AI × HR — Singapore

Hiring judgment that shows its work.

Peoplemath reasons about candidate fit across your whole organisation — not one job description — and cites the evidence behind every score. Built for fintech and growth-stage teams who can't afford a black box.

How it works

Every score, traceable to a line in the CV.

Most hiring tools match keywords to a job description. Peoplemath is built differently — it reasons about fit the way a good hiring manager does, against the whole business, and shows exactly why.

01

Whole-org context

Candidates are scored against your company's actual priorities and structure — not a keyword match to a single job description.

02

Cited, not asserted

Every hard-skill, soft-skill, and values score traces back to a specific line of evidence. No unexplained numbers, no "trust the model."

03

Human-owned judgment

The Business Context Layer is owned and tuned by your HR team, not locked inside the model. The AI applies your judgment consistently — it doesn't replace it.

Who it's for

Built for fintech and growth-stage scaleups making hiring calls that matter — where a bad senior hire is expensive, and a good one is a competitive advantage.

How we work

Product, plus the judgment behind it.

Product

The hiring agent

Licensed to your team and configured against your own Business Context Layer — your priorities, your structure, your standards.

Advisory

Fractional HR leadership

Hands-on HR partnership from someone who has built these functions from the inside — not just implemented the software, but done the job it supports.

About

Why this exists

Peoplemath is built by a Singapore-based HR leader who has spent his career as an HR business partner inside fast-growing fintech and consumer companies across Southeast Asia — living the exact problem this product solves: hiring decisions that need to hold up under scrutiny, made at a pace no manual process can match.