SCI-MIP — Sovereign Verification Standard for Water & Energy Systems
SCI-MIP 2025x — Active Protocol

Verification
for water
Not promises

The technology-agnostic methodology that measures what water and energy systems actually do — not what models predict they should.

6
Registered Copyrights
40yr
Field Practice
1.00
Baseline Reference
GW-SCI Groundwater Module — Active
Ağcabədi Pilot — Field Validation Phase II
Baseline = 1.00 Zero-estimation reference
Technology-Agnostic · Hardware Neutral
6 Copyrights Registered IP · Ali İhsan Olgun
Anti-Greenwashing Evidence Protocol
GW-SCI Groundwater Module — Active
Ağcabədi Pilot — Field Validation Phase II
Baseline = 1.00 Zero-estimation reference
Technology-Agnostic · Hardware Neutral
6 Copyrights Registered IP · Ali İhsan Olgun
Anti-Greenwashing Evidence Protocol
The Standard

What SCI-MIP is — and what it is not

Precision requires clarity. Before anything else, understand exactly what kind of instrument SCI-MIP is — and equally, what it was never designed to be.

SCI-MIP Is…
A Measurement ProtocolMulti-point, multi-parameter physical measurement governed by rigorous field procedures. Every claim is anchored to raw sensor data.
Technology-AgnosticCompatible with any hardware vendor, SCADA system, or sensor brand. The methodology validates the data — not the device that collects it.
Baseline = 1.00 Reference SystemA unified dimensionless baseline that makes performance comparable across geographies, system types, and time periods.
An Independent Verification StandardSovereign and institutional-grade — not operated by any hardware vendor, EPC contractor, or software company.
A Decision Framework — 4 Confidence LevelsFrom anomaly awareness (L1) to full regulatory compliance reporting (L4), every decision is structured and evidence-bound.
An Anti-Greenwashing ArchitectureEvery performance claim is traceable, reproducible, and externally auditable. No estimation. No interpolation.
SCI-MIP Is Not…
Not a ProductSCI-MIP cannot be purchased off the shelf, downloaded, or licensed as a commercial product. It is an intellectual methodology.
Not a Software PlatformThe computational tools used to process SCI-MIP data are provided by AISE-TECH as a separate professional service — they are not the standard itself.
Not a Sensor or MeterSCI-MIP does not manufacture, sell, or recommend any specific measurement hardware. It defines how hardware must be deployed and validated.
Not a Prediction or Modelling ToolSCI-MIP never estimates, extrapolates, or simulates. It measures what systems actually do — not what algorithms project.
Not a Vendor-Aligned AuditVerification is never conducted by the entity that built or operates the system under review. Independence is structural.
Not a Substitute for Field MeasurementRemote sensing, desk reviews, and vendor-supplied data cannot replace SCI-MIP field protocols. Physical measurement is non-negotiable.
Core Architecture

Three foundational pillars

SCI-MIP's verification logic rests on three interdependent pillars. Remove any single pillar, and what remains is an estimate — not a verified fact.

01
Pillar 01

Measurement

Multi-point, multi-parameter physical measurement executed under SCI-MIP field protocols. No estimation. No interpolation. No vendor datasheets.

  • Standardised sensor placement & calibration procedures
  • 60+ hydraulic and energy parameters tracked continuously
  • Cross-validation between independent measurement streams
  • Data gaps are flagged and reported — never filled by assumption
  • Baseline = 1.00 anchor for all comparative analysis
02
Pillar 02

Decision — 4 Levels

Four calibrated confidence levels that translate raw field data into structured, defensible operational intelligence for institutions at every tier.

  • L1 — Awareness: anomaly detection & threshold alerts
  • L2 — Diagnosis: root-cause attribution with evidence chains
  • L3 — Action: prioritised intervention with risk quantification
  • L4 — Compliance: regulatory-grade verification reporting
03
Pillar 03

Verification

Independent, reproducible confirmation that measurement data, analysis conclusions, and reported outcomes are internally consistent and institutionally defensible.

  • Administered by AISE-TECH as methodology custodian
  • Chain-of-custody data management: sensor to report
  • Audit-ready documentation for financiers & regulators
  • Anti-greenwashing certification — claims traceable to raw data
  • Reproducible by any qualified third-party auditor
Domain Applications

Applied verification modules

SCI-MIP's methodology is instantiated into domain-specific modules — each tuned to the physical and regulatory characteristics of a distinct water–energy sub-system.

GW-SCI

Groundwater

Groundwater Systemic Control & Integrated Measurement

Aquifer-level verification covering recharge rates, abstraction volumes, water-table dynamics, and contamination vectors. Active in the Ağcabədi pilot, Azerbaijan.

Kura-SCI

Transboundary Rivers

Kura Basin Systemic Control & Integrated Measurement

Cross-border river basin monitoring with treaty-grade data chains. Designed for multi-sovereign accountability where shared water resources are contested.

WW-SCI

Wastewater

Wastewater Systemic Control & Integrated Measurement

End-to-end wastewater quality and flow verification — from collection through treatment to discharge or reuse. Closes the evidence gap between permit conditions and actual effluent performance.

Administered by AISE-TECH

The 5-Year
Risk ShieldZero surprise. Zero estimation.

AISE-TECH's operational guarantee programme couples SCI-MIP verification with long-horizon risk management. For projects where estimation is unacceptable and failure is not an option, the 5-Year Risk Shield replaces contingency budgets with verified performance commitments.

100% predictable operational budget. Zero tolerance for data gaps. Fully auditable at any point in the contract lifecycle.

Hardware applies · Software analyses · Methodology verifies.
That separation is the guarantee.
AISE-TECH 5yr RISK SHIELD
5yr
Operational Horizon
0%
Estimated Data
100%
Verified Claims
L4
Decision Level