About EcoMetricx
Built for decisions
you have to defend
EcoMetricx brings together AI, econometrics, forecasting, and senior scientific judgment to solve consequential problems with work that is rigorous, practical, and ready for real-world scrutiny.
Founded in 2017 by MIT-trained economists and data scientists. Led by Matt Harding, PhD (MIT) — economist, researcher, and the firm's founding partner.
Our Standard
The bar isn't confident.
It's correct.
Many analytics firms optimize for impressive outputs. We optimize for decisions that can hold up when a regulator asks how you arrived at the number, legal needs to understand the model, or leadership needs confidence behind a major investment.
Our work is explainable, reproducible, and grounded in methods shaped by decades of academic and applied research. We do not just deliver a result. We deliver the reasoning, tradeoffs, and implementation path behind it.
Correct
Validated against held-out data, not just training performance
Explainable
Every coefficient and decision rule can be traced back to your data
Defensible
Audit-ready documentation for regulatory, legal, and board review
Why EcoMetricx
What makes us different
Scientific Rigor
Every model we deliver is built to be explained, reviewed, and defended. We apply econometric and statistical methods that can stand up under regulatory scrutiny, legal challenge, and executive questioning.
Executive-Ready Delivery
We do more than surface insights. Our work ends in deployed models, decision-support tools, and operating workflows your team can use with confidence after the presentation is over.
Cross-Industry Judgment
Healthcare, retail, energy, utilities, oil and gas, and other high-stakes environments require different answers. We bring the judgment to match methods to context instead of forcing the same playbook everywhere.
How We Think
Built for real adoption
Too many analytics engagements stop at a promising prototype. The math may work, but the solution never gets operationalized, governed, or trusted by the people who need to use it.
We work differently. From day one, we design for deployment and decision use. That means building alongside your team, documenting assumptions and governance, and staying close to the work until it is operating in your environment and influencing real decisions.
Discover
We audit your data, systems, and decisions to find where rigorous modeling creates the most value.
Analyze
Our experts build a method stack that fits the problem, whether that means causal inference, machine learning, econometrics, forecasting, or a combination.
Deliver
Production deployment, documentation, and ongoing support so the work survives beyond a meeting or prototype.
Years in Business
PhD-Level Experts
Clients Served
Industries
The People Behind It
Meet the team
Our team combines academic depth, cross-industry fluency, and delivery experience for organizations making consequential decisions.