Human precision at machine scale.
Opus Data connects enterprise AI teams with elite, rigorously vetted annotators across the US and Kenya — delivering the quality training data your models depend on.
50M+
Labels Delivered
1,300+
Vetted Annotators
99.2%
Accuracy Rate
For years, AI companies have struggled to find quality training data.
We built the solution.
We pair rigorous vetting with multi-layer quality assurance, so every label meets the standard your models require — at any scale.
Enterprise-grade annotation, built responsibly.
From RLHF to multimodal pipelines, our specialists cover the full spectrum of training data — across every domain your models touch.
Python, JS, SQL, system design, code review
Clinical data, research, diagnostics
Banking, trading, risk modeling, compliance, financial analysis
Data analysis, BI dashboards, statistical modeling, reporting
Market research, user interviews, sentiment analysis, surveys
50+ languages, translation, localization
Physics, chemistry, biology, math
RLHF Training
Human preference ranking, response comparison, and reward modeling to make LLMs helpful, harmless, and honest.
LLM Evaluation
Red-teaming, safety testing, bias detection, and quality assurance pipelines before model deployment.
Text & NLP
Entity recognition, intent classification, sentiment labeling, and summarization for language models.
Multimodal
Image captioning, video labeling, audio transcription, and cross-modal annotation for foundation models.
Domain Experts
Medical, legal, financial, and coding expertise for specialized vertical AI applications.
Quality & Security
SOC 2 compliant, GDPR ready, with multi-tier review processes and accuracy guarantees.
Built for the most demanding
AI teams on the planet.
Dual-Hub Global Talent
Rigorously vetted hubs in the United States and Kenya — native English fluency, cultural context, and 24/7 time-zone coverage.
Enterprise-Grade Quality
Multi-layer QA protocol with inter-annotator agreement checks, expert review queues, and real-time accuracy dashboards.
Security & Confidentiality
Strict NDAs, SOC 2-aligned data handling, and air-gapped workstation options for sensitive datasets.
Elastic Scale
From 10K-sample pilots to 50M+ label production pipelines. Scale without compromising quality.
United States
RLHF, Legal, Medical, Finance NLP
Kenya
Multilingual, General NLP, Vision, Audio