Annotated action datasets
Human action data captured on real construction sites — labeled, segmented, and quality-checked for training.
Physical AI training data
Real construction data for physical AI
Farasa captures authentic human labor — actions, tool use, and long-horizon workflows — on live construction sites, and delivers professionally annotated datasets and trajectories for robotics and embodied AI teams.
TRAJ-0042 · lift-carry-place · 9.0s
approach
0.0s / 9.0s
wrist_r · x 0 · y 0
drag the timeline · hover the joints
The problem
Most physical AI data never touches the real world
Models trained for physical work are still learning from simulation, staged lab demonstrations, or datasets that are too clean to transfer. Real job sites are unstructured: cluttered, dynamic, and full of long, multi-step tasks that synthetic data can't reproduce.
Simulated
Physics engines miss the friction, deformation, and unpredictability of real materials and tools.
Lab-based
Controlled environments strip out the clutter, occlusion, and improvisation that define real work.
Too clean
Short, scripted clips can't teach the long-horizon reasoning that physical tasks demand.
What we deliver
Datasets built from real work, annotated to specification
Long-horizon trajectories
Complete multi-step task recordings, from setup to finish, structured for imitation learning pipelines.
Custom data collection
Targeted capture campaigns on active job sites, scoped to the tasks, tools, and viewpoints your models need.
Pose & interaction annotation
High-quality pose, object-interaction, and workflow annotations produced by skilled technical teams.
Why Farasa
Ground truth from the ground up
0+
hours captured weekly
0
active job sites
0
tracked keypoints per worker
0%
annotation QA pass rate
Live site access
Direct, ongoing access to active construction sites — not staged reenactments or one-off shoots.
Expert annotation
Skilled technical teams who understand both the labor being performed and the models being trained.
High fidelity, controlled cost
Real-world data at a cost structure that makes large-scale collection practical.
Built for heavy physical work
A deliberate focus on construction and demanding physical tasks — the hardest domain for embodied AI.
Who we serve
Teams building machines that work in the real world
- Construction robotics companies
- Embodied AI research labs
- Humanoid robotics teams
- Physical AI data platforms
How it works
From job site to training set
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1
Scope
We define the tasks, viewpoints, sensors, and annotation schema with your team.
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2
Collection
Our operators capture real workflows on active construction sites, with full consent and safety compliance.
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3
Annotation
Technical annotators label poses, interactions, and task structure against your specification.
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4
Delivery
Quality-checked datasets delivered in your format, ready for training and evaluation.
Get started
See the data for yourself
Request a sample dataset or tell us what your models need. We'll respond within two business days.