StageSeries B - III | Alive
Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+80 points in the past 30 days
ChipIntelli is a provider of artificial intelligence chips, as well as related integrated circuit designs. Its automatic speech recognition chip (CI1006) is a commercialized automatic local speech recognition chip based on DNN architecture and deep learning. Compared with schemes on cloud recognition, it has advantages such as voice boot, offline recognition, and fast response speed, which improve the speech recognition experience. Its interactive voice & networking hardware can support intelligent home appliances, intelligent robots, and other intelligent products and solutions. The company was founded in 2015 and is based in Chengdu, China.
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Expert Collections containing ChipIntelli
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
ChipIntelli is included in 2 Expert Collections, including Artificial Intelligence.
This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.
Semiconductors, Chips, and Advanced Electronics
Companies in this collection develop everything from microprocessors to flash memory, integrated circuits specifically for quantum computing and artificial intelligence to OLED for displays, massive production fabs to circuit design firms, and everything in between.
ChipIntelli has filed 1 patent.
The 3 most popular patent topics include:
- Artificial intelligence
- Artificial neural networks
Artificial neural networks, Computer storage devices, Data management, Backup, Artificial intelligence
Artificial neural networks, Computer storage devices, Data management, Backup, Artificial intelligence
Latest ChipIntelli News
Jun 14, 2019
IndustryEssence-MarketResearch-Consulting-Artificial Intelligence-Machine Learning-Neuromorphic-Computing-BestCompany-Top-Company-Quality-Reports-Syndicate 500 Startups Accel Partners AI Capital Alpine Technology Fund Amadeus Capital Partners AME Cloud Ventures Andreessen Horowitz ASGARD Balderton Capital Battery Ventures Bessemer Ventures Bloomberg Beta Bpifrance C4 Ventures Charles River VC Citi Ventures C •Adapteva, aiCTX, AImotive, AISpeech, AlphaICs, Anaflash, Bitmain, BrainChip, Cambricon, Canaan, Cerebras, Chipintelli, Cornami, DEEP VISION, DeepScale, Eesay Tech, Enflame, Esperanto Technologies, Eta Compute, Flex Logix, Graphcore, GreenWaves Technol Industry Essence's latest market research report states- 38% VC professionals favored AI Chipset/Hardware market for investment over other emerging technologies Industry Essence (NYSE:IDES) This is one of a kind market research report guide published by Industry Essence for Venture Capitalists. The report is adding a great value to multiple emerging technology Venture Capitalists” — Kevin, Senior Growth Manager at Industry Essence NEW YORK, NEW YORK, UNITED STATES, June 14, 2019 / EINPresswire.com / — Industry Essence published a handbook on "Artificial Intelligence (AI) Accelerator Market Guide for Venture Capitalists: Investment Trends, Technological Insights, High-Growth Potential Markets, Promising Startups, & Forecasts 2018-2025" Joseph Schumpeter (1883-1950), an Austrian economist, economic historian & capitalist developed innovation theory of trade cycles in 1942. According to Schumpeter’s ‘Creative Destruction’ theory, creative destruction is a process in which new technologies, new products, new methods of production and distribution make old ones obsolete, forcing existing entrepreneurs to quickly adapt to a new environment or fail. Schumpeter’s theory is still appropriate in the Artificial Intelligence era. Industry has seen striking growth in the field of Artificial Intelligence (AI) over the past decade. The technology isn’t completely new to us; though the term “AI” initially coined in 1955, scholars have been originating it from centuries. AI and Internet of Things (IOT) have propelled industrial revolution 4.0, which is projected to completely transform our lives. Considering major developments in the AI, Machine Learning (ML), and Deep Learning (DL) technologies, Industry Essence has published several technology and market research reports in the past, covering AI hardware, software, and service markets. However, after conducting over 400 primary interviews for our AI and associated technology research reports, our team identified a need to offer a comprehensive market and technological insight research report, particularly for investors. Just to be sure, we then connected with around 52 Venture Capitalists (VCs) over the globe and discussed on rapidly growing AI, ML, & DL technology markets, VCs role, investor specific market insight needs, technological research needs, and on other associated areas. From these discussions, we learn the need to work on a specific syndicate research report related to- AI accelerators/chipsets for VCs, angel investors, incubators, corporate investors, banks, investment bankers, and government agencies. Get PDF Sample Brochure for Professional & Technical insights at industryessence.com/index.php/reports/details/626 The AI technology adoption rate was tripled globally in 2018, with one in seven companies have adopted the technology. Maturing AI technology, increasing awareness and investments, falling technology cost, and easy availability of open source APIs are motivating the enterprises to adopt the technology quickly. Chinese companies are frontrunners in terms of AI adoption rate, around 31% companies have already adopted the AI technology in some form in mainstream operations and rests are rapidly finding their ways to implement it. US ranked second with 23% AI adoption rate, followed by India, UK, France, Germany, Japan, and many others. Considering the huge potential of AI to create a massive impact on global economies in the coming years, investors are aggressively investing in AI technology startups. In 2018, Venture Capitalists (VCs) invested around 25 Billion USD worldwide in AI technology startups. In past six years, the market has witnessed hefty million dollar investments in AI startups. AI Accelerator market offers range of attractive investment opportunities for VCs. The AI technology market can be segmented by different AI accelerators by infrastructure, technology types, chipset type, processors, by technology types, innovative AI computing, end-user industry applications, regions and countries. Industry Essence is analyzing these market segments and potential investment opportunities for VCs. While conducting primary interviews, we came across different challenges faced by VCs and startups at different stages, our analyst team has analyzed and offered solutions and recommendations on these topics. In this research report, we comprehensively analyze AI Accelerator market including AI network and memory segments and cloud/datacenter & on edge accelerators. The report will definitely add a great value at multiple decision points for VCs, right from primary market understanding to VC investment decisions at various funding stages in AI startups. There are more than 5000 startups worldwide, developing AI, ML, DL, and other intelligent technologies. In this report, we are analyzing entire market ecosystem, analyzing VCs (investors), Intellectual Property (IP) vendors, technology giants, startup ecosystem, IC & semiconductor companies, and end industry users. Hey! Have you already invested in AI accelerator/chipset company/companies and looking to invest in a technology pioneer? Yes, there’s plenty of room! In past couple of years, few startups are innovating at architecture level to accelerate neural networks to next level. It includes optical computing, analog computing, Processing in Memory (PiM), and neuromorphic computing architectures. These startups are projected to disrupt the market exceptionally in the coming years, therefore VCs can go a step further and invest in these multi-billion dollar technologies. We’ve analyzed a range of promising startups working on these innovative technologies and profiled them in the report. AI Data Center Accelerator Market is segmented on the basis of technologies- machine learning, natural language processing, vision computing, and contextual computing. Machine learning market is further sub segmented as- deep learning, supervised learning, un-supervised learning, and reinforcement learning among others. A list of Venture Capitalists actively investing in AI & Associated Technologies 500 Startups
ChipIntelli Frequently Asked Questions (FAQ)
When was ChipIntelli founded?
ChipIntelli was founded in 2015.
Where is ChipIntelli's headquarters?
ChipIntelli's headquarters is located at 1606, G1, Chengdu.
What is ChipIntelli's latest funding round?
ChipIntelli's latest funding round is Series B - III.
Who are the investors of ChipIntelli?
Investors of ChipIntelli include Zijue Capital, Shengyu Investment, Moom Capital, Haolan Capital, Oriza Equity Investment and 10 more.
Who are ChipIntelli's competitors?
Competitors of ChipIntelli include Intellifusion, Mythic, Horizon Robotics, Graphcore, Cerebras Systems and 15 more.
Compare ChipIntelli to Competitors
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Another Brain creates chips with integrated artificial intelligence. Its chipsets allow any type of sensor to understand its environment and learn from it, in an autonomous and unsupervised manner. Its markets are intelligent cars, industrial robotics, and drones.
Westwell Lab is an artificial intelligence chip maker, specialized in Neuromorphic engineering
BITMAIN offers solutions for blockchain and artificial intelligence (AI) applications. It develops and sells chips for Bitcoin mining. The company was founded in 2009 and is based in Beijing, China.
Wave Computing develops a high-speed machine learning solution for data center-based training and per the company delivering up to 1000x the performance for neural network training. Wave's new compute appliance leverages the company's patented dataflow architecture, which eliminates the need for a central processing unit (CPU) or graphic processing unit (GPU), removing the typical performance and scalability bottlenecks found with traditional deep learning solutions.
Mythic develops a local artificial intelligence (AI) platform. It offers solutions for smart cities and spaces, intelligent machines and robots, smart homes, metaverse, drones, and aerospace industries. The company was formerly known as Isocline Engineering Corp. It was founded in 2012 and is based in Austin, Texas.
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