WH-720
Wellhead 720
89/ 100
radio78
telemetry92
sensor95
network98
Predictive Operational Intelligence · Patent Pending
The intelligence layer above SCADA.
Predict. Prevent. Perform.
Aevus is predictive operational intelligence for critical infrastructure — telemetry in, foresight out. We sit beside the SCADA you trust, not inside it. And our AI is architecturally incapable of writing to your field equipment: the IL-9000 boundary is enforced at the cloud account, not by policy a person can override.
L6 · Aevus IntelligenceFLEET HEALTH 94/100
RSSI -78 dBm
XFMR OK
FLOW 2,847 mcf/d
P(f) 14d 0.31
The problem
Industrial operators don't need a prettier SCADA. They need to know what's failing before it fails — and they need that signal pulled out of the noise of fragmented radios, PLCs, historians, and alarm queues no single tool ties together. Every existing platform competes to be a better SCADA. None of them sit above SCADA.
Why now. Legacy SCADA is being wired to cloud analytics, AI maintenance systems, and remote operations at the exact moment operator headcounts are shrinking and infrastructure is aging. The industry's answer so far has been more dashboards, more alarms, more policy — more of the same noise. Operators are drowning in telemetry and starved of intelligence. Aevus is the layer that turns the noise into a decision: which radio is failing in two weeks, which compressor is degrading, which alarm storm is real and which is a sensor drift. And the AI is architecturally incapable of writing back to your field equipment — IL-9000 enforces that at the cloud account boundary, not by policy a person can override.
The canonical industrial reference stack
Where Aevus fits — Layer 6, above SCADA, never inside it.
The Purdue Enterprise Reference Architecture (PERA) is how every industrial engineer learns the SCADA stack. Aevus adds Layer 6 — the intelligence layer that reads from every layer below and writes to none.
L6
Aevus Intelligence
Predictive operational layer
L5
Enterprise
ERP · BI · Planning
L4
Operations
MES · Scheduling · Logistics
L3
SCADA / HMI
Supervisory control · Historian
L2
Communications
Radio · Cellular · Fiber
L1
PLCs / RTUs
Field controllers
L0
Field Devices
Sensors · Actuators · Process
Old SCADA vs Aevus Operational Intelligence
Same failure. Two operator experiences.
A single failed pressure transmitter on a refinery's crude distillation unit. Left: what the operator sees today. Right: what the operator sees with an intelligence layer above SCADA.
Traditional SCADA
1,217 alarms in 90 minutes
Each one valid. Each one acknowledged. The signal lost.
04:32PT-4203 LO LO LO ALARM
04:32PT-4203 LO LO ALARM
04:32PT-4203 RATE OF CHANGE
04:32FIC-4205 PV DEV from SP
04:33LIC-4209 SETPOINT EXCEEDED
04:33TIC-4112 HI ALARM
04:33TIC-4112 RATE OF CHANGE
04:33PT-4203 BAD QUALITY
04:33... 1,209 more alarms ...
EEMUA 191 ceiling: 6/hr · Operator load:
811/hr135× over standard
Aevus Operational Intelligence
One advisory. Root cause identified.
87 derived alarms collapsed into a single recommendation.
SEVERITY P1PT-4203 (Crude Distillation Overhead)
Instrument failure pattern detected. 87 derived alarms across CDU originate from this single transmitter.
Recommended action: Isolate PT-4203 and suppress derived alarms via prepared bypass group.
Pattern matchHigh-frequency oscillation (1.2 Hz) — classic wire-bond failure mode
Confidence94% — based on 1,217 similar historical events
Downstream87 alarms suppressible · CDU control unaffected
Action routeOperator approval required · IL-9000 boundary enforced
Operator load:
1/eventgenuine alarm during flood is preserved
IL-9000 · Patent-Pending Safety Architecture
The AI cannot push a command. Not by setting — by structure.
IL-9000 is a service-control policy enforced at the AWS organization boundary. Aevus ingests telemetry, runs inference, and renders dashboards. It has no path — and no way to grant itself a path — to publish a write to your control network.
FIELD EQUIPMENT
AEVUS CLOUD
OPERATOR
RTU
SCADA · 38
PLC
MODBUS · 122
Sensor
MQTT · 1.4k
Aevus Cloud
IL-9000 · READ-ONLY EGRESS
Dashboard
AI Engine
inference · advisory only
ALLOWED · READ-ONLY EGRESS
DENIED · NO INBOUND CONTROL
AWS ORGANIZATION BOUNDARY
- Architectural, not procedural. The denial lives above the application layer. Our own code cannot reach it to disable it.
- Survives compromise. A breached Aevus account still cannot issue a control write. The boundary is the safety, not the software.
- Auditable. The policy is a few lines of declarative JSON. Reviewable by anyone with an hour and an AWS background.
- Composable with human-in-the-loop. When automated action is wanted, it routes through a separate, operator-controlled path — never the AI.
Worked example. A compressor station radio quality drops 37% over nine days. Aevus correlates the drift with rising bearing temperature and a falling vibration signature, surfaces an explainable two-week failure window to the operator, recommends a maintenance dispatch, and links to the relevant ISA-101 procedure. What Aevus cannot do is send a shutdown command to the PLC — that path does not exist in the architecture. The operator decides. The boundary holds. That's the difference between an AI co-pilot and an AI that can crash the plant.
Infrastructure Health Intelligence
A composite score for every site. Watched continuously. Reported honestly.
Aevus computes a real-time health score for every asset in your fleet by fusing radio signal quality, telemetry stability, sensor drift, and network reliability. Below: a modeled view of 8 sites at a midstream operator. Trends are 14-day windows.
COMP-04A
Compressor Stn 4A
77/ 100
radio71
telemetry88
sensor82
network96
PUMP-002
Pump Station 002
99/ 100
radio94
telemetry97
sensor95
network99
SCP-301
SCADAPack 301
93/ 100
radio90
telemetry93
sensor91
network96
WH-002
Wellhead 002
99/ 100
radio97
telemetry98
sensor99
network98
SUB-114
Substation 114
86/ 100
radio85
telemetry86
sensor92
network94
PIPE-A7
Pipeline A7 valves
95/ 100
radio93
telemetry96
sensor94
network96
TANK-09
Tank Battery 09
91/ 100
radio92
telemetry91
sensor95
network95
RADIO
Signal & path quality
RSSI, SNR, retry counts, FEC statistics. The drift no one watches until it's a 2 AM call.
TELEMETRY
Data quality & latency
Stuck values, stale data, communication front-end backlog. Quality flags surfaced where operators look.
SENSOR
Drift & calibration
Compares each instrument against fleet baselines, expected operating ranges, and time-since-last-calibration.
NETWORK
Backbone health
Switch port up/down, redundant path symmetry, latency creep — both primary and standby paths instrumented.
Predictive Operational Intelligence — in motion
A radio fails in 14 days. Aevus sees it on day 5.
A modeled scenario, walked through second-by-second. RSSI drifts. Packet retries climb. Chassis temperature creeps up. The AI's confidence escalates. The pattern is real — we catch it before the 2 AM call.
DAY 1
-65dBm
RSSI baseline · all green
AI CONFIDENCE 0/100
DAY 5
-78dBm
Drift detected · advisory issued
AI CONFIDENCE 62/100
DAY 14
-94dBm
Hard failure · 2 AM trip
AI CONFIDENCE 94/100
Modeled outcomes
Numbers, not promises.
Operational modeling against real-world gas-measurement and field-telemetry scenarios. Every figure below is modeled — Aevus is pre-revenue. The math is published below; the assumptions are auditable.
Metric
Without Aevus
With Aevus
Improvement
Mean time to repair
Operator detect-to-resolve cycle
4.2 h
reactive · post-trip diagnosis
48 min
predictive · pre-trip dispatch
5.3× faster
MODELED
Unplanned outages
Per 50-asset deployment per year
17 / yr
baseline operations
3 / yr
with predictive intelligence
83% fewer
MODELED
Operating loss avoided
Lost production + emergency dispatch + regulatory exposure
$1.32M
modeled annual loss
$0.23M
residual after predictive layer
$1.10M / yr
MODELED
Payback period
Against $325K Year-1 platform investment
—
no comparable benchmark
4.2 months
breakeven from go-live
< 1 quarter
MODELED
ROI calculator
Calculate your savings.
Adjust the sliders to match your operation. All figures are modeled — Aevus is pre-revenue. The assumptions are published and auditable.
Monitored sites50
5500
Alarms per day120
102,000
Unplanned outages / year12
150
Modeled annual impact
Estimated annual savings
$1.35M
Outage avoidance + alarm-noise reduction
Payback period
2.9 months
Against $325K Year-1 platform investment
Alarm-noise reduction
74%
ISA-18.2 rationalization + predictive suppression
All figures are modeled projections based on published assumptions. Actual results will vary by deployment. See the IL-9000 Technical Brief for full methodology.
What operators see
Built for the control room, not the demo reel.
A peek at the Aevus operator console. Dense, scannable, honest. Stale data is labeled stale. Predictions are labeled predictions. Confidence is shown, not implied.
ASSET · HEALTH1
WH-101↑91
COMP-15A→87
SCP-301↓74
PTM-401→95
WH-720↓67
COMP-602↓62
PREDICTED FAILURE · NEXT2
30 MIN
0.17
±0.04
60 MIN
0.31
±0.06
120 MIN
0.62
±0.09
RECOMMENDATION4
SEVERITY 2 · ACT WITHIN 24H
Schedule planned maintenance for WH-720 within the next maintenance window. RSSI drift + chassis-temp rise consistent with bearing-distress signature.
Why this recommendation? →AI CONFIDENCE3
1
Asset health column
Every asset in the fleet, ranked by current composite health score. Green dot = ok, amber = warning, red = predicted failure window. Click for detail.
2
Predictive failure forecast
Probability of failure in the next 30, 60, and 120 minutes. Not "is it broken?" — "is it about to break?". Drawn from the same telemetry the SCADA already collects.
3
AI confidence interval
Never a single number. Always a range with context. Operators can see when the model is sure and when it isn't.
4
Explainable recommendation
When Aevus suggests an action, the "why" is one click away. Operators don't take recommendations they don't understand.
Designed to ISA-101 high-performance HMI standards · Explore the live console →
Where it fits
Speaks your stack. Respects your standards.
Aevus sits beside the existing SCADA, not inside it. Telemetry in, intelligence out — no replacement of the systems your operators already trust.
SCADAPack
Native RTU integration
COMPATIBLE
Modbus TCP/RTU
Standard field protocol
COMPATIBLE
DNP3
Utility SCADA backbone
COMPATIBLE
OPC UA
Industrial interop
COMPATIBLE
MQTT / Sparkplug
IIoT publish-subscribe
COMPATIBLE
IEC 61850
Substation automation
COMPATIBLE
NERC CIP
Bulk electric compliance
COMPATIBLE
PHMSA
Pipeline safety reporting
COMPATIBLE
IEC 62443
OT cybersecurity zones
COMPATIBLE
EEMUA 191
Alarm management standard
COMPATIBLE
AGA-3
Gas flow measurement
COMPATIBLE
AWS GovCloud
Federal-eligible hosting
COMPATIBLE
Download the IL-9000 Technical Brief
20-page safety architecture deep-dive: enforcement model, threat analysis, compliance mapping, and deployment assumptions — all auditable.
Learning paths by role
Pick the perspective you operate from.
The Aevus knowledge hub is the same 23 articles for everyone, but the order you read them in changes by role. Choose yours — we'll curate.
FOR THE
Operator
Control-room shift work
You read alarms at 2 AM. You need quieter screens and predictive context — not more dashboards.
SCADA fundamentals · Alarm management · ISA-101 HMI · Predictive failure
Start the Operator Path →
FOR THE
Engineer
Controls · Reliability · Integration
You own the stack. PLC programs, alarm rationalization, integration — and the post-mortem after every trip.
PLC vs RTU · Modbus · OPC UA · Network redundancy · Edge computing
Explore the Engineering Stack →
FOR THE
Executive
Operations · Plant management
You see the cost of unplanned outages, the PHMSA filings, the customer calls. You need fleet-wide visibility.
Modeled outcomes · IL-9000 brief · Federal capability · Pipeline case study
See the Business Case →
FOR THE
Cybersecurity
OT · CISO · Federal
You evaluate AI-in-OT vendors. You need to know how Aevus is architecturally incapable of writing back.
Zero Trust for OT · IL-9000 Technical Brief · SCADA Cybersecurity · Industrial VPN
Review the Security Architecture →
FOR THE
Field Technician
On-site · Maintenance
You drive to the sites. You diagnose at the cabinet. You need predictive dispatch — not 2 AM emergencies.
What is an RTU · Radio telemetry · Telemetry basics · Radio degradation case
Open the Field Guide →
Industry solutions
Built for the operators who can't afford guesswork.
Aevus is being deployed in real-world infrastructure — starting with the verticals where predictive intelligence saves the most.
Midstream Pipelines
Compressor failure prediction, alarm flood collapse, and radio network health scoring — for operators running 50+ remote stations across hundreds of miles.
See the midstream solutionWater & Utilities
Pump station monitoring, distribution network health, and regulatory compliance — coming 2026.
Coming soonGetting started
Three steps. No risk. No field changes.
Aevus sits beside your SCADA — connecting takes days, not months.
01
Connect
Point Aevus at your existing historian or SCADA telemetry feed. No field equipment changes. No downtime. We read — we never write.
02
Detect
Within the first week, Aevus identifies degradation patterns across your fleet. Radio drift, compressor wear, alarm correlations — surfaced as actionable advisories.
03
Decide
Operators see clear, ISA-101-compliant recommendations with full explainability. They decide. The boundary holds. You avoid the 2 AM trip.
Credentials
An Intrepid Logic product.
Aevus is built by Intrepid Logic LLC — a Service-Disabled Veteran-Owned Small Business headquartered in Katy, Texas. Founded by Lynn Spencer (USAF veteran, 20+ years in critical infrastructure technology) and David Spencer (CIO, systems architecture).
Veteran-Founded
Built by a service-disabled veteran with 20+ years in critical infrastructure technology.
SDVOSB Certified
Service-Disabled Veteran-Owned Small Business · SAM.gov active.
IP Portfolio
7 patent-pending inventions spanning architectural safety, predictive analytics, and field-device intelligence.
Patent Pending
USPTO provisional filed · IL-9000 architectural safety interlock.
UXDA Nominated
UX Design Award — results July 2026.
WCAG 2.1 AA
Accessibility-conformant operator console.
Built on industry standards
AWS
Cloud Infrastructure
ISA-101
HMI Standard Aligned
IEC 62443
Cybersecurity Compliance
NIST CSF
Framework Aligned
SDVOSB
Veteran-Owned
Patent Pending
7 Inventions Filed
NVIDIA Inception
Startup Partner
AWS Founders
Cloud Partner
Pilot inquiry · Limited availability
Bring Aevus to a real site.
We're onboarding a limited number of pilot operators in oil & gas, water, and critical-infrastructure telemetry for Q3 2026. If that's you, tell us what you operate.