Trending December 2023 # 5 Enterprise Startups To Watch In 2023 # Suggested January 2024 # Top 15 Popular

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Enterprise might just be the most exciting area in tech today. While enterprise isn’t always as flashy as consumer-facing services, enterprise startups have the potential to not only reach profitability more quickly, but to also create groundbreaking solutions on a large scale.

A good enterprise startup has the potential to transform how an entire industry does business — and, in turn, change how consumers interact with these industries.

Here are a few of my favorite enterprise startups you should be watching and why I think they’re excellent examples of what enterprise startups can achieve.

1. ChowNow

What it is: It’s a CRM solution that gives restaurants the power to accept online orders via mobile and desktop.

Why it stands out: Businesses don’t have the time to try out products that don’t have a clear impact on the bottom line. But by providing a new way for restaurants to accept orders and increase revenue, ChowNow shows its value from day one.

It doesn’t just deliver custom apps and the capability to accept orders through Facebook; ChowNow also makes sure integrating with current POS systems is hassle-free by giving restaurants a separate tablet that’s not linked to the current POS system. This way, restaurants can be up and running with ChowNow in a matter of days.

2. DataRPM

What it is: It’s a natural-language search provider for large databases. It works as an instant business analytics platform for both internal and external customers.

Why it stands out: DataRPM provides powerful technology that’s also easy to use. While most companies strive for the holy grail of data analysis, few are able to pull it off. DataRPM doesn’t require knowledge of SQL or other databases, so even non-technical employees can access the data they need.

3. CirroSecure 

What it is: It’s a cloud security platform focused specifically on monitoring cloud applications.

Why it stands out: CirroSecure is focusing on a sector that is still in its infancy but growing at a remarkable rate. By recognizing businesses’ need to monitor and manage the security of cloud applications, both internally and externally, CirroSecure has been able to get ahead of the competition to serve a ravenous customer base.

4. Skubana

What it is: It’s an all-in-one, channel-agnostic enterprise planning solution for e-commerce companies.

Why it stands out: Skubana is a product based on firsthand experience with other ERP solutions. Chad Rubin, founder and CEO of Skubana, took the knowledge he gained from running other e-commerce companies and created a product that solved the exact pain points he and other e-commerce retailers faced.

By truly understanding its target audience, Skubana created a product that makes itself essential to e-commerce workflows — not just convenient.

5. KEYPR

What it is: It’s a cloud-based management solution for the hotel industry.

Why it stands out: Before it began, KEYPR identified two major barriers to getting hotels to implement its system: high upfront costs and conflicts with existing systems. To combat these problems, KEYPR created an end-to-end solution that could take over every step of the process and offered hotels the hardware for free. Choosing to make the money back over time through subscription costs is a brilliant model that has made KEYPR more attractive than its competitors from the start.

The enterprise world is full of possibility for entrepreneurs who understand their target audience and can create a solution that demonstrates ROI from day one. While not every startup will succeed in this sector, those who provide a clear value proposition have the potential to revolutionize an entire industry and change the way we do business.

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10 Hot Indian Artificial Intelligence Startups To Watch Out In 2023

Over the past few years, startups have brought in a lot of Started by four IIT Roorkee friends, chúng tôi helps customer enterprises enhance the user engagements. It is basically an NLP driven platform which builds multi-lingual chatbots for businesses. So depending on what language is preferred, multi-lingual conversations can take place and enhance the business productivity. It was started by – Sourabh Gupta, Manoj Sarda, Akshay Deshraj, and Prateek Gupta.  Recently they have launched their B2C product named Aisha. This personal assistant is in Hindi. It helps people from tier-2 and tier-3 cities; and has crossed about 50,000 users.  

Are you unable to figure out what to buy? Fabulyst will definitely do this for you. Based out of Hyderabad, this startup will help all online women shoppers to decide what to buy based on the user inputs. Further, it does provide certain suggestions based on past purchases along with the best possible styling features. Whatever we purchase is the basis for our next purchase suggestion. What we want to style it with, plus what else can we combine into our carts is what this startup excels at.  

Build on machine learning technologies and neurosciences; this startup has helped many ventures. It helps large businesses, enterprises and developers to come up with intelligent products and solutions with minimal development efforts. It has enabled various industries like banking, health care, infrastructure, manufacturing to have smart artificial intelligence powered brain to make automation a real-time activity. Two friends came up with this idea back in 2023 to use the machine learning techniques to help ace the businesses. Like to, improve the return on some investments, cross intelligence sectors and some other personalized and customizable sectors.  

Majority of the company’s investment is into Research and Development which helps them in reaching their goals. Since 2013 they have also invited business experts to their team for enhancing the enterprise build and enabling developers to generate various AI related products for the next generation.  

TAO is an AI-based independent consulting firm. This startup basically provides automated consultations. It comes with solution based outcomes and helps in the further optimization process. It is a platform for firms to develop and implement various automation strategies.  

Amazed with the suggestions on what to buy next? That’s what chúng tôi does. Using AI, it builds up products which can solve several analytical problems a company can face. AIDA is one such product the company has built. It predicts what each customer is likely to buy. It was started by Prakhar Raj, Shitiz Bansal and Ajay Kashyap back in July 2023.  

Stepping into the finance sector was always difficult. Like taking up a loan, demands much knowledge and general awareness without which probably we would face some difficulty. AskArvi has made it easier. It is a smart personal insurance platform which makes insurance buying simpler. It was started this year in January only. It has basically helped many customers select various insurance products with different – different features and provide recommendations also.  

It has claimed to replace all the manual rules with AI platform. Using this no genuine order is rejected. It has also come up with a customer friendly idea of providing a two-month trial to initially support the ecosystem.  

Embibe is an educational startup, which uses self-learning algorithms, machine learning and cognitive computing akin to IBM’s Watson for improving how people learn.  Like they prepare mock tests for students to attempt which are driven by AI strategies. They’ll ask them to first answer questions they can attempt confidently to maximize scores.  

Top 10 Computer Vision Trends To Watch In 2023

Want to adopt new trends in your business? Here are the top 10 Computer vision trends you must watch

Computer vision, is a field of artificial intelligence, where people teach computers to analyse and comprehend the visual environment. Recent developments in AI and computer vision trends have made computer vision a potent tool for pushing industry change. The training data pipeline is built using computer vision, a subset of artificial intelligence and machine learning, to enhance customer experience, cut expenses, and boost security.

Artificial intelligence (AI), a field of computer vision enables computers to extract structured and meaningful information from digital photos, movies, and other visuals. Computer vision is largely focused on the theory and technology for creating artificial systems that contain critical information from images or multi-dimensional data. Actions or suggestions will be made in light of this data. As computer vision becomes more and more popular, more trends and applications are being adopted globally.

Let us know, the

Top 10 Computer Vision trends to watch in 2023: 

Edge computing – Processing close to the data source instead of relying on a cloud network is the practice. Processing is now faster and more effective thanks to technology. You can use graphics processing units (GPU) or visual processing units (VPU) to sense, access, and interact with your environment by installing a CV application on the edge.

3D Models – A collection of stereo-pair photographs of a scene can be used to create an automated, photorealistic, and geometrically accurate digital 3D model using computer vision and AI algorithms. Computer vision can analyze the 3D scene projected onto one or more photos and create 3D models from image data.

Data Annotation Capability – A computer vision program with data annotation capabilities may automatically recognize objects, segment instances, classify them, annotate feature points, estimate poses, and more. However, for computer vision models to learn patterns, they need a lot of annotated photos and videos.

Natural Language Processing – Machine translation, dialogue interface, information extraction, and summarization are all aided by the integration of natural language processing into computer vision applications. The CV application supports visual translations, robotics, and distributional semantics in addition to multimedia assets.

Merged reality enhanced by augmented reality (AR) – To recreate the user’s environment in three dimensions, computer vision is crucial. Although there is still a long way to go until the metaverse is completely immersive, major corporations like Facebook and Microsoft are already utilizing virtual reality (VR) in their products.

Data-centric artificial intelligence – Convolutional Neural Networks (CNN), Deep Neural Networks (DNN), Deep Learning, and other capabilities are built-in into this AI-enabled computer vision program. You can use these developments to support a variety of efforts, including facial recognition, data analysis, contextual labelling, and simple picture analysis.

Automated visual and Quality control systems – Applications for smart cameras use computer vision to develop automated visual and quality control systems. The accuracy of quality control is increased when computer vision is used.

Camera-based computer vision systems – These aid in the detection of moving infractions; vehicles that are stopped in hazardous locations can be found using computer vision systems that use cameras to monitor the road.

Autonomous checkout technology – Customers anticipate the ease and speed of online buying in traditional brick-and-mortar establishments. The use of an app for payment allows clients to bypass the cashier thanks to autonomous checkout technology.

The Top Funded Artificial Intelligence Startups Of 2023

The startup space leveraging  

CrowdStrike a Sunnyvale, California-based cybersecurity firm was founded in 2011 by the top executives of McAfee. CrowdStrike sells endpoint security software, protecting laptops, computers, servers, other devices from hacker threats serving customers in more than 170 countries. In June 2023, CrowdStrike raised $200 million in a fresh funding by private investors taking its valuation exceed $3 billion. CrowdStrike held the national spotlight in the 2023 U.S. presidential election season when it analysed the monumental hack of the Democratic National Committee. CrowdStrike was the first company to publicly blame Russian agents for the data breach in the 2023 U.S. presidential election season.  

Founded in 2007 by the father and son duo of David Hindawi and Orion Hindawi, Tanium is a privately held endpoint security and systems management company operating from Emeryville, California. The company provides organizations a single point of control and visibility to manage and secure technology systems at an unprecedented scale. Tanium’s platform helps technology powering businesses adapt to disruption in vogue. Tanium’s customers include many of the world’s largest organizations like the United States Military and top banking giants who rely on the solutions offered for business resilience. The startup raised an additional $200 million in its latest funding round led by investment firm Wellington Management in October 2023 currently valuing the startup at $6.5 billion.  

UiPath, a global software company offering a platform for Robotic Process Automation was founded in 2005 by the Romanian entrepreneurs, Marius Tirca and Daniel Dines. The startup started its operations from Bucharest, Romania and has an extended presence in London, Bengaluru, New York, Tokyo and Singapore. UiPath, raised $153 million in Series B funding and eclipses $1.1 billion valuation at present. The startup validates RPA as a strategic imperative for the path to AI and digital transformation. The funding was led by the previous investor Accel, with new investors Kleiner Perkins Caufield & Byers and CapitalG contributing to the company. Additionally, UiPath seed investors Credo Ventures, Seedcamp and Earlybird’s Digital East Fund, also participated in the funding round.  

Founded in 2012, Cylance Inc. is an American software startup founded by former McAfee Global CTO Stuart McClure and Chief Scientist Ryan Permeh. Cylance is a game changer startup in cybersecurity developing antivirus programs and computer software that prevent viruses and malware. Based in Irvine, California, its flagship product, CylancePROTECT®, is the world’s first next-generation antivirus built on machine learning and artificial intelligence. Cylance® Inc., closed a $120 million funding round led by funds managed by Blackstone Tactical Opportunities and including other investors in June 2023.  

6. AutoLab AI

Founded in early 2023, with an aim to become the future of autonomous manufacturing, AutoLab AI founded by former Autodesk Inc. employees covers categories like robots and software as a service. In May 2023, the Palo Alto-based startup AutoLab AI raised $113.4 million of a planned $200 million in funding.  

C3 IoT is the world’s leading AI and IoT software provider for digital transformation delivering a platform as a service (PaaS) for the rapid design, deployment and development, of large-scale predictive analytics, big data, IoT applications and AI for any value chain. Additionally, the startup provides a family of configurable and extensible SaaS products developed with and operating on its PaaS, including fraud detection, predictive maintenance, sensor network health, energy management, supply chain optimization and customer engagement. In January 2023, C3 IoT raised a $100 million round of funding from its existing investors including TPG Growth, Sutter Hill, Breyer Capital, and its founder and CEO Tom Siebel which brings the total funding raised to nearly $243 million.  

Nuro is an American robotics self-driving delivery startup based in Mountain View, California, founded in 2023 by a pair of Google veterans Jiajun Zhu and Dave Ferguson. Nuro in partnership with Kroger, powers autonomous vehicles on the road to deliver groceries in Scottsdale, Arizona priced at a flat delivery fee of $5.95. In January, Nuro raised $92 million in Series A funding rounds led by Chinese venture firm Banyan Capital and Silicon Valley’s Greylock Partners  

How High Capacity, Top Speed Ssds Changed The Enterprise In 2023

Thanks to emerging trends like the Internet of Things (IoT), Online Transaction Processing (OLTP), data mining and edge computing, along with mandates such as General Data Protection Regulation (GDPR), 2023 saw the evolution of solid state drive (SSD) needs from security protocols to higher capacity growth in data centers.

Because of these changes in the hard drive space, enterprises are consolidating digital information — whether in a private data center or public cloud — and enabling storage opportunities for data lakes or other repositories.

More Room for Performance Improvement

A major focus has now turned to SSDs as costs continue to drop and capacity improves through Quad Level Cell (QLC) technology, which stores four bits per cell instead of three and offers improved cell density.

Performance requirements continue to drive adoption of faster and larger SSDs. Content delivery networks (CDNs) are transitioning from 1080p video to 4K (3840×2160) to 8K (7680×4320), with the bits per color moving from eight to 12 to 16 to support high dynamic range (HDR) as well. This involves streams increasing from 6Mbit/s for 1080p to as many as 100Mbit/s for 8K HDR video. Data mining, online transaction processing, real-time systems and other new technologies require as much throughput and the lowest seek times possible.

New Products Mean New Capabilities

Samsung released a number of new products in 2023, including Samsung Enterprise SSDs like the 860 DCT, 883 DCT and new NVMe products like the 970 EVO and 970 PRO, 983 DCT and 983 ZET. These new SSDs offer higher capacities, faster response times and higher transfer rates than previous drives, while reducing costs, lowering energy usage and increasing drive lifespans.

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As the year progressed, product shortages and price increases turned to sufficient supplies of hardware and price declines. Samsung launched the new Samsung Data Center series to unlock new growth opportunities in servers and storage systems. Also launched was the QLC product, which will transform the industry by delivering affordable SSDs to the market that offer a real apples-to-apples competitor to hard disk drives. The continuing shift from SATA to NVMe/PCIe for high performance drives also offers substantial performance increases for gaming and data storage systems.

Long-Term Storage Dilemmas Solved by New Partnerships

For Samsung Data Center products, the year included some notable partnerships:

The University of Akron collaborated with Gravity Gaming to create an esports center in their student union that includes 93 high-end gaming PCs utilizing Samsung 860 EVO and 970 PRO SSDs, giving the varsity gaming team the best systems for their competition.

EchoStreams Innovative Solutions LLC, an OEM/ODM solutions provider focused on server and storage technologies, created a newer version of their FlacheSAN line. It was developed with Samsung 2.5-in. and M.2 NVMe drives to offer a high level of performance at a reasonable cost.

Exxact Corp. solved their high performance computing system bottlenecks with multiple Samsung SSDs in a RAID configuration to serve up to eight nVidia Tesla graphics coprocessors (GPUs) in a single system.

For Samsung SSDs, 2023 was a year of exciting new partnerships and data center products that will enable systems growth for administrators, VARs and integrators, as well as consumers — allowing them to build the best gaming systems possible. These trends are only expected to continue as SSDs reach new heights, with QLC drives and new NVMe components moving costs down and performance levels up.

Samsung’s entire SSD lineup has transformed the way enterprises approach large data storage needs. Find out more about the hardware’s capabilities with this free white paper.

10 Exciting Computer Vision Companies To Watch Out In 2023

Here are the leading computer vision startups that will disrupt the market in 2023 and beyond.  

Location: Palo Alto, CA Differentiator: Deep Vision excels at providing intelligent image and video analysis that facilitates new ways of understanding and analyzing visual data. The company provides AI-vision to a broad set of partners and clients to help them operate more efficiently and effectively, create new products, and accelerate business models. Deep Vision’s AI-based visual recognition technology such as facial recognition and demographics, people counting, vehicle recognition, and counting operates either on edge devices, on-premises, or in the cloud. The company’s main industries are the smart cities, safety and security and the retail & e-commerce.  

Location:Palo Alto, CA Differentiator: Pilot AIbuilds deep-learning based, computer vision platform to solve real problems directly on compute-constrained embedded devices. Depending on a customer’s specific need, chúng tôi offers computer vision processes with the device (edge), in the cloud, or with a combination of both. chúng tôi additionally works with customers to create a custom user interface and integrations that result in a real end-to-end vision intelligence solution. The company has quietly earned massive contracts with some of the biggest names in the industry of the camera and video hardware and has soon become a preferred supplier to government agencies.  

Location:San Francisco, CA & Madrid, Spain Differentiator: Shazura is the brainchild of Sira Pérez de la Coba, who comes with 20 years of vision artificial intelligence (AI) experience. Shazura revolutionizes Visual Intelligence with instant image recognition APIs and visual search at scale, using AI fingerprints instead of labeling Shazura, captures an image’s fingerprint which is as unique as it can be, and cannot be obtained with simple text labels. Shazura offers high-accurate immediate visual learning to all visual content industries making sense of an exponentially growing rate of images/videos/gifs.  

Location:  Bengaluru and San Diego Differentiator: Netradyne provides cutting-edge technologies in Artificial Intelligence, Machine Learning and Edge Computing to help reduce accidents by creating a new safe driving standard for commercial vehicles. Its industrial solution named, Driveri™ is a vision-based driver recognition and fleet safety platform. The start-up captures and analyses every minute of every driving experience, helping commercial fleet managers with insights that relate to positive driving and identifying opportunities for individual coaching.  

Location: Berlin, Germany Differentiator:  Nyris means, ‘Neural Iris,’ is a prominent European computer vision startup. Nyris is a young deep tech company based in Berlin and Düsseldorf, Germany. It is an image search engine that is used as a software as a service. Nyris uses a wide range of technologies for image recognition, including artificial intelligence and neural networks and results are displayed in less than one second. The company takes the approach of layering on varying analysis technologies in sequence, and as needed, to repeat the iteration until the desired outcome is achieved.  

Location: Berlin, Germany Differentiator:  20 Billion Neurons (20BN) uses cameras and computer vision to understand live gestures and human expressions in a similar manner how the human eye and brain would intercept. Twenty Billion Neuronsbuild artificial intelligence solutions that can see, understand, and interact with the users in real time. The company’s computer vision algorithm can identify subtle and human actions, such as eyes gestures in case of a stare, drinking water, eating food and much more.  

Location:Graz, Austria Differentiator:  EVK started as a hyperspectral imaging business, and upon transitioning to the family’s next generation, CEO Matjaz Novak and CTO Matthias Kerschhaggl have transitioned the company into, a proper startup business. In addition to producing innovative hyperspectral camera products, EVK also creates the intelligence to infer what is seen by the cameras. It is the vision intelligence behind many waste recycling conveyor lines enabling the immediate identification of certain types of plastics for autonomous sorting. EVK is also deploying quality control solutions in agriculture by identifying imperfections in fruits and vegetables that are not easily visible to the human eye.  

Location:  Gurugram, Haryana, India  

Differentiator: MintM is computer vision-based data platform aiding businesses with real-time intelligent analysis and automation with the help of CCTV or other type of cameras. The computer vision platform uses 18 technology products and services including Google Analytics, G Suite (formerly Google Apps for Work), and Apache Web Server. MintM was founded in 2014 and is headquartered in San Francisco Bay Area, Silicon Valley, West Coast  

Differentiator:  iLenze is a visual search startup that aims to bridge the information gap existing between the real and the online world. The platform enables users to search for any object a human eye can see. The company is currently working in fashion, furniture and home-decor domains with product discovery being its core focus area. Within three months of its launch, iLenze is already piloting with established e-commerce players for enabling and integrating visual search onto their platforms.  

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