Last year, I made a bet that changed how I think about how to navigate the fda approval process for. Here's what happened.
I've got the scar tissue to prove it. A decade in the Valley, with a focus on healthcare AI, has taught me a few things. Here are the lessons from my wins, my (many) failures, and what I'm investing in now.
What I've Learned From 28 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with how to navigate the fda approval process for.
The biggest misconception is that you need to customer feedback is the only metric that matters. That's backwards. The companies that win are the ones that your team matters more than your technology.
I remember sitting with the Anthropic team early on and discussing how they thought about how to navigate the fda approval process for. Their approach was counterintuitive but brilliant.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to how to navigate the fda approval process for are fundamentally flawed. Not slightly off. Fundamentally flawed.
The root cause is usually one of three things:
- Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
- Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
- Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
The Counterintuitive Truth
Here's what surprised me most about how to navigate the fda approval process for: the best practitioners do less, not more.
When I was building MovieLaLa, we tried to do everything at once. We had the best technology, the smartest team, and we still almost failed because we spread ourselves too thin.
The lesson I took from that experience, and from watching hundreds of other companies, is that your team matters more than your technology. It sounds simple. It's incredibly hard to execute.
Lessons From the Trenches
I want to share a few specific lessons I've picked up over the years. These aren't theoretical. They come from real companies, real failures, and real successes.
Lesson 1: The best time to start thinking about how to navigate the fda approval process for was yesterday. The second best time is now. Don't wait until you have the perfect plan.
Lesson 2: Hire for attitude, train for skill. The best how to navigate the fda approval process for practitioners I've met weren't the most technically gifted. They were the most curious and persistent.
Lesson 3: Your competitors are probably getting this wrong too. That's your opportunity. While everyone else is following the same playbook, you can zig when they zag.
This connects to broader themes around AI mental health, AI radiology, healthcare automation, medical AI that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But here's the thing about how to navigate the fda approval process for: you don't need to get everything right on day one. You just need to get started and keep improving.
The founders in my portfolio who excel at how to navigate the fda approval process for share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
How long does it take to navigate the fda approval process for your medical ai (the 2026 playbook)?
The timeline varies depending on your starting point and resources. For most founders, expect 2-4 weeks for initial setup and 2-3 months to see meaningful results. I've seen teams move faster when they focus on one thing at a time rather than trying to do everything at once.
What are the most common mistakes when navigating the fda approval process for your medical ai (the 2026 playbook)?
The biggest mistake I see is overcomplicating things early on. Start with the simplest version that works, get real feedback, and iterate from there. Another common trap is copying what worked for someone else without understanding the context behind their decisions.
How do I measure success with this approach?
Pick one or two metrics that directly tie to your goal and track them weekly. Vanity metrics like page views or follower counts rarely matter. Focus on metrics that reflect real engagement or revenue impact.