Enterprises struggle to test AI forecasts in real-world conditions, so startups are using prediction markets as a live sanity check. Augur lets companies spin up private markets where employees trade on AI-generated predictions to catch model flaws before they cause costly errors. It monetizes through tiered SaaS plans, transaction fees on public markets, and a data API for aggregated market sentiment.

• Augur runs private, real-money/token prediction markets where employees bet against a company's own AI forecasts to expose model blind spots that backtesting misses.
• Revenue comes from tiered SaaS pricing on private markets, transaction fees on public markets, and eventually an API selling anonymized sentiment data to hedge funds.
• Growth tactics include a public demo tied to high-profile events (like Fed decisions) for SEO, an open-source engine on GitHub, and a "Forecast Grader" tool to hook clients.
• The whole platform is buildable fast with a lean stack (Node.js, Supabase Realtime/Socket.io, PostgreSQL, Next.js/Tailwind), letting a small team ship it in weeks.