To fully realize the potential of our startup ecosystem, we must dismantle the barriers that hinder underrepresented founders and ensure that entrepreneurship truly reflects the diversity of our society.

Innovation can and should be accessible to all.

After witnessing the 2022 baby formula crisis, founder and CEO Annie Lu joined her brother in starting their Physical AI company, Laminar.

They help process manufacturers ensure sustainable production of their products through real-time chemical data from their sensors and AI models they’ve created.

We sat down with Annie to discuss her company, the importance of protective patents, and Laminar’s emphasis on providing sustainable processes to customers.

Learn more: engine.is/news/startupse…

Startups want to “chomp” away at creating novel products with AI, but navigating the maze of innovation increasingly involves dodging “ghosts” of legal threats, an ever-growing pile of regulatory proposals, and practical challenges. 🎃🧵

Many of those proposals have been developed with the largest companies in mind, but overinclusive frameworks mean the burdens are likely to fall hardest upon startups.

Policymakers need to recognize startup realities, or we’ll end up with policies that devour innovation.

Startups are building innovative new services with AI, but lawmakers can only take into account the potential impacts on services they know about.

The good news is, startups can help inform AI policymaking by sharing their perspectives with policymakers.

What does copyright law have to do with the future of AI?

Quite a bit, actually.

With AI companies facing a growing number of copyright lawsuits, courts are being asked to determine how longstanding copyright protections and the fair use doctrine apply to AI development.

Most startups aren't developing large AI models from scratch.

They're building products using existing models, meaning the outcomes of these cases could affect the cost, quality, and availability of models startups depend on.

In Part 3 of our AI and copyright series, we're breaking down what these costs would mean for startups and what's at stake for competition across the AI ecosystem.

Read our new report here: engine.is/s/AI-Copyright…

Deepak Arora, MBA founded Wearable Technologies Inc. (Wear-Tech) in the wake of a family tragedy.

In researching prevention, he learned that certain age groups are underserved by current life-sign monitoring infrastructure.

Deepak is working to solve that with his next-gen wearable smartwatches. We sat down with Deepak to talk about his company, the state of the patent application process, and more.

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DraftyAI builds research and drafting software for immigration attorneys, turning their evidence and case information into complete legal briefs, including exhibit lists.

We sat down with co-founder and CEO Nadine Navarro to discuss her path from running a solo immigration practice to building legal tech.

draftyai.com

We also discussed the AI and data privacy questions facing startups that handle sensitive client information, and what U.S. immigration policy means for startups, as well as international talent.

Learn more: engine.is/news/startupse…