About Us
The story behind Veterinary Sidekick

Veterinary Sidekick started the way most good tools do: inside a real clinic, under real pressure.
I loved mentoring newer associates. They were smart, compassionate, and eager - but they needed support on nearly every case. My days became a constant loop: see my own appointments, then pivot to review bloodwork, help build differentials, talk through diagnostics, tighten up treatment plans, and translate it all into language clients could actually understand. Mentorship became a full-time job layered on top of a full-time job.
And then something else became impossible to ignore.
For a while, our clinic had the same unspoken rule a lot of hospitals have right now: don't ask, don't tell about AI. No one officially banned it. No one officially approved it. But you could feel it - people were using it quietly, late in the day, usually alone, and usually with a little guilt attached.
What worried me wasn't AI. It was the silence around it.
One day a newer associate asked, "Can you take a second look at this bloodwork?" Normal request - except I realized they'd already asked an AI tool, then planned to check a textbook after lunch. Our "second opinion" process had quietly turned into a messy, invisible workflow: sometimes a senior doctor, sometimes the internet, sometimes AI, sometimes nobody - and then just worrying about it. Not because our doctors weren't capable, but because our process wasn't consistent.
So we did something that felt radical: we brought it into the light.
We wrote a simple rule on the whiteboard:
- You're allowed to use AI tools.
- You're expected to say when you do.
- If it influences care, we document how.
- And you never include identifiable client or patient details.
Then we added one line that changed everything: "Before you ask me, ask the tool - then we review it together."
That's when the real insight hit us. The problem wasn't "AI" or "new associates." The problem was the system we were all forced to work within: scattered histories, inconsistent documentation, missing details, constant interruptions, and no standardized way to teach clinical reasoning in the middle of a slammed schedule.
But when I walked new doctors through cases the same way every time - history, differentials, diagnostics, treatment, client communication - the medicine got better. More structured. More complete. More consistent. Confidence went up. Case quality went up. And patient care improved. Even for experienced clinicians.
So we built what we wished existed: a tool that turns that step-by-step thinking into an end-to-end case workflow.
Veterinary Sidekick is an AI-powered case management platform designed for real clinical practice. It helps teams gather cleaner histories, organize records, build thoughtful differentials, plan diagnostics, draft treatments, and produce clear, standardized summaries - then update everything as the case evolves.
It starts before the visit with a simple client intake flow:
- Pet & owner info
- Current symptoms and concerns
- Upload or add medical history
- Review & submit
From there, Veterinary Sidekick compiles what's scattered, summarizes what matters, and prepares the doctor with a clear medical snapshot. During the visit, it supports the full workflow: differential list, test recommendations, discussion points, initial plan - then when diagnostics come in, it helps interpret results, refresh rule-outs, and keep the plan aligned. Finally, it turns the visit into something every team needs and every veterinarian and client appreciates: a clean case report that's ready to share.
We didn't build Veterinary Sidekick to replace veterinarians.
We built it to protect what makes great veterinarians great - good reasoning, consistent medicine, clear communication - and make it easier to deliver that standard on your busiest days. It's mentorship that scales, structure that reduces chaos, and a shared clinical playbook your whole hospital can learn from.
