Adonis Raises $40M Series C to Automate Healthcare Revenue Cycle Operations

Denied claims don’t make noise. They just sit there, quietly draining margin while teams chase explanations that never quite land. Most organizations learn to manage the drag. Akash Magoon and Aman Magoon decided to remove it.

Adonis just pulled in $40M in Series C funding, led by Quadrille Capital, with General Catalyst and Bling Capital doubling down like they’ve seen this movie before and already know how it ends. That brings the total to over $95M. Not bad for a company founded in 2022 that chose one of the most tangled, paperwork-heavy corners of the economy and said, yeah, we’ll clean that up.

Akash Magoon, serving as CEO, and Aman Magoon, driving product, didn’t build another dashboard to admire the problem. They built an AI orchestration layer that actually moves the money. Not suggests. Not flags. Moves. In a system where revenue cycle management often feels like chasing ghosts with spreadsheets, Adonis is turning on the lights and charging rent.

The numbers start to whisper before they start to shout. More than 4x revenue growth in 2025. Net revenue retention north of 130%. That’s not just adoption, that’s dependency. That’s customers saying, “whatever this is, don’t unplug it.” Because when AI agents are catching revenue leakage before it slips through the cracks, finance teams stop playing defense and start calling plays.

Quadrille Capital leading this round signals something bigger than capital. It’s conviction that healthcare’s financial backbone is ready for automation that actually executes. General Catalyst and Bling Capital returning tells you the early bet wasn’t luck, it was pattern recognition. Follow the investors who come back with more money, not just more opinions.

Adonis leans into its name without trying too hard. In a space where revenue cycles can feel chaotic and, frankly, a little tragic, they’re injecting order, precision, and a bit of audacity. Turning a reactive system into something closer to orchestration, where every claim, every code, every payment has a place and a purpose.

The takeaway for builders is simple, but not easy. Pick a problem where inefficiency is so normalized people stop questioning it. Then build something that doesn’t just analyze the mess but has the authority to fix it. Healthcare didn’t need another observer. It needed an operator.