Hab began inside the hiring problem. Watching recruiters spend forty-plus hours a month reading resumes, while the best candidates accepted other offers, made the opportunity obvious and the standard industry answer ("buy another ATS") obviously wrong. The problem wasn't tracking applicants. It was the decisions buried inside the process.

So we built the decision layer: MinMaxHR, the HR KPI optimization decision intelligence layer for recruitment, and CandidRanker, the ranking engine inside it. Both are live in production, scoring every applicant across 8 scoring dimensions with the evidence attached to each one. JobRankd extends the same intelligence to the candidate's side of the table, because fairness in hiring should run both ways.

The method that built those products, diagnose the leak, design the process, deploy a bounded pilot, deliver measured results, became the 4D Method, and the consulting practice grew out of clients asking for it in their own operations: process automation, finance workflows, customer service, and beyond.

We work from India, serving clients globally. That's a deliberate advantage: world-class engineering economics, an instinct for pragmatic solutions, and a market that forces software to prove ROI fast.