We are proud to share that Doximity Ask outperformed OpenEvidence, GPT-5.6 Sol, Claude Fable 5, and other leading frontier AI models.

Today, @Doximity's AI team is open-sourcing mvcc, a compiler and runtime that build and run CUDA C++ on Apple silicon GPUs. Point nvcc or CMake at it and your CUDA code runs on a Mac, with no NVIDIA toolkit, driver or GPU involved. Apache 2.0. github.com/doximity/mvcc

Another epic Rails World in the books. Nearly 1100 people! Austin did not disappoint, neither did the content. Amazing work @AmandaBPerino and team as well as all the speakers who put in a ton of time to make this event a delight. I really enjoyed @robbyrussell, @flavorjones, and @ryan_sherlock talks. As expected @dhh did not mince words, and the message of optimism for the future echoed loudly around the entire venue. See you all in Lisbon 🇵🇹 next year.

Migrating a production iOS surface to SwiftUI is easy to describe and harder to execute. Here's how the Doximity’s iOS team approached the migration incrementally, kept feature development moving, and reduced risk along the way. technology.doximity.com/arti… #SwiftUI #iOSDev #Engineering

We continue to lead, now with 165 Health Systems leveraging the @Doximity Clinical AI Suite.

Batch snapshots worked—until “fresh enough” stopped being enough. Here’s how we moved toward near-real-time data, the tradeoffs we faced, and what we learned along the way. technology.doximity.com/arti…

As a patient, I wouldn’t settle for the fourth-best answer. Doximity Ask outperformed OpenEvidence, GPT-5.6 Sol, Claude Fable 5, and other frontier AI models in a published study led by physician-researchers from Stanford Medicine and Harvard Medical School. blog.doximity.com/articles/d…

The loudest claims in Medical AI may sound impressive: perfect scores, zero hallucinations, systems that always know when to decline. Proving those claims is much harder. 𝗜𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝘁𝗵𝗲 𝘀𝘁𝗮𝗸𝗲𝘀 𝗮𝗿𝗲𝗻'𝘁 𝘁𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹. 𝗥𝗲𝗮𝗹 𝗽𝗮𝘁𝗶𝗲𝗻𝘁𝘀 𝘀𝗶𝘁 𝗱𝗼𝘄𝗻𝘀𝘁𝗿𝗲𝗮𝗺 𝗼𝗳 𝗲𝘃𝗲𝗿𝘆 𝗮𝗻𝘀𝘄𝗲𝗿. That's why we owe physicians more than impressive metrics, we owe them rigorous evidence and an honest account of what the system can and cannot do. 🧵First in a series of articles about how Doximity Ask works under the hood.

Clinical AI reliability is paramount. We share a look under the hood to see how Doximity Ask works to make answers useful in real-world care.

The bug looked harmless: a memoized Redis lookup. The profiler told a different story: 45,000 unnecessary fetches. Here’s how one production profile turned a “slow” Sidekiq job into a 6x faster one. technology.doximity.com/arti…

Moving an agent from demo to production isn't a model problem, it's a systems problem. Context, retrieval, tool design, permissions, observability. The model is just one component in the chain. technology.doximity.com/arti…

Prescribing medicine is one of the most routine things physicians do, yet It’s also one of the most fragmented. Write the script → Wait for pharmacy callbacks → Coverage issues → Patients surprised by costs at pickup → Try again! Today we’re launching 𝗗𝗼𝘅𝗶𝗺𝗶𝘁𝘆 𝗣𝗿𝗲𝘀𝗰𝗿𝗶𝗯𝗲 where a Physician writes the prescription. Patient gets a text, they pick their pharmacy. Done! Works on any device. Free for verified U.S. physicians, NPs, and PAs. Built in partnership with @photonhealth. The visit. The note. The clinical question. The prescription. One place, one workflow, all inside the Doximity app you already love.

Choosing the right data tool doesn’t mean picking just one. At Doximity, we combine LLMs, ML, and statistics to unlock more accurate, transparent, and impactful solutions. technology.doximity.com/arti…

At @austio36's #RailsWorld talk, he'll share how @doximity_tech replaced a slow, pricey analytics vendor with a custom-built Rails pipeline, scaling to 3,000 events/sec, cutting latency from hours to seconds, and saving hundreds of thousands annually. Ditch vendor lock-in! rubyonrails.org/world/2025/d…

At Doximity, we’re driven by purpose, collaboration, and the energy of a team that believes in making a difference for doctors. 🚀 Whether working independently or coming together, we thrive on curiosity and innovation. And when we meet in person? The energy is electric. ⚡

We are so proud to be on @rails!

Ever wondered what it's like to balance coding and team leadership? At Doximity, our data managers do just that—working with data, cultivating teams, and building strategies without the 80-hour workweeks. We’re also hiring for this dream role! technology.doximity.com/arti…

We recently sponsored @tropical_rb and @railsgirlssp , fostering growth and diversity in tech. 🌐 Highlights include keynotes from Rails core team members, upcoming Rails 8 features, and empowering women in software development. technology.doximity.com/arti…

📱💡 Learn how our team is simplifying Android deeplink management using annotations and a dynamic routing system. A huge shoutout to our dedicated developers for continually innovating our app's navigation capabilities. technology.doximity.com/arti…