Built by an Operator, Not a Vendor

Before CoreForged, Kenneth spent two decades in the chair. Not advising from the side. In it. At Pluralsight, he built the behavioral modeling and experimentation engine that drove $21 million in gross revenue — Markov Chain analysis, multi-armed bandit testing, cohort segmentation across a global user base. The numbers always told the story. At Walker Advertising, he forged the data strategy for a national service network and delivered $30 million in net revenue growth (75% year-over-year). At Joyce University, he shipped agentic AI frameworks and a Student Experience Knowledge Graph that found the friction points in curriculum and saved $220K/year in operational costs.

Before that: he scaffolded the marketing BI practice at Overstock.com from nothing through half-billion-dollar revenue operations. Ran experimentation programs at Adobe. At Clearlink, he wired multi-channel marketing spend directly to revenue outcomes. Every role, the same pattern. Build the infrastructure first. Let the data tell you what works. The spreadsheet never lies.

CoreForged exists because Kenneth kept seeing the same critical problem from the inside: organizations buying AI tools without the infrastructure to make them stick. Vendor dashboards that optimize for the vendor's revenue. Analytics stacks held together with duct tape and manual CSV exports. Most consultancies skip the foundation and sell the finish. CoreForged builds the load-bearing layer — the part that makes AI actually ship after the sales team leaves.