Extract training signals from expert actions; Build reinforcement learning environments for complex tasks; Design evaluation frameworks for contested ground truths; Capture knowledge across multiple modalities; Structure data for post-training applications
Co-Founder at Rubric AI (YC W26)
CEO, Co-founder at Rubric Labs
Co-Founder at Rubric Labs
Director at Rubric
Rubric offers several key products and services tailored for regulated industries, particularly in healthcare and life sciences. Their main offerings include:
Expert Signal Elicitation: This service focuses on extracting training signals from expert actions across various modalities, languages, and cultures. It helps organizations gather high-quality data for AI training.
Complex Reasoning Environments: Rubric builds reinforcement learning environments based on real expert decision-making for complex tasks. This allows for more accurate AI training that reflects real-world scenarios.
Epistemic Evaluation: This involves designing evaluation frameworks for domains where ground truth is contested, ensuring that AI systems are trained and evaluated on reliable and relevant data.
Multi-Modal Signal Integration: They capture and structure knowledge across different modalities, such as voice, image, and gesture, into datasets for post-training, enhancing the versatility and effectiveness of AI applications.
These offerings are designed to help organizations in regulated industries develop high-quality training data for AI, addressing complex knowledge problems where traditional metrics may not apply.