Build an AI-Matched Neurodivergent Job Placement Platform

1. 1

   Match on strengths and fit, not keywords

   The core innovation is a matching model built around a candidate's genuine strengths, work style, communication preferences, and the accommodations that let them thrive, paired with roles and employers designed to fit. This is the opposite of resume-keyword filtering, which screens neurodivergent talent out. AI can help surface fit, but the model must be transparent and never reduce a person to a label. Design the matching logic to empower candidates, with their consent and control over what they share.

2. 2

   Decide your revenue model and who pays

   Two-sided platforms usually charge the employer side: placement fees, subscriptions for access to a supported candidate pool, or fees for inclusive-hiring tooling. Keep the service free and dignified for job seekers. Model a placement fee or employer subscription that pays for the platform without extracting from candidates, and be clear about it, because trust with the job-seeker side is the whole asset.

3. 3

   Seed one side before the other

   A marketplace with candidates but no jobs, or jobs but no candidates, is dead. Usually you seed engaged employers first, ones with real, well-designed roles and genuine commitment to inclusion, then bring candidates to fill them. Prove real placements manually if needed before automating. Early liquidity in a niche geography or sector beats a thin national launch.

4. 4

   Build accommodation and support into the product

   The platform's value is not just matching; it is helping both sides succeed. Guide employers on accommodations and inclusive interviewing, support candidates through the process, and consider partnerships with vocational rehab and autism organizations that already serve job seekers. A placement that fails helps no one, so design for successful, retained matches, not just introductions.

5. 5

   Protect privacy and consent rigorously

   You are handling sensitive information about disability, health, and accommodations. Handle it with strict privacy, explicit consent, and candidate control over disclosure, and comply with relevant data and employment law. Never expose a diagnosis or need to an employer without the candidate's clear permission. Trust and legal compliance are existential for this platform.

6. 6

   Prove placements, then scale the flywheel

   Track real outcomes: placements, retention, and satisfaction on both sides, not just signups. Successful, retained matches bring more employers, which attracts more candidates, which improves matching. Scale geography and sectors only as liquidity and outcomes hold. Partnerships and demonstrated retention are what turn a niche platform into a durable, defensible marketplace.

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