Rubric develops exabyte-scale data infrastructure tailored for regulated industries such as healthcare and life sciences. The company focuses on converting human judgment into structured intelligence for AI training and evaluation. Their work addresses complex knowledge problems in domains where traditional metrics do not apply.
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.