Reproducibility
Standardized splits, calibrated rigs, and documented protocols give your team benchmarks that other labs can actually replicate.
Research & Evaluation
Benchmark embodied AI with research-grade task libraries and datasets
Evaluate models on standardized real-world tasks captured by our expert operator network
The path to rigorous evaluation starts with standardized real-world task libraries.
Turn real-world human activity into reproducible benchmark datasets that academic and frontier labs can use to measure embodied intelligence progress.
Tridi delivers curated benchmarks and task libraries so your team can publish reproducible results on embodied AI.
Why research teams need standardized evaluation datasets
Coverage
Task libraries span manipulation, navigation, and long-horizon activity so evaluations capture the breadth embodied intelligence requires.
Publication-Ready
Research-grade annotation, expert review, and citation-friendly metadata get your work past peer review with less friction.
Engagement Framework
We'll provide the protocols, expert operators, structured outputs, and resources to transform research questions into datasets.
01
Scope
Define the tasks, splits, and metrics your benchmark requires
02
Capture
Expert operators record standardized sessions with documented protocols
03
Deliver
Ship benchmark datasets with annotations, splits, and eval tooling
Result
Reproducible benchmark datasets tailored to academic and frontier lab research
Example Use Cases
Skill Benchmarks
Pick-and-place, dexterous tasks, and tool use captured with consistent protocols.
Long-Horizon Tasks
Multi-step household and workflow activities with hierarchical action labels.
Evaluation Suites
Curated splits, baselines, and scoring tooling for reproducible model comparison.
The data infrastructure for physical AI breakthroughs