Demos
We’re excited to share that John Snow Labs has been named the winner of the Best Healthcare AI Application at the 2025 Global Generative AI Awards! The winners were announced this morning. 🏆✨
This honor recognizes our Generative AI Lab—a first-of-its-kind, no-code platform that puts the power of AI directly into the hands of healthcare domain experts. Doctors, researchers, and administrators alike can train, test, tune, and share AI models without needing to write a single line of code or rely on a team of data scientists.
In a world where large language models (LLMs) are redefining what’s possible, the Generative AI Lab stands out as the most widely adopted no-code solution for healthcare AI, with leading organizations like Roche, Memorial Sloan Kettering, McKesson, the VA, Merck, and DocuSign, among 1,000+ other deployments.
Innovation for Healthcare
Healthcare is one of the toughest industries for AI adoption. It’s highly regulated, deeply complex, and the cost of mistakes is high. That’s why the Generative AI Lab was built to be:
- Compliant by design with HIPAA, GDPR, and SOC 2 baked in.
- Transparent and auditable, so domain experts can see exactly how models are performing.
- Collaborative, with built-in workflows for teams to annotate, validate, and improve models together.
And with the release of Generative AI Lab 7.0, we’ve raised the bar even higher. The new update introduced powerful features like:
- Side-by-side LLM comparisons to evaluate output quality with precision.
- No-code auditing and tuning tools, critical for meeting today’s growing AI regulations.
- Structured scoring and annotation capabilities that let domain experts directly improve custom-built LLMs.
These aren’t just technical upgrades. They’re breakthroughs that let healthcare teams move from “AI experiments” to production-ready solutions they can trust. And those are just some of the reasons our nomination stood out to the judges.
Real-World Impact
What does this look like in practice?
- A clinician rapidly analyzing thousands of safety data sheets with regulatory-grade accuracy to identify risks.
- Pharma and academia accelerating real-world data by building high-accuracy patient registries from millions of patient notes.
- A hospital administrator creating auditable AI coding workflows without needing to code, reducing time and cost while improving patient care.
As one our customer, Vishnu Vettrivel, CEO of WiseCube AI put it:
“It’s utterly unique in combining three capabilities: starting quickly from existing AI models without coding, an easy-to-use interface for human-in-the-loop workflows, and a feedback loop that makes models better as you go. No other tool we’ve looked at comes close.”
Responsible at the Core
The Global Generative AI Awards don’t just assess the efficacy and impact of the solution, but also the ethical implications. At John Snow Labs, we believe AI should be safe, fair, and accurate. That’s why the Generative AI Lab integrates directly with LangTest, our framework for testing robustness, bias, fairness, and accuracy. Experts can design reusable test suites, compare multiple LLMs, and ensure every deployment meets the highest standards.
We’re also committed to sustainability and community: we’re carbon neutral, support the open-source ecosystem with tools like Spark NLP, and host the Applied AI Summit, the world’s largest gatherings of applied AI practitioners. There’s still time to join us for the free, online event taking place Oct. 14-16 – Register here!
Looking Ahead
Winning the Best Healthcare AI Application award is both an honor and a motivator for what’s next. We’ll continue scaling and improving the Generative AI Lab so healthcare experts everywhere can harness the power of responsible AI.
This recognition is proof that AI doesn’t just belong in the hands of data scientists, but the people working every day to improve care. We’re excited to be part of that mission.
