Limbik Human-Validated Synthetic Personas for AI Alignment

Limbik provides human-validated synthetic personas that align your AI models with the audiences or users your model needs to serve. Built for teams using Amazon Bedrock, Amazon SageMaker, and custom LLM pipelines, Limbik delivers persona-labeled training examples, fine-tuning services, and resonance evaluations to increase accuracy, reduce hallucinations, and improve real-world model adoption.

General-purpose LLMs are trained on broad, generic web data. This often leads to outputs that are logically correct but emotionally misaligned with the specific audiences or users your model needs to serve. Limbik closes this alignment gap using synthetic personas built from six years of human-labeled behavioral data across more than 6,600 audience segments in 60+ countries. These personas behave like real populations, enabling fast, cost-efficient, and research-grade tuning and evaluation of AI systems—while reducing annotator variance and human labeling bias.

• Persona-Labeled Training Examples: High-quality alignment data generated by synthetic personas (“persona-labeled training examples,” meaning training data labeled according to how a specific audience persona would respond). Ideal for preference modeling, fine-tuning, and reward modeling.
• Fine-Tuning as a Service: Limbik partners with your team to deliver fine-tuned models that better align with specific audience preferences, values, and communication styles.
• AI Resonance Evaluations (LLM-as-a-Judge): Evaluate and score the resonance of model outputs across personas to ensure safer, more aligned AI deployments across prompts, tasks, and deployment scenarios.

Limbik accelerates model alignment and provides technical teams with reliable, persona-aligned training and evaluation signals. Whether you need persona-labeled datasets, fine-tuning pipelines, or scalable resonance evaluation workflows, Limbik delivers a fast, accurate, and confidential alignment layer for enterprise AI.

Explore publicly available personas here: https://audiences.limbik.com 

View LLM resonance evaluation benchmarks: https://resonance.limbik.com