Digitail’s Sebastian Gabor spotlights AI’s next phase in vet med: full analysis
Sebastian Gabor’s latest appearance on the Veterinary Innovation Podcast is less a company update than a signal about where veterinary software is headed. In the March 12 episode listing, the discussion centers on what a new wave of AI investment could mean for veterinary medicine, including whether clinics may soon get access to more capable and less expensive tools. That framing is notable because Gabor isn’t just commenting from the sidelines: he co-founded Digitail, a veterinary practice management company that has been building AI into clinical and administrative workflows for several years. (podcasts.apple.com)
Digitail was founded in 2018 by Sebastian Gabor and Ruxandra Pui, with a pitch centered on modernizing veterinary operations and improving communication between clinics and pet parents. The company has steadily expanded that message from core cloud-based practice management into a broader AI-native platform, including scheduling, medical records, client communication, online booking, payments, and a native pet parent app. In other words, the backdrop to this podcast appearance is a longer effort to reposition the practice management system from a digital recordkeeping tool into a more active operating layer for the clinic. (digitail.com)
That strategy got fresh financial backing in late 2025. Digitail announced a $23 million Series B on November 10, 2025, led by Five Elms Capital, with support from existing investors Atomico, Partech, ByFounders, Gradient, and others. In the funding announcement, the company said the capital would support product development and expansion of its AI-powered veterinary software. Additional reporting around the round indicated Digitail had reached total investment of roughly $37 million and was targeting substantial user growth through the end of 2026. (prnewswire.com)
On its current product pages, Digitail is explicit about where it thinks AI can create value: SOAP dictation, record summaries, discharge notes, intake, charge capture, reporting, and flowboard-style coordination. The company also claims time savings and fewer no-shows, though those are vendor-reported performance figures and should be read as marketing claims rather than independent benchmarks. Still, the emphasis aligns with the themes Gabor has discussed across multiple podcast and webinar appearances: reducing administrative load, improving communication, and helping teams get through the day with less friction. (digitail.com)
Industry commentary around AI in veterinary medicine has also been moving in Digitail’s direction, though with caution. An AAHA Trends item in 2024 highlighted a Digitail survey suggesting that nearly 40% of veterinary professionals were already using AI tools, reflecting both growing familiarity and unresolved concerns about adoption. A Today’s Veterinary Practice feature discussing chatbots and AI in veterinary settings also quoted Gabor as an advocate for AI as an enhancement to, not a replacement for, the veterinarian. That broader industry tone matters: interest is real, but the profession is still sorting out questions around reliability, workflow fit, training, and trust. (aaha.org)
Why it matters: For veterinary professionals, this story is really about the next competitive phase in practice technology. As more vendors push AI-enabled platforms, practices will face harder questions about which tools actually reduce burnout, support staff efficiency, preserve medical quality, and strengthen communication with pet parents. Digitail’s recent funding gives it more room to compete aggressively, but the larger takeaway is that AI is becoming a standard expectation in veterinary software procurement, not a side feature. Clinics, consolidators, and managers may increasingly evaluate systems based on whether they can document time savings, improve record quality, and help teams operate with fewer staffing pinch points. (prnewswire.com)
What to watch: The next markers will be whether Digitail publishes stronger independent evidence behind its efficiency claims, expands integrations and enterprise adoption, and shows that AI features can move from early enthusiasm to durable daily use across general practice settings in 2026. (digitail.com)