COMMAND DASHBOARD
Company snapshot: ~200+ employees; Berkeley, CA; $157M total raised (Series C); works with 40%+ of all US health systems and 9 of 10 largest radiology practices; first company to develop a healthcare-specific large language model; estimated total comp: $300K–$500K (base + commission + equity).
Market penetration gap: 60% of US health systems are not yet on the platform. That represents hundreds of systems ranging from 50-bed community hospitals to major academic medical centers — each in a different stage of AI readiness, procurement maturity, and budget availability.
ROI proof demand: Healthcare AI has entered the "prove it or move aside" cycle. Buyers who were willing to pilot in 2023–2024 now demand documented clinical outcomes and financial impact before committing to enterprise contracts.
Workforce crisis tailwind: Rising patient volumes combined with a shrinking radiology workforce creates structural urgency — but that urgency is not automatically converting to closed deals without a sales motion designed for dual-stakeholder procurement (radiologist end-users + hospital IT/finance buyers).
Consolidation pressure: Radiology Partners acquired a competitor for $80M, signaling that the market is beginning to consolidate around proven platforms. Capture timing is compressing.

Rad AI’s remaining 60% of the market cannot be captured with the same motion that won the first 40%. The next wave requires a regional sales leader who can simultaneously run a sophisticated enterprise healthcare sales process, manage the dual-stakeholder complexity of clinical champions vs. financial approvers, deploy AI-driven pipeline acceleration tools to compress 9-to-12-month cycles, and build a team capable of executing at Series C velocity. That is not a pure sales hire and it is not a pure AI hire — it is both, operating as one function. Each month without this capability in place costs an estimated $2M–$4M in pipeline that competitors are actively pursuing.

Days 1–90Q1 — FOUNDATION
Days 91–180Q2 — BUILD
Days 181–270Q3 — SCALE
Days 271–365Q4 — OPTIMIZE
Conservative

$6M in regional ACV; 15 new health system contracts; competitive displacement of 3 Aidoc/Viz.ai accounts

Target

$10M in regional ACV; 25 new health system contracts; GPO channel producing 20% of pipeline

Stretch

$15M in regional ACV; peer reference program accelerating deals by 30%; Rad AI positioned as dominant platform in the region with 65%+ market penetration

Strategic Summary

Core Opportunity

Rad AI has $157M raised, works with 40%+ of US health systems and 9 of 10 largest radiology practices, and developed the first healthcare-specific LLM. But 60% of the market remains uncaptured, and the "prove it or move aside" cycle demands documented clinical outcomes before enterprise commitment.

Execution Thesis

Deploy AI-powered health system intelligence, dual-stakeholder engagement automation, competitive displacement targeting, and GPO/IDN channel development to capture the remaining 60% of the market — delivering $6M–$15M in regional ACV with a repeatable motion ready for national expansion.

Production systems, not theory. Revenue captured, not demos given.