Akash Magoon

The through-line

Everything Akash Magoon says circles back to one conviction: the money side of healthcare is a data problem, not a paperwork problem, and solving it is what frees clinicians to do clinical work. Adonis exists "to maximize uh Revenue outcomes for medical providers so that they can focus on providing the highest form of clinical care" [1], and the company's stated ambition is to strip enough friction out of billing that the experience resembles Stripe rather than what providers and patients face today [7]. The insight arrived by accident. He and his brother and co-founder were building a benefits business, "a turbox style product for open enrollment," helping Americans choose between "medical plans dental plans life insurance HSA," when they realised open enrollment "wasn't the only challenge that patients have when patients have to actually go through procedures uh and get care the building process can be quite overwhelming" [1][5]. Adonis is the answer to the second half of that problem, automating end-to-end medical billing and claim submission so providers get paid [1].

The second through-line is temperament rather than sector: bias to action, tested cheaply, over deliberation. Whether the subject is recruiting, product, or fundraising, his instinct is to move fast, prove it in the market, and earn the right to spend.

On why the revenue cycle is worth attacking

The case he and his brother make for the category is a cost-of-collection argument: roughly one in seven dollars of the $4.3 trillion spent on healthcare goes to the cost of collecting revenue, and the goal is to lift net collection rates while lowering that cost [4]. The pain became legible to him personally, going through the health system himself and asking doctors what was hurting, which is where he concluded the underlying issue was a data problem [9]. Adonis now builds software that helps medical practices of every size collect revenue from insurance companies [9], monitoring and automating the revenue cycle with AI [5]. He has also argued that the healthcare space has changed materially over the past decade and that founders need a deliberate approach to entering a market once the low hanging fruit has been taken [7], and that the proliferation of best-of-breed point solutions has shifted the burden of integration onto the end user, inside an ecosystem whose incentives are misaligned [7].

On recruiting for grit over pedigree

Recruiting is the part of the job he most enjoys, and his view of it changed between companies. As a first-time founder he chased résumés: "we were always looking to recruit for people that had been in our space for a long time that had the biggest like gold medals on their resume uh but we found that um that's not always the the best person to bring on to the team" [1]. What actually correlated with top performance at both companies was "the person with like the most chip on their shoulder uh very tenacious and and have a lot of grit and tenacity not the person that necessarily has the most amount of experience" [1]. He puts the trade in sporting terms: "I'd rather go and find the next Rookie of the Year as oppos as opposed to the person that's won five Super Bowls before" [1].

On the fastest path to an MVP

The advice he gives aspiring founders most often is to find the fastest route to a minimum viable product and put it in front of the market [1]. The enemy is deliberation: "one of the challenges that most ambitious people have is that they they stick in their head a lot and they have ideas but they have maybe analysis paralysis to actually go and Embark in that journey" [1]. His own habit is to build a scrappy prototype and test it immediately, because the downside is bounded and the upside is real information: "if you build that prototype in 3 days and you go ask the market for feedback they'll e they'll either say it's it's not good and in that case you only wasted 3 days or they'll say it's great and you can go and build your prototype from scratch" [1]. The alternative he rejects explicitly is "building a uh a first version of the software in a garage for 3 months" [1]. A related move at the commercial end: a diagnostic makes an ideal opening to a client relationship, because it surfaces the customer's most pressing problems [7].

On defensibility and going to market

He frames early-stage strategy as a question of defence. Adonis competes on giving a distinctive experience and holding the most current knowledge in its field, with the explicit aim of being replaceable by no competitor, and he urges early-stage companies to ask what their defence is against larger corporate incumbents [9]. Timing the customer matters as much as the product: founders need to know whether their market is in a build cycle or a buy cycle [7]. On distribution, Adonis shifted from leaning heavily on word of mouth and referrals to an inbound motion on its website, with events driving the traffic, and reached roughly 5% market share within a year [9]. On capital, his position is that startups should earn the burn before they raise [7], a discipline that sits alongside the $150M-plus he has raised across Adonis and Nayya [5].

On the founder's environment: co-founders, community, and geography

Building a company is, in his description, "a lonely Journey where you might have a team under you but you often times only share the biggest challenges that you have with folks that are investors or friends that are in your shoes" [1]. Two things offset that. One is the co-founder relationship, which in his case is also a sibling relationship, and which he treats as the thing that sets the standard for candour across the whole startup [7][4]. The other is peer density. He is direct that geography used to work against him: "10 years ago building a startup in New York City was actually really hard U most of the resources and the capital and the talent I felt was in the west coast" [1], and that establishing a strong New York presence has been valuable to him as a second-time founder [1]. What he values in an investor base is breadth rather than thesis purity, since "sister companies that are in different stages of their company in different categories" let him learn how others approach "going to Market... product development... team building" and put himself in their shoes [1].

On recognising the operators inside the revenue cycle

Adonis has also turned outward to the practitioners in its market, launching the inaugural RCM25 Awards and naming 75 leaders and teams in revenue cycle management, selected on innovation, RCM performance, use of technology, and strategic process [2][3]. It is a consistent extension of the company's argument that the revenue cycle is a discipline with real craft in it, not a back-office afterthought. He has separately taken part in wider conversations about what it takes to build and scale a modern healthcare startup in 2025, alongside another healthtech founder [6][8].

Takeaways

• Adonis exists to "maximize uh Revenue outcomes for medical providers so that they can focus on providing the highest form of clinical care," automating end-to-end billing and claim submission [1].
• The market thesis in one number: about one in seven dollars of the $4.3 trillion US healthcare spend goes to the cost of collecting revenue [4].
• Hire for chip-on-the-shoulder tenacity, not credentials: "I'd rather go and find the next Rookie of the Year as oppos as opposed to the person that's won five Super Bowls before" [1].
• Beat analysis paralysis with a three-day prototype tested on real customers rather than three months of building in a garage [1].
• Ask early what your defence is against larger corporate competitors, and know whether your market is in a build or a buy cycle [9][7].
• Earn the burn before raising, and open client relationships with a diagnostic that surfaces their most pressing problems [7].
• Adonis moved from word-of-mouth and referrals to event-driven inbound, reaching roughly 5% market share within a year [9].
• Founder peer networks matter because the job is lonely, and portfolio breadth across stages and categories teaches more than thematic depth [1].