DEPLOYDatabase

Robot model

R-noid

R-noid is a humanoid robot built by Robot.com.

Manufacturer
Robot.com
Form factor
humanoid
Maturity
pilot
Lifecycle
active

Deploy Watch

Track R-noid on Deploy.

We notify you when a verified state change lands on the record, not when the company issues a claim.

Pricing

No verified price is on record for R-noid. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Full change history →

Safety record

No incidents on record for R-noid.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Common questions

How much does R-noid cost?
R-noid's price is not publicly disclosed. DEPLOY has no verified price on record for R-noid from Robot.com. Physical-AI systems like this are often sold through enterprise contracts or operated as a service rather than at a public list price; check the manufacturer for the latest.
Is R-noid actually deployed in the real world?
R-noid is at the pilot stage: a trial is reported, but no deployment is yet verified at a named site on the DEPLOY registry. Manufacturer capability claims should be read as claims pending independent verification.
Who makes R-noid?
R-noid is made by Robot.com, based in San Francisco, California, USA, founded in 2017.
Can you buy R-noid?
R-noid is in pilot deployments with named customers and is not yet broadly for sale.
What are alternatives to R-noid?
On the DEPLOY registry, comparable humanoid robots to R-noid include Digit, Walker S2, Apollo, Unitree H2 Plus.
Methodology: Unreviewed · no sources on file · last reviewed 2026-07-18

Verification posture

Unreviewed

Low confidence

Review state

Stable

Last reviewed 2026-07-18

Maturity + lifecycle

Maturity stage: pilot

Lifecycle: active

Architectural position

Cohort: humanoid

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

Methodology surface for R-noid.