For U.S. Industrial Facilities

AI-Assisted Industrial
Energy Optimization
for U.S. Facilities

SEMS Technologies LLC is a Memphis, Tennessee-based technology company developing an AI-assisted, advisory-mode energy decision-support framework for industrial facilities. SEMS is designed to analyze authorized facility energy data, forecast demand, identify energy-efficiency opportunities, and generate optimization recommendations for review by facility operators.

Human-in-the-loop by design. SEMS does not autonomously control industrial equipment.

Request an Offline Assessment → See the evaluation pathway
Development status: pre-deployment Historical-data and digital-twin validation completed Seeking U.S. industrial evaluation partners
National context

Why this matters in the United States

Industrial energy efficiency is a national-scale challenge. According to the U.S. Energy Information Administration, the industrial sector accounted for approximately 33% of total U.S. energy consumption in 2025.

SEMS Technologies is developing data-driven, human-in-the-loop energy decision support intended to help energy-intensive U.S. facilities identify efficiency opportunities while preserving operator control and existing operational safeguards.

Validation

Technical validation to date.

SEMS is pre-deployment. Its methodology has been evaluated through offline digital-twin and historical-data replay — not through live commercial operation. The results below are modeled outcomes and are presented as such.

Process

U.S. evaluation pathway

A staged pathway that begins with historical data only and advances solely by facility agreement. Operators remain responsible for operational decisions at every stage.

01
Offline assessment
SEMS begins with an offline assessment using facility-authorized historical energy and operational data. No equipment control or physical modification is required.
Historical data only
→
02
Technical evaluation
Where data readiness and technical fit are established, SEMS can evaluate forecasting, optimization, and operator-defined constraints through a digital-twin or offline-replay environment.
Digital-twin / offline replay
→
03
Future advisory-mode pilot
Subject to facility agreement, data readiness, safety and cybersecurity requirements, and a defined technical scope, a future pilot may evaluate SEMS recommendations in an advisory environment.
By facility agreement
Architecture

The SEMS platform

SEMS (Smart Energy Management System) is being developed as an advisory-mode decision-support platform. The capabilities below reflect the system architecture described in U.S. Provisional Patent Application No. 63/949,198 and evaluated in offline digital-twin testing. Advisory mode only. Human-in-the-loop control.

📈
Energy-demand forecasting
Designed to forecast facility load patterns from authorized historical data and support operator-reviewed planning.
⚙️
Reinforcement-learning recommendations
Designed to generate operator-reviewable optimization recommendations evaluated against facility constraints in offline or digital-twin environments.
🔗
Facility-data integration design
Designed to support integration with existing facility data and control environments, subject to facility-specific compatibility, safety, cybersecurity, and operational review.
🧬
Digital-twin evaluation
Designed to evaluate candidate recommendations in simulation before presenting them to a facility operator.
👤
Human-in-the-loop safety
In the current advisory-mode pathway, SEMS does not control facility equipment. Operators review each recommendation and remain responsible for operational decisions.
📊
ROI reporting PLANNED
Planned capability: dashboards reporting modeled energy savings, cost reduction, and CO₂ impact for operator review.
Target facilities

Who SEMS is designed for

SEMS is designed for U.S. industrial operations where energy is a significant operating cost and where facility data is available for offline analysis.

Oil & Gas
Refineries
Petrochemical Plants
Manufacturing
Industrial Processing
Compressor Stations

Utilities may be prospective demand-response stakeholders, subject to separate technical validation and stakeholder agreement.

Founder
S
Shaker Alamir
Founder & Managing Member · SEMS Technologies LLC

Shaker Alamir is an energy engineer whose work focuses on industrial energy management, petroleum operations, applied machine learning, and AI-assisted energy optimization.

He holds a bachelor's degree in Oil & Gas Engineering and a 2026 Diploma of Master in Energy Management from Ivano-Frankivsk National Technical University of Oil and Gas. His technical work includes SPE-227886-MS, historical-data evaluation using operational data from three industrial facilities, SSRN Working Paper No. 5576572, and U.S. Provisional Patent Application No. 63/949,198.

SPE-227886-MS U.S. Provisional Application No. 63/949,198 SSRN Working Paper No. 5576572 Independent expert support
View full research & development record →
Progress

U.S. development

April 18, 2026 — SEMS Technologies LLC formed
SEMS Technologies LLC was formed as a Tennessee limited liability company, based in Memphis, Tennessee.
July 13, 2026 — Epicenter Memphis expression of interest
Epicenter Memphis provided a non-binding expression of interest in continued discussions regarding SEMS's U.S. development and in connecting SEMS Technologies LLC with relevant programming, mentorship, entrepreneurship resources, and network contacts that may support company growth and pilot-development efforts. The Epicenter expression of interest is not a contract, investment, funding commitment, pilot agreement, or program admission.
Current stage
SEMS is seeking discussions with U.S. industrial facilities interested in an initial offline technical evaluation using authorized historical facility data and, where appropriate, a future advisory-mode pilot.
Common questions

What facility teams ask first

What stage is SEMS at?
SEMS is pre-deployment. The methodology has been evaluated through offline digital-twin and historical-data replay. It has not been deployed in a live U.S. commercial facility. We are currently seeking U.S. industrial facilities interested in an initial offline evaluation.
Do I have to install anything or give you SCADA access?
No. A Phase 1 offline assessment uses facility-authorized historical energy and operational data only. No software installation, no sensors, and no live control-system access are required at that stage.
What data is involved, and is it confidential?
Historical utility and metering data plus basic facility information — type, size, operating hours. All submissions are treated as confidential and used only for the technical evaluation discussed.
Does SEMS control my equipment?
No. SEMS is advisory-mode by design. It generates recommendations for review. Operators remain responsible for all operational decisions, and existing safety and control safeguards stay in place.
What happens after I submit the form?
We'll respond to discuss technical fit, data availability, and whether an offline assessment makes sense for your facility. There is no obligation on either side.
Evaluation partners

Interested in an offline technical evaluation?

SEMS Technologies is seeking U.S. industrial facilities willing to explore an initial offline assessment using authorized historical facility data. No equipment access, no installation, no capital commitment at this stage.

Start a conversation →
U.S. industrial facilities · Offline assessment · No obligation