The Mission: From Kicking Down Doors to Kicking Down Flagsticks

My name is Corey Klessig.

For most of my professional life, two disciplines have defined me: precision and data.

In the United States Marine Corps, I was trained to operate with clarity under pressure. Preparation was deliberate. Execution was disciplined. Ambiguity was unacceptable.

In enterprise data environments, that same standard applies. As a Senior Database Administrator, I manage systems where architectural flaws do not hide. Poor structure produces poor output. Noise compounds. Small inefficiencies scale into systemic failure.

When I brought that mindset to golf, I assumed the data would tell the truth.

It didn't.

The Real Problem

I was hitting balls and watching outcomes.

Some straight. Some left. Some slicing right.

The launch monitor displayed an impressive stream of metrics:

• Club path
• Face angle
• Spin rate
• Launch angle
• Ball speed

But I lacked context.

I could see the numbers. I could see the shot shape. But I could not explain the causation behind it.

I was reacting to ball flight instead of diagnosing the system that produced it.

I wasn't improving. I was repeating.

Data Without Architecture Is Noise

In the enterprise world, no serious organization analyzes performance using isolated snapshots. We aggregate. We model trends. We correlate variables. We detect patterns across time.

Golf technology, for all its sophistication, largely stops at measurement.

Session data is valuable—but it is insufficient.

Without historical aggregation, you cannot determine:

• Whether dispersion is tightening month over month
• Whether face-to-path control is stabilizing
• Whether spin variance is improving
• Whether equipment is amplifying your miss
• Whether you are actually trending better

Improvement is not measured in single sessions. It is measured in longitudinal data.

Engineering the Solution

This is where my professional background mattered.

I work daily with elite data scientists and software engineers. We understand structured data. We understand modeling. We understand systems architecture.

So instead of continuing to guess, we built.

VectorGOLF.ai was designed as an analytics layer—not another measurement device.

We built a platform that:

• Aggregates historical performance
• Detects measurable trends
• Correlates swing metrics with equipment profiles
• Identifies systemic patterns
• Translates raw numbers into actionable insight

The objective was simple: move golfers from reactive practice to informed development.

Understanding the Why

When a golfer slices the ball, the solution is rarely "swing harder" or "try something different."

The solution lies in understanding:

• Face relative to path consistency
• Spin axis tilt patterns
• Start-line bias frequency
• Release timing indicators
• Equipment interaction

The question is not, "Where did that ball go?" The question is, "Why does this pattern exist?"

VectorGOLF.ai was built to answer that question with evidence—not guesswork.

The Mission

We did not build this platform to collect more numbers.

We built it to bring professional-grade data architecture to everyday golfers.

To aggregate history. To reveal trends. To expose mismatches. To clarify cause and effect.

Because improvement should not be accidental. It should be engineered.

Corey Klessig
Founder, VectorGOLF.ai

Know Your Numbers. Engineer Your Improvement.
Measure with precision. Improve with intention.
This is Vector Insight.