Embodied data for humanoid robots · Evaluation for frontier LLMs — purpose-built for the post-training era.
Multi-step reasoning, CoT correctness, long-context tasks — expert rubrics with multi-judge agreement.
Trajectory review, tool-use verification, failure-mode root-cause attribution — not aggregate scoring.
High-quality preference data + inter-annotator calibration loops for reinforcement learning feedback.
Medicine, finance, code, law — tier-gated subject-matter experts, not generic crowdworkers.
First-person interaction, VR-assisted capture, robotics manipulation — real-world data at scale. Explore the brokerage →
Adversarial probing, harm classification, continuous safety regression.
Toward evaluation design, RL environments, and expert verification — defining the capability frontier where models are not yet reliable.
Rubric systems for complex reasoning / multi-step / agent behavior, anchored by expert scoring standards and multi-judge agreement — failure modes loop back to rubric iteration, compounding evaluation quality over time.
Reproducible task environments with auditable rewards. Trajectory replay, ground-truth labeling, reward shaping — supporting agent evaluation, tool-use verification, and multi-turn alignment.
A tier-gated global expert network providing reasoning correctness, agent trajectory, and safety verification — humans defining what the model "ought to" produce.
A compliance-native intelligence network for reasoning evaluation, agent supervision, and embodied AI operations.
Engagement-scoped routing · China-resident expert work bound to China-region engagements · Global engagements route to diaspora professionals · See routing policy →
Teehoo AI is a global team operating across five offices in three jurisdictions, purpose-built to serve frontier AI labs globally while remaining compliance-native in every region we touch.
Our flagship business — AI workforce infrastructure — provides embodied AI data for humanoid robotics and expert evaluation for frontier LLMs. Our in-region operations hold infrastructure that other foreign vendors structurally cannot replicate: data sovereignty, in-region compute, and regulator-aligned audit trails.
We're hiring across research, engineering, and operations — in every office. If you've thought about what comes after pure scaling laws, talk to us.
