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Applied AI Research
AI Research requires more than experimentation—it demands rigor, reproducibility, and deep domain expertise. Centific partners with leading AI labs, enterprises, and research teams to advance model capabilities through structured data generation, evaluation, and experimentation.
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Centific Research explores the frontiers of intelligent systems through research in AI agents, reasoning, post-training, safety, evaluation, alignment, and the science of data.
Research papers and publications
CuBEs: Culturally-Situated Behavioral Evaluations and the Limitations of Culture-Blind LLM Judges
Oct 2, 2026
Same Output, Different Gold: Measuring How Reference Choice Moves a Multilingual Benchmark Score
Oct 2, 2026
Closing the Deal Is Not Enough: A Behavioral Rubric for Agent-to-Agent Marketplaces
Sep 25, 2026
Beyond End-Task Success: How to Audit Visual Experience Retrieval in Robotics
Sep 22, 2026
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