The science of character, finally productized — operationalising 30 years of Jim Collins research into a living, verifiable, longitudinal professional intelligence layer.
Every leader knows it intuitively — and the data confirms it. Hiring, retention, and engagement failures are character failures. Yet no platform measures, develops, or signals character at scale.
of new-hire failures trace to character no resume reveals. The interview tested the wrong thing.
of leaders derail from character flaws no assessment caught — surfacing under pressure.
lost each year to disengaged workforces no survey predicts — 9% of global GDP, by Gallup's 2023 estimate.
Sources: Leadership IQ (2005) · Hogan, Hogan & Kaiser (2010) · Gallup State of the Global Workplace (2023).
The same research that exposes the problem also quantifies the prize. Companies led by character outperform — and no platform has yet operationalised the science to make character measurable, developable, and shareable.
market outperformance by character-led companies versus comparison set, over 30 years of research.
more profit at top-quartile engagement and culture — directly tied to the people on the bus.
platform to turn 30 years of research into a live product — measurable, developable, shareable.
Sources: Collins, Good to Great (2001) · Gallup State of the Global Workplace (2023) · Category analysis.
Get the right people on the bus before you decide where it goes.
Collins studied 1,435 companies over 30 years. One finding was consistent: character of people was the variable that mattered most — not strategy, not market, not capital.
The frameworks that exist today — Myers-Briggs, DISC, Clifton Strengths — measure personality. They don't measure character. They don't develop it. They don't signal it to the people making hiring and team decisions, or grow people seeking to enhance themselves where it matters most.
WHOM operationalises 30 years of research into a living character intelligence platform.
This single shift changes the entire product surface. If character is a pattern of choices, it can be measured, developed, tracked over time — and signalled with consent.
Grounded in positive psychology. Measured as patterns of choice, not personality type. Each pillar is independently scorable, independently developable, and combines into a unique signature.
Commitment, follow-through, and accountability — especially when it's hard and unrecognised. The compound interest of small kept promises.
Authentic engagement with people — warmth, curiosity, and generosity of spirit. The trait that makes teams choose to follow you, not just report to you.
Resilience and forward orientation — not naïve positivity, but the practiced habit of learning from what just happened and using it.
Emotional regulation and considered judgment under pressure. The single most predictive trait of leadership effectiveness across the research literature.
A painkiller, not a vitamin — one assessment that removes ineffective coaching and team dysfunction today, with hiring intelligence on the roadmap for 2027. Each surface reinforces the others: coaching insight makes hiring better, hiring outcomes make team work sharper, team work deepens individual coaching.
AI coach with full character context from session one. Supports growth across all four pillars through ongoing, longitudinal dialogue. The signature deepens with every interaction.
Aggregate team character map revealing collective strengths, complementary dynamics, and shared risk patterns. Sold into managers and L&D leads who already buy team development.
Soft signal plus AI-generated behavioral interview rubric. The hiring manager pressure-tests character in a structured conversation — prepared, not blind.
Hiring teams already make character bets — they just make them with no data, no rubric, and no shared language. Hiring Hub gives them all three, candidate-initiated and consent-controlled.
Candidate-initiated. Fully consented. Their verified character profile is shared with the specific employer for the specific role.
Character strengths and risk patterns are surfaced against role requirements. Soft signal only — no hard gates, ever.
Targeted questions and scoring guidance specific to this candidate's signature. The hiring manager enters the room prepared.
WHOM doesn't compete inside a single market — it sits at the intersection of three large, growing ones. The same character signature unlocks revenue in all three.
Talent assessment, psychometrics, and pre-hire evaluation. The legacy market WHOM redefines.
Corporate learning, leadership development, and AI coaching platforms. The fastest-growing of the three.
Hiring, talent intelligence, and candidate screening platforms. The deepest budget pool.
Every advantage WHOM compounds is one that requires consented, longitudinal, individual-level data — exactly what general-purpose AI cannot acquire by scraping.
The platform is live, audited, and shipping today — solo-built and battle-tested before a single dollar of outside capital. Trust is a technical property, not a marketing claim.
Same inputs always produce the same character signature. Every result is hashed, verifiable, and auditable.
Anti-template validated AI reports. Each report is composed specifically to the individual — not generated from a category.
Character signatures persist and compound. The platform knows who you were and tracks who you're becoming.
Candidate-controlled data sharing. No cross-context use without explicit, fresh consent at the point of use.
FastAPI · React · MongoDB · AWS. 1,159 passing tests, zero security vulnerabilities, in production today.
Aggregate signature mapping reveals collective strengths, complementary dynamics, and risk patterns across any team.
The unit economics are unusual: the assessment is generated once, and its value is leveraged three times across three buying motions. A certified consultant programme extends reach with negative CAC. Every signature added to the platform makes every product stronger.
The hardest, riskiest part — building a working, secure, deterministic platform — is already done. This raise funds market validation, not core engineering.
Capital efficient by construction — the platform is built. The full $1.5M buys two things: market proof and a small, senior team to hold what scales. First close is open now for lead and anchor investors who want to set terms.
Platform scaling, longitudinal data layer, two senior hires.
500-user coaching beta, validation and iteration.
Hiring Hub pilots (5 clients) and team assessment launch.
Employment law review, compliance, infrastructure, trademarks, patents.
Recurring portals plus a certified consultant network compound the model. The trajectory assumes conservative free-to-paid conversion and a measured consultant ramp; the upside case is meaningfully higher driven by signature-portability network effects.
Conservative projection across coaching, team, hiring, and consultant streams.
To three products live and validated.
$1.5M+ ARR run rate, 25+ certified consultants.
Reached at ~$3.5M ARR (mid-Y3) within model envelope.
Assumptions: 2% free-to-paid coaching at $20/mo; team at $49.95 + $79–$500/mo portal; consultants ramp 5→250 at $3,500 cert + $199/mo average; Hiring Hub launch Q1 '27. All projections illustrative — full model available on request.
Move the five most-asked drivers — conversion, consultant ramp, Hiring Hub clients, coaching price, headcount — and see ARR, breakeven year, and cash low point recalculate in real time. Conservative defaults match the diligence model.
A bottom-up motion that turns into a top-down one. Individual users become the natural champions inside the companies that ultimately buy the team and hiring products.
An operator who has run global teams and written the book on character — building the platform that puts both into one product. A solo-built, production-deployed, fully-tested platform is the most credible technical proof of concept a seed investor can see.
22+ years as a global executive across four continents. Bestselling author of nine books on leadership and character. CliftonStrengths "rainmaker". Built a seven-figure consultancy solo in 5 years. Full-stack platform architect, assessment designer, and product strategist — all in one.