Deep Tech Investor Predicts These 3 AI Startups Will Go Decacorn

  • Amir Khan is a deep tech investor who has known ChatGPT for 10 years.
  • He lists three startups he would have liked to invest in years ago.
  • Khan says that by 2030, the development of AI and machine learning technologies will be commonplace.

As a deep tech venture capitalist and Managing Partner of MARL Accelerator, I have reviewed over 5,000 start-ups and been exposed to the latest technological advancements over the past few years.

With the way technology is advancing, the things that exist today were once science fiction in the 80s and 90s. These technologies will continue to shape our world and improve our lives in ways we cannot. not yet imagine.

Amir Khan with his arms crossed

Amir Khan is the founder and CEO of MARL 5G Accelerator.

Amir Khan

By 2030, I believe there will be a significant increase in the development of artificial intelligence (AI) and machine learning (ML) technologies in the commercial sector.

One of the most notable advances is the rise of natural language processing technologies such as OpenAI ChatGPT and that of Google BARDwhich I have been for almost 10 years.

There are a few startups at the forefront of technology in their respective industries that I believe have the potential to be the decacorns – a company valued at over $100 billion – of this decade. I am not invested in any of these areas. I missed the boat, but if I had had the money years ago, I would have invested.


A health tech startup called ALL RIGHT, based in Paris, France, is working on building an AI model in partnership with top academic researchers and data scientists. By studying data from millions of patients, they hope to find patterns in disease diagnosis and develop new treatments tailored to each patient’s genetic makeup.

Because we rely on human doctors, there is a risk of misdiagnosis and mistreatment. This problem is close to my heart because I have often been misdiagnosed – and I am not the only one. According The Leapfrog Groupa national watchdog organization focused on health care safety, misdiagnoses contribute to 40,000 to 80,000 deaths annually in the United States, and more than 250,000 Americans experience misdiagnosis in hospitals.

Owkin began working on healthcare diagnostics in the mid-2000s, and they are ahead of the pack even though there is substantial research in this area.

Developing new technologies, like Owkin’s platform for medical research, can have downsides as well as upsides. On the one hand, Owkin’s platform can be affected by data bias, which means that the models created can be biased or incomplete, despite their efforts to use various data.

Additionally, only a limited number of researchers and institutions have access to Owkin’s platform, which could be costly, and regulatory and ethical challenges must be overcome to ensure data privacy, security, and compliance.

Owkin will need to operate transparently and ethically to address concerns around patient consent and transparency while navigating complex regulations.

2. Emotional

Motional is a Boston-based autonomous tech startup gaining momentum by successfully running the world’s first robotaxi pilot program. Motional a made more than 100,000 journeys in complete autonomy without any accident from 2021.

This success got Uber excited, leading to the announcement of a 10 year business partnership between the two companies to launch their fully autonomous robotaxi public service in Las Vegas, NV. This service follows the successful launch of self-driving deliveries with Uber Eats in Greater Los Angeles.

I grew up in India and self-driving seemed like a dream. If you’ve seen the old Batman movies, you know that self-driving vehicles were promised to us in the early 2000s. Even today, we’re not there yet — the technology isn’t fully developed. And I think the reason is that the car itself doesn’t have enough processing power. But I think the evolution of 5G technology could change that.

Motional is already operating successfully and securing partnerships. They have changed the game when it comes to marketing.

As amazing as Motional sounds are, there are some concerns that need to be addressed before the technology can be widely adopted. Security is one of the biggest concerns, although Motional’s technology has proven to be safe in testing. Driverless vehicles are also vulnerable to cyberattacks.

Cost is another concern, as Motional’s vehicles are currently expensive to produce and not yet affordable for most people. Finally, there are ethical concerns, such as who is responsible if a driverless vehicle causes an accident.

Although Motional has a lot of potential, these shortcomings need to be addressed before the technology can be widely adopted.


Do not eata New York-based startup, is also a company working to make our self-driving car dreams come true.

It is a market leader in dash cams and has a vision to create the world’s first “safe driving network”. They plan to create a hive mind by connecting all the dash cams already on the road to provide a single source of truth for events happening on the road.

So the car can see what the car in front of me sees, what the car behind me sees in a “hive mind”. Automotive network sensors simultaneously connect to a cloud to send and receive data. This is why Nexar will be able to succeed in cities. like New York and San Francisco, while vehicles like the Tesla tend to freeze in such areas.

The concerning points about Nexar’s self-driving technology are that it is still under development and not yet fully autonomous.

While Nexar’s dash cams can identify dangerous situations, they cannot drive the car autonomously. The technology is expensive and may have bugs that need to be fixed.

It is also important to check local regulations before using it, as its legality is not yet established in all jurisdictions.

AI will also change our lives in other areas

But I’m only scratching the surface of AI and machine learning capabilities and how they will transform our lives.

Their impact will go far beyond the health and transport sectors. For example, we are facing a huge climate crisis, and AI could be our last hope to reverse the effects of climate change.

Amir Khan is the founder and CEO of MARL 5G Accelerator. MARL 5G focuses on creating and connecting early stage investors, startup founders and venture capital teams in the areas of mobility, autonomy, robotics and logistics.

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