10,000+
Tasks Processed
Trusted AI Data Operations
AI Data Operations • Human Evaluation • Trust & Safety • Applied AI Research
Building high-quality AI data for smarter, safer systems.
Open Fraud Labs partners with AI companies, research institutions, and enterprises to collect, evaluate, annotate, and validate high-quality datasets while advancing research in fraud detection and trustworthy AI.
95%
Quality Accuracy
24 hrs
Average Turnaround
Human + AI
Hybrid Review
WHO WE ARE
Building Better AI Through Better Data
Open Fraud Labs partners with AI companies, research institutions and enterprises to build, evaluate and improve high-quality AI datasets.
We combine expert human evaluation, scalable data operations and applied AI research to help organizations develop safer, more reliable and trustworthy AI systems.
Enterprise Quality
Multi-stage quality assurance with expert human validation.
AI Specialists
Experienced reviewers trained for AI evaluation and annotation.
Research Driven
Workflows informed by applied AI research and continuous improvement.
Scalable Operations
Flexible teams capable of supporting projects from pilot to enterprise scale.
Services
Our Capabilities
We provide end-to-end AI data services that help organizations build, evaluate and deploy trustworthy AI systems at enterprise scale.
AI Data Operations
Collect, structure, annotate and manage enterprise datasets with scalable workflows.
- Dataset Collection
- Annotation
- Data Governance
- Dataset Delivery
Human Evaluation
Expert reviewers validate AI outputs using structured evaluation frameworks.
- RLHF
- Prompt Evaluation
- Response Ranking
- Expert Review
Trust & Safety
Protect AI systems through policy enforcement, moderation and quality assurance.
- Content Moderation
- Safety Review
- Risk Detection
- Quality Assurance
Applied AI Research
Support research teams with benchmark creation, evaluation and dataset analysis.
- Benchmark Creation
- Dataset Analysis
- Model Evaluation
- Research Support
SOLUTIONS
Solutions for Every Stage of the AI Lifecycle
Whether you're training foundation models, evaluating LLMs, improving AI safety, or building enterprise AI applications, Open Fraud Labs provides scalable human intelligence and AI data operations to accelerate development.
Foundation Models
Support large-scale model training with curated, high-quality datasets.
Human Evaluation
Expert reviewers evaluate model outputs using structured frameworks.
Trust & Safety
Protect AI systems with moderation, policy enforcement, and quality assurance.
Research & Benchmarking
Build benchmark datasets and evaluation pipelines for research teams.
Enterprise AI
Scalable AI data operations for enterprise AI products and internal teams.
Fraud Intelligence
Research-driven fraud detection datasets and human intelligence workflows.
Our approach
Our AI Data Lifecycle
Every AI project follows a structured quality pipeline that ensures consistency, scalability and enterprise-grade results.
- Human-in-the-loop review
- Multi-stage quality assurance
- Continuous client feedback
- Enterprise security standards
Requirements Analysis
Understand objectives, labels and evaluation criteria.
Dataset Collection
Collect or receive structured datasets.
Annotation
Expert annotators label and classify data.
Quality Review
Senior reviewers validate quality.
Dataset Delivery
Verified datasets delivered securely.
Continuous Improvement
Feedback loops improve future datasets.
Let’s build with care
Ready to strengthen your AI data pipeline?
We partner with teams shaping the next generation of trustworthy AI.