Deviceflow

Deviceflow builds an AI-powered operations layer for medical device distributors and manufacturers, automating the manual coordination work that happens between a surgical case and collected revenue. Field reps in medical devices routinely communicate case details, charge sheets, purchase orders, and inventory transfers through emails, texts, and photos — Deviceflow reads that unstructured input, extracts the structured data (case IDs, lot numbers, PO numbers, contract pricing, ship-to details), and pushes it directly into a customer's existing ERP (Microsoft Dynamics, NetSuite) and accounting systems (QuickBooks) without requiring EDI integration or new apps for reps to install. The company targets the '80% of the work' that traditional ERPs can't do themselves: chasing missing lot numbers, reconciling contract pricing, and following up with reps before a bill-only case can be invoiced. Customers report recovering previously unaccounted field inventory (one case study cites $1.46M recovered in 60 days for a Big-4 orthopedic distributor), cutting billing errors by roughly 60%, and shortening payment cycles by 15+ days. Deviceflow was founded in 2024 by Anatoly Geyfman (CEO) and Daniel Imfeld (CTO), the same team that previously built and scaled Carevoyance, a medical-device sales targeting and commercial intelligence platform, and PatientFinder, a physician and referral-engagement analytics company — both of which were acquired by Definitive Healthcare (Nasdaq: DH), with Carevoyance's acquisition closing in 2024 shortly before Deviceflow's founding. The team also includes Jason Katzer as Head of Engineering, previously of Ramp and Cure-X and author of the O'Reilly book 'Learning Serverless.' The product is HIPAA compliant, SOC 2 aligned, and ships with a full GAMP5 Category 4 validation package for QMSR audit readiness, reflecting its focus on the compliance-heavy medical device industry. The company positions itself as deployable in 48 hours with pilot results visible within 30-60 days, contrasting with the 6-12 month implementation timelines typical of legacy medtech operations software.