Artificial General Intelligence (AGI) aims to develop AI systems with human-like reasoning and problem-solving capabilities across diverse domains, unlike narrow AI designed for specific tasks.
The AGI market, valued at
$2.15
billion in 2022, is projected to reach $27.47 billion by 2030, growing at a CAGR of
37.5%
. This growth is driven by the demand for cognitive computing and intelligent automation, with significant investments from tech companies and startups. These startups are pioneering innovative approaches, such as neuroscience-inspired architectures and large language models, to achieve human-level intelligence in machines.
Here are five startups investing in AGI research in the U.S :
Imbue
Founded by
Kanjun Qiu
and
Josh Albrecht
,
Imbue is investing heavily in AGI research through a comprehensive strategy that includes significant funding, a full-stack approach to AI development, and a focus on robust reasoning and coding capabilities. The company has raised a
$200
million Series B round, with notable investors such as the Astera Institute and NVIDIA.
Imbue trains large language models (over 100 billion parameters) designed to excel in reasoning tasks. They prototype experimental AI agents, starting with those that can code, and build advanced tools and infrastructure to accelerate their research. Additionally, Imbue explores new interfaces to enhance human-AI collaboration and conducts theoretical research to understand the core mechanisms of deep learning, all aime
Numenta
Co-founded by Jeff Hawkins and
Subutai Ahmad
as CEO, Numenta is investing in AGI (Artificial General Intelligence) research through a unique neuroscience-inspired approach called the Thousand Brains Theory of Intelligence. They are developing computational models that aim to replicate the functionality of the neocortex, the part of the brain most associated with intelligence. Numenta’s core technology is the Hierarchical Temporal Memory (HTM) theory, which models the structural and algorithmic properties of the neocortex to create AI systems that can learn continuously from data streams and exhibit human-like intelligence.
They collaborate with partners like Intel to drive advancements in AI and have developed techniques that significantly boost performance for long sequence length tasks on Intel CPUs. Numenta’s investment in AGI research is centered around their neuroscience-based theories, computational modeling of brain structures, and the development of the HTM theory and NuPIC platform for CPU-based deployment of large AI models.
Munjal Shah
as Co-Founder and CEO, Hippocratic AI is investing in AGI research with a focus on developing the safest artificial Health General Intelligence (HGI) to improve healthcare accessibility and outcomes. The company has raised a total of
$120
million in funding, including a
$53
million Series A round, to support its mission. Hippocratic AI is building a safety-focused Large Language Model (LLM) specifically for healthcare applications, aiming to address the global shortage of healthcare professionals by creating generative AI agents capable of performing low-risk, non-diagnostic, patient-facing tasks.
These agents are designed to handle tasks such as chronic care management, post-discharge follow-up, wellness surveys, and pre-operative outreach. The company emphasizes safety and responsibility, incorporating professional-grade certification, reinforcement learning from human feedback (RLHF), and empathetic interactions into their models. Hippocratic AI collaborates with healthcare organizations and technology partners like NVIDIA to ensure their AI systems are effective and safe for real-world deployment.
Adept
David Luan
as the Co-Founder and CEO, Adept AI is investing in AGI research through a multifaceted approach that includes significant funding, innovative product development, and a human-centric vision. The company has raised
$350
million in Series B funding, led by General Catalyst and Spark Capital, to support productization, model training, and headcount growth. Adept AI is developing a new kind of foundation model, ACT-1, which can perform actions on any software tool using natural language.
This model is designed to interpret high-level user requests and execute complex software workflows, effectively acting as an AI teammate for knowledge workers. The company’s approach emphasizes collaboration between humans and machines, aiming to enhance productivity and creativity by enabling users to interact with their computers via natural language interfaces. Adept AI’s research is guided by the goal of building responsible, human-centered AI systems that can understand and act on behalf of users, leveraging advancements in program synthesis and the Transformer architecture.
exaBITS.ai
Founded by
Hoansoo Lee
and Zachary Bright, exaBITS.ai is investing in AGI research by building a decentralized, globally distributed computing power network using GPUs, which provides affordable and scalable computing resources essential for AGI development. Their platform aggregates over
65,000 GPUs
, including high-end models like NVIDIA’s H100 and DGX B200 systems, offering up to 80% cost savings compared to traditional cloud services like AWS.
This infrastructure supports the AI industry by making computing resources more accessible and cost-effective, thereby enabling researchers and organizations to conduct extensive AGI research without the prohibitive costs typically associated with high-performance computing. By tokenizing GPU power, exaBITS.ai also allows users to participate in the AI compute economy, further democratizing access to the computational resources necessary for advancing AGI
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