Trusted Decision Systems
Trusted for high-stakes decisions.
EcoMetricx helps innovation, data, and strategy leaders solve consequential problems with expert-led AI, econometrics, forecasting, and custom analytics systems built for real decisions.
AI Systems / Machine Learning / Econometrics / Forecasting / Decision Science / Data Engineering
Trusted by leading organizations
Clients Served
Years Experience
PhD Experts
Industries
Why teams trust us
Expert judgment for decisions you have to defend
We combine senior scientific attention, practical delivery discipline, and bespoke problem-solving so clients can move from ambiguity to action with confidence.
Leadership
Meet the people leading EcoMetricx engagements
Matthew Harding
CEO and Chief Data Scientist
Dr. Matthew Harding is an Econometrician and Data Scientist who develops techniques at the intersection of machine learning and econometrics to answer Big Data questions related to individual consumption and investment decisions in areas such as energy, water, health and consumer finance. He has extensive experience in designing and evaluating large-scale field experiments in collaboration with industry leaders to measure the individual and social consequences of individual or corporate choices and the extent to which Big Data can be used to improve choices and lead to more accurate and targeted programs and products. Dr. Harding has a wealth of applied research experience as the Founding Director of the Duke - UNC USDA Center for Behavioral Economics and Healthy Food Choice Research and the Duke Energy Data Analytics Lab. He has also worked as an expert consultant for the Department of Justice, World Bank, Apple Inc., Franklin Energy and the US Commodity Futures Trading Commission. He is also currently a Full Professor of Economics and Statistics at the University of California, Irvine. Dr. Harding held previous faculty positions at Duke University and Stanford University in the Department of Economics. He received his Ph.D. in Economics from the Massachusetts Institute of Technology, his M.Phil. in Economics from the University of Oxford, and his B.A. in Economics and Philosophy from the University College London.
Catalin Tudor
Data Scientist, AI Team Lead
Catalin Tudor is a data scientist specializing in artificial intelligence. He completed his Master's in Artificial Intelligence at Loughborough University (UK) and received his Bachelor's in Computer Science and Artificial Intelligence from The University of Birmingham (UK). He is an expert in Python and Java. He has extensive experience in machine learning, and also conducted research in the biomedical and public health fields.
Trusted Under Scrutiny
Our work is built for decisions that may face regulatory review, executive questioning, operational pressure, or investor scrutiny.
Expert-Led Solutions
You get senior scientific judgment, bespoke problem-solving, and a team that understands when AI, econometrics, forecasting, or plain reasoning should lead.
Production-Ready Delivery
We do not stop at insight. We ship systems, models, and workflows that your team can actually run, defend, and build on.
Where we work
Cross-industry by design
We work across sectors, but we are especially valuable when the problem is complex, the stakes are real, and the answer has to hold up after the presentation ends.
Healthcare, Longevity & MedSpas
Pricing, growth, retention, personalization, and operating decisions supported by rigorous modeling instead of instinct alone.
Retail
Demand, customer behavior, merchandising, and location strategy work grounded in data that has to translate into action quickly.
Energy & Utilities
Forecasting, program evaluation, regulatory analytics, and customer engagement work that must hold up under external scrutiny.
Oil & Gas
Commercial, forecasting, and decision-support systems that help leadership teams navigate uncertainty without losing rigor.
Capabilities
Balanced capabilities for consequential decisions
We balance technical depth with business judgment, combining methods and delivery so the solution fits the decision, the operating reality, and the level of scrutiny it must withstand.
Causal Inference
Estimate what actually changed, why it changed, and how confident you should be before a decision, filing, or investment leaves the room.
Machine Learning
Design and deploy custom ML systems that fit real operating environments, with the documentation, governance, and support teams need to trust them.
Econometrics
Build models that can be explained under pressure, defended in high-stakes settings, and used by decision-makers who need more than a black box.
Forecasting
Improve planning, staffing, pricing, and demand decisions with forecasting systems tuned for the realities of your market, not generic benchmarks.
AI Strategy
Translate emerging AI capabilities into decisions, workflows, and governance structures that make sense for your organization and your risk profile.
Data Engineering
Create the data foundations, pipelines, and delivery systems that make sophisticated analytics reliable in production instead of fragile in a notebook.
Selected work
Results that hold up after the meeting
Electric Utilities
Large US Electric Utility
A large US electric utility needed to replace its legacy demand forecasting system with a modern, causal ML approach that could handle AMI data at scale, accurately quantify demand response program impacts, and produce audit-grade confidence intervals for regulatory filings.
34%
MAPE Reduction
Government / Regulatory
State Energy Office
A state energy office required a rigorous, defensible measurement and verification methodology for its portfolio of residential and commercial energy efficiency programs. The previous vendor's methodology had been challenged by the independent evaluator, creating regulatory risk.
±5%
Savings Estimate Accuracy
Electric Cooperatives
Regional Electric Cooperative
A regional electric cooperative with 280,000 members wanted to modernize its customer engagement approach — reducing call center volume while increasing member satisfaction and awareness of demand response programs. Existing outreach was manual, batch-based, and showed declining response rates.
22%
Call Volume Reduction
Bring us the decision that matters
If the stakes are high, the problem is ambiguous, or the answer needs to be trusted by people beyond your team, EcoMetricx can help you frame it, analyze it, and deliver a solution that stands up.