Read-only, non actuating, operator authority preserved

Systemic Infrastructure Intelligence

A read-only intelligence layer for critical physical infrastructure

We ingest existing telemetry, detect sustained structural deviation, and produce reviewable analytical records. Built for investor diligence and operator clarity without any control, actuation, or system modification.

Benchmark Scope
707
Engines, FD001 to FD004
Detection Coverage
96.9%
Admission before failure
Median Lead Time
183
Cycles to failure
Baseline Safety
0
Baseline-window admissions
Current Basis
Evidence first, then claims
Our current demonstration uses NASA C-MAPSS, a public benchmark for degradation trajectory analysis. It validates core multi-signal logic and lead-time estimation, and it is not a substitute for field validation in water infrastructure.
Dataset

NASA C-MAPSS

Run-to-failure simulations used to evaluate prognostics methods. Suitable for testing sustained drift detection and trajectory logic.

What it proves

Structural deviation detection

Baseline definition, multivariate distance computation, smoothing, admission logic, and lead time quantification.

What it does not prove

Field performance

Domain calibration for live water systems requires site telemetry and real operating constraints. That is the next step.

Platform
What Neraium provides
Neraium delivers systemic infrastructure intelligence for investors and operators seeking resilience, transparency, and accountability. The system is strictly read-only and produces evidence-grade analytical records without automation or actuation.
CAP-01

Read-only ingestion

Connect to existing telemetry streams. No new sensors required. No control links. No system modification.

CAP-02

Multi-signal analysis

Correlate pressure, flow, thermal, chemical, and structural signals to detect deterioration trajectories early.

CAP-03

Evidence discipline

Preserve reviewable records of inputs, analytical state, and outputs so decisions are defensible and auditable.

CAP-04

Operator authority

No commands. No automation. Operators retain full control while receiving earlier signal and clearer context.

CAP-05

Investor diligence signal

Identify emerging structural risk and maintenance exposure to inform capital planning, underwriting, and asset strategy.

CAP-06

Field validation path

Partner deployments validate detection logic on domain telemetry and produce investor-grade evidence of performance.

System
System boundary model
The system boundary is explicit. Neraium observes and records. Operational systems execute. Control authority remains with the operator. This separation is the core safety and accountability property.
Boundary definition
Clear separation of observation, analysis, and response
NERAIUM
Read-only intelligence
  • Ingest telemetry copies and logs
  • Analyze deviation trajectories
  • Record reviewable analytical outputs
  • No actuation capability
OPERATIONAL SYSTEMS
Existing plant and controls
  • SCADA, BAS, BMS, PLC networks
  • Existing sensors and telemetry sources
  • Maintenance workflows and SOPs
  • Operational responsibility remains intact
CONTROL AUTHORITY
Human decision and response
  • Operator review and response
  • Engineering approvals and escalation
  • Change management remains local
  • Neraium does not modify systems
Evidence
Evidence and claims
Claims are bounded to demonstrated evidence. We do not overstate. Investors and operators get clarity on what is proven today and what will be proven in the field.
Dataset
NASA C-MAPSS, public run-to-failure benchmark for degradation trajectories.
Supported
Multi-signal deviation detection, baseline logic, admission gating, and lead-time quantification on benchmark data.
Not supported
Field performance claims in water systems until validated on live site telemetry and operating constraints.
Investor note
Current results show direction and discipline. Partner pilots convert direction into domain evidence.
Validation
Prototype performance metrics
Demonstrated on NASA C-MAPSS degradation trajectories. These metrics represent benchmark results and do not constitute field validation in water infrastructure.
Dataset Scope

707 Engines

FD001 through FD004 degradation trajectories.

Detection Coverage

96.9 Percent

Deviation admitted prior to terminal failure.

Median Lead Time

183 Cycles

Between admission and failure point.

Baseline Integrity

Zero Admissions

No false admissions during baseline stability window.

Deployment
Planned deployment model
Deployment maintains strict boundaries and read-only integrity. It is designed to be compatible with existing infrastructure and conservative operational requirements.
PLAN-01

Integrate existing telemetry

Connect to BAS, SCADA, historians, or existing IoT feeds. No proprietary hardware required.

PLAN-02

Preserve autonomy

Observation and evidence generation only. Operators remain in control. No remote intervention.

PLAN-03

Validate on domain data

Partner sites provide live telemetry, allowing calibration and proof of lead time for real infrastructure conditions.

Positioning
Messaging clarity
Pre-seed trust is built with bounded claims, explicit system boundaries, and evidence discipline. This is the framing we hold.
Correct
Avoid
Role
Read-only intelligence for investors and operators
Autonomous control system
Evidence
Prototype validated on benchmark data
Proven leak detection in water systems today
Records
Reviewable analytical records for diligence and audit
Automated compliance reporting
Authority
Operator authority preserved
Automated intervention and remediation
Stage
Algorithm demonstration and partner pilots
Full production deployment
Contact
Get in touch
Investor questions, pilot inquiries, and partnership opportunities. Reach out directly or use the form and we will respond promptly.
Direct contact
Name
Craig Curtis
Role
Founder and CEO
Submit an inquiry