We join at the beginning.

FutureProofing was collecting plenty of data across hiring, and none of it was making the interview process better. Hacker Eval held the assessments. Fieldbook held the pipeline. Atlas held the organization. Three systems, three separate versions of the truth.

We unified them into one layer that produces a single read on a candidate.

The hard part was restraint. The interesting question was never how much we could build, it was which data actually predicts anything, how to structure it, and how to be honest when the model is more certain about some calls than others. Every output carries its own confidence.

Behavioral Elements branched off as its own company with a framework, a network of certified guides, and no AI strategy. We came in as founding advisor and built both sides of it.

For the guides: a behavioral assessment, the Element Translator, a debrief tool that turns an assessment into an individual plan, a written course, and a prototype enterprise coaching tool. Together they help guides learn the framework and deploy it well.

For the product: Apollo, an AI Behavioral Elements guide built to be pointed at one domain at a time. Burnout is the first. It is ready for beta and held back until the product around it is ready.

Over three years we built Mahway's own team and ran executive search across the portfolio, hiring the executive talent at nearly every company the studio backed.

A studio lives or dies on the executive bench at each company. Get those hires wrong and the thesis never gets a fair test, because everything downstream is their judgment. Most of the work is not reading a résumé. It is knowing what a company will need eighteen months before it needs it, and finding someone who is already that.

Every hire after the executive layer is shaped by those decisions. So we treat them as the product decisions they are.

A legacy executive search firm ran on disparate tools and collected a great deal of data it never used. We are consolidating the work end to end into a single AI platform: faster searches, a shorter ramp for new consultants, and reporting that stops eating the week.

The more valuable output is the second one. Every search now feeds an intelligence layer the firm owns. That layer compounds into a proprietary asset they can build community and business development around.

The hard part was never the technology. It was moving a large organization. What unlocked it was finding and organizing internal champions before asking anyone to change how they work.