76 Artificial Intelligence Examples Shaking Up Business Across Industries

While some are concerned about the rapid advancement of artificial intelligence, there are also numerous examples that demonstrate AI is shaping the future for the better.

AI has already made a positive impact across a broad range of industries. It can automate processes to free employees of unnecessary labor, provide personalized learning options for students, enable cybersecurity companies to deploy faster solutions and help fashion companies design better-fitting clothing for their customers.  

Let’s take a deeper dive into other artificial intelligence examples further demonstrating AI’s diverse applications.

 

AI Software

Advances in large language models and generative AI have resulted in even more powerful AI tools. From completing coding tasks to calculating travel routes, AI software has reshaped everyday life for consumers and businesses alike. Below are some of the biggest names that continue to push the boundaries of what’s possible with AI software.
 

Google uses AI in Google Maps to make commutes a little easier. With AI-enabled mapping, the search giant’s technology scans road information and uses algorithms to determine the optimal route to take — be it on foot, on a bike or in a car, bus or train. Google further advanced artificial intelligence in the Maps app by integrating its voice assistant and creating augmented reality maps to help guide users in real time.

 

IBM took the AI world by storm with its Watson assistant, and watsonx continues this legacy. Organizations can tailor watsonx to serve as an employee Q&A resource, customer service chatbot and coding assistant for developers, among other roles. IBM also offers open-source AI models that can be accessed with an Apache 2.0 license. This allows any developer to use the models for their own purposes without restrictions. 

 

NVIDIA delivers a range of AI solutions, starting with its software platform. Designed to run on the cloud, NVIDIA’s AI platform can operate in any location and excels in areas like speech and translation, content generation and route planning. The company has also created a personal chatbot called ChatRTX, which can run locally on any PC. In addition, NVIDIA remains the top producer of AI chips, further cementing its status in the AI industry. 

 

Genius Sports offers sports teams and leagues its data analytics solutions. It has an AI-powered video platform that is trained to understand contextual clues from live gameplay, which allows coaches to review game events. Its other AI tool locates the contours of players’ bodies to help make decisions that seem too close to call during a game. 

 

OpenAI emerged as a key player in the AI competition when it released ChatGPT. The chatbot acts as a collaborative partner in addressing complicated questions, handling coding tasks and searching the web for answers. ChatGPT received a major upgrade through the GPT-4o model, being able to process written text, audio, images and videos. Open AI continues to enhance its models’ reasoning abilities with its OpenAI o1 model.

 

Microsoft joined the smart assistant trend in 2014 with the release of Cortana for Windows Phone 8.1. Cortana now serves as a “personal productivity assistant” integrated into the Microsoft 365 suite of apps. For example, this AI-enabled assistant has the ability to remind Microsoft users about emails that require follow-up or to recognize voice instructions to join a meeting through the Teams app.

 

Siri, Apple’s digital assistant, has been around since 2011 when it was integrated into the tech giant’s operating system as part of the iPhone 4S launch. Apple describes it as the “most private digital assistant.” Siri puts AI to work to help users with things like setting timers and reminders, making phone calls and completing online searches.

 

Amazon is the king of e-commerce AI. Whether it’s the company’s recommendations on which products to buy, the warehouse robots that grab, sort and ship products or the web services that power the website itself, Amazon employs AI in almost every step of its process.

 

 

Clay provides a relationship ecosystem management system that enables users to mind all their important connections intentionally. Its AI streamlines and automates research, data enrichment and message drafting to enable campaigns. The company’s solutions also feature reminders to return correspondence and pings from social media accounts. 

 

Smartcat is an AI platform that converts content like videos, websites and software into any language. It allows all users to create new content using its multilingual enterprise library. The company boasts that users get results at 1/100 of the cost in minutes and 20 percent of the Fortune 500 use Smartcat in their communications.

 

AI Robotics

Today’s AI-powered robots are capable of solving problems and “thinking” in a limited capacity. As a result, artificial intelligence is entrusted with performing increasingly complex tasks. From working on assembly lines at Tesla to teaching Japanese students English, examples of AI in the field of robotics are plentiful.
 

Machina Labs is a robotics manufacturing company that creates smart factories, which use robots for building and assembling components within an automated environment. These industrial manufacturing spaces specialize in formed sheet metal goods, building prototypes and products for clients in the aerospace, defense, automotive and consumer goods sectors.

 

AMP designs, engineers and manufactures robotic systems for recycling sites. Because the robots, which are powered by AI, can quickly discern variations in materials — like material type, shape, texture, color and logos — they can digitize and efficiently process every object that comes through a recycling facility, targeting specific items on conveyor belts as needed.

 

iRobot is probably best known for developing Roomba, the smart vacuum that uses AI to scan room size, identify obstacles and remember the most efficient routes for cleaning. The self-deploying Roomba can also determine how much vacuuming there is to do based on a room’s size, and it needs no human assistance to clean floors.

Related ArticleRobotics Companies and Startups on the Forefront of Innovation

 

Softbank Robotics developed a humanoid robot known as Pepper, which is equipped with an “emotion engine” that makes it “capable of recognizing faces and basic human emotions.” Standing at 4 feet tall, Pepper can operate in more than a dozen languages and has a touch screen attached to support communication. Softbank also developed a bipedal robot called NAO, which can be used in educational and research settings, as well as an autonomous vacuum named Whiz to handle commercial cleaning.

 

AI Smart Assistants

AI is the backbone of smart assistants, which can be accessed through most phones on the market these days and are also being integrated into cars and smart home devices. By the end of 2024, more than 132 million U.S. adults are expected to use a smart assistant.

Here are some of the companies bringing consumers smart assistants equipped with artificial intelligence.
 

Kustomer makes AI-powered software tools companies use to provide quality customer service experiences. Its chatbot offering can engage customers directly, automatically providing personalized answers to resolve issues. Kustomer’s solutions portfolio also includes an assistant that can help service agents translate or clarify messages and summarize interactions.

 

Grammarly provides AI-powered, contextually relevant writing assistance. Its business solution combines this capability with organizational knowledge to help teams increase productivity and organizations save on costs. Grammarly offers premium, free-tier and education tools to provide writing support across over 500,000 apps and websites.

 

Skillsoft is an edtech company producing software that companies use to facilitate employee training and upskilling. Its Conversation AI Simulator, known as CAISY, is a tool that lets users practice business and leadership conversations. It serves as a trainer that simulates the other side of the conversation and gives the user feedback to guide the development of their conversational skills in various scenarios, such as handling a difficult customer service interaction or communicating a decision about a product launch.

 

Motorola Solutions offers hardware and software products that support safety and security operations. The company builds AI-enabled assistive technologies that inform human decision making in public safety settings. For example, Motorola Solutions’ conversational AI and natural language processing offerings are able to search databases and provide useful information based on voice commands and transcribe 911 calls in real time.

 

Ylopo provides real estate professionals with its AI-powered digital marketing platform. It targets and converts leads with its Ylopo AI Text and Ylopo AI Voice products. The company says Ylopo AI Text has had over 25 million conversations with a 48 percent response rate and Ylopo AI Voice is available 24/7. 

 

AI in Healthcare

Artificial intelligence is proving to be a game-changer in healthcare, improving virtually every aspect of the industry. AI-enabled virtual assistants are reducing unnecessary hospital visits and giving nurses 19 to 35 percent of their time back in the process; pharmaceutical companies are researching lifesaving medicines in a fraction of the time and cost it traditionally takes; and AI is even being used to help bring advanced healthcare to nations that need it.

Here are a few examples of how artificial intelligence is streamlining processes and opening up innovative new avenues for the healthcare industry.
 

Greenlight Guru provides cloud-based solutions for the medical technology sector whose goal is to help companies bring products to market faster, more efficiently and with less risk. Its search engine uses AI to aggregate and process industry data and detect and assess security risks in network devices. It also offers a risk management solution that automatically calculates risk assessments.

 

Global pharmaceutical company Takeda’s research and development efforts focus on gastrointestinal and inflammatory diseases, treatment of various rare diseases, plasma-derived therapies, oncology, neuroscience and vaccines to mitigate the spread of infectious diseases such as dengue and Zika. Takeda has been working to responsibly incorporate AI technologies into its operations for applications like making drug discovery more efficient.

 

PathAI creates AI-powered technology for pathologists. The company’s machine learning algorithms help pathologists analyze tissue samples and make more accurate diagnoses. The aim is to not only improve diagnostic accuracy, but also treatment. PathAI’s technology can also identify optimal clinical trial participants.

 

Well develops a personalized health plan for each customer by collecting data on pre-existing conditions, ongoing health concerns and gaps in general health knowledge. Based on personal and external health data, users receive coaching, tips and rewards to encourage them to keep improving their individual health. Along each user’s health journey, Well offers guidance for screenings, questionnaires, prescriptions, vaccinations, doctor visits and specific conditions.

 

Self-Driving Cars

Self-driving cars are equipped with sensors that capture thousands of data points — car speed, road conditions, pedestrian whereabouts, other traffic, etc. — every millisecond and use AI to help interpret the data and act accordingly. We may still have a long way to go until we’re fully capable of driving autonomously, but the companies below are paving the way toward an autonomous driving future.
 

Cruise is the first company to offer robotaxi services to the public in a major city, using AI to lead the way. The company’s self-driving cars collect a petabyte’s worth of information every single day. AI uses this massive data set to constantly learn about the best safety measures, driving techniques and most efficient routes to give the rider peace of mind.

 

Waymo is Google’s self-driving car project. The company builds a variety of autonomous vehicles designed to meet the needs of drivers, including individuals, rideshare drivers and large trucking companies. With an advanced suite of sensors, each Waymo vehicle collects data and uses artificial intelligence to decipher what will happen next. Thanks to AI, Waymo vehicles can analyze situations and make safe predictions for optimal next moves.

 

Tesla has four electric vehicle models on the road with autonomous driving capabilities. The company uses artificial intelligence to develop and enhance the technology and software that enable its vehicles to automatically brake, change lanes and park. Tesla has built on its AI and robotics program to experiment with bots, neural networks and autonomy algorithms.

 

AI in Finance

The financial sector relies on accuracy, real-time reporting and processing high volumes of quantitative data to make decisions — all areas intelligent machines excel in. Taking note of AI, the industry has rapidly implemented automation, chatbots, adaptive intelligence, anti-fraud defenses, algorithmic trading and machine learning into financial processes.  

Here are a few examples of how artificial intelligence is changing the financial industry.
 

Kensho is an AI development company for S&P Global. It uses natural language processing and machine learning technology to create new applications for AI. Its tools include the Classify product, which uses AI to analyze text and documents for research and analysis. The product is capable of delivering research-quality annotations and excerpts used by journalists, market analysts and document platforms.

 

Gradient AI develops tech solutions for the insurance industry. Its products include claim and underwriting automation solutions that rely on AI and machine learning models to efficiently manage routine tasks so users can focus their expertise where it’s needed most. The company also offers claims management solutions that make predictions that can save insurers time and money.

 

Morningstar’s family of fintech brands and products supports investors on a global scale. AI powers the Morningstar Intelligence Engine, which is meant to simplify the process of tracking down specific information amid Morningstar’s abundance of investment data and content. A chatbot called Mo that serves as a digital research assistant was built on the Intelligence Engine and is in the beta testing stage.

 

Canoe automates the process of alternative investments, or investments in financial assets that aren’t in conventional categories like cash, stocks and bonds. It allows users to create workflows for analysis and data collection. The company enables its clients to access data and handles document and data extraction.

 

Liberty Mutual is a global insurance company that’s been in business for more than a century. Its five-year partnership with MIT focuses on research into AI solutions to modernize and overcome challenges in the insurance industry, with the potential of diving into topics that range from increasing transparency for decision making algorithms to exploring how computer language understanding could be used to make processing insurance claims faster.

 

PwC is a global company that consults with business clients on tech solutions in a variety of areas, including AI. For example, PwC worked with an auto insurance provider to integrate artificial intelligence into its process for providing customers with claims estimates, leading to greater operational efficiency and an improved customer experience. PwC has invested significantly in continuing to expand its AI capabilities.

 

Northwestern Mutual has over 150 years of experience helping clients plan for retirement as well as manage investments and find the right insurance products. Now the financial services company is going all-in on AI to improve the customer experience and increase the efficiency of data management across the organization.

 

Fintech and peer-to-peer payment platform Cash App powers a number of its features using artificial intelligence. Users can interact with customer support chatbots that are developed using complex natural language processing techniques. As for security, the company uses machine learning and AI to help mitigate risk and prevent fraud on the platform.

 

AI in Travel and Transportation

Advanced sectors like AI are contributing to the rise of the global travel technologies market, which is on track to exceed $10 billion by 2030. Chatbots and other AI technologies are rapidly changing the travel industry by facilitating human-like interaction with customers for faster response times, better booking prices and even travel recommendations.

Here are some examples of how artificial intelligence is being used in the travel and transportation industries.
 

Navan makes software used to manage expense and travel management for corporate employees. The software handles the full lifecycle of travel and expense management, from reporting to reimbursement. Its Ava AI chatbot addresses customer service issues, including user questions, trip bookings, flight changes, spend data analysis and identifying potential areas of optimization.

 

With AI becoming increasingly relevant to the automobile industry, automotive powerhouse General Motors has implemented it in a wide range of applications. In the motorsports context, for example, GM brings together machine learning, performance data, driver behavior data and information on track conditions to create models that inform race strategy.

 

Motive uses artificial intelligence to support its fleet management software, which is used by logistics companies to enable live GPS tracking, smart dash cams, fuel and maintenance logs and other solutions intended to improve operational safety and efficiency. The AI-powered smart platform can detect dangerous driving in real time, and the company says its customers have seen substantial reductions in driver accidents.

 

Metropolis is an AI company that offers a computer vision platform for automated payment processes. Its proprietary technology, known as Orion, allows parking facilities to accept payments from drivers without requiring them to stop and sit through a checkout process. Once a driver has connected their vehicle, they can simply drive in and drive out.

 

AI in Social Media

With its ability to organize massive amounts of data, recognize images, introduce chatbots and predict shifts in culture, AI is highly valuable to the social media industry, which boasts billions of users and an expected market volume of $206.8 billion by 2029. Additionally, advanced machine learning is likely to prove critical in an industry that’s under pressure to protect users against fake news, hate speech and other bad actors in real time.

Here are a few examples of how some of the biggest names in the game are using artificial intelligence.
 

Hinge is a dating platform where users search for, screen and communicate with potential connections. The platform uses AI to power its recommendation algorithms, which control what profiles members see based on metrics, demographics and engagement so potentially compatible people are given the opportunity to match with each other.

 

Snap Inc. is a technology company that integrates photography with communication services and social media. Its mobile app provides users with a range of filters to try and also enables them to invite their contacts into the app. Snap Inc.’s My AI chatbot is currently available to users who want to answer trivia questions, get suggestions for an upcoming trip or brainstorm gift ideas.

 

AI in Retail

Implementing machine learning into e-commerce and retail processes enables companies to build personal relationships with customers. AI-driven algorithms personalize the user experience, increase sales and build loyal and lasting relationships. Companies use artificial intelligence to deploy chatbots, predict purchases and gather data to create a more customer-centric shopping experience. 

Here’s how some major retail and e-commerce leaders are implementing AI to boost sales and loyalty.
 

Mixbook lets consumers order custom products featuring their photos. For customers who are putting together a photo book, Mixbook has a generative AI tool that helps with caption writing. This feature of the Mixbook Studio can analyze a customer’s uploaded images and produce relevant caption options to help tell the visual story.

 

Riskified makes risk management software for e-commerce. By assembling large sets of transaction and consumer data and deploying AI to analyze it, it can assess the likelihood and identify instances of policy abuse, fraud and chargebacks. On the Riskified platform, AI analysts monitor traffic without supervision, and are able to report anomalies and suspected organized fraud, which can be tremendously expensive to e-commerce companies.

 

Lily AI builds technology intended to optimize the online shopping experience for brands in the fashion, home and beauty spaces. Its AI-powered product attribution solution uses image recognition to assign descriptors to products based on customer-centered language. Those attributes then fuel product discovery so that shoppers are able to find items that are relevant to them, whether that’s through search engines or product recommendation systems.

 

Shoppers can order baked goods, fresh produce, frozen food, dairy products, pantry staples and other items through Instacart’s platform and then schedule a delivery or pickup time. The company uses AI in a variety of ways to enhance both online and in-person shopping. For example, Instacart’s Caper Cart technology facilitates an intelligent brick-and-mortar retail experience, deploying tech-enabled shopping carts that can recognize items, weigh produce and accept payment.

 

McDonald’s is a popular chain of quick service restaurants that uses technology to innovate its business strategy. Two of the company’s major applications for AI are enabling automated drive-thru operations and continuously optimizing digital menu displays based on factors like time of day, restaurant traffic and item popularity.

 

Whole Foods has relied on Amazon’s Just Walk Out to give its stores a competitive edge. The system uses computer vision, sensor fusion and deep learning to track every item customers put in or take out of their cart and build a matching virtual shopping cart. Customers can connect their payment method when they enter the store and get a digital receipt after leaving without any checkout interaction.

 

AI in Marketing

Marketers are allocating more and more of their budgets for artificial intelligence implementation as machine learning has dozens of uses when it comes to successfully managing marketing and ad campaigns. AI-powered tools like keyword search technologies, chatbots and automated ad buying and placement have now become widely available to small and mid-sized businesses.

Here are some examples of AI-powered marketing and advertising tools.
 

Regal.io’s cloud-based software product for outbound contact center operations uses AI to provide businesses with call insights and enable automations. For example, the technology is able to automatically produce call summaries and update customer profiles based on what’s said during each interaction.

 

Klaviyo uses AI to help brands deliver personalized targeted messaging that has a high rate of effectiveness. By using its embedded AI to comb through reams of consumer data, its platform can offer predictive insights on crucial metrics like how often a customer is likely to order a product, what their lifetime value is and what the churn rate is on a given campaign. Once clients have this information, they can use the platform to generate, test and implement messaging campaigns and features like personalized product feeds.

 

Optimum’s family of brands includes an advertising arm offering services and technology for small- and medium-sized businesses. Its AI-enabled media planning tool known as Alice is meant to streamline the process of plotting out a media campaign strategy that effectively reaches the right target audiences.

 

Publica’s technology for connected TV, or CTV, advertising is meant to boost ad revenue and support a quality viewing experience. Its Elea ai solution is a frequency capping tool that uses AI and machine learning algorithms to recognize brand logos and optimize ad breaks so that audiences aren’t repeatedly shown content from the same advertisers.

 

System1’s team of engineers, product managers, data scientists and advertising experts build solutions that help brands engage high-intent customers. Its omnichannel digital marketing platform is equipped with proprietary AI and machine learning algorithms to facilitate customer acquisition across a diverse range of advertiser verticals.

 

Digible’s solutions for apartment marketing cover paid media, organic media and data and analytics. The company offers an AI-powered virtual assistant known as Fiona that’s designed to help users build data-driven marketing and budget plans, for example, and monitor for Fair Housing violations.

 

Smartly is an adtech company using AI to streamline creation and execution of optimized media campaigns. Brands around the world use Smartly’s all-in-one platform to access collaborative tools for creative development and automated ad changes that are triggered based on performance for campaigns across Google, TikTok, YouTube, Facebook and other platforms.

 

Zeta Global is a marketing tech company with an international presence that reaches from the United States to Belgium and India. It incorporates AI into its cloud-based platform that brings together solutions to support customer acquisition and retention strategies. For example, Zeta Global’s predictive AI capabilities help businesses target the right customers and recommend actions that will foster strong customer relationships.

 

Connectivity company Spectrum, which provides telephone, television and internet services, uses AI on multiple levels. For example, Spectrum Reach, the company’s advertising branch partnered with video studio Waymark to offer an AI-enabled platform that allows businesses to quickly develop TV commercials with voiceovers.

 

Prosodica’s contact center technology offers companies a voice and speech engine that provides insight into customer interactions. Using AI to help businesses improve customer experiences, Prosodica also supplies clients with interactive data visualizations to identify areas of risk. Its enterprise-grade solution assists clients with identifying follow-up opportunities and reducing the risk of failed calls.

 

EliseAI uses an AI-powered assistant to relieve marketing teams of communication duties. It interacts with prospects and customers via email, contact forms, texting and phone calls. In addition, EliseAI can also reschedule meetings, send follow-up messages and share instructions. As a result, marketing teams can focus on more urgent needs while entrusting EliseAI to maintain constant communication with top leads and customers.

 

RTB House goes beyond basic AI-powered marketing campaigns, informing each campaign with deep learning algorithms. Marketing teams can then quickly compile and organize complex data, segment and target specific audiences and determine the best platforms to reach their ideal buyers. RTB House also offers interactive banners for online environments, so companies can place ads, gather feedback and refine their marketing tactics.

 

Drift (now part of Salesloft) uses chatbots, machine learning and natural language processing to help businesses book more meetings, assist customers with product questions and make the sales cycle more efficient. Its technology can automate tasks like replying to emails, routing leads and updating contact information. For example, once a lead is on a website using Drift, a chatbot will pop up, ask questions and automatically slot them into a campaign.

 

GumGum uses artificial intelligence to optimize and automate advertising. The company’s contextual intelligence platform Verity is able to analyze video, audio, image and written content to ensure it’s relevant to customers and determines ideal ad placements to maximize reach based on context rather than relying on data from third-party cookies.

 

AI in Business

Dropbox offers an array of cloud-based products that enable file storage and sharing as well as digital project collaboration. Dropbox Dash is the company’s AI-powered search tool that summarizes and organizes content from various sources into a single dashboard so users can access and share information as needed.

 

Shield AI develops AI-powered systems for defense and national security applications. Its autonomous systems are designed to operate in challenging environments like military operations and disaster response scenes. Its tech, which leverages machine learning, computer vision and autonomous navigation, enables drones and similar systems to perform complex tasks with little human intervention.

 

Domino Data Lab helps enterprises expedite the development and deployment of data science work. It also works to increase collaboration and governance. The company provides tools for building and productizing generative AI, including model fine-tuning for privately training and refining commercial and open source models, and prompt engineering for using any gen AI service securely.

 

Monte Carlo’s data observability platform works to help organizations improve data reliability and prevent potential downtime. It helps quickly identify issues and provides tools to streamline their resolutions. Monte Carlo’s offerings include machine learning-powered anomaly detection. It also enables users to group alerts to avoid becoming inundated with incident notifications.

 

Vorto is a supply chain software provider. Its autonomous platform works to predict demand and streamline procurement, logistics and operations. The company’s goal is to help businesses achieve greater economic and environmental sustainability by digitizing their supply chain. Vorto has helped businesses reduce supply chain costs and carbon emissions.

 

Notion develops productivity software and operates a collaborative workspace platform. Its suite of AI tools performs tasks like text generation, arithmetic and results predictions. It can also integrate other datasets in response to user input, such as summarizing information on a page, fixing grammar errors and analyzing large text-based data sets to generate insights.

 

LogicGate’s Risk Cloud solution works to help businesses operationalize and automate risk compliance. Its SaaS platform aims to help companies manage risk, ensure regulatory compliance and streamline related processes. LogicGate provides an interconnected view of risk across an organization to help companies adapt to changing business conditions and innovate new processes.

 

Sendbird provides a conversation API that lets developers integrate chat, voice and video into their apps. The company’s solution offers enterprise-level scale, security and compliance, enabling brands to build custom generative pre-trained transformers on their sites and mobile apps. This fuels automated engagement, marketing, sales and support with conversational AI.

 

360Learning provides enterprise tools for learning and development opportunities such as employee onboarding, compliance training and sales enablement. The company’s AI-powered platform lets employers develop custom course content, enable personalized employee upskilling pathways and more.

 

Redflag AI makes a content protection platform that uses AI to search for and find instances of its clients’ owned content being used without permission. The AI looks at web content, checking for piracy, fraud, copyright infringement and cybersecurity issues, so that brands can maintain asset integrity and take appropriate action against copyright violators.

 

Veritone is a software company that uses AI to power its analytics platforms, which take audio and video data and comb through it for insights. The company has AI software products for a wide range of industries, including public sector organizations, media and entertainment, and talent acquisition, each with specific needs and contexts. Its media software includes a media management tool that gleans insights from analyzing existing content and then delivers recommendations for content creation.

 

MaestroQA makes quality assurance software used by brands to assess how well their team members and processes are working. It offers industry-specific products for e-commerce, B2B software, media and other spaces with highly particular dynamics. MaestroQA uses AI to analyze data, looking for incidents and trends that are hard to catch with a human eye, at a scale and speed that are not replicable by human analysts.

 

Blueprint Test Preparation offers students digital test prep for exams including the MCAT and LSAT. It also provides its users with services like private tutoring and application consulting for students aspiring to become lawyers, doctors and nurse practitioners. Students can engage with practice questions and exams through Blueprint’s AI platform, which can determine why students get questions wrong and help them learn from their mistakes.

 

Consensus Cloud Solutions provides organizations in regulated industries with its portfolio of secure software products. Its clients come from spaces like manufacturing, finance, insurance, real estate and healthcare. Its HIPAA-compliant, AI-powered solutions include direct messaging, querying patient records, collecting e-signatures and cloud faxing.

 

Hungryroot offers a delivery service and food recipes for a variety of dietary meals to choose from, including gluten-free and vegan. Its platform uses AI to create personalized recommendations based on user input and activity.

 

Accuris integrates engineering workflows with technical content and standards. Its AI-powered Engineering Workbench Professional solution offers natural language processing, machine learning, semantic research, document understanding and information retrieval so users can find the knowledge they need in seconds. It aims to enhance collaboration and communication in the engineering process by digitizing internal requirements and standards.

 

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