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Ana SayfaTechnologyLatest Tech NewsMira Murati’s AI Startup Reportedly Aiming for a Massive $2B Seed Round

Mira Murati’s AI Startup Reportedly Aiming for a Massive $2B Seed Round

Mira Murati, the former CTO of OpenAI, is reportedly preparing to launch a new AI venture—with a jaw-dropping $2 billion seed round in the works. What does this mean for the future of AI innovation and investment?

In a move that has sent shockwaves through the tech and investment worlds, Mira Murati—former Chief Technology Officer of OpenAI—has significantly raised the fundraising target for her new AI venture, Thinking Machines Lab. The startup is now reportedly seeking a colossal $2 billion in seed funding, far surpassing the scope of traditional early-stage investments and placing it among the largest seed rounds in startup history.

This audacious goal reflects not only the immense capital demands of developing frontier AI models but also the investor confidence Murati commands, thanks to her instrumental role in creating transformative AI systems at OpenAI. In a climate where AI is reshaping every industry, Murati’s new venture signals a bold vision for the future of intelligent systems.

Who Is Mira Murati?

Mira Murati stands among the most influential figures in artificial intelligence today. As the former CTO of OpenAI, she oversaw the teams that brought to life GPT-3, GPT-4, DALL·E, and ChatGPT—technologies that have since redefined productivity, creativity, and human-computer interaction.

Her exit from OpenAI in 2024 turned heads, but it didn’t take long for her next chapter to emerge. With Thinking Machines Lab, Murati is carving out a new space in the AI landscape—one focused on building models that are modular, customizable, ethically aligned, and designed to empower end users and enterprises alike.

Read more via Business Insider

Inside Thinking Machines Lab

Though still in its formative stages, Thinking Machines Lab already boasts a stellar founding team drawn from the elite ranks of OpenAI and other top research institutions:

  • Bob McGrew, former Chief Research Officer at OpenAI
  • Alec Radford, a key contributor to GPT and DALL·E
  • John Schulman, one of the original minds behind ChatGPT
  • Jonathan Lachman, former Head of Special Projects at OpenAI
  • Barret Zoph, known for pioneering work in neural architecture search
  • Alexander Kirillov, noted for advancements in multimodal AI and voice interaction

This elite ensemble of researchers and engineers helped shape the foundation of today’s generative AI. Now, they are reuniting to build something entirely new. Thinking Machines Lab aims to be both a research powerhouse and a product-driven company, working at the intersection of cutting-edge science and real-world usability.

Though its first product has yet to be announced, the team’s depth of experience and talent has already drawn high-profile attention from investors seeking to back the next wave of AI disruption.

Her reported $2B seed round would be one of the largest in startup history—signaling massive confidence in AI’s next wave.
Her reported $2B seed round would be one of the largest in startup history—signaling massive confidence in AI’s next wave.

The $2 Billion Seed Round

According to Business Insider, the company originally aimed to raise $1 billion—but overwhelming investor interest and growing ambition have pushed that target to $2 billion. If successful, this would make Thinking Machines Lab one of the most well-capitalized AI startups at the seed stage, rivaling even the largest early-stage raises by companies like Anthropic and xAI.

The need for such vast funding reflects the steep costs associated with training large language models, securing compute power, building robust infrastructure, and hiring elite talent. It also underscores the increasing importance of scale in building foundational models capable of competing with those developed by OpenAI, Google DeepMind, or Meta.

With a potential post-money valuation exceeding $10 billion, the company is entering rarefied air before even launching a product.

Why Thinking Machines Lab Could Redefine the AI Landscape

The current AI space is crowded with well-funded competitors, yet Thinking Machines Lab offers a differentiated approach. Murati and her team aim to create systems that are not just powerful but also intuitive, secure, and adaptable to varied use cases across industries.

Their focus on user alignment—making AI that responds to real-world human values and needs—may prove to be a critical differentiator in a market increasingly concerned with safety, interpretability, and long-term societal impact.

In addition, the ability to fine-tune and customize models for specific verticals could give Thinking Machines Lab an edge with enterprise clients in sectors like healthcare, finance, and education.

The Global and Strategic Context

Thinking Machines Lab is rising at a time when AI regulation is accelerating around the world. With the EU’s Digital Markets Act and AI Act, as well as increasing scrutiny in the U.S., startups that embed governance, transparency, and safety into their development pipelines will have a competitive edge.

Murati’s track record of championing ethical AI and practical applications positions her startup well in this context. While rivals like OpenAI and Google continue to scale aggressively, Thinking Machines Lab is likely to attract support from partners looking for ethical, open, and flexible AI solutions.

A Broader Industry Signal

This historic fundraising goal also reflects a broader trend in the tech sector: the rise of talent-led startups. Increasingly, top researchers and engineers are leaving big tech to start their own ventures—backed by record-setting investments and the belief that smaller, more focused teams can innovate faster and more freely.

Thinking Machines Lab exemplifies this trend. It’s a story not just of capital and competition, but of independence and imagination. It’s a signal that the next generation of AI breakthroughs may come from tightly aligned, visionary teams rather than sprawling tech conglomerates.

Conclusion

Thinking Machines Lab is poised to make an outsized impact in the world of artificial intelligence. Led by one of the field’s most accomplished executives and backed by a cohort of elite researchers, the startup is aiming high—and attracting attention across Silicon Valley and beyond.

With a $2 billion funding target and a mission to build AI that’s transparent, customizable, and beneficial, the company is not just chasing scale. It’s trying to redefine what responsible, future-ready AI can look like.

Whether it becomes the next OpenAI or charts a new course entirely, Mira Murati’s latest venture is already reshaping expectations for what a seed-stage startup can be—and what AI’s next chapter might hold.

Stay tuned. This is only the beginning.

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