At the intersection of physical assets and digital intelligence.
Global electricity demand grew 4.3% in 2024 and is projected near 4% annually through 2027 (IEA). In a single year, NERC's 10-year US peak-demand forecast jumped 24%, driven largely by data centers. And 80–85% of US power production still depends on steam condensers.Meanwhile the fleet is aging and the specialists who could read condenser signatures by hand are retiring. The data to prevent condenser failures already exists in every plant historian. Efficiency Signal exists to act on it.
Team

Andrew “Drew” Jiranek, JD
CO-FOUNDER & CEOCorporate attorney for 30+ years; general counsel to AES for 25, the relationship at the heart of the joint venture. JD, William & Mary; AB Economics, Princeton.
Robert “Bob” Mechem
CHAIRMAN · MANAGING MEMBER, AES38+ years in condenser and turbine services; 3,500+ inspections across 47 states and 9 countries. Supervised 35+ field crews in leak detection and NDT.
Dr. Babak Goshayeshi
CTOPresident of DiPhyx; Associate Director of Data Science at Merck; 15+ years in scientific computing and AI/ML. Leads CondenserSentinel™ model development. PhD ChemE, University of Utah.
Jake Kramb
COOFormer McKinsey & Company consultant and US Coast Guard intelligence officer. MBA, Chicago Booth; Civil Engineering, US Coast Guard Academy.TEAMS HAVE SERVED: CONSTELLATION · SOUTHERN COMPANY · DUKE · NEXTERA · MERCK · AVEVA
Structure
Efficiency Signal is a Delaware C-corporation structured as a corporate joint venture, having deep field expertise and modern AI under one roof.
American Efficiency Services (AES).Services and domain partner, 38 years of condenser and turbine field service and diagnostics, Cumberland, MD.
Bionetics.Instrumentation partner, remote sensing, OT, and the engineering validation behind the featured case study.
AVEVA.Infrastructure layer, plant information system; a Schneider Electric company.
DiPhyx.Model development and technical operations for the CondenserSentinel™ analytics stack.
AWS.Cloud infrastructure: ingestion, time-series storage, and ML.
NVIDIA.State-of-the-art AI computing infrastructure and software frameworks.
EPRI'S OPEN POWER AI CONSORTIUM NAMED USING DATA ANALYTICS TO INFORM CONDENSER MAINTENANCE A TOP-4 AI USE CASE
Partnerships
$16B TAM · $6B SAM · $360M US SOM · ~$440M/YR US RECURRING, MARKET ESTIMATES. DETAIL UNDER NDA.
partners@e-signal.ai →