Legacy ML required a separate model for every data point. GPT-4 now reads unstructured records instantly, beating human accuracy.
A healthcare technology platform bridging the gap between clinical trials and patients by automating the complex screening process for medical providers.
Manual record evaluation created a bottleneck for providers, and a previous machine learning strategy failed to scale because it required building a...
“We deployed fine-tuned state-of-the-art healthcare models, which we then further optimized. You spend a lot of time, and you have to do everything use case by use case. You have to build, train, and validate a separate model for every piece of information.”
Clinical research platform connecting patients, providers, and trial sponsors.
AI research and deployment company developing generative models and tools.
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Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.