Meet Jeff Bond

With a foundation in industrial engineering and decades of active construction, Jeff looks at a building as a set of connected systems. He knows how a property is designed to work, how it is built in the real world, and how each part fails when it is neglected.

Analysing a system on a screen is one thing. Understanding how it handles decades of shifting California soil, seismic stress and deferred maintenance is another. He specialised in field work because he saw a gap in the industry: buyers, investors and asset managers were making very large decisions on the strength of quick, checklist-style inspections.

A report from Jeff is a diagnosis. It follows the quiet chain of cause and effect behind poor maintenance, and shows how a small oversight in the past becomes wood rot, a failed mechanical system, or a large bill later.

Inspect.Net did not start as a software company. It grew out of three decades of real California inspections, and out of the call library Jeff refined one report at a time. A call is the short, exact sentence that tells a buyer what was seen and what it costs to fix.

That library became the platform's registry: almost 600 coded defects across 17 systems of the home, each carrying the sentence a thirty-year inspector would write and the price range a real contractor would quote. When AI made it possible to hold software to an inspector's standard of proof, Jeff built the platform around one rule. It may only report what it can prove.

Jeff leads the registry himself. He decides which defects exist, what evidence each one needs, how severity is called, and what a fair local repair range looks like. Every code the engine is allowed to cite passes through his rulings first. See how the platform works.