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Running a Startup With a Ticker Symbol

What’s Inside

  • LogicMark is rebuilding an old safety category with AI

  • The difference between reactive and predictive Health Technology

  • What startups can learn from public-company discipline

Most people still associate medical alert technology with a single moment of crisis. There’s a fall. And then a call for help.

Chia-Lin Simmons thinks that mindset is outdated.

In this episode of The Venture Variety Show, I spoke with Simmons, CEO of LogicMark, about what it takes to modernize a decades-old category and why AI in healthtech only works when it starts with human reality, not demos.

LogicMark is a public company that began in the classic “I’ve fallen and I can’t get up” business. Under Simmons’ leadership, it’s being rebuilt around connected devices, multi-sensor data and preventative care.

“If we do our jobs right as public company CEOs, we actually adopt some of the really positive natures of what it’s like to be in a startup,” Simmons said. “We’re like a startup with a ticker symbol. We run with the urgency of a startup and speed and decision, but we also have that extra layer of care and consideration that a big public company would have to take.”

From Reactive Alerts to Predictive Care

Simmons describes LogicMark’s shift as a move away from one-off emergency response toward understanding patterns, habits and risk before something goes wrong.

“That old school technology was reactive,” she said. “But people don’t want false positives. They don’t want to wear devices that don’t work when they need them the most.”

LogicMark uses multiple sensors and AI to learn individual behavior over time. The goal is not just to detect a fall, but to know when something of concern is taking place.

“Implementing cool tech without knowing what you’re trying to solve is burning cash,” Simmons said. “You can’t get enamored with the technology. You have to get enamored with the problem.”

The Human Impact

Our podcast conversation also got personal. Simmons talks openly about being part of the sandwich generation and why Caregiving is becoming one of the most under-discussed pressures facing families.

“Technology should help bring us closer together,” she said. “It should help us better take care of our loved ones and bridge that gap.”

With one in four Americans projected to be over 65 by 2040, and most wanting to age at home, Simmons sees the use of AI as assistive part of the healthcare infrastructure.

“This isn’t working against us,” she said. “It actually works for us. We’re assistive technology to help caretakers and those they Love.”

This is a conversation about AI without theater, healthtech without hype, and what it looks like to build responsibly at scale.

Watch or listen to the full episode on The Venture Variety Show, which is also available on YouTube, as well as Apple Podcasts and Spotify.

If this was useful, share it with a founder or operator thinking about AI, healthtech or building products for real human needs.

Alastair Goldfisher Independent Journalist

I’m an independent journalist and podcaster focused on startup and venture capital trends, as well as storytelling and how AI is reshaping business and work. I host "The Venture Variety Show" and "The AI Cognitive Shift" podcasts, and I write "The Venture Lens" newsletter on Substack and Medium. I’ve spent 30 years in business journalism, covering Silicon Valley and beyond for outlets like Venture Capital Journal, Reuters, PEHub and Silicon Valley Business Journal. Today, I also help founders and investors sharpen their stories through media training and content consulting. I live in the San Francisco Bay Area, stay curious about tech and people, and I always welcome a good conversation.

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