About Us
Our Mission
Impacta exists because impact investing deserves the same analytical rigor as traditional finance.
We are a research organization investigating the synergies between measurable impact and market mechanisms. Our work aims to influence how future financial markets evaluate and price positive outcomes.
The Problem We Solve
The impact investing industry has grown rapidly, but remains plagued by measurement challenges. ESG ratings are subjective, inconsistent across providers, and often disconnected from actual outcomes. Investors genuinely seeking positive impact lack tools to evaluate their portfolios with precision.
Consider climate investing: a fund labeled "climate-focused" might hold companies spanning a 2.4 million-fold range in carbon efficiency. Without metrics to distinguish between them, capital flows to visible brands rather than maximum-impact opportunities.
This isn't a values problem. It's a measurement problem.
Our Approach
Quantify the Impossible. We apply AI methodologies to measure variables that traditional analysis considers unmeasurable. The Climate Efficiency Ratio proves this is possible—and valuable.
Show, Don't Tell. Every claim is backed by auditable data. Our research includes complete methodology documentation, enabling replication and scrutiny.
Influence Markets. Measurement changes behavior. By providing precise impact metrics, we aim to shift how capital allocates—from intuition-based to evidence-based.
Founder
Jay Pazos
Jay brings over thirty years of experience spanning valuations, investments, financial planning, and quantitative research. His career bridges traditional finance and emerging technologies—from McKinsey consultant to entrepreneur to hedge fund CTO to Senior Adviser at a family office.
An alumnus of the University of Chicago Booth School of Business, Jay's research interests center on applying rigorous quantitative methods to emerging asset classes.
Impacta emerged from a core frustration: sustainable investing's greatest weakness is its inability to measure actual impact. The Climate Efficiency Ratio is the first proof that AI-powered quantification can solve this problem.
Why AI?
Traditional impact analysis faces a fundamental constraint: humans cannot practically process the thousands of data points required for precise measurement. Product specifications, supply chain emissions, lifecycle assessments, financial disclosures, regulatory filings—the data exists, but synthesis at scale has been impossible.
AI removes this constraint.
Our systems process primary sources that human analysts cannot practically evaluate, enabling measurement precision previously impossible in impact research. This isn't AI as a shortcut—it's AI as a capability unlock.
Research Standards
- Authoritative Sources: Baselines drawn from ICCT, IEA, IPCC, EPA, and other recognized frameworks
- Methodology Transparency: Complete documentation enabling replication
- Robustness Testing: Sensitivity analysis confirming conclusions hold under alternative assumptions
- Peer Review: Research submitted to academic journals and conferences