Generative AI
RLHF pipelines, prompt engineering, and synthetic data for foundation model alignment and generative AI development.
AI in Generative AI
Generative AI — foundation models, LLMs, and multimodal systems — requires the most sophisticated human feedback data in the industry. From preference ranking to red-teaming, human feedback quality determines model alignment.
Key ChallengesCalibrated preference data at scale across diverse task domains
Red-teaming coverage for safety, bias, and alignment failure modes
Multilingual RLHF for cross-lingual foundation model alignment
Synthetic data generation for rare scenarios and domain expansion
How We Help
Expert rater programs with domain calibration and IAA monitoring
Structured red-teaming protocols with adversarial prompt libraries
Cross-lingual RLHF pipelines with native-speaker rater pools
Validated synthetic data augmentation frameworks
Power Your Generative AI AI
Start with a scoped pilot — results in weeks, not months.