Founder/operator background
Full P&L, EBITDA, M&A diligence, exit readiness, integration planning, and regulated workflow buildout.
About Azis
Boardroom-to-field healthcare operator.
Azis Dabas builds the commercial infrastructure that healthtech founders need when early demand has to become a disciplined, launchable, measurable growth system.
The throughline is founder-grade operating ownership: co-founding and exiting a specialty pharmacy platform, building provider networks, translating payer and value-based-care economics into commercial decisions, and standing up the RevOps intelligence layer that lets leaders see what is working before revenue leaks.
Recent work has included focused interim and project-based commercial buildout mandates across behavioral health, multispecialty care, and dialysis - intentionally structured as high-intensity sprints to build growth systems, payer-aligned channels, and operating infrastructure.
Series A/B healthtech is the ideal fit because the company usually has enough product-market signal to matter, but not yet enough commercial operating discipline to make the market repeatable.
CEO/CFO view
Vertical signal stacks for revenue quality.
A board-ready view of how market signal, payer economics, provider activation, RevOps control, and value proof stack into decisions a CEO and CFO can actually use.
$125.9M
Leakage opportunity
Claims and referral signal translated into targetable growth lanes.
$8M+
Built ARR
Regulated specialty pharmacy platform built from zero to strategic exit.
$13M+
Referral revenue
Annualized referral revenue across a dialysis network growth motion.
18%+
EBITDA discipline
Margin discipline maintained in a founder-to-exit build.
Confidential source materials stay private. The public layer shows the executive operating logic, proof signals, and decision architecture behind the work.
Payer and provider fluency
Medicare Advantage, Managed Medicaid, VBC, HEDIS/Stars, RAF/HCC, care gaps, provider networks, and service-line economics.
AI RevOps and claims analytics
Databricks, SQL, Python, HubSpot, attribution, LTV/CAC, AI-assisted scoring, and claims/referral leakage intelligence.
Domains
Where the work lands.
Behavioral Health
Specialty Pharmacy
Dialysis / CKD
Multispecialty Care
Payer / VBC
Healthcare AI
Care Navigation
Provider Networks
Operating stack
What gets built.
DatabricksSQLPythonHubSpotClaims forensicsLTV/CAC modelingAI-assisted lead scoringAttributionPayer dashboardsCRM hygienePipeline governanceValue-realization modeling
Founder-facing, commercially sharp, and close enough to the field to make it real.
Healthcare GTM operator who helps CEOs, CFOs, and founders turn messy healthcare markets into decisions: where the signal is real, how the economics work, what motion to run, what proof to require, and what to fund next.