Instinct launches veterinary clinical AI assistant Attending
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CURRENT BRIEF VERSION: Instinct Science has launched Attending, a clinical AI assistant built specifically for veterinarians, adding another signal that AI tools are moving from documentation into point-of-care decision support in veterinary medicine. The company said the tool answers clinicians’ questions using peer-reviewed veterinary content, including Plumb’s Veterinary Drugs, Standards of Care, and Clinician’s Brief, with inline citations and dosing information pulled directly from Plumb’s rather than generated by the model. Attending is in invitation-only research preview now, after early use at centers including the Schwarzman Animal Medical Center in New York, and Instinct says it plans to offer the product both standalone and inside Instinct EMR and ScribbleVet workflows in the coming months. (instinct.vet)
Why it matters: For veterinary professionals, this is a notable shift in where AI competition is heading. Scribes and workflow tools are already spreading through practices and teaching hospitals, and vendors are now trying to position AI as a clinically useful, citation-backed reference layer rather than just an administrative shortcut. That broader push is showing up elsewhere in the market too, including tools aimed at triage and client communication, such as Your Vet Direction’s new SPOT platform for customer service teams. Together, those launches suggest the next phase of veterinary AI may reach more parts of the care pathway, from the front desk to the exam room. That could help with after-hours questions, training, and consistency, but it also raises familiar concerns around validation, workflow fit, and the need for veterinarians to remain the final clinical decision-makers. Broader industry discussion has been moving in that direction, with veterinary groups and educators emphasizing both practical adoption and guardrails around accuracy, bias, and hallucinations. (instinct.vet; todaysveterinarybusiness.com)
What to watch: Watch for broader commercial availability, independent evidence on clinical performance, and how quickly practices and teaching hospitals adopt veterinary-specific AI tools beyond scribing. It will also be worth watching whether AI support tools spread into adjacent workflows such as call triage, client-facing record access, and care coordination. (instinct.vet; todaysveterinarybusiness.com)
CURRENT FULL VERSION: Instinct Science on September 10 introduced Attending, a veterinary-specific clinical AI assistant designed to answer case-based questions with cited, peer-reviewed support, marking a fresh step in the profession’s fast-moving AI buildout. The company is pitching the product as distinct from general-purpose AI by grounding responses in veterinary references already familiar to clinicians, and by retrieving dosing information directly from Plumb’s Veterinary Drugs. (instinct.vet)
The launch lands in a veterinary market that has already spent the past year accelerating adoption of AI scribes, workflow automation, and record-generation tools. Instinct itself has been expanding across that stack through products including Instinct EMR, ScribbleVet, Plumb’s, Standards of Care, and Clinician’s Brief. Other vendors are also pushing deeper into hospitals and academic settings: Iowa State University’s Lloyd Veterinary Medical Center, for example, recently announced a rollout of VetRec’s AI documentation platform across small animal, large animal, and equine services. And the broader AI wave is not limited to doctors’ desktops. In recent industry news, Your Vet Direction launched SPOT (Symptom Prioritization and Outcome Triage), a decision-support platform for veterinary customer service representatives that uses a human-in-the-loop model, structured veterinary logic, and a built-in toxin calculator to help staff identify red flags and prioritize urgency during client calls. OpenVet, meanwhile, introduced OpenAnimal, a free app meant to function as a universal pet medical record and connect owner-reported observations with veterinary-literature-based question support. (instinct.vet; todaysveterinarybusiness.com)
According to Instinct, Attending converts plain-language clinical questions into “specialty-level” answers in seconds and displays inline citations that veterinarians can review directly. The company says the tool relies on peer-reviewed literature and continuously updated references maintained by more than 200 boarded specialists and pharmacists. It also says the product has already been used in preview by boarded specialists, emergency clinicians, and general practitioners, including in a whole-hospital rollout at the Schwarzman Animal Medical Center. Commercially, Instinct plans to make Attending available both as a standalone subscription and as an embedded feature inside Instinct EMR and ScribbleVet. Today’s Veterinary Business separately reported that the product is currently in invitation-only preview and slated for release as both a standalone offering and an integrated EMR feature in the coming months. (instinct.vet; todaysveterinarybusiness.com)
That positioning matters because the competitive conversation is changing. Early veterinary AI adoption centered heavily on reducing charting time and administrative burden. Now, companies are trying to move closer to the clinical decision-making workflow itself, while still stopping short of replacing clinician judgment. VetPartners, in a recent AI education program for veterinary professionals, framed the issue directly: AI can contribute information to decision-making, but the veterinarian remains responsible for interpreting it in the full clinical context. AAHA has made a similar point, describing AI as a thinking partner and operational assistant, not a substitute for medical judgment. The rollout of products like SPOT also reinforces that many companies are deliberately keeping a human in the loop even as they automate parts of intake, triage support, and information retrieval. (vetpartners.org; todaysveterinarybusiness.com)
Instinct and its early users are leaning into that message. CEO Caleb Frankel said the tool was built for high-pressure moments like complex cases or drug questions during overnight shifts, while AMC’s Dennis Slade said the center prioritized clinically accurate, peer-reviewed information in evaluating the system. Those endorsements help explain the company’s strategy: if veterinary teams are going to trust AI at the point of care, vendors will need to show transparent sourcing, species-relevant references, and safeguards around high-risk content such as dosing. (instinct.vet)
Why it matters: For veterinary professionals, Attending is less important as a single product launch than as evidence of where the category is heading. Veterinary AI is moving from back-office efficiency into clinical support, education, and standardization. That could be especially meaningful for ER settings, new graduates, multi-site groups, and teaching hospitals that want faster access to reference-backed guidance. The surrounding market moves point the same way: AI tools are now being aimed not just at note creation, but also at front-desk triage support, owner-facing record access, and tighter coordination between pet families and care teams. But the upside comes with real pressure for validation. Recent veterinary AI research has highlighted both promise and limitations in model performance, reinforcing that specialty grounding and transparent citations may become baseline expectations rather than premium features. (instinct.vet; todaysveterinarybusiness.com)
There’s also a practical business angle. As more hospitals adopt AI scribes and documentation tools, vendors that can layer clinical reference, prescribing support, and workflow integration into the same ecosystem may gain an advantage. That logic is visible elsewhere in the industry as well, including moves to modernize prescription workflows and connect software systems more tightly across practice operations. In other words, the race is no longer just about saving minutes on notes; it’s about becoming the trusted operating layer around the veterinarian. (todaysveterinarybusiness.com)
What to watch: The next markers will be independent validation data, expansion beyond preview users, and whether veterinary hospitals treat these tools as optional references or begin embedding them into routine clinical and teaching workflows over the next several months. It will also be worth watching whether adjacent products for triage support and client-facing record access gain traction, since those tools could shape how AI gets introduced to veterinary teams and pet owners before or alongside deeper point-of-care use. (instinct.vet; todaysveterinarybusiness.com)