Normalized episode evidence
One evidence model across simulation, bench tests, and fleet telemetry.
Release evaluation for robotics teams
Sentinuum collects test results from simulation, hardware runs, and deployed fleets, so your team can compare policy versions, investigate failures, and record release decisions.
01 / THE PROBLEM
As policies take on more tasks, teams need to compare evidence from simulation, recorded runs, and hardware tests. The methods and metrics often differ across those environments, which makes release decisions harder to reproduce. Sentinuum gives the team one traceable record from each episode to the decision to ship, hold, or test again.
02 / PRODUCT WORKFLOW
Collect outcome-bearing episodes from simulation, bench tests, and fleet runs.
Score episodes against a versioned evaluation contract.
Trace regressions and group repeated failure modes.
Record the evidence, threshold, owner, and release state.
03 / CAPABILITIES
Sentinuum keeps test results, policy versions, failure analysis, and release criteria connected so engineers can review what changed and decide what to do next.
One evidence model across simulation, bench tests, and fleet telemetry.
Pin scenarios, metrics, thresholds, and policy versions to every decision.
Find repeated failure modes without reducing every run to a pass/fail count.
See where simulated results hold on hardware and where they diverge.
See what changed, when it changed, and which episode groups moved.
Set measurable ship criteria and review them before each release.
Move release state into the engineering systems your team already uses.
Focus the next test run on the evidence gap most likely to change a decision.
04 / ARCHITECTURE
Your robots, simulators, telemetry, and source data stay with you. Sentinuum runs the normalization, evidence lineage, evaluation, and release workflow on top.
TEXT-BASED ADAPTERS
05 / CURRENT PROOF
463
REAL ROBOT-MANIPULATION EPISODES
The current prototype uses 463 real robot-manipulation episodes from the UCI Robot Execution Failures dataset (CC BY 4.0). Every metric is measured or deterministically derived from the underlying evidence.
This is a reference prototype—not a customer production deployment.
06 / WHO WE BUILD WITH
Warehouse & logistics robotics
Industrial manipulation
Humanoids
Autonomous mobile robots
Drones
Medical & assistive robotics
07 / DESIGN PARTNERS
In a six-week paid pilot, we connect one robot program and one data source, define the release criteria with your team, and evaluate an active policy decision.
Discuss a pilot08 / COMPANY
Sentinuum is built by a technical founder with extensive experience across physical AI and platform engineering, including work in the Stanford ecosystem. That background spans robotics evaluation, production software, and the infrastructure needed to turn complex test data into decisions engineers can act on.
We are currently working with robotics teams on active policy-release decisions and looking for design partners who want a more rigorous, repeatable evaluation process.
CONTACT
We use this information only to respond to your inquiry.
09 / FAQ
No. Simulators still generate the test data. Sentinuum makes the results comparable and traceable.
No. Sentinuum supports evidence-based release decisions; it is not a safety certification body.
The customer retains ownership of source data. Sentinuum owns its platform, normalization, and evaluation logic.
An active release, at least 200 outcome-bearing episodes, and a technical owner.