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🚀 Tbrain is a research-to-production data and evaluation partner for frontier AI teams. We design and operate high-quality data programs for Physical AI, coding agents, world models, model evaluation, and post-training. From defining protocols and building capture operations to annotation, quality control, and delivery, we provide the infrastructure required to turn ambitious research objectives into production-ready datasets. Our capabilities include: • Physical AI and robotics: Egocentric and multimodal data collection, motion capture, action and object annotation, segmentation, depth, and training data for robot foundation models • Agent and coding evaluation: Multi-step, tool-using tasks, execution traces, benchmark development, automated grading, and failure analysis • Model post-training: Expert-generated data, SFT, RLHF, preference ranking, red teaming, and rubric-based evaluation • AI-native quality control: Automated validation combined with structured, multi-layer human review Unlike open marketplaces, Tbrain builds managed teams around each program. Our domain experts, operators, reviewers, engineers, and researchers work within a controlled delivery system—with clear protocols, measurable quality gates, and full accountability. With operations in the United States and Vietnam, we combine specialized expertise, scalable real-world data collection, and cost-efficient execution. Our goal is to become deeply integrated into the model-development lifecycle: helping AI teams create the ground-truth data and evaluations needed to move from research to production. 📩 Learn more at tbrain.ai or contact info@tbrain.ai.

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Tam le is the Founder, AI and Data Partner, Head of US Operations of Tbrain.AI.

6 people are employed at Tbrain.AI.

Tbrain.AI is based in San Francisco, California.

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