Expert Robotics & Embodied AI Data Built for Frontier Standards

Structured datasets for embodied reasoning, world modeling, and simulation. Start with sample data to validate fit before scaling to a full pack.

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Building intelligence through embodiment and simulation

Turing’s robotics data packs support embodied AI across world modeling, imitation learning, and embodied reasoning. Each dataset is curated with research-grade QA, ensuring reproducibility across simulated and real-world tasks.

Structured datasets for embodied reasoning and robotics

Each data pack is available as a sample dataset. Samples are designed to validate scope and quality before engagement on full volumes.

World Modeling from Video Games

Gameplay data with action labels from PS5, Xbox, and PC titles for robot world models.

Simulation Environments for Robotic Tasks

Custom environments in Omniverse, IsaacSim, MuJoCo, or ManiSkill with annotated trajectories and QA.

Teleoperation and Imitation Learning Data

Demonstration episodes via VR or kinesthetic teaching, annotated with action traces and instructions.

Embodied Chain-of-Thought Reasoning Traces

Robot demos segmented into short horizon tasks with curated reasoning traces and temporal logic.

Failure-Mode QA Datasets

Annotated episodes tagging failure cases, physics glitches, rendering errors, and error-recovery routines.

Synthetic Augmentation of Robot Data

MimicGen/DexMimicGen-style scaled demos with added VQA, natural-language labels, and multimodal annotations.

Standards trusted by frontier AI labs

Accelerate embodied reasoning in your LLM

R&D-driven standards

Criteria and taxonomies aligned with research use.

Transparent, auditable pipelines

Trace every data point end-to-end.

Elite, domain-specific talent

PhDs, Olympiad-level specialists, and vetted SMEs.

Human-in-the-loop + AI feedback loops

Combined review to catch edge cases and ensure reproducibility.

Accelerate embodied reasoning in your LLM

Talk to our experts and explore how Turing can accelerate your world modeling, simulation, and robotics research.

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Ready to expand your model capabilities with expert data packs?

Get data built for post-training improvement, from SWE-Bench-style issue sets to multimodal UI gyms.

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