Human Data Infrastructure

The eyes
of your robot.

Fovea delivers structured, human-verified physical world data — the ground truth your embodied AI needs to see clearly and act reliably.

12,847 Tasks Completed
847.3 Hours Collected
94% QC Pass Rate
12 Partner Slots
Real workers. Real environments.
Hands washing dishes — physical task data collection Hands folding laundry — manipulation data Hands chopping vegetables — kitchen environment data
Human-verified
physical world data
How it works

Two sides.
One pipeline.

AI labs specify what they need. Fovea workers collect it. Every task is structured, annotated, and quality-verified before delivery.

Worker flow
01
Browse available tasks

Workers see structured task briefs — location, expected duration, required equipment, and payout.

Mobile app Geo-matched
02
Collect in guided mode

In-app protocol guides exactly what to capture — angles, lighting, repetition count, environment conditions.

Step-by-step Structured
03
Submit & earn

Submissions pass automated pre-checks before manual review. Payment clears within 24h of approval.

Fast payout Transparent
Buyer flow
01
Configure data spec

Define task type, environment, capture format, annotation schema, and quality tier via the buyer portal.

Schema builder Format control
02
Monitor live collection

Real-time dashboard shows collection progress, geographic distribution, and per-session quality scores.

Live dashboard QC scoring
03
Receive verified data

Structured exports in your preferred format — JSON, HDF5, ROS bag — with full metadata and annotation bundles.

JSON / HDF5 ROS bags
Live pipeline — processing now
Worker ● ACTIVE
Upload
Ingest Auto-validate
QC Review
FOVEA Verify + Tag
Deliver
Buyer Lab / Research
12,847 Tasks Complete
847.3 Hours Collected
94% QC Pass Rate
Why Fovea

Built for embodied AI
from the ground up.

01

Structured by design

Every task produces data in a pre-agreed schema. No post-processing surprises. No format negotiation after delivery.

02

Human in the loop

Physical world data requires real humans in real environments. Synthetic won't cut it for manipulation training at the edge cases that matter.

03

Quality as infrastructure

QC is not a feature. It's baked into every step — automated pre-checks, human review panels, and per-session confidence scores.

Two portals

One platform.
Two entry points.

Founding cohort

12 organizations.
First access.

We are accepting a limited founding partner cohort — AI labs and robotics companies that want to shape the data infrastructure. 24-month preferred pricing locked in at launch.