The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Neuronspike
Boston, United States
B
1-10 Employees
-
Key takeaway
Neuronspike Technologies is focused on developing hardware-aware Artificial General Intelligence (AGI) through brain-inspired AI models and chipsets. Their innovative approach enables the deployment of powerful AI models at edge devices, potentially enhancing computational efficiency and performance.
Reference
Core business
Unified AI-as-a-service platform - NeuronSpike | New York
Neuronspike is technology company developing hardware-aware general artificial intelligence platform with the brain-inspired knowledge engines.
BrainChip
Aliso Viejo, United States
B
11-50 Employees
2006
Key takeaway
BrainChip is a leader in edge AI on-chip processing, focusing on making devices AI-smart through innovative technologies like event-based processing and on-chip learning. Their approach brings common sense to sensor data processing, enabling machines to make inferences more efficiently.
Reference
Product
Technology - BrainChip
Explore all the incredible technology Brainchip has to offer!
Numenta
Temecula, United States
B
11-50 Employees
2005
Key takeaway
Numenta focuses on understanding the brain and applying that knowledge to AI through its Thousand Brains Theory of Intelligence, which aligns with the principles of neuromorphic computing. Their technologies, optimized for Intel CPUs, enable significant performance improvements for AI applications, particularly in long sequence tasks, reflecting a commitment to developing brain-inspired intelligent systems that learn and adapt autonomously.
Reference
Core business
Home | Numenta
Powerful, scalable, neuroscience-based AI solutions
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
NovuMind
United States
B
11-50 Employees
2015
Key takeaway
NovuMind is at the forefront of neuromorphic computing with its NovuTensor chip, which performs tensor computation efficiently, addressing the high computational power demands of AI inference applications. Their innovative hardware architecture and domain-specific design enable real-time deployment of neural network models, making advanced AI capabilities more accessible and practical for various industries.
Reference
Core business
Company - Novumind
NovuMind helps companies put the power of AI in their products and services. Our NovuTensor chip is an industry first, performing tensor computation at the speed of silicon and providing breakthrough performance-to-power ratios. Our full stack of deep learning tools makes it easy to use NovuTensor in a range of applications, from embedded to cloud. AI will transform many industries, from healthcare to transportation. But there have been barriers to widespread adoption. One has been the computational power demanded by deep learning deployment. Once a neural network model has been trained, it is deployed in an end-user application where it provides “inference” intelligence, such as real-time object detection in video. Running the deployed model in real-time is computationally intensive. This becomes a stumbling block if the app must run in a device with a limited power budget. An alternative may be to rely on computational acceleration in the cloud, but scaling that to support large numbers of users may also be a challenge. Power and cooling requirements can make it prohibitive to operate inference acceleration at large scale in the data center, with traditional CPU/GPU-based approaches. Another barrier has been the lack of AI expertise. Few companies have the luxury of an in-house…More DetailsCompany
Neuro Inc.
San Francisco, United States
B
11-50 Employees
2019
Key takeaway
Neuro specializes in enterprise AI transformation, offering custom solutions and a robust MLOps platform that automates machine learning pipelines from data collection to deployment. With a team of experienced AI researchers and engineers, Neuro addresses critical challenges in AI development, making it a key player in the field of advanced computing.
Reference
Core business
MLOps platform | Neuro
Neuro MLOps platform provides complete solution and management of the infrastructure and processes you need for successful ML development at scale.
Knowm
Santa Fe, United States
B
11-50 Employees
2002
Key takeaway
Knowm Inc. is dedicated to advancing the computing industry through neuromemristive processors, highlighting its focus on innovative adaptive computing architectures.
Reference
Core business
Knowm.org – Neuro-memristive Artificial Intelligence
Neurophos
Durham, United States
B
1-10 Employees
2020
Key takeaway
Neurophos is at the forefront of AI computation through its innovative use of optical metasurfaces, which significantly enhance computational efficiency and reduce costs. Their technology promises to reshape the AI landscape by providing faster and denser computation solutions.
Reference
Core business
Neurophos
NeuraXenetica LLC
Indianapolis, United States
B
1-10 Employees
2014
Key takeaway
NeuraXenetica LLC specializes in advanced technologies, including AI and human-computer integration, positioning itself as a key player in the transition to Society 5.0. Their expertise in AI architecture and innovative business models suggests a strong alignment with the principles of neuromorphic computing.
Reference
Core business
NeuraXenetica LLC – Guiding organizations into the world of Society 5.0
MemryX
Ann Arbor, United States
B
11-50 Employees
2019
Key takeaway
MemryX Inc. is focused on advancing Edge AI processing through its innovative MX3 accelerator, which utilizes a proprietary dataflow architecture and in-memory computing techniques. With expertise in neuromorphic computing, the company enables efficient optimization and deployment of AI models, promising high performance and low latency.
Reference
Product
Technology - MemryX
Chip makers are always making design tradeoffs to balance performance, power, area, cost, quality, size, thermals, compatibility, efficiency, ease of use, and
Mythic
Temecula, United States
B
101-250 Employees
2012
Key takeaway
Mythic is at the forefront of neuromorphic computing with its Analog Matrix Processors, which utilize a unique analog compute-in-memory architecture. This innovative approach significantly enhances power efficiency and performance for AI inference, particularly in edge devices.
Reference
Core business
Power-efficient analog compute for edge AI - Mythic
AI’s immense potential is being constrained Innovation is hampered Today’s digital AI processors are tremendously expensive to develop and rely on traditional computer architectures, limiting innovation to only the largest technology companies. Inference at the edge is a challenge Inference at the edge requires low latency, low power, and must be cost-effective and compact. Digital…
Technologies which have been searched by others and may be interesting for you:
When exploring the Neuromorphic Computing industry in the United States, several key considerations are essential. The regulatory environment plays a significant role, as compliance with federal and state regulations regarding data privacy and security is crucial for companies operating in this field. Additionally, the industry faces challenges related to technological complexity and the need for specialized talent, making workforce development a priority for sustained growth. Opportunities abound, particularly in sectors like artificial intelligence, robotics, and edge computing, where neuromorphic systems can enhance processing efficiency and energy savings. Environmental concerns are increasingly relevant, particularly regarding the energy consumption of large-scale computing systems and the sustainability of materials used in chip production. The competitive landscape is marked by both established tech giants and startups, which fosters innovation but also intensifies the race to patent new technologies. Furthermore, the global market relevance of neuromorphic computing is growing as countries invest in AI and machine learning capabilities, positioning the U.S. as a leader in this transformative technology. Understanding these aspects is crucial for anyone looking to invest or engage with companies in the neuromorphic computing sector.
Some interesting numbers and facts about your company results for Neuromorphic Computing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 2751 |
| Amount of suitable service providers | 1709 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2002 |
| Youngest suiting company | 2020 |
Some interesting questions that has been asked about the results you have just received for Neuromorphic Computing
What are related technologies to Neuromorphic Computing?
Based on our calculations related technologies to Neuromorphic Computing are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)
Which industries are mostly working on Neuromorphic Computing?
The most represented industries which are working in Neuromorphic Computing are IT, Software and Services, Other, Biotechnology, Semiconductor, Electronics and Electrical engineering
How does ensun find these Neuromorphic Computing Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
