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AI agents to enroll providers with payors
Simplex builds AI agents to handle provider enrollment end-to-end. We automate pulling provider data from CAQH, filling out enrollment forms + uploading licenses via payor portals/email/phone, updating applications when returned for corrections, and performing effective date follow-ups until a final determination is made, all autonomously.
Shreya is the co-founder and CEO of Simplex. She holds a BS and MEng in Electrical Engineering and Computer Science from MIT. She previously built software at Tesla and researched dexterous robotic manipulation at MIT.
Marco is the co-founder and CTO of Simplex. He holds a BS and MEng in Computer Science from MIT. He previously built machine learning models to generate synthetic data at Waymo and built data infrastructure tooling at Viam and Bloomberg.
Receive millions of high quality images and labels for training your AI models.
Simplex provides photorealistic, labeled datasets generated from 3D scenes for AI model training, offering semantic segmentation, captions, LiDAR, depth maps, and bounding boxes. Interested teams fill a short data request form to receive large volumes of varied images and labels, then review samples before downloading the complete dataset.
Formerly “Pansimulate” · why startups rename →
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