Solutions · Midstream Energy

Predictive intelligence for pipeline operations.

Your SCADA system shows you what happened. Aevus shows you what's about to happen — compressor degradation, alarm floods building, radio links failing — without ever touching your field equipment.

Request a Pilot Read the IL-9000 Brief

The midstream operator's dilemma

You run 50+ remote compressor stations across hundreds of miles of pipeline. Your control room sees thousands of alarms per shift. Your operators are experienced — but the signal-to-noise ratio is working against them. The alarm that matters is buried in the 200 that don't.

$77,600

Average cost per unplanned compressor outage (industry benchmark)

74%

Alarm reduction achievable with root-cause clustering

11 days

Average lead time on compressor failures visible in telemetry trends

What Aevus does for midstream

Compressor failure prediction

Multi-variate anomaly detection across vibration, temperature, pressure, and flow. Aevus identifies degradation patterns 1-3 weeks before failure — while maintenance can still be scheduled, not emergency-dispatched.

Alarm flood collapse

When a single root cause generates hundreds of downstream alarms, Aevus derives the causal graph and presents one advisory instead of 1,200 individual alerts. Your operator sees the cause, not the noise.

Radio network health scoring

Continuous RSSI/SNR/retry-rate monitoring across every radio path. Predicts link degradation before it becomes a telemetry gap — because the worst time to lose comms is during a compressor event.

ISA-101 operator interface

High-performance grayscale HMI with color reserved for abnormal conditions. Designed for the operator at 2 a.m. on a 12-hour shift, not the VP who approved the purchase.

Multi-site fleet visibility

Geospatial fleet view with per-site health scoring across compressor stations, metering points, and valve sites. One dashboard, all assets, prioritized by operational risk.

Historian integration

Reads from your existing PI, Wonderware, Ignition, or InfluxDB historian. Aevus sits above your SCADA — it doesn't replace what already works.

The AI that cannot write to your pipeline

Every competitor's AI product could, in principle, send a command to your field equipment. They just promise not to. Aevus is different: the IL-9000 architectural boundary makes it structurally impossible for the AI to write to your control network — enforced by AWS at the cloud-account level, not by application policy.

What IL-9000 means for your pipeline:

The Aevus AI can read your telemetry, detect anomalies, and recommend actions. It cannot send a setpoint change, close a valve, or trip a compressor. That boundary is enforced above the Aevus application, by a control that Aevus itself cannot modify. Verified by reviewing a few hundred lines of declarative JSON.

Approach	Where safety lives	Failure mode
Application policy	Inside the AI's own code	Bug, regression, or compromise grants write capability
IAM role restriction	Editable AWS IAM policy	Admin or attacker edits policy or assumes different role
IL-9000 (Aevus)	AWS Organization SCP — above the Aevus account	Requires compromise of a separate org root to alter

Read the full IL-9000 technical brief

Predictive intelligence for pipeline operations.

The midstream operator's dilemma

What Aevus does for midstream

The AI that cannot write to your pipeline

Start a 90-day pilot

Related reading