Shepherd Veterinary Software vs IBM

Side-by-side comparison of AI visibility scores, market position, and capabilities

IBM leads in AI visibility (80 vs 40)

Shepherd Veterinary Software

EmergingHealthtech

Veterinary Practice Management

YC-backed cloud veterinary PMS designed from the ground up by veterinarians for modern clinic workflow efficiency. San Francisco CA; founded 2018; integrates scheduling, medical records, treatment tracking, invoicing, and inventory in a single workflow-first platform built to reduce the friction of busy multi-doctor practices.

AI VisibilityBeta
Overall Score
C40
Category Rank
#4 of 4
AI Consensus
64%
Trend
up
Per Platform
ChatGPT
33
Perplexity
36
Gemini
48

About

Shepherd Veterinary Software is a San Francisco-based cloud veterinary practice management system backed by Y Combinator and designed from the ground up for the operational workflow needs of modern veterinary clinics. Founded in 2018 by veterinarians and technologists who experienced firsthand the frustrations of legacy practice management systems, Shepherd built a clean, intuitive platform that integrates appointment scheduling, medical records, treatment tracking, invoicing, and inventory management into a unified workflow optimized for the pace and multitasking demands of a busy veterinary practice. Unlike older systems that were designed around a desktop paradigm and adapted for web, Shepherd was built as a cloud-native application from day one.\n\nShepherd's clinical workflow design reflects its founding team's veterinary experience. The platform's whiteboard feature provides a real-time view of every patient in the clinic—which exam room they are in, what treatments have been administered, what orders are outstanding, and who is responsible for each task. This "at a glance" operational view reduces the communication overhead between veterinarians, technicians, and receptionists that leads to errors and delays in busy multi-doctor practices. The treatment sheet auto-populates charges based on administered treatments, reducing the billing leakage common in practices where staff must manually add charges from memory.\n\nShepherd targets independent veterinary practices and small veterinary groups in the United States, competing with established systems including IDEXX's AVImark, ezyVet, Cornerstone, and ImproMed in the veterinary practice management market. The company differentiates on user experience quality, cloud-native reliability, and the speed of its development cycle—as a well-funded startup with a modern tech stack, Shepherd can ship product improvements significantly faster than legacy software vendors. Shepherd has gained traction primarily through referrals within veterinary professional networks and targeted digital marketing reaching veterinary clinic owners and practice managers.

Full profile

IBM

LeaderEnterprise Software

General

Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.

AI VisibilityBeta
Overall Score
A80
Category Rank
#56 of 1158
AI Consensus
67%
Trend
up
Per Platform
ChatGPT
74
Perplexity
71
Gemini
84

About

International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).

Full profile

AI Visibility Head-to-Head

40
Overall Score
80
#4
Category Rank
#56
64
AI Consensus
67
up
Trend
up
33
ChatGPT
74
36
Perplexity
71
48
Gemini
84
43
Claude
74
41
Grok
81

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