Reelearn

Reelearn takes the engagement mechanics that make social media impossible to put down (a swipeable vertical feed, one-minute reels, streaks, instant feedback) and gives them to companies, so they can embed their culture, values and new knowledge into every employee's head, not just their inbox. The problem: companies spend heavily on training and culture programmes that frontline staff never finish. Policies sit in PDFs, town halls are watched once, and the LMS is opened only when compliance forces it. Yet the same employees spend an hour a day on reels without being asked. Reelearn meets them there. How it works: HR or L&D uploads what the company already has (a policy PDF, a deck, a URL, a town-hall recording) into the AI Reel Studio. Meta's Muse models turn it into one-minute reels with a script, visuals, captions, a recall question and translations into Arabic, Urdu and Bengali. L&D and a subject-matter expert both approve before anything is published. Every employee gets a short daily "minute" in the app or on WhatsApp: two new reels and one review. Each reel ends with one question, and the answer comes back on a spaced-repetition schedule until it sticks. Leaders see which values and topics have actually landed, by team and by topic, without anyone's individual answers being exposed. Why it sells: it turns culture and compliance from a cost nobody can measure into a readiness score leaders can see. It is built for the Saudi market (Arabic-first, shift-aware delivery that respects prayer times, WhatsApp as a first-class channel, HRDF evidence exports, data kept in the Kingdom) and priced in cents per reel, so it scales to thousands of frontline staff. Built as a real product: Rust (axum) API, worker and scheduler; PostgreSQL 17 with per-tenant row-level security and regional data residency; Redis; S3 storage behind a CDN; Next.js 15 admin studio; Flutter mobile app.