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AI is becoming faster and more powerful every day. But to date, machines still struggle to think and adapt like humans. Computers are great at following instructions but lack the flexibility and instincts that come naturally to people.
This is why many companies are trying to build systems inspired by the human brain. Instead of just copying what humans do, they want machines to process information the way we do, i.e., by learning, reacting, and improving over time. Technologies like brain-computer interfaces (BCIs), sensory devices, and brain-like chips are moving from labs into real life.
Several companies are combining neuroscience, machine learning, and engineering in practical ways. Whether it’s helping people regain lost senses, enabling direct communication between brain and machine, or creating smarter control systems, these companies are turning complex science into real-world solutions. Here’s a look at some of the companies making real progress in this space.
BrainChip
CEO: Sean Hehir
Paradromics
Founders: Matt Angle
Blackrock Neurotech
Founders: Marcus Gerhardt and Florian Solzbacher
Kernel
Founders: Bryan Johnson
EMOTIV
Founders: Tan Le
Precision Neuroscience
Founders: Benjamin Rapoport, Michael Mager, Demetrios Papageorgiou, and Mark Hettick
Cognixion
Founders: Andreas Forsland
Neosensory, Inc.
Founders: David Eagleman and Scott Novich
Neurolutions
Founders: Daniel Moran and Eric Leuthardt
OpenBCI
Founders: Joel Murphy and Conor Russomanno
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10 Companies Building Brain-Like Systems for Smarter Machines
Several companies are combining neuroscience, machine learning, and engineering in practical ways to create systems that process information like the human brain.

Thanks tothemoon.
BrainChip
CEO: Sean HehirBrainChip is developing neuromorphic processor chips that function more like a human brain than a traditional computer. Its flagship product, Akida™, uses neuromorphic principles to process sensor data with exceptional efficiency, precision, and low energy consumption. Akida enables edge learning directly on the chip, eliminating the need for cloud processing and dramatically reducing latency while improving data privacy and security. This technology is designed to handle real-world applications, such as connected cars and industrial IoT, where AI processing at the edge is becoming increasingly essential.
Not exactly deep analysis but good to get a mention, and we are the 1st company on the list.
Any press is good press.