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Healthcare SaaS that uses AI and workflow automation to turn clinical records into recommendations for value-based care teams.
$105M–$110M year-end ARR target · 70–80 customers · average deal size over $800K
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Reveleer sits at the intersection of healthcare data, value-based care, and enterprise workflow software. Jay Ackerman describes a company that took six years to move from $1M to $25M, then grew from $25M to $50M in one year and expected to reach about $100M in the following year. The product brings payers and providers together by ingesting medical records, using machine learning and workflow automation to distill the data, and giving clinicians three to five recommendations during a short patient visit. The company introduced machine learning in 2019 and now processes almost a billion pages of medical records annually. Growth came from product expansion, a national health-plan win, and two acquisitions that moved the company from payer work into provider work. Acquired revenue represented roughly 10% of the current-year total, while the larger opportunity came from selling a broader solution to existing buyers. This is a scale reference, not a weekend micro-SaaS: regulated data, enterprise sales, capital partners, customer retention, and integration work are all part of the model.
9 more sections — how the first customers came, how the first dollar landed, what turned the flywheel, and how they got through the silent stretch. Members read all of it.
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Join the Unicorn Club — $5/moCancel in one click · first payment refundable for 7 daysData credibility: Founder interview with Jay Ackerman; the revenue, ARR, customer, deal-size, medical-record, and acquisition figures are founder-reported and unaudited in this source. The transcript describes a $65M debt raise and institutional capital partners, but no independent filings or dashboard are presented here.