Zenobia Systems

AI-factory yield management

Radically different
by design.

Zenobia gets stranded hardware back into a justified state—with evidence for what the machine can safely do next.

It does not run the same checklist every time. Each result narrows the possible causes and tells Zenobia what to test next.

See the agent at workExplore the method

The whole product, in five levels

One decision. A much deeper system behind it.

The customer sees a disposition. Underneath it is an investigation that persists, crosses organizational boundaries, and improves with every resolved case.

01 · Customer outcome

Put the machine in a justified state

Return it, limit it, repair or RMA it, or keep it isolated for one named test.

02 · Technical mechanism

Let each result choose the next test

Eliminate possible causes instead of repeating the same health-check sequence.

03 · Case architecture

Keep the investigation alive

Hypotheses, experiments, exclusions, decisions, and evidence persist together.

04 · Across companies

Continue without falling back to prose

The case can run in operator, vendor, or supplier environments under local control.

05 · Compounding specialist

Make the common instrument better

Closed cases improve approved tests, methods, and the next investigation.

The Zenobia agent

An investigator whose eyes are capabilities.

Zenobia keeps the original incident evidence, then perturbs, measures, and observes the isolated system thousands of times. The point is not more testing. The point is choosing the next useful test.

Thermal sensing

Oscillating calibrated sensors across the stack.

Power analysis

Per-rail, transient, phase-resolved response.

Memory introspection

Register reads, ECC, retention, and stress patterns.

Timing calibration

Latency, skew, and jitter across compute, network, and tray-control domains.

Cutaway illustration of the Zenobia agent operating inside an isolated hardware system

Workload injection

Synthetic, micro, and approved real-world workloads.

Performance counters

Hardware PMU, custom counters, and synchronized traces.

Firmware & configuration

BIOS, BMC, drivers, policies, and governors.

Topology discovery

Connections, lanes, links, switches, and dependencies.

Each measurement changes what Zenobia believes—and therefore what it does next.

From incident to disposition

Each answer reshapes the next question.

A fixed suite asks the same questions in the same order. Zenobia spends the next experiment only where it can remove uncertainty.

  1. 01
    Observe

    Preserve the incident

    Keep the device identity, workload behavior, and operating conditions from the original event.

  2. 02
    Narrow

    List what could explain it

    Maintain several possible causes instead of jumping to the first plausible answer.

  3. 03
    Choose

    Choose the separating test

    Run the safe experiment most likely to distinguish between the remaining causes.

  4. 04
    Act

    Measure what changed

    Correlate the response across sensors, counters, registers, workloads, and matched controls.

  5. 05
    Update

    Rule causes in or out

    Use the result to shrink the possibility set and decide which test matters next.

  6. 06
    Decide

    Return a justified action

    Produce a disposition, operating limits, evidence, and the next named test if uncertainty remains.

Stop condition: enough evidence to take a safe, commercially useful action—not an impressive pile of telemetry.

The case follows the hardware

The investigation does not collapse at the handoff.

The raw workload and proprietary tools stay where they belong. The case carries the smallest reproducible phenomenon, what has been ruled out, and what still needs to be tested.

  1. 01

    Isolate

    Existing systems recover the job. The suspect node enters quarantine.

  2. 02

    Investigate

    Zenobia works on the isolated machine within approved bounds.

  3. 03

    Carry the case

    Evidence, exclusions, and the reproducer move with the hardware.

  4. 04

    Replay locally

    Vendors and suppliers use their own protected tools and data.

  5. 05

    Close the loop

    A signed finding returns, the action is checked, and detection improves.

Engineering & outcome targets

Design-partner targets; not current guarantees.

10K+bounded experiments per hour
1,000×greater observation coverage
90%+shorter investigation cycles
10×higher first-pass reproduction
50–70%fewer RMA and lab handoffs

Continue the investigation

Make failures scarce.

Recover useful capacity, reduce repeat incidents, and give every party evidence it can act on.

Talk to our teamSee how it works