EUNOBIO
AI Sales OS
Data → Knowledge Graph → Scoring → Action → Learning. Not a chatbot bolted onto a CRM — an engine where every closed deal makes the next decision more accurate.
How it works
Multi-source aggregation across market, accounts, products, reimbursement, and sales execution.
Network modeling of product–account–physician–reimbursement relationships.
RAEV scoring quantifies risk and return for every commercial decision.
Next-best-action recommendations drive CRM updates and meeting agendas.
Closed-deal outcomes feed back into scoring, continuously improving prediction.
Five engines
RAEV stands for Risk-Adjusted Expected Value — Revenue × Adoption × Evidence × Velocity. It's the daily command center for the sales team.
Identifies true product-market fit gaps from customer-need data, guiding product design and portfolio optimization. Turns a customer-needs list and product specs into a fit score and recommended intake list.
Output · Product Fit ScoreBuilds a nationwide account map from the CLIA lab database and CPT utilization, using geographic clustering and account segmentation to produce a regional heat map and target list.
Output · Account Opportunity ScoreWeighs account size, test volume, reimbursement mix, and engagement history into a single RAEV score, ranking accounts so sales resources concentrate on the highest-return opportunities.
Output · RAEV PriorityUses communication history, CRM status, and product materials to generate pre-visit briefings, objection handling, and real-time conversation guidance — and feeds rep actions back as training data.
Output · Best Next ActionTriangulates clinical data with state Medicaid and Medicare policies to produce a reimbursement feasibility score and clinical strategy — helping customers reach their first successful reimbursement claim.
Output · Reimbursement ViabilityEvery closed deal — won or lost — flows back into the knowledge graph and scoring model. The five scores together form the RAEV matrix, and accuracy compounds with every sale.
Compounding closed-loop effectWhat makes it different
Distributors lack data depth; CRM and AI vendors lack diagnostics domain knowledge. Eunobio combines both.
AI scoring lives inside the sales process — not a separate tool reps have to remember to open.
Coverage across customer-need dimensions and product-mix modules built specifically for diagnostics.
Unifies product, account, and reimbursement data into one connected model.
Sales execution and a data feedback loop — every closed deal makes the model more accurate.
See it in action
Request a walkthrough of the AI Sales OS and how it would map to your portfolio.