Exemplar · Ego
Packaging line
First-person packaging workflow. High hand visibility, repeated micro-skills, the kind of industrial motion policies need.
View on Hugging Face →Physical AI · Demonstration data
Seneca Trace operates capture infrastructure inside active manufacturing lines, converting expert demonstrations into millimeter-precision datasets for robot foundation models, VLA policies, and imitation learning at scale.
$0T
Projected humanoid robotics market by 2050. Source: Morgan Stanley
0M
Unfilled US manufacturing jobs projected by 2030. Source: Deloitte
<99%
Of robot training data comes from real industrial environments
0×
Data gap between language models and embodied AI. The scaling bottleneck
00 / Exemplars
Public head-mounted footage from industrial and workplace tasks on Hugging Face. Used here as domain references only. Seneca Trace captures partnered plant processes under NDA. Proprietary collects coming soon.
First-person packaging workflow. High hand visibility, repeated micro-skills, the kind of industrial motion policies need.
View on Hugging Face →Egocentric metal fab task in the wild. Contact-rich tool use and precision hand-object interaction on a live shop floor.
View on Hugging Face →Head-mounted clip from a real factory worker (Build AI Egocentric-10K subset). In-the-wild industrial demonstration density.
View Egocentric-10K →01 / The bottleneck
Foundation models for manipulation are compute-rich and data-poor. Simulation covers the sim-to-real gap only so far. The frontier is real-world demonstration data from environments that actually matter economically.
/ 001
VLA and imitation learning need thousands of real human demonstrations. For millimeter-precision industrial tasks, that data barely exists on the market.
/ 002
What you find wasn't recorded for your embodiment, sensors, or environment. You burn cycles adapting data instead of training.
/ 003
Standing up capture infrastructure inside a factory takes weeks, people, and capital. Every iteration delays deployment.
02 / How it works
Supply / The factory
We install our capture kit on active lines under NDA and revenue share. Expert operators keep working while we record the mastery: synced RGB-D, egocentric video, and process metadata.
Demand / The lab
QC'd, segmented, and annotated demonstrations exported in the format your stack already consumes. Off-the-shelf packages or bespoke collection built around your tasks.
03 / Capabilities
Off-the-shelf industrial demonstration datasets, ready to license. Client-suited collection when your task, sensors, or schema require a custom pipeline.
| Offerings | General packs for common workflows. Bespoke collects scoped to your embodiment, environment, and export stack |
| Domains | Manufacturing, logistics, services, and other skilled workflows where demonstration data is the bottleneck |
| Capture | Multi-view, egocentric, or mixed. Sensor stack set per engagement |
| Labels | Skill segments, success / fail, custom taxonomies, metadata schemas |
| Delivery | LeRobot, HDF5, ROS 2 bags, or a pipeline matched to your training loop |
| Engagement | Catalog license, pilot collect, recurring drops, exclusive terms. Consent and IP by contract |
Seneca taught a generation through letters, knowledge that traveled without the teacher. Our datasets are those letters. Robots are the students.
04 / Early access
Factory, robotics lab, or integrator? Leave your email and we'll reach out about pilot deployments and dataset access.