Merit Engine - VC Leave-Behind Content

Published

June 29, 2026

internal confidential

Merit Engine — VC Leave-Behind (Content Source)

Fairlawn Strategy Partners · Investment Overview

This document contains the content for the designed one-pager leave-behind. For the visual version, see the rendered HTML output in this session.


HEADLINE

Merit Engine: The Platform That Decides Who Leads

SUBHEADLINE

AI-powered promotion readiness for public safety agencies — built on the same adaptive science that powers medical licensing boards


THE PROBLEM

Every year, thousands of police officers and firefighters compete for promotion. Most prepare with outdated study guides. Many fail not because they lack ability, but because they lacked the right preparation. Departments promote the best test-takers — not always the best leaders.

For agencies, this is more than an efficiency problem. An unvalidated promotion process is a legal liability. Bias claims, grievances, and civil service appeals cost municipalities an average of $250,000 per incident.


THE SOLUTION

Merit Engine is a personalized AI readiness platform built specifically for public safety promotional exams. It works like a personal trainer for promotion: instead of giving every officer the same workout, it constantly adjusts to exactly where each candidate is, closing the specific gaps that stand between them and the rank — not the ones they already know.

For the agency, Merit Engine provides a Succession Heat Map: a real-time picture of who is ready, which units are lagging, and which policies the whole force is misreading — before anyone sits for an exam.


HOW IT WORKS

  1. The platform ingests the agency’s specific policies, laws, and exam format
  2. Each candidate takes a personalized adaptive session (15-20 minutes daily)
  3. The engine identifies their weakest areas and routes them to targeted practice
  4. If a gap persists, it surfaces the exact policy section to review, then offers a live coaching session
  5. The agency sees aggregate readiness data in real time — no individual privacy compromised

THE MARKET

  • 18,000 law enforcement agencies in the US
  • 30,000 fire departments
  • 3,000-5,000 agencies with formal promotional cycles — addressable market
  • $2.4B spent annually on public safety training and certification
  • Current alternatives: static study guides, generic practice tests, informal study groups
  • No platform does what Merit Engine does at the adaptive intelligence layer

BUSINESS MODEL

Tier Target Agency Annual Contract
Bronze Individual officers / small agencies $199-249 per candidate
Silver 50-200 sworn $12,000-$38,000
Gold 200+ sworn / state agencies $85,000-$150,000+

Plus services: $350 per officer per live coaching session (recurring, triggered by platform)

Subscription discounts: 10% at 2 years, 20% at 3 years


THE MOAT

Three compounding advantages competitors cannot replicate quickly:

Calibration data: Every candidate response makes the platform smarter. After 10,000 candidates, our difficulty estimates are more accurate than anyone else’s. This data advantage compounds with every new agency.

Sovereign content: Each agency’s policies and laws are ingested and never shared across clients. Competitors would have to rebuild this from scratch for every client.

Validated science: The platform is built on the same assessment frameworks used in high-stakes professional licensing. Every recommendation is explainable and defensible — critical in a legally sensitive environment.


THE TEAM

Tonya R. Dawson, Founder — Industrial Organizational Psychology Professional with 20+ years designing and validating public safety assessment systems — promotional processes, selection tools, and leadership pipelines. Has built the exact systems this platform now digitizes at scale.

Caraline Malloy, Co-Founder / E-Learning Lead — Industrial Organizational Psychology Professional, active researcher, and experienced e-learning instructor. Leads the live and on-demand coaching layer that converts platform-identified gaps into measurable skill gains.


THE ASK

Raising [X] to fund: - Pilot deployment with 3 anchor agency clients - Platform build completion (adaptive engine, candidate portal, agency dashboard) - Calibration data foundation (the asset that makes this defensible at scale)

Target metrics at 12 months: 5 paying agency clients, 200+ active candidates, measurable pass rate improvement over pre-platform baseline.


CONTACT

Tonya R. Dawson · Fairlawn Strategy Partners, LLC, an affiliate of the Institute for Transformative Change tonya@fairlawnstrategy.com [website TBD]

Confidential — prepared for investor discussion only