ADIPEC 2026 - Abu Dhabi

November 2-5, 2026 | Platform demonstrations and strategic networking

Proof in the field

The technologies behind our five solution domains, and where they have been proven worldwide. The field results below are third-party deployments, cited as evidence the approach works, not claims of our own contracts.

MX$23,491M

PEMEX fuel-theft losses (2025, +14.4%)

10,591

Illegal pipeline taps detected in 2025

60,000 km

Pipeline under ASEA oversight

Desde 2020

Operating and field-proven

Five proof dossiers

Each solution domain is backed by real third-party deployments. EEC is the AI, integration, and advisory layer that orchestrates proven technology.

STREAM 01

Fleet Fuel Integrity

Cashless, tamper-proof refuelling for private commercial fleets, the fastest, lowest-risk path to value.

Download full dossier (PDF)

15-25%

fuel-cost cut (first quarter)

2-3 mo

payback

500K+

vehicles proven (PetroApp)

Problem

Downstream fleet bleed, siphoning from parked trucks, receipt fraud, and fuel-card misuse.

Solution (technology stack)

RFID / Automatic Vehicle Identification inlet tags with nozzle readers; capacitive tank sensors (±1%, reporting every 30s); refuelling geofences and smart-station POS; CAN-bus edge-AI that reconciles true engine consumption against refuelled volume.

PROOF IN THE FIELD

IPTech: Telematics delivered a 15-25% fuel-cost cut in the first quarter.
PetroApp (Saudi Arabia): Eliminated cash fraud across 500,000 vehicles / 10,000 clients / 5,000+ stations in 4 countries (raised $50M).
Intangles: 2-10% fuel savings and 75% fewer breakdowns.
Gilbarco Veeder-Root: AVI deployed across 7,500,000+ vehicles.

Third-party deployments, attributed to each company as evidence the technology works. Not EEC's own projects.

Mexico application

Formal private B2B logistics, with minimal capex; reduces demand for illicit fuel by keeping unverified product out of corporate supply chains.

Revenue model

Hardware install/lease (sensors, CAN-bus dongles, RFID tags); per-vehicle monthly SaaS; fintech float fee on cashless fuel transactions.

STREAM 02

National Fuel Marking & Fiscal Recovery

Forensic molecular markers that turn every legal litre into a chemical tax stamp, restoring billions in lost public revenue.

Download full dossier (PDF)

78%

adulteration cut (Ghana)

up to 15×

ROI

~MX$156B

recoverable/yr

Problem

"Huachicol fiscal", fuel smuggled and mis-declared at customs as untaxed "lubricants/additives" to dodge IEPS. SAT estimates MX$200B/yr lost.

Solution (technology stack)

Inject proprietary, tamper-proof molecular markers into all legitimate fuel at refineries and legal ports; handheld field analysers (e.g. Authentix LSX/MSX) and mobile labs; quantify marker concentration in <5 min, court-admissible; present = taxes paid, absent = illicit.

PROOF IN THE FIELD

Ghana: Cut adulteration 78% (found 32% of stations diluting), recovers ~$9M/yr, ROI 5-15×.
Philippines: Marking fee of ₱0.069/L generated ₱761B in tax over 4 years.
Authentix: 3+ trillion litres marked.
SICPA: 60+ billion litres marked per year.

Third-party deployments, attributed to each company as evidence the technology works. Not EEC's own projects.

Mexico application

Not alien here, PEMEX piloted molecular tracers across 360 stations (2016); IMP designed the Aditec tracer used to verify franchised-station fuel. The move: scale that internal tool into a mandatory national customs-and-tax standard.

Revenue model

Build-operate/turnkey (markers + analysers + cloud tracking); recurring per-litre marking fee; near-zero upfront state capex (self-funding).

STREAM 03

Pipeline Integrity Monitoring

Turn the dark fibre already buried beside the pipeline into a 24/7 tap-detection nervous system.

Download full dossier (PDF)

1 toma / 50 min

Mexico today

100 km

per interrogator

<1%

of pipeline cost (10-yr TCO)

Problem

10,591 illegal perforations in 2025, a clandestine tap roughly every 50 minutes; epicentre Tula-Tlahuelilpan (Hidalgo, 2,785 taps, +13.3%).

Solution (technology stack)

DFOS/DAS, standard fibre-optic cable becomes a continuous acoustic/vibration sensor; ML pre-breach detection of digging/drilling before the pipe is pierced; negative-pressure-wave (NPW) tap localisation to within metres; auto-dispatch of drone/response team.

PROOF IN THE FIELD

Saudi Aramco: Validated and deployed DFOS on crude pipelines (IoT net of 40,000 sensors / 500 wells at Khurais).
Niger Delta: Surveillance cut theft to near-zero in monitored zones.
Bandweaver / Hifi / AP Sensing: ML-DAS covers up to 100 km per interrogator with near-zero false alarms.

Third-party deployments, attributed to each company as evidence the technology works. Not EEC's own projects.

Mexico application

PEMEX is heavily indebted (capex down), no nationwide rollout. Laser-focus the highest-bleed arteries (Tula-Tlahuelilpan, Hidalgo; Tierra Blanca-Omealca-Tres Valles, Veracruz), reusing dark fibre already in the ground (no new trenching).

Revenue model

Monitoring-as-a-service (integration fee for interrogator + edge-AI); recurring per-km monthly fee (shifts PEMEX from capex to opex); bundled 24/7 control-room alerting.

STREAM 04

Aerial & Satellite Surveillance

Orbital radar and autonomous-drone eyes over 60,000 km of pipeline, see the dig before the breach.

Download full dossier (PDF)

60,000 km

under ASEA

80%

inspection-efficiency gain

Pre-breach

SAR detects digging early

Problem

ASEA oversees 60,000 km of pipeline and 111 terminals; manual patrol of remote rights-of-way is hazardous and inefficient; 10,591 taps in 2025.

Solution (technology stack)

Satellite SAR (all-weather radar, millimetre ground-shift, spots excavation early); drone-in-the-box and computer vision (scheduled and alert-triggered patrols, flags vehicles/intruders/thermal); TDLAS aerial methane/hydrocarbon leak detection; GIS integration of geo-referenced alerts.

PROOF IN THE FIELD

Saudi Aramco: AI predictive maintenance across 15,000+ km, 30% of operations automated with drones/robotics, mapping 10× faster.
ImageVision: Drone + computer vision raises inspection efficiency up to 80%.
SkyWatch / Siemens Aerosophia: SAR detects ground disturbance days-to-weeks early + 24/7 autonomous drone-in-the-box.

Third-party deployments, attributed to each company as evidence the technology works. Not EEC's own projects.

Mexico application

Target highest-risk corridors (Tuxpan-Tula; heavily tapped Hidalgo and Guanajuato networks); dispatch response resources only on AI-confirmed intrusion.

Revenue model

Monitoring-as-a-service (per-asset / per-km subscription); the provider runs satellite tasking + drone ops + cloud AI; delivered as geo-referenced alerts into the client's GIS (asset-light for the client).

STREAM 05

AI Fuel Efficiency & Route Optimization

Cut the single largest fleet cost, legitimate fuel burn, with machine learning, from the route to the molecule.

Download full dossier (PDF)

15-20%

fuel-cost reduction

90%

faster rerouting (HERE)

R²>0.92

KAUST fuel-property AI

Problem

Fuel is the #1 operating cost for commercial fleets (69% of managers, Bridgestone); detours, traffic, idling, and aggressive driving burn money; sub-optimal blends cause knock/soot that degrade thermal efficiency.

Solution (technology stack)

ML route optimisation (historical + live traffic/weather/delivery-window data, reroutes on the fly); driver-behaviour edge-AI coaching (acceleration/braking/idling in real time); AI fuel design (KAUST deep-learning "Mixing Operator" predicts RON, MON, Yield Sooting Index to design high-octane low-soot blends).

PROOF IN THE FIELD

European trucking fleet: 15% fuel cut from coaching alone.
HERE Technologies: Up to 20% lower fleet-management cost + 90% faster rerouting.
Australian municipal case: Cut one truck's monthly fuel by 62%.
KAUST: AI predicts blend properties at R²>0.92, generated 86 viable RON-95 candidates without years of physical testing.

Third-party deployments, attributed to each company as evidence the technology works. Not EEC's own projects.

Mexico application

Mexican logistics firms (squeezed by security and theft costs) cut their largest baseline expense immediately; in parallel, PEMEX refineries (e.g. Dos Bocas) could license KAUST-style fuel-design AI to optimise Maya-crude blends.

Revenue model

Per-vehicle monthly SaaS (routing + coaching); savings-share option (~20% of verified fuel savings); enterprise licensing + joint R&D with refiners.

Grounded in a 151-source research corpus.

Industry Impact

Integrity & Security

Field-proven technology to protect fuel infrastructure against theft, illegal taps, and fraud.

Operational Efficiency

AI routing, coaching, and fuel design to cut fleets' largest baseline cost: legitimate consumption.

Fiscal Recovery

Molecular marking and volumetric control target recovering a substantial share of the estimated ~MX$156B/yr recoverable.

Demonstration, not contracts

Ready to see the evidence applied?

Let us discuss a low-risk pilot on your asset, terminal, or corridor. We design the scenario; figures are baselined against your own data.

Let's talk See the Mexico opportunity