Cohestra Systems Deterministic · On-premise Request a briefing

Deterministic industrial intelligence layer

Connects what your other systems see separately.

Cohestra is a deterministic intelligence layer for chemical plants, refineries, and complex industrial facilities. It doesn't replace your historian, DCS, alarms, or reliability tools — it sits above them and reads the relationships between them, so a developing plant condition is visible as one thing, not a dozen disconnected symptoms.

Schematic — cross-domain correlation concept, not a product screen
cross-domain correlation one developing condition PLANT DOMAINS RECOGNIZED AS …and more, scoped per site

The problem

The problem isn't missing data. It's disconnected data.

Your plant already produces everything needed to see trouble forming — process values, equipment behavior, electrical loads, cooling-water and steam performance, vibration, emissions, lab quality, alarms, and maintenance history. It just lives in separate systems, each showing one slice.

cooling waterheat exchangercolumn behaviorproduct qualitypump loadreliability risk

Today that chain arrives as separate alarms in separate tools, and the connection between them is left for a person to reconstruct — usually after the fact. Cohestra is built to recognize it as a single developing condition, while it's still forming.

Deterministic

Not a black box.

Cohestra is built on physics-based relationships, timing alignment, and cross-system coherence — not an opaque score that flags an anomaly without telling you why. Findings are designed to be traceable to the signals and relationships that produced them.

In high-consequence environments, where an engineer has to justify an action and process safety has to trust it, explainable and repeatable beats a confidence number no one can audit. Cohestra is designed to be questioned — and to answer.

Black-box anomaly score
Cohestra
"Something looks unusual"
Which signals, and how they relate
Confidence number
Traceable physical pathway
Retrains, drifts, varies
Deterministic and repeatable
Hard to audit
Built to be questioned

Failure vs. intent

It knows a failure from a decision.

A pump that tripped and a pump an operator shut down look almost identical in the data — and that ambiguity is where alarms get muted and real failures get missed. Cohestra tells them apart, using work orders, operating modes, and equipment behavior whose timestamps have to line up. A maintenance window doesn't hide a genuine failure; a planned shutdown doesn't wake someone at 2 a.m. It knows the difference between a pump that failed and a pump you turned off — and can show which it concluded, and why.

And it weighs whether an instrument can be trusted before it uses its reading — so a drifting or dead sensor is caught as a sensor problem, not read as a process event, and never quietly skews a conclusion.

Evidence · in validation

What it has already shown.

Validated against realistic plant signatures. These are validation behaviors, not customer results — the proof that the approach works before a single site is live.

Example finding — validation output from validation · not a customer case
INTEG.COMPOUND.CROSS_DOMAIN_INSTABILITY Criticalrisk 96 / 100

Cross-domain instability detected — likely flow origin, affecting 2 assets across 3 domains.

FLOWCW-PUMP-1Cooling-water supply flow dropped below minimum
THERMHX-200Heat-exchanger outlet temperature climbing
MECHCW-PUMP-1Pump vibration rising as it loses suction

Linked into one developing condition and traced to cooling-water flow as the likely origin — not surfaced as three separate alarms in three separate systems.

Bad instrument vs real event

It rejected a false process condition.

Identified a pressure transmitter that was dead from installation by comparing it to its redundant reference, kept the healthy twin trusted, and suppressed the false process event the dead reading would otherwise have triggered.

Cross-domain

It connected the cascade.

Linked a cooling-water flow drop, a rising heat-exchanger temperature, and increasing pump vibration into one developing cross-domain condition — not three separate alarms — and pointed to the likely origin.

Early warning

It identified drift inside the limits.

Flagged a signal drifting against its own learned-normal while the value was still inside its alarm limits — ahead of any threshold trip.

Corroboration

It carried a finding to confirmed.

Moved a finding from engine-detected, to corroborated by a DCS alarm, to confirmed by a maintenance work order — so operators see evidence, not just an alert.

Decision support

Not just what — what to do about it.

A detection you can't act on is just another alarm. Every finding Cohestra raises carries authored engineering guidance: the physical mechanism, the probable causes and how to tell them apart, the recommended actions, what happens if it's ignored, and how to verify it in the field. Written by engineers, tied to the mechanism — not a generic severity label.

Example guidance — from the fault library representative authored entry
FLOW.PUMP.SUCTION_CAVITATION pump · flow domain
MechanismAvailable NPSH falls below required; vapor bubbles form and collapse at the impeller — eroding metal, dropping head, with broadband vibration.
Probable causesLow suction pressure or high suction temperature · suction strainer or line restriction · low flow, off best-efficiency point.
Recommended actionsRestore NPSH margin (raise suction pressure / lower temperature) · check and clean the suction strainer · move the operating point toward BEP.
If ignoredImpeller erosion, seal and bearing damage, and progressive loss of pump performance.
Verify byBroadband vibration rising; discharge head and flow falling.

Integration

One read-only connection. Nothing in the field.

Cohestra reads your plant's history through a single read-only connection to your historian — which already carries your SCADA, DCS, and equipment data — plus scheduled record feeds for what the historian never sees: maintenance, inspection, lab, and logs. No control-system connections. No per-vendor integrations. Nothing installed in the field. It writes to nothing and never touches a control action.

One connection

A single read-only feed from your historian carries the process and equipment data Cohestra needs.

Record feeds

Scheduled maintenance, inspection, lab, and log records — for the data a historian never holds.

Writes nothing

Read-only by design. No control action, no field devices, nothing to rip out or replace.

Deployment

Built for industrial reality.

On-premise

Runs on your infrastructure. Air-gap compatible, no cloud requirement.

Site-configured

Configured around each plant's assets, tags, operating behavior, and available data sources — without replacing existing systems.

For your teams

Built for engineers, operators, reliability, and leadership to use and trust.

For select industrial operators

Request a private briefing.

Cohestra is engaging a small number of operators for private, site-specific evaluations and pilot deployments. The strongest first sites are complex facilities where fragmented systems, cross-domain interactions, and recurring root-cause uncertainty carry real operational and financial cost.

Request a private briefing

briefings@cohestrasystems.com