

Human Alignment for Frontier AI






Rigorous RLHF Data Annotation
We provide high-quality human feedback for reinforcement learning from human feedback (RLHF) and AI feedback (RLAIF) across diverse language, vision, and code modalities.
Targeted Red-Teaming Protocols
Our specialists design and execute adversarial testing to stress-test frontier safety guardrails, identifying vulnerabilities and biases in complex AI systems.
Multi-Stage Accuracy Pipelines
Managed by trained domain specialists, our verification pipelines ensure strict benchmark compliance and data integrity for all evaluation datasets.
Four-Stage Precision Workflow
Define & Scope
Curate & Annotate
Verify & Validate
Integrate & Iterate
Collaborate to precisely define project objectives, data requirements, and evaluation metrics for your specific model alignment goals.
Our global operational workforce meticulously curates and annotates datasets with human-in-the-loop precision, adhering to strict guidelines.
Multi-stage accuracy verification and expert validation ensure data integrity and compliance with agreed-upon benchmark standards.
Seamlessly integrate validated datasets into your pipelines, with ongoing feedback loops for continuous model improvement and refinement.
Deploy Your Specialized Evaluation Pod
Initiate an enterprise benchmark audit or request a pilot scope to elevate your AI model's performance and alignment.
