We didn’t just build a thesis; we validated it directly with the market. We have spoken directly with Compliance Directors, QA Leaders, and Revenue Cycle Directors across behavioural health organizations. The market signal is incredibly strong:
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Unprompted Product Pull: Every single lead described the exact product we want to build: a pre-billing, real-time, EHR-integrated flagging layer that checks documentation against payer-specific rules before claims are submitted.
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Massive Financial Pain: The real pain comes from post-payment recoupments (clawbacks). Buyers cited chronic, aggressive payer audits happening weekly or monthly, with single audit events causing catastrophic losses ranging from $150,000 to $850,000.
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Budget is NOT the Blocker: Buyers explicitly stated that if the tool integrates cleanly with their EHR and meets a high accuracy bar, securing the budget is not a problem.
We are targeting a large, highly fragmented market where revenue cycle teams are increasingly struggling to manage denials at scale. The total addressable market is estimated at $4.0B–$6.0B+, spanning more than 20,000 organizations, including multispecialty groups, behavioural health providers, and health systems. The ROI case is compelling: at current price points, the software can quickly pay for itself by reducing manual auditing labour by an estimated 80–85% while also preventing clawbacks that translate into millions in avoided losses.
FutureSight is a leading venture builder that co-creates world-class software companies with values-driven entrepreneurs from inception to exit. We are a team of founders, operators and designers with experience successfully bringing software to market at scale.
You’ll co-create with a proven studio team, led by John Carbrey (4x entrepreneur, $100M ARR), Krista LaRiviere (3x exited, E&Y Top Women Entrepreneur), Alan Smith (Strategyzer co-founder, $120M in products built), Prathna Ramesh (former MD of Maple Leaf Angels, $275M in follow-on capital), and Johnny Tong (0-to-1 builder, acquired by SAP and Stripe) bring a rare combination of operator exits, institutional investing, and AI product depth.