Building the Future of Interview Intelligence

Interviewology.ai was founded to transform one of the most consequential decisions every organization makes: who to hire.

For decades, interviews have remained stubbornly imperfect. They are essential, but often inconsistent; human, but frequently subjective; rich in insight, but rarely captured or analyzed with discipline. Even the most sophisticated companies rely on hiring processes that vary dramatically by interviewer, team, role, and moment.

Interviewology.ai exists to change that.

We are building an AI-powered interview intelligence platform that helps organizations structure better interviews, capture stronger signal, reduce inconsistency, and make more confident talent decisions. Our goal is not to replace human judgment, but to elevate it — with better data, clearer evaluation frameworks, and consistent decision support.

Why We Are Building Interviewology.ai

Hiring is one of the highest-leverage decisions in business. A great hire can transform a team, while a poor hire creates months — or years — of avoidable cost. Yet most interview processes remain severely under-instrumented. Organizations often struggle to answer basic questions:

• Are our interviewers evaluating candidates consistently?
• Are we identifying the right signals?
• Are we reducing bias, or simply institutionalizing it?
• Are our interviews predictive of future performance?
• Does the candidate experience reflect the quality of our company?

Interviewology.ai is designed to help organizations answer these questions with confidence. Our platform brings structure, intelligence, and accountability to the interview process. It helps teams define what they are evaluating, conduct more consistent interviews, capture better evidence, and make decisions that are transparent, explainable, and aligned with business needs.

Our Vision

We believe the future of interviewing will be more intelligent, more consistent, and more human.

• More structured: Clearer competencies, better rubrics, and stronger alignment between role requirements and candidate evaluation.
• More data-informed: Using AI to identify patterns, surface insights, and help teams focus on the signals that matter.
• More equitable: Reducing avoidable variability and helping organizations evaluate candidates with greater consistency.
• More predictive: Connecting interview evidence to real performance potential.
• More human: Giving interviewers better tools and candidates a clearer, fairer, and more respectful experience.

Founded by Leaders Who Understand People, Performance, and Scale

Interviewology.ai was created by Marcus East and Adam Maddock. Together, they bring a rare combination of enterprise operating experience, military leadership, public service, strategic discipline, and a deep understanding of how organizations evaluate and develop talent. This is a founding team built for the exact problem Interviewology.ai is solving.

Marcus East · Co-Founder

Marcus has spent two decades leading digital transformations at IBM, Apple, Google, and Autodesk, and his book Working with Dinosaurs is about why they so often fail. The honest answer is rarely strategy or technology. It's people: the wrong leader hired for the wrong moment, a senior hire nobody can quite explain afterwards, a panel of interviewers who all left the room with a different impression of the same candidate. Interviewology is what Marcus would have wanted on every transformation he's ever led — a way to get a panel to actually agree on what they're evaluating, and capture the evidence cleanly enough that the decision still holds up six months later, when the company has to live with it.

Adam Maddock · Co-Founder

Adam has seen what evaluation discipline looks like at its highest stakes. First as a United States Marine Platoon Commander, where deciding which people could lead under fire wasn't an HR exercise, and the cost of getting it wrong wasn't theoretical. Then in the White House during the Obama Administration, where some of the most rigorous vetting processes in government run as a matter of routine. He came to corporate America expecting something similar and instead watched critical hires get decided in three thirty-minute conversations and a Slack thread. Interviewology is his attempt to bring even a fraction of that real evaluation rigor — structured, accountable, consistent — to the way the rest of us hire, without the bureaucratic overhead that makes most "structured" processes collapse the first time someone is in a hurry.

Built for a Large and Urgent Market

Every company hires. Every hiring process depends on interviews. And every hiring mistake carries a meaningful cost.

As AI reshapes the workforce, organizations will need better ways to identify people who can lead, adapt, collaborate, build, and execute in increasingly complex environments. Interviewology.ai is positioned at the convergence of several powerful trends:

• The rise of AI-enabled HR and talent technology.
• Growing demand for higher-quality, evidence-based hiring decisions.
• Increased focus on fairness, transparency, and bias reduction.
• The need for scalable decision intelligence across enterprise workflows.

Interview data is one of the most underutilized assets in enterprise talent strategy. We are building the platform to unlock it.

Our Commitment

We are building Interviewology.ai with a clear mandate: AI should improve human decision-making, not obscure it. The best hiring decisions are not made by algorithms alone. They are made when human judgment is supported by better structure, better evidence, and better tools. We help organizations make interviewing more disciplined and effective, while preserving the vital human context that makes great hiring possible.

For Investors and Partners

Interviewology.ai is an early-stage company pursuing a large, persistent, and economically significant market opportunity at the intersection of AI, talent intelligence, and leadership assessment.

Our founding team brings the credibility to understand the enterprise buyer, the discipline to build for scale, and the ambition to define a new category in interview intelligence. For investors, partners, and organizations interested in the future of AI-powered talent evaluation, we welcome the conversation.