Born in AI Companies: The Current Wave of Innovation
- sheharav
- Apr 24
- 4 min read
We’ve had born in the cloud companies—businesses architected entirely for the cloud-native world. They reshaped infrastructure, cost models, and scalability.
Now, a new wave is rising: Born in AI companies. These are businesses that don’t just use AI—they were conceived through AI tools, built with AI, and run on AI-native foundations.
It’s a quiet but radical shift that’s changing what entrepreneurship looks like, who gets to participate, and how fast new ideas can reach the world.
🤖 What Does “Born in AI” Mean? “Born in AI” doesn’t just mean using AI. It means AI is embedded from the start—not bolted on later. These companies often:
• Started as a prompt: AI helped ideate the core business concept
• Validated the idea with AI: Market testing, customer personas, or mock-ups were generated by LLMs
• Use AI to build the business: From branding and content to sales, support, and legal
• Treat AI as a co-founder: Some founders openly refer to tools like ChatGPT as their “partner” in decision-making and creation
• Scale through AI: Operational agility is driven by agents and automation from day one
AI co-founders or side projects that became companies—many started with just a prompt. A weekend experiment. A chatbot that stuck. A product idea co-created with an LLM. And these aren’t confined to one vertical.
One example is Zenerate in the Architecture & Urban Planning space
Zenerate uses AI to analyse zoning codes and rapidly generate optimal building designs based on environmental, economic, and regulatory constraints.
I recently had the privilege of hearing Jamie Jeong, CTO and co-founder of Zenerate, speak about this shift firsthand.
“What’s the most valuable building we can put on this site?” That’s the question Zenerate Modular was built to answer.
Based in South Korea, Jamie Jeong is a seasoned machine learning scientist with a background in predictive modeling and recommendation systems from her time at Samsung Fire & Marine Insurance. Now at Zenerate, she leads the company’s mission to integrate AI into modular construction planning and real estate development.
Jamie also shared her personal philosophy of “Lifelong Motivation,” which guides her AI leadership:
Essence of Things — Driven by a fundamental curiosity to understand the core of our world
Essential vs. Peripheral — Distinguishing what truly matters from what is secondary or superficial
Absolute vs. Relative — Exploring the difference between unchanging truths and contextual realities
She reminded us that AI doesn’t replace talent—it amplifies it. They’re using AI to reshape the industry https://www.zenerate.ai/
🌐 Born in AI: Case Studies Across Industries Let’s look at other real examples of companies that could only exist in an AI-native world:
🧥 Fashion & Consumer Products: Mercer
Mercer is a fashion design and supply chain platform where designers can collaborate with AI from ideation to manufacturing. From AI-generated product mock-ups to streamlined production planning—AI is part of the creative process itself.https://www.mercer.design/
✍️ Creative & Content: Jasper & Copy.ai
Both Jasper and Copy.ai began with the insight that LLMs could democratize content creation. These companies made AI the core product and scaled everything—onboarding, customer support, even product updates—using AI behind the scenes.https://www.jasper.ai/ https://www.copy.ai/
🎮 Gaming: Latitude / AI Dungeon
Originally a text-based experiment, AI Dungeon was born from a simple prompt + GPT-2 and exploded into a collaborative storytelling engine. It’s an AI-assisted gaming and it’s AI-driven gaming. A creative experiment became a commercial company thanks to community, iteration, and generative AI.https://aidungeon.com/https://en.wikipedia.org/wiki/AI_Dungeon
🧠 SaaS: Regie.ai
Regie.ai creates sales content using AI. And more than that—it runs on AI:
• Persona building
• Campaign testing
• Email generation
• Content optimization
The team embraced AI from the first pitch to product delivery—and continues to expand its AI-first model as it scales.https://www.regie.ai/
🩺 Health & Wellness: HelloInside
Built around glucose monitoring and AI-powered personal health insights, HelloInside uses machine learning to give real-time feedback on your diet and habits. What makes it "Born in AI" is that AI powers the user experience, product recommendations, and outcomes.https://helloinside.com/en
💥 Why This Matters
Lowering the barrier to entrepreneurship
AI is enabling more people—from solo founders to students—to turn an idea into a business. You don’t need to know how to code, design, or pitch—you need vision and curiosity.
From MVP to PMF faster
AI helps companies move from prototype to product-market fit with more speed and less cost. That means more iteration, more learning, and more room for niche ideas to succeed.
Rethinking “co-founder” and “team”
Some companies were built almost entirely by one person using AI tools. Others treat AI as a full-time contributor—creative, analytical, and operational.
New business DNA
These aren’t just AI-enhanced companies. They are AI-native. Which means their cultures are more experimental, more automated, and often more inclusive—because the gatekeeping is reduced.
🌱 A New Type of Founder
The rise of AI-first businesses means the founder archetype is shifting. We’re seeing:
• Designers who prototype apps in GPT
• Creators launching games and merch through AI-powered platforms
• Educators turning prompts into curriculum startups
• Non-techies going from idea to MVP in a week
AI is no longer just a productivity tool—it’s a business creation engine.
✨ We’re building with AI and now we’re building because of it. The next generation of startups won’t just be AI-enhanced. They’ll be Born in AI—ideated, built, validated, and scaled with machine collaborators at their side.
✨ This is your invitation: If there’s an idea you’ve been holding onto, now is the time. Use the tools. Test the prompt. The future is here—and it’s ready to co-create with you.
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