Editor’s note: this post announced the MAEA closed beta in May 2025. To see MAEA today, book a demo.
Say hello to MAEA
If you’ve ever tried to build a clinically-robust AI model, you know the pain points: endless data wrangling, GPU bills that blow the budget, and weeks of compliance paperwork just to reach a prototype. The traditional pipeline is slow, costly, and brutally complex – and in healthcare, delays and overruns don’t just hurt margins; they delay better patient outcomes.
MAEA turns that pipeline on its head
- Upload your imaging, genomic, or sensor data.
- Describe your objective in plain language – “Detect early-stage lung nodules,” “Predict brain age from MRI,” you name it.
- Launch. MAEA automatically annotates, selects the best architectures, tunes hyper-parameters, validates, and deploys the model to a secure endpoint.
From raw data to a deployed model in one workflow – no code, no DevOps, and no large consulting bill. The impact is already tangible. Researchers at Tohoku University Hospital cut their development timeline by 90 % while creating a brain-age prediction model that previously took an entire quarter to prototype. That’s time they can now devote to new hypotheses, publications, and ultimately, better care.
Today, we’re opening a limited Closed Beta for visionary health-tech teams who want to:
- Slash AI development costs.
- Keep data safely inside their own environment.
- Keep the records that SaMD and PMDA submissions need.
Book a demo: https://calendly.com/modastera/maea-demo
Let’s build medical innovation at the speed of thought. Welcome to the future of AI in healthcare.
