centralized video annotation environment with automated quality enforcement, preserving 100% metadata integrity across 4,000+ videos for a leading AI team's conversational training program.
