Our mission

People and intelligence

AI is becoming part of creative work, communication, and everyday collaboration. Its usefulness depends on understanding context, staying consistent in long conversations, and adapting when people change their minds.

OneZero Labs studies social intelligence, real-time generation, multimodal models, and evaluation. We aim to make AI more natural and reliable in complex human settings, with capabilities people can understand and verify.

Our mission connects human understanding with interactive creation. It calls for progress in models and engineering, alongside careful attention to misunderstanding, bias, and risk.

Understanding people

Communication carries emotion, relationships, and unspoken expectations. A useful response needs to account for who is speaking, what came before, and what remains uncertain.

We study character consistency, context, emotional response, and long conversations. Users should be able to correct the system, set boundaries, and decide how the interaction develops.

Worlds in motion

Characters move, environments change, and users give new instructions. Generative systems need to maintain identity, space, movement, and timing as the experience unfolds.

We explore visual and multimodal generation that builds on preceding events. Quality, latency, control, and cost all shape the experience and need to be evaluated together.

Connecting research and experience

Research tests ideas, applications expose real constraints, and evaluation measures progress. We connect all three so findings from real use can inform research, and research can reach products with clear evidence.

OmniSoul focuses on social intelligence. OmniFlow connects live interaction with character video. OmniX-1 explores video generation. Amicura brings these ideas into AI companionship, while SociaBench evaluates social intelligence. Each project’s page describes its availability, capabilities, and terms.

Long-term research goals

We measure progress through lasting performance: consistent conversations, responsive generation, efficient inference, and reproducible results.

We welcome researchers, engineers, creators, and users to help advance this work through experiments, feedback, and review. We document limitations as our research develops.