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These top 10 AI startups are revolutionizing the technology market in 2023

There are multiple AI Startups that through their innovation and improving technology are solving problems at a pace never seen before. And there seem to be no breaks to these developments in the AI industry by these startups. From providing healthcare services to presenting highly intelligent AI and ML solutions to almost every sector, AI startups are the hottest brands in the market. Here is the list of top 10 AI startups leading the AI race in 2023.

UBTECH Robotics

Chinese AI and humanoid robotic company Ubtech Robotics recently introduced Ubtech’s educational robot Alpha Mini into local kindergartens to help further artificial intelligence education for preschool children. This project is targeted toward children aged 3-5 and will cover 300 nursery centers in Seoul. UBTECH Robotics, a developer of intelligent humanoid robotics and AI technologies, has unveiled Walker X, the latest version of its groundbreaking bipedal humanoid robot. It is another step closer to becoming the gold standard in humanoid robotics.

UISEE Technology

Autonomous driving technology company UISEE and the Guangdong Airport Authority have jointly unveiled a “Smart Logistics Laboratory” and the launch of an unmanned tractor project. This project introduced five unmanned tractor models from UISEE, designed to replace manual transportation on the outbound business lines of domestic cargo terminals, as well as the inbound and outbound business lines of international cargo terminals. Teksbotics & UISEE jointly pilot new package delivery solutions using a self-driving vehicle to design and build a cost-effective autonomous delivery vehicle for the last mile delivery.


UiPath fourth-quarter results topped estimates, guidance for 2023 was disappointing, and the stock finished March down 38%. It has provided four reasons for the guidance: Russia, FX headwinds, general macro concerns, and a sales leadership transition. UiPath and DocuSign, both companies will generate significantly slower growth this year and also face near-term margin pressure.


Uniphore Technologies Inc, a conversational automation platform, on Wednesday said it has acquired an artificial intelligence (AI)-powered knowledge automation solution company Colabo. To help IVAs and live agents deliver better customer interactions. This acquisition brings together unique capabilities to arm enterprises with new tools that provide a quick resolution to consumer queries and empower agents with real-time, actionable information


Uptake is the industrial analytics platform that delivers products to major industries to increase productivity, security, safety, and reliability. Uptake is a World Economic Forum Technology Pioneer and three-time CNBC Disruptor 50 honoree. It helps industrial companies digitally transform with open, purpose-built software that delivers outcomes that matter and industrial companies are once again the creators of economic growth and opportunity.


Vast Data combined its all-flash, high-performance storage with Vertica’s Eon Mode Architecture to give data warehouse-like responses to data lakes in a converged product. Nvidia had increased its investment in storage startup Vast Data, it was not exactly clear how or if the companies already were working together.  The companies announced a few weeks ago during Nvidia’s GTC Spring event that Nvidia Bluefield DPUs are powering Israel-based Vast Data’s new Ceres storage platform.


Vectra AI, a leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises, today released the findings of its latest Security Leaders Research Report. This alarming statistic comes as cyber threats increase and security and IT teams face mounting expectations to keep their organizations protected from such threats. Now AttackIQ and Vectra joined together to help customers enable a proactive, threat-informed defense.


VerbIT is a Tel Aviv- and New York-based AI transcription & real-time captioning solution which provides the highest accuracy & fastest transcription models that have acquired Take Note in the UK. This acquisition marks VerbIT’s entrance into the market research space and increased presence in Europe. VerbIT has recently started paying its transcribers and reviewers even less money than before. The rate for editing was 30 cents per audio minute, it is currently 24 cents or even less on occasions for a standard job.

WeRide YITU Technology

Chinese artificial intelligence company, Yitu Technology is considering an initial public offering in Hong Kong after tightening regulatory scrutiny stalled an earlier attempt to list in Shanghai. Yitu, whose application for a Starboard IPO was withdrawn last month, could file for a listing as soon as later this year. YITU has obtained a number of authoritative international standards certifications for information security and privacy protection, including ISO/IEC 27701:2024 and ISO/IEC 27001:2013. ISO/IEC 27701:2024, which is the world’s strictest.

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Top 10 Robotics Startups To Look Out For In 2023

Across the world several robotics startups are merging to drive significant innovations.

Running a Covariant’s mission is to build the Covariant Brain, a universal Digital Dream Labs (DDL) is the leading provider of hands-on educational technology for children ages 4 to 9. The company’s products satisfy the need for engaging, language- and system-agnostic designs that allow pre-readers to interface with both on-screen environments and other devices such as educational robots, smart speakers, and other smart devices, and drones.  

Soon, the demand for food will surpass what our current systems can supply. Meanwhile, all around the globe, consumers and governments are calling for more sustainable food. At FarmWise, the team harnesses the power of AI to find solutions to this worldwide challenge and help growers thrive in this new farming era. The company works hand in hand with growers to understand their constraints, address their priorities, and build products that are changing their lives for good. Farming has always required passion and hard work. Covariant is here to merge age-old farming knowledge with the latest technologies to optimize farming processes and reconcile sustainability with growers’ profitability.  

Freedom Robotics is the leading provider of software infrastructure for modern robotics companies. Based in San Francisco, California, Freedom Robotics creates mission-critical software infrastructure to enable the next generation of robotics companies to build, operate, support, and scale robots and robotic fleets. Freedom Robotics is platform agnostic and works with any robot and installs in seconds with just one line of code in order to help robotics companies bring their product to market 10x faster with half the resources.  

Outrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety, increase efficiency, and optimize their workforce. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, and other top-tier investors.  

Refraction AI builds and deploys robotic platforms for providing safe and scalable last-mile goods delivery in urban areas. The company picks up goods from places like restaurants, pharmacies, and grocery stores and bring them directly to your house, enabling faster, cheaper, and safer delivery to meet customer’s growing expectations.  

Robust.AI is a fast-growing early-stage startup founded by an unsurpassed team of veterans in robotics, business, and AI. Current robots are extremely limited, typically relegated to highly controlled environments, unable to function in dynamic, open-ended environments, and poorly equipped to deal with the unexpected. The company is building an industrial-strength cognitive platform — the first of its kind — to enable robots to be smart, collaborative, robust, safe and genuinely autonomous, with applications in a very broad range of verticals from construction and delivery to warehouses and domestic robots  

Construction impacts our daily lives in unique ways. The industry shapes the cities we live in, producing the homes we dwell in and the infrastructure that drives our economies. With 200,000 people a day globally moving to urban areas, the industry must respond to some of the biggest challenges of our time, but it is plagued by waste and inefficiency. At Scaled Robotic, the team is applying robotics and machine learning to build new tools that can track, analyze and optimize the construction process  

Southie Autonomy makes automation affordable, easy, and flexible by creating a new way to talk with robots. With a tool called The Wand, anyone can tell the robot what to do in under 10 minutes using simple gestures. NO coding, NO programming, just use The Wand! In manufacturing today, automation can be extremely expensive, time-consuming, and often results in a robot doing 1 task. At Southie Autonomy the team cuts these high costs by at least 50%, with no expert coder or complex installation required. Now, your workers can assign a new task to a robot in under 10 minutes versus the 2-8 hours it takes experts.  

10 European Startups That Wowed Mwc 2023, From Ai To The Metaverse

The following is information about the 10 European startups that wowed MWC 2023

After being postponed in 2023 and 2023 due to the pandemic and being held on a smaller scale in 2023, the Mobile World Congress (MWC) 2023 was held this year in Barcelona. Over 80,000 people came to see it, and over 2,000 businesses displayed their wares.

The MWC show floor has been a one-of-a-kind venue for the promotion of industry announcements and thought leadership, as is customary. The first recipient of the GLOMO Lifetime Achievement Award, presented to the pioneers, thought leaders, and innovators of Web 3.0, Martin Cooper, the father of the cell phone, was honored at the event.

Some technologies that will be used by consumers in the coming years were on display at the conference that just finished. AI, the Internet of Things (IoT), the metaverse, robotics, 5G, and web3 are among the tech trends that will be discussed at the MWC 2023. It also contains the 4YFN, or four years from now, which highlights thousands of category-specific startups.

Around here at TFN, we have recorded a few European startups in these flourishing enterprises that partook in MWC 2023. The list of 10 European startups from European startups that wowed MWC from AI to the metaverse.

1. Urban XR (UK)

At MWC 2023, Urban XR demonstrated its cutting-edge Visual Positioning Technology (VPS) for delivering this augmented reality experience. It demonstrated how the Internet of Things (IoT) can revolutionize the operation of towns and cities to produce long-term results.

2. La Frontera (Spain)

La Frontera is a Spanish startup that uses the metaverse to offer realistic avatar-based virtual meetings. It is committed to creating environments that are completely tailored to the requirements of the client and is involved in the creation of immersive VR/AR environments geared toward the B2B market. At the MWC 2023, the organization displayed an undertaking that works with drug organizations to show how a medication works at the cell level in the body.

3. 6WIND (France)

6WIND is a company that makes networking software. Its software is used by Service Providers, Cloud Providers, Systems Integrators, Enterprises, and Tier-1 Original Equipment Manufacturers all over the world. It allows customers to replace costly hardware with software and virtualization for routing and security applications.

4. Ceragon Networks (Israel)

This Israeli startup offers wireless backhaul and fronthaul solutions that are creative, adaptable, and affordable. It makes it possible for mobile operators as well as other wired and wireless service providers to provide their customers with 5G and other broadband services. To provide more capacity over longer distances in any deployment scenario, Ceragon Network’s high-capacity solutions make use of microwave technology to transfer voice and data traffic while maximizing bandwidth efficiency.

5. chúng tôi (Switzerland) has developed a smart shoulder-worn AI-powered harness that uses autonomous driving technology to guide blind and partially sighted individuals with 3D sounds, transforming the future of accessibility. It identifies and predicts the trajectories of objects in the environment using 3D cameras so that users can safely navigate the world. Through bone-conducting headphones, the company also provides the wearers with intuitive feedback.

6. XRAI Glass (UK)

XRAI Glass develops augmented reality-based software solutions. The AI chat glass turns audio into pictures. XRAI has integrated the OpenAI chatbot’s technology into its app and glasses set up a time when ChatGPT is popular. It can assist people with hearing impairments by allowing them to hear an AI assistant summarize a conversation in which many people were present.

7. GreenWaves Technologies (France)

GreenWaves Technologies is a fabless semiconductor startup developing disruptive GAP9 ultra-low power application processors for image and sound processing and analysis. GreenWaves Technologies was founded in 2009. Its processors are designed for energy-constrained products like IoT, medical monitoring, wearables, and wearables.

8. Innatera (Netherlands)

nnatera is a Dutch semiconductor company that creates ultra-low power processors for applications at the edge of AI. Innatera’s chips allow sensor data to be processed 100 times faster and with up to 500 times less energy than with conventional processors by mimicking the mechanisms the brain uses for sensory perception.

9. GUZZU (Spain)

GUZZU is a web3-scalable solution from Spain that enables large-scale digital merchandise sales through NFTs for music businesses. Digital merchandise is here to bolster the digital identities of fans all over the world. Merchandising is one of the entertainment industry’s most important sources of revenue.

10. Vottun (Spain)

Top 10 Ai Chip Makers Of 2023: In

As the figure above illustrates, the number of parameters (consequently the width and depth) of the neural networks increase, which indicates greater model size. To derive meaningful results from existing deep learning models, organizations require increased computing power and memory bandwidth. 

Powerful general-purpose chips (such as CPUs) cannot support such sophisticated deep learning models. Therefore, AI chips that enable parallel computing capabilities are increasingly in demand, and according to McKinsey, this trend will continue.

However, even Intel, which has numerous world-class engineers and a strong research background, needed three years of work to develop its own AI chip. Therefore, for most companies, buying chips or platforms that run on a purpose built AI chip, from these vendors is the only way to develop powerful deep learning models. This article will introduce 10 AI chip vendors to help companies choose the right one.

Who are the leading AI chip producers?

1. Nvidia

Source: Google

Nvidia has been producing graphics processing units (GPUs) for the gaming sector since 1990s. The PlayStation 3 and Xbox both use Nvidia graphics arrays. The company also makes AI chips such as Volta, Xavier, and Tesla. Thanks to the generative AI boom, NVIDIA had excellent results in Q2 2023 and reached a trillion in valuation.

NVIDIA’s chipsets are designed to solve business problems in various industries. Xavier, for example, is the basis for an autonomous driving solution, while Volta is aimed at data centers. DGX™ A100 is the flagship AI chip of Nvidia which is also designed for data centers. Product integrates 8 GPUs and up to 640GB GPU memory. Nvidia Grace is the new AI chip model that the company released for the HPC market in 2023.

2. Intel

Intel is one of the largest players in the market and has a long history of technology development. In 2023, Intel became the first AI chip company in the world to break the $1 billion sales barrier. 

Intel’s Xeon processors, which are appropriate for a variety of jobs, including processing in data centers, have had an impact on the company’s commercial success. In comparison to earlier generations, the third generation Xeon platinum series has up to 40 cores and 1.6 times greater memory bandwidth, and 2.66 times greater memory capacity compared to previous generation.

Gaudi is the neural network training accelerator  from Intel. This product is able to scale as models get larger and has a relatively low total cost of ownership. For inferencing, Intel has the Goya, optimized for throughput and latency. 

Intel® NCS2 is the latest AI chip from Intel and was developed specifically for deep learning. 

3. Google Alphabet

Google Cloud TPU is the purpose-built machine learning accelerator chip that powers Google products like Translate, Photos, Search, Assistant, and Gmail. It can be used via the Google Cloud implementation. Edge TPU, another accelerator chip from Google Alphabet, is smaller than a one-cent coin and is designed for edge devices such as smartphones, tablets, and IoT devices.

4. Advanced Micro Devices (AMD)

AMD is a chip manufacturer that has CPU, GPU and AI accelerator products. For instance, AMD’s Alveo U50 data center accelerator card has 50 billion transistors. Accelerator can run 10 million embedding datasets and perform graph algorithms in milliseconds.

IBM launched its “neuromorphic chip” TrueNorth AI in 2014. TrueNorth contains 5.4 billion transistors, 1 million neurons, and 256 million synapses, so it can efficiently perform deep network inference and deliver high-quality data interpretation.

In April 2023, IBM launched its new hardware, “IBM Telum Processor”. Its development process took three years and is aimed to improve efficiency of use of large datasets.  According to IBM, it is suitable to use Telum processors for missions such as preventing fraud immediately due to its improved processor core and memory compared to previous AI chips of the company.

The below video further introduces Telum Processor:

Who are the leading AI chip startups?

We would also like to introduce some startups in the AI chip industry whose names we may hear more often in the near future. Even though these companies were founded only recently, they have already raised millions of dollars.

Source: Statista and Reuters

6. SambaNova Systems

SambaNova Systems was founded in 2023 with the goal of developing high-performance, high-precision hardware-software systems. The company has developed the SN10 processor chip and raised more than $1.1 billion in funding.

It is important to note that, rather than selling its AI processors, SambaNova Systems builds data centers and leases them to the businesses. Product as service approach of SabaNova Systems might enhance product stewardship and force them to produce more durable products since they own it through the lifecycle. AIMultiple evaluates product as service approach as one of the circular economy best practices. 

7. Cerebras Systems

Cerebras Systems was founded in 2024. In April 2023, the company announced its new AI chip model, Cerebras WSE-2, which has 850,000 cores and 2.6 trillion transistors. Undoubtedly, the WSE-2 is a big improvement over the WSE-1, which has 1.2 trillion transistors and 400,000 processing cores. 

Celebra’s system works with many pharmaceutical companies such as AstraZeneca and GlaxoSmithKline because the effective technology of WSE-1 accelerates genetic and genomic research and shortens the time for drug discovery.

8. Graphcore

Graphcore is a British company founded in 2024. The company announced its flagship AI chip as IPU-POD256. Graphcore has already been funded with around $700 million.

Company has strategic partnerships between data storage corporations like DDN, Pure Storage and Vast Data. Graphcore works with research institutes around the globe like Oxford-Man Institute of Quantitative Finance, University of Bristol and Berkeley University of California are other reputable research organizations that use Graphcore’s AI chips.

9. Groq

Groq has been founded by former Google employees. The company represents a new model for AI chip architecture that aims to make it easier for companies to adopt their systems. The startup has already raised around $350 million and produced its first models such as GroqChip™ Processor, GroqCard™ Accelerator, etc.

On the first of March, Groq acquired Maxeler, which has high performance computing (HPC) solutions for financial services applications.

10. Mythic

Mythic was founded in 2012. It developed products such as M1076 AMP, MM1076 key card, etc., and has already raised about $150 million in funding.

You can also check our sortable list of companies working on AI chips.

You might enjoy reading our articles on TinyML and accelerated computing.

If you have questions about how AI hardware can help your business, we can help:

This article was drafted by former AIMultiple industry analyst Görkem Gençer.


Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





Top 10 Hyper Automation Trends To Watch Out For In 2023

Hyper automation a highly developed automation strategy makes use of robotics, AI, and cutting-edge software engineering. In order to reduce labour and streamline workflows, it connects already-existing systems, users, and tasks before duplicating these automated operations.

Hyper automation and Hyper automation trends will be a highlight for the year 2023. The article lists top 10 Hyper automation trends and these are the hyper automation trends to watch out for in 2023.

The Introduction of Super Apps

Super applications will be ideal for businesses looking to recruit and keep young talent, particularly millennials and members of generation Z, who expect a consumer-like, mobile-first, real-life experience even at work. The explanation for this is that Super Apps serve as an instant messaging platform to encourage efficient communication among workers in a hybrid culture.

Businesses using Super Apps can have access to crucial customer information and use data analytics tools to transform it into a gold mine for understanding the kind of products clients are interested in and customising with cross-promotional discounts to boost conversions.

Metaverse and Hyperautomation

The Metaverse is a virtual environment that combines many technologies, such as virtual reality (VR), augmented reality (AR), artificial intelligence (AI), 5G networks, etc., to allow people to communicate, study, work, sell, and socialise. In terms of interactions between humans and AI, the Metaverse is a highly “evolved” and emerging technology, on which hyper-automation is built.

Offering clients a worthwhile immersive experience is what this means for businesses. Consider using digital avatars in a medical environment, where patient experience centres can use chatbots to make appointments for teleconsultations in a virtual clinic. Similar opportunities exist in the fintech and banking industries.

Machine learning impacting Hyperautomation

The benefit of ML-based code generation tools is that they include cloud-hosted ML models that are easily plugged into the integrated development environments of experienced developers. The models offer code suggestions based on either the provided partial code fragments or the natural language descriptions. In addition to codes in more than a dozen languages, models trained on billions of lines of publicly accessible code, auto-completion of codes when the target function name is given, generation of a summary of the code description, open-source code models, etc., various providers are offering a variety of capabilities and options. Some are also specifically made to generate sophisticated codes and visualisations for data scientists.

Intelligent automation

The development of AI across a range of tasks is being accelerated by hyperautomation. Generative design is one that is frequently mentioned. The traditional, interactive procedures used to create apps, user flows, screen models, and presentation layer codes for digital products can be automated with the help of an AI-augmented design technology. This intelligent design technology, which is supported by natural language processing (NLP) and machine learning (ML) capabilities, offers engineers a wide range of design options based on their inputs of style, price, strength, weight, and other product criteria.

This gives the designers plenty of time to work on “what” the consumers want rather than spending most of their time on “how” to make it work, allowing them to concentrate more on their problems.

Making Use of Optimized Process Mining Hyper automation helping the workforce

The most popular storylines have claimed that automation and artificial intelligence will cause the majority of the world’s workforce to lose their employment. New patterns and academic studies, however, point to a different form of reality. While some traditional jobs may undoubtedly become obsolete, new roles and opportunities will constantly arise. It is a fact that many companies may decide to replace a sizable section of their personnel with automated technologies. However, acting in a hasty manner could be reckless and harm their brand’s reputation. Supporting the idea of a hybrid system where human labour and automation coexist would be the wiser trend to adopt.

Increase in No-Code / Low-Code Tools Businesses require automated systems more and more

It takes a lot of time and resources to assemble a technical team that is sufficient enough to create those systems. Few people have the luxury of having endless access to IT specialists who can automate conventional procedures and fix any problem. Low-code and no-code tools can be used in this situation.

More Access, More Adoption

RPA products are beginning to be used by smaller companies with more constrained budgets. RPA is also used in routine situations and outside of the workplace, such as in apps for computers and smartphones. Hyperautomation, or at least some components of it, will be fully available and widely used by 2023. Businesses really don’t want to be seen as being behind.

Businesses will be impacted when hyperautomation becomes more widely used The Reinvigoration of Teams

Teams of human employees would be revitalised by the introduction of hyper automation. The straightforward response is that massive amounts of menial labour would be quickly handled by automated devices. Therefore, employees who once performed those tasks will have more freedom to look into other possibilities, develop new abilities, and reinvent themselves inside their company.

It’s highly possible that employees frequently disregarded areas of a corporation that needed a lot of human attention since they were preoccupied with labour-intensive, repetitive chores. Now that those time-consuming operations can be handled by automated systems, teams within enterprises may focus their time, energy, and talents on things that actually require them.

Digital Twins

Top 10 Ai Tools For Academic Research

Following is a list of the top 10 AI tools for academic research helpful for researchers

Scholars and Students have devoted countless hours to academic research and writing throughout history. Even though researchers now have access to more information and AI tools than ever before thanks to technology and the internet, it can be challenging to find the right AI tools for research.

Scholars and researchers require assistance sorting through and organizing sources due to the abundance of information available today. In addition, scholars and researchers must write informative, engaging, and well-written articles and reports due to the ongoing pressure to publish. Here is the list of AI tools for academic research.

1. Consensus: 2. ChatPDF:

Users can converse with a PDF document through the AI application ChatPDF. Without signing in, users can interact with any PDF they own, such as books, research papers, manuals, articles, and legal documents. To comprehend the content of PDF files and provide pertinent responses, ChatPDF makes use of a next-generation AI model comparable to ChatGPT.

3. Scite:

Scite’s Assistant, an AI-powered research tool, lets users work together on essays and research papers, find evidence to back up their claims and find evidence to refute them. Clients might enter straightforward questions to get reactions in light of the total texts of exploration distributions. The application can be used by users to find reliable information, search through millions of research articles, and create grant proposals or essay drafts.

4. Elicit:

Elicit, a machine learning tool, is used by the AI research assistant to help automate research procedures. Without specific keyword matches, it can locate relevant articles and extract important information. Inspire may likewise give different exploration exercises, including conceptualizing, summing up, and text-order, as well as summing up central issues from the report that are pertinent to the client’s request.

5. Trinka:

Online sentence structure checker and language proofreader Trinka artificial intelligence was made for specialized and scholastic composition. It is made to catch errors that other grammar checkers miss, like issues with subject-verb agreement, syntax, word choices, the use of pronouns and articles, and technical spelling. In addition, it incorporates a professional tone, the use of technical words, conciseness that goes beyond grammar and spelling, and style guides.

6. Scholarcy:

The online summarizing tool Scholarcy is a simple way to quickly examine and evaluate the significance of documents like articles, reports, and book chapters. Any Word or PDF document can be used to create summary flashcards that are displayed in an organized and easy-to-understand manner.

7. Academic Semantics:

The vast majority know about Google Researcher, which uses Google’s web search tool ability to list academic distributions. But if you’re doing any kind of scientific research, you should try Semantic Scholar. This AI-powered search and discovery tool, made available by publisher partnerships, data suppliers, and web crawls, enables you to keep up with more than 200 million academic publications.


Utilizing the internet to find information is a blessing. The amount of data that is accessible and the fact that it can be found in a variety of formats, such as blogs, essays, films, infographics, and images, present two challenges. Finding and organizing all of the data related to your study’s many areas might take a lot of effort.

9. SciSpace:

SciSpace is a platform driven by AI that lets people read, understand, and submit scientific articles. Its extensive searchable database contains more than 270 million articles, authors, subjects, journals, and conferences. It also offers a variety of paper template choices, a variety of pricing options, and additional services to speed up the printing process.

10. OpenRead:

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