87 Artificial Intelligence Examples Across Industries

Artificial intelligence has moved well beyond experimental use cases and into the systems people rely on every day. AI now powers chatbots, digital assistants, fraud detection tools, autonomous vehicles and robotic systems. It also supports recommendation engines, healthcare platforms and business analytics software. Across industries, companies are using AI to automate repetitive work, analyze large volumes of data, personalize customer experiences and support faster decision-making.

The examples below show how broad AI adoption has become. Some companies are building foundation models and generative AI tools, while others are applying machine learning, computer vision, natural language processing and agentic AI to specific problems in healthcare, finance, transportation, retail, marketing and enterprise operations. Together, these examples illustrate how AI is reshaping both consumer products and business infrastructure as a diverse and expanding set of tools that can improve how people work, communicate, shop, travel and solve problems.

Related ResourcesTech & Startup Jobs on Built In

 

Chatbots and Digital Assistants

Modern chatbots and digital assistants have evolved into sophisticated agents capable of reasoning through complex requests and managing end-to-end workflows. By leveraging natural language processing and deep app integration, they now handle everything from real-time multilingual support and personalized shopping to autonomous scheduling and cross-platform task automation.

 

Location: San Francisco, California

Type of AI Used: Conversational AI and generative AI

OpenAI develops ChatGPT, a generative AI platform that serves as a collaborative partner for complex problem-solving, coding, and web research. ChatGPT processes text, images, audio and video across industries — from healthcare and finance to life sciences and enterprise operations — enabling organizations to automate workflows, accelerate discovery and deliver intelligent solutions. OpenAI’s frontier models and enterprise offerings support businesses in scaling AI applications while maintaining security and governance standards.

 

Location: Mountain View, California

Type of AI Used: Conversational AI and generative AI

Google develops Gemini, develops Gemini, a family of multimodal AI models that generate text, images, videos and code while analyzing visual and video content. Gemini powers AI-driven features across Google’s product ecosystem, including AI Overviews in Search, AI capabilities in Meet and Drive, and automation tools. The platform demonstrates AI’s transformative potential across industries by enabling businesses to streamline operations, enhance productivity, and deliver intelligent solutions at scale.

 

Location: San Francisco, California

Type of AI Used: Conversational AI and generative AI

Anthropic is an AI safety and research company that develops Claude, a family of large language models designed for complex problem-solving across industries. Claude powers generative AI applications for text analysis, software development, coding assistance, content creation and business automation. The company’s models — including Mythos, Fable, Opus, Sonnet and Haiku — serve enterprises in healthcare, finance, legal, government and other sectors. Anthropic emphasizes AI safety through Constitutional AI methods and responsible scaling practices, positioning Claude as a reliable alternative to other generative AI platforms for organizations seeking interpretable, steerable AI systems.

 

Location: San Francisco, California

Type of AI Used: Conversational AI and generative AI 

Perplexity is an AI-powered answer engine that uses large language models and natural language processing to interpret user queries and deliver real-time, cited answers through a conversational interface. The platform searches the web in real time, synthesizing information from authoritative sources and presenting results with transparent citations. Perplexity exemplifies AI's transformation of information retrieval, enabling users to obtain accurate, contextual answers faster than traditional search engines while maintaining source transparency and research-grade accuracy.

 

Location: Palo Alto, California

Type of AI Used: Conversational AI and generative AI

xAI develops Grok a frontier AI chatbot with advanced reasoning, real-time search, voice and image generation capabilities available through web and API access. The company also launched Grokipedia in October 2025, an AI-generated online encyclopedia powered by Grok that automates article creation and fact-checking. These tools exemplify xAI’s focus on building AI systems that combine sophisticated reasoning with practical, real-world applications across industries — from enterprise use cases to consumer-facing platforms.

 

Location: Redmond, Washington

Type of AI Used: Conversational AI and generative AI

Microsoft Copilot is a generative AI assistant that integrates across the Microsoft 365 ecosystem, enabling users to draft content, analyze data, and surface insights within Word, Excel, Teams and other productivity applications. Launched in 2023 and continuously evolved through 2026, Copilot leverages advanced language models to streamline workflows, automate routine tasks and enhance decision-making across industries. The platform now includes AI agents and computer-using capabilities, allowing organizations to deploy custom automation for document summarization, meeting analysis, and context-aware task completion. By embedding intelligent assistance directly into familiar work tools, Microsoft Copilot exemplifies how generative AI transforms enterprise productivity and operational efficiency.

 

Location: Cupertino, California

Type of AI Used: Conversational AI

Apple’s Siri AI, powered by Apple Intelligence, is a more capable and conversational digital assistant that helps users find information and complete tasks across devices. Rebuilt from the ground up with advanced on-device and cloud-based AI models, Siri AI offers personal context understanding to search across messages, emails and photos, as well as a broad world knowledge for up-to-date web answers and onscreen awareness to respond to visual content.

 

Location: Armonk, New York

Type of AI Used: Conversational AI and generative AI

IBM operates a comprehensive AI platform called Watsonx, which enables organizations to build, deploy and govern generative AI applications. The platform includes watsonx.ai for developing custom AI models, watsonx.data for trusted data management, watsonx.governance for responsible AI oversight, and specialized tools like watsonx Code Assistant for software development and watsonx Orchestrate for business automation.

 

Location: Nashua, New Hampshire

Type of AI Used: Conversational AI

Skillsoft’s 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. The company produces software that companies use to facilitate employee training and upskilling.

 

AI Models and 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 models and AI software.

 

Location: Santa Clara, California

Type of AI Used: Analytic AI, conversational AI, computer vision AI

Nvidia designs AI hardware and software that enable organizations to deploy artificial intelligence at scale across cloud and edge environments. The company’s GPU-accelerated infrastructure powers cloud-based applications from route optimization to real-time speech translation, while its Jetson and Isaac platforms extend AI capabilities to edge devices and autonomous systems. In the end, Nvidia helps businesses across industries like healthcare, finance, retail and autonomous vehicles build and deploy conversational AI, vision systems and robotics applications.

 

Location: Paris, France

Type of AI Used: Agentic AI, analytic AI, conversational AI and computer vision AI

Mistral AI develops open-weight large language models and multimodal AI systems for commercial and research applications. Available through open licenses and commercial agreements, Mistral’s models support text, image, code generation and agentic AI capabilities. The company serves enterprises across finance, manufacturing and public sectors, enabling organizations to customize, fine-tune and deploy AI assistants and autonomous agents for operational efficiency and intelligent automation.

 

Location: San Francisco, California

Type of AI Used: Agentic AI, analytic AI, conversational AI and computer vision AI

Databricks unifies data engineering, analytics and machine learning on a single lakehouse architecture. The platform enables teams to build, train and deploy AI agents and applications — from predictive ML models to generative AI — grounded in enterprise data. With integrated tools for data preparation, model training, evaluation and governance, Databricks helps organizations streamline operations, reduce risk and deliver AI-driven solutions across industries including financial services, healthcare, retail and manufacturing.

 

Location: Menlo Park, California

Type of AI Used: Agentic AI, analytic AI, conversational AI and computer vision AI

Meta develops open-source AI models, including the Llama large language model family integrated into social platforms. In April 2026, Meta released Llama 4 Scout and Llama 4 Maverick, natively multimodal models with advanced reasoning, image understanding, and industry-leading context length support. Meta also released Llama 4 Behemoth, a 288-billion-parameter model that outperforms GPT-4.5 and Claude Sonnet 3.7 on STEM benchmarks. These open-source models enable developers and enterprises across industries to build AI applications for personalized recommendations, content moderation and business automation.

 

Location: New York, New York

Type of AI Used: Analytic AI and computer vision AI

Genius Sports delivers AI-powered data analytics and video solutions to sports teams and leagues worldwide, including Premier League, Ligue 1, and WNBA. The company’s GeniusIQ platform applies machine learning to large-scale sports data to power performance analysis, fan engagement and automated officiating. Its computer vision technology captures thousands of player body contour data points per second to enable real-time insights and semi-automated decision-making for close calls during games.

 

Location: San Francisco, California

Type of AI Used: Analytic AI

Atlassian Intelligence is designed to boost workplace productivity by powering the company’s platform, including its teamwork solutions like Jira, Trello and Rovo. More than 300,000 businesses worldwide rely on these solutions throughout the project lifecycle, including 80 percent of Fortune 500 companies.

 

Location: San Francisco, California

Type of AI Used: Analytic AI and generative AI

Samsara offers an AI-powered suite of solutions that helps operations teams discover insights, automate tasks and make better decisions. Samsara Assistant, a generative AI tool within the suite, provides fast answers to questions related to maintenance, safety and compliance by leveraging the world’s largest connected operations dataset. And its Intelligent Experiences embed AI-based insights and recommendations across the platform, including visual intelligence for identifying jobsite hazards and AI-powered coaching for driver safety.

 

Location: San Francisco, California

Type of AI Used: Generative AI

Webflow enables teams to design, build and optimize online experiences through visual design tools and AI-assisted capabilities. The platform generates complete websites — including layouts, images and copy — from text prompts using its AI site builder, while its visual CMS and design-to-code translation tools convert design elements directly into HTML and CSS. Webflow’s AI features include automated content generation, localization powered by machine learning and Answer Engine Optimization agents, helping teams accelerate from concept to deployment while maintaining design control and performance optimization for high engagement.

 

Location: Boston, Massachusetts

Type of AI Used: Analytic AI

Air Space Intelligence uses AI to power its PRESCIENCE platform, a software solution that is able to create digital twins to simulate operating environments and provide predictive intelligence. The Boston-based technology firm aims to support optimizations across critical applications ranging from air traffic management to battlefield awareness.

 

Location: Boston, Massachusetts

Type of AI Used: Generative AI, analytic AI, deterministic AI

Dynatrace combines deterministic, predictive and generative AI to help businesses understand and manage their IT environments. The platform fuses unified telemetry — metrics, logs, traces and user behavior — with agentic AI to surface real-time, actionable insights and automate workflows. The goal is to help teams detect and resolve issues faster, reduce noise and maintain resilient digital services while driving autonomous operations and innovation.

 

Robots and 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.

 

Location: Louisville, Colorado

Type of AI Used: Analytic AI and computer vision AI

AMP designs and operates AI-powered waste sorting systems that use computer vision and robotics to identify and recover recyclable materials from mixed waste streams. The company’s Vision platform performs real-time material characterization by analyzing color, shape, texture, opacity and brand markers, enabling precise sorting on conveyor belts. And its Smart Sortation technology processes single-stream recycling and municipal solid waste at facility scales of 10,000 to over 1 million tons annually, improving material purity, recovery rates and recycling economics across three continents.

 

Location: Bedford, Massachusetts

Type of AI Used: Analytic AI and computer vision AI

iRobot develops Roomba, the AI-powered robot vacuum that uses advanced navigation technology including LiDAR mapping to scan room layouts, identify obstacles and learn efficient cleaning routes. Now operating under Picea Robotics following its 2026 emergence from Chapter 11, iRobot continues advancing intelligent home robotics with compact, energy-efficient designs and cloud-connected features.

Related ArticleRobotics Companies and Startups on the Forefront of Innovation

 

Location: Tokyo, Japan

Type of AI Used: Analytic AI, conversational AI and computer vision AI

Softbank Robotics applies AI across humanoid and autonomous service robots to streamline operations across healthcare, hospitality, senior living and commercial cleaning sectors. The company developed Pepper, a humanoid robot with emotion recognition and facial analysis capabilities for customer-facing roles, and NAO, a programmable humanoid platform for research and education. It also expanded into commercial automation with Whiz, an AI-powered autonomous vacuum for large-scale facility cleaning, and recently launched advanced cleaning robots including Omnie, Vacuum 40 and Phantas — all equipped with computer vision and vision-language models for enhanced spatial awareness and autonomous navigation.

 

Location: Carson, California

Type of AI Used: Analytic AI and computer vision AI

GrayMatter Robotics deploys AI-powered robotic systems for surface finishing and quality inspection in the aerospace, defense and industrial manufacturing industries. The company’s proprietary Factory SuperIntelligence (FSI) platform operates as the “AI layer” for factory floors, automating the sanding, grinding, spraying, buffing and inspection tasks.

 

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,  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.

 

Location: Chapel Hill, North Carolina

Type of AI Used: Analytic AI

Well uses AI-powered health engagement to deliver personalized health plans based on individual health data, pre-existing conditions and health concerns. The platform’s AI Health Engine matches targeted interventions to each person at the right time, while Well Guides provide coaching and support. Members receive daily actions, tips and rewards to drive behavior change and improve health outcomes.

 

Location: San Francisco, California

Type of AI Used: Analytic AI and generative AI

AKASA applies generative AI to healthcare revenue cycle management, using models trained on clinical and financial data to automate coding, clinical documentation improvement, prior authorization and claims processing. The platform helps health systems reduce denials, improve documentation accuracy, and accelerate reimbursement across the full revenue cycle — from pre-bill optimization to claims management. AKASA serves more than 650 hospitals and 6,500 outpatient facilities throughout the United States.

 

Location: Evanston, Illinois

Type of AI Used: Analytic AI

ZS’s cloud-native platform unifies data, analytics and workflows across commercial, medical and patient teams in life sciences. The company delivers AI solutions spanning research and development, pricing, marketing, sales, customer engagement, clinical trials and supply chain management. And it partners with tech leaders like AWS, Salesforce and Veeva to embed AI into core business decisions and scale impact across enterprises.

 

Location: Santa Barbara, California

Type of AI Used: Analytic AI

Artera deploys autonomous AI agents to streamline patient engagement and administrative workflows. These agents leverage large language models, text-to-speech, speech-to-text and generative voice technologies to handle scheduling, billing, intake, referrals and care coordination across voice and text channels.

 

Location: New York, New York 

Type of AI Used: Analytic AI

Formation Bio uses proprietary technology and machine learning to accelerate clinical trials and prescription drug development. It acquires clinical-stage drugs from pharmaceutical companies, universities and biotech firms, then develops them faster and more efficiently through its proprietary AI platform. The company also applies AI to streamline operational workflows including patient recruitment, medical writing, protocol development, biostatistics and adverse event reporting. By addressing the clinical development bottleneck — not drug discovery — Formation Bio enables more promising therapies to reach patients across therapeutic areas including neurology and endocrinology.

 

Finance and Fraud Prevention

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.

 

Location: Cambridge, Massachusetts

Type of AI Used: Analytic AI

Kensho uses machine learning and natural language processing to build AI applications that extract insights from unstructured text and documents. Its services, including Kensho Classify, enable research-quality document analysis and conceptual understanding of content for finance, business, and research applications. The platform combines S&P Global’s data with advanced AI infrastructure to power generative and agentic AI systems across enterprise workflows.

 

Location: Boston, Massachusetts

Type of AI Used: Analytic AI and generative AI

Gradient AI provides AI-powered underwriting and claims automation solutions for the insurance industry. Its platform uses machine learning to predict underwriting and claims risks with greater accuracy, reduce quote turnaround times and lower claim expenses through intelligent automation. The company serves group health, property and casualty and workers’ compensation insurers, helping them improve loss ratios and profitability while streamlining routine decision-making processes.

 

Location: Chicago, Illinois

Type of AI Used: Analytic AI, computer vision AI, conversational AI and generative AI

Morningstar applies artificial intelligence through its Intelligence Engine to simplify investment research and data analysis. Its AI assistant, embedded in Direct Advisory Suite, helps financial advisors streamline research, portfolio analysis, and proposal generation by drawing on Morningstar’s independent data and research. It’s designed automate multi-step workflows — from identifying rating changes to preparing client-ready proposals — while maintaining enterprise-grade security and ensuring client data is never used to train models.

 

Location: New York, New York

Type of AI Used: Analytic AI

Canoe uses machine learning and AI to automate alternative investment workflows, enabling users to collect documents from multiple sources, extract structured data from complex financial documents and deliver insights across asset management platforms. The platform processes unstructured investment data — including capital calls, distribution notices and partner statements — reducing manual work and accelerating reporting timelines for wealth managers, institutional investors, family offices and capital allocators.

 

Location: Boston, Massachusetts

Type of AI Used: Analytic AI

Liberty Mutual applies artificial intelligence across insurance operations to modernize industry challenges. The company also deploys AI for fraud detection, claims automation through computer vision damage assessment trained on 200 million data points and internal productivity tools like LibertyGPT — used by roughly 25 percent of its workforce to save an average 1.5 hours weekly per employee. Plus, through Solaria Labs, its innovation incubator, Liberty prototypes emerging AI applications including large language models and retrieval-augmented generation for insurance challenges.

 

Location: New York, New York

Type of AI Used: Analytic AI and conversational AI

PwC consults with business clients on AI-powered technology solutions across various industries, including finance and insurance. For example, the company has developed AI models for auto insurance providers to automate claims damage detection and classification, enhancing operational efficiency and accuracy. PwC also delivers generative AI implementations for enterprise clients, helping organizations scale AI adoption across workflows and business processes.

 

Location: Milwaukee, Wisconsin

Type of AI Used: Analytic AI and conversational AI

Northwestern Mutual uses AI to improve the customer experience and increase the efficiency of data management across the organization. It has over 150 years of experience helping clients plan for retirement as well as manage investments and find the right insurance products.

 

Location: Oakland, California

Type of AI Used: Analytic AI and conversational AI

Cash App is a peer-to-peer payment platform operated by Block. The app’s employ advanced machine learning algorithms to detect and prevent fraud, analyzing transaction patterns and identifying account takeovers through continuous learning models. Additionally, Cash App uses AI for personalized merchant recommendations and real-time transaction analysis, helping users discover savings while maintaining robust risk mitigation across its payment ecosystem.

 

Location: Singapore

Type of AI Used: Analytic AI

Airwallex uses AI-powered optical character recognition to automatically extract receipt and bill data, eliminating manual entry errors and saving time. The platform’s AI automatically categorizes expenses based on vendor and transaction history, and features an AI-powered expense policy agent that enforces compliance across entities and currencies. Airwallex delivers payments and financial management solutions to more than 150,000 companies worldwide, offering corporate cards, expense management, bill pay, and global payment capabilities across hundreds of countries.

 

Location: Remote First

Type of AI Used: Generative AI

Coinbase is a fintech company working to advance crypto engagement for individuals, businesses and institutions. It’s built an in-house AI application review tool to streamline sorting and prioritizing job candidates, and the company uses AI to power a chatbot for customer interactions. With an emphasis on AI-forward operations, Coinbase aims to recruit talent that embraces AI as a daily collaborator, using it to explore ideas faster, inform decisions and enable quality work.

 

Travel, Transportation and Navigation

AI is 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.

Plus, 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.

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

 

Location: Mountain View, California

Type of AI Used: Analytic AI and computer vision AI

Waymo operates commercial robotaxi services across more than 10 U.S. metropolitan areas and is expanding internationally, providing over 500,000 paid rides weekly. The company's AI-powered Waymo Driver uses advanced sensors — high-resolution cameras, LiDAR, radar and audio receivers — to perceive complex driving environments and make real-time predictions for safe autonomous navigation.

 

Location: Austin, Texas

Type of AI Used: Analytic AI and computer vision AI

Tesla develops and deploys AI-powered autonomous driving technology across its electric vehicle lineup, including the Model 3, Model Y, Model S and Model X. The company’s Full Self-Driving (Supervised) system uses advanced neural networks and real-world driving data to enable automatic braking, lane changes and parking. Tesla's AI infrastructure, including its custom AI4 hardware and Grok AI assistant, continuously learns from fleet data to improve autonomous capabilities. The company markets FSD as a subscription service, positioning autonomous driving as a core software revenue driver alongside vehicle sales.

 

Location: Palo Alto, California

Type of AI Used: Analytic AI and conversational AI

Navan makes software used to manage expenses 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.

 

Location: San Francisco, California

Type of AI Used: Analytic AI

General Motors applies machine learning and AI across transportation and manufacturing. The company deploys AI for autonomous vehicle development, manufacturing optimization, EV charging infrastructure planning and conversational AI assistants in vehicles through partnerships with Google Cloud and Nvidia.

 

Location: San Francisco, California

Type of AI Used: Analytic AI and computer vision AI

Motive is a fleet management platform that combines edge AI and computer vision to detect unsafe driving behaviors in real time, providing driver coaching, telematics and event validation to deliver actionable insights that prevent incidents before they occur. For example, the platform’s AI Dashcam detects over 20 safety events — including fatigue, lane swerving, and eating — with up to 99 percent accuracy, enabling customers to achieve average collision reductions of 80 percent and safety cost savings of 63 percent.

 

Location: Santa Monica, California

Type of AI Used: Computer vision AI

Metropolis uses proprietary computer vision AI to enable frictionless, checkout-free payments in parking facilities and beyond. The platform recognizes individual vehicles and processes transactions without requiring drivers to stop or interact with payment systems. Metropolis operates the largest parking network in the United States, handling more than $5 billion in annual payments across thousands of locations.

 

Location: New York, New York

Type of AI Used: Agentic AI

Fora is a travel platform that equips travel advisors with agentic AI tools for intelligent itinerary generation, workflow automation, and personalized trip planning. The company’s integrated platform combines booking technology, commission infrastructure and supplier connectivity across more than 180,000 global properties. And its agentic AI system — built directly into the advisor portal — enables advisors to onboard clients, collect payments and create itineraries through voice or text prompts.

 

Location: Aurora, Ontario

Type of AI Used: Physical AI, computer vision AI and analytic AI

Magna leverages computer vision for quality inspection, predictive maintenance through condition-based monitoring, autonomous mobile robots for material handling and machine learning for energy optimization and factory orchestration. It also develops advanced driver-assistance systems and autonomous driving technologies, integrating AI with robotics and analytics to enhance manufacturing safety, efficiency and product quality.

 

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.

 

Location: New York, New York

Type of AI Used: Analytic AI

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. The platform connects approximately 200,000 dates per week through its AI-driven matching, making it the leading dating app for relationships and marriages.

 

Location: Santa Monica, California

Type of AI Used: Analytic AI, computer vision AI and conversational AI

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.

 

Online Shopping and 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.

 

Location: Seattle, Washington

Type of AI Used: Analytic AI, computer vision AI and conversational AI

Amazon employs AI across its e-commerce operations, from personalized product recommendations to autonomous warehouse systems. The company operates Amazon Bedrock, a fully managed service providing API access to leading foundation models from multiple providers, enabling developers to build generative AI applications. Amazon’s warehouse robots, including advanced systems like Proteus and Blue Jay, use AI to optimize fulfillment workflows and reduce manual tasks. Through these integrated AI capabilities — spanning recommendation engines, logistics optimization and robotics — Amazon demonstrates how artificial intelligence transforms retail operations and supply chain efficiency at scale.

 

Location: New York, New York

Type of AI Used: Analytic AI and conversational AI

Kustomer is an AI-native customer service platform that delivers personalized support through autonomous AI agents and contextual guidance for human representatives. The platform unifies customer conversations, order history and interaction data in a single timeline, enabling the AI to resolve issues autonomously while helping agents provide informed, personalized responses to customers.

 

Location: Needham, Massachusetts

Type of AI Used: Analytic AI and computer vision AI

SharkNinja deploys AI agents across its direct-to-consumer e-commerce platform and customer service operations to personalize shopping experiences and streamline support. Beyond e-commerce, the company applies AI to quality assurance, business intelligence and product development feedback loops. It manufactures robot vacuums with LiDAR navigation and adaptive suction technology, along with kitchen appliances including air fryers and blenders, embedding AI capabilities throughout its product ecosystem to enhance autonomous operation and user personalization.

 

Location: New York, New York

Type of AI Used: Analytic AI

Riskified uses machine learning to analyze transactions and consumer data in real time, identifying individuals behind online interactions to detect fraud and anomalies. The platform’s unsupervised AI monitors network traffic across billions of historical transactions, flagging suspected fraud rings and organized abuse without human intervention. Plus, Riskified ARIA, its conversational AI analyst, provides merchants with explainable insights into risk patterns and identity behavior.

 

Marketing and Advertising

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.

 

Location: New York, New York

Type of AI Used: Analytic AI

Regal’s cloud-based, AI voice agent automatically generates call summaries and updates customer profiles in real time, enabling contact center teams to streamline operations and scale customer engagement without proportional headcount increases. The tool is useful for tasks like lead qualification, appointment scheduling, collections and customer support — offering a 97 percent containment rate and zero wait times. Regaul integrates with major CCaaS and CRM systems, offering enterprises a scalable alternative to traditional contact center operations while maintaining compliance with SOC2, HIPAA, GDPR and CCPA standards.

 

Location: Boston, Massachusetts

Type of AI Used: Analytic AI and generative AI

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.

 

Location: Marina del Rey, California

Type of AI Used: Analytic AI

System1’s Responsive Acquisition Marketing Platform (RAMP) uses proprietary algorithms, intent data and auctioning technology to match consumers with advertisers across hundreds of verticals — from travel and finance to health and e-commerce. The platform operates omnivertical and omnichannel, adapting to consumer demand across economic cycles to connect the right customers with the right advertisers at the right time.

 

Location: Englewood, Colorado

Type of AI Used: Analytic AI and generative AI

Digible’s AI-powered virtual assistant Fiona helps multifamily, senior living and student housing properties build data-driven marketing and budget plans. Fiona uses predictive analytics and artificial intelligence to generate customized 90-day marketing budgets, optimize media mix recommendations and automatically scan digital properties for compliance risks. The platform integrates budget planning, call tracking and Fair Housing monitoring into a unified marketing operating system designed to streamline operations and maintain compliance.

 

Location: Helsinki, Finland

Type of AI Used: Analytic AI and generative AI

Smartly is an AI-powered advertising platform that unifies creative production, media buying and campaign optimization across channels. The platform uses AI to automate creative design, scale personalized ads and optimize media spend in real time, enabling teams to build and launch campaigns faster while improving performance. Smartly integrates with major social platforms, connected TV and open web channels, serving agencies, performance teams, brand teams and creative teams with tools for collaborative campaign management and cross-channel intelligence.

 

Location: New York, New York

Type of AI Used: Analytic AI

Zeta Global 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.

 

Location: Chicago, Illinois

Type of AI Used: Analytic AI

Prosodica uses AI-powered voice and speech analytics to automatically tag, classify, and score customer conversations, delivering operational intelligence and behavioral insights that help businesses improve customer experiences and agent performance. The platform transforms voice interactions into structured data through speech recognition and natural language processing, enabling real-time coaching, compliance monitoring, and revenue optimization across contact centers and customer service operations.

 

Location: New York, New York

Type of AI Used: Agentic AI, analytic AI and conversational AI

EliseAI is an agentic AI platform that automates communication and operations for housing and healthcare organizations. The platform handles prospect inquiries, resident requests and patient interactions across voice, email, SMS and chat channels, enabling teams to manage complex workflows like leasing, scheduling, maintenance requests and patient communication 24/7.

 

Location: New York, New York

Type of AI Used: Analytic AI and generative AI

RTB House curates 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.

 

Location: Santa Monica, California

Type of AI Used: Analytic AI and computer vision AI

GumGum uses AI-powered contextual intelligence to optimize advertising. Its Verity platform analyzes video, audio, image and written content to understand audience mindset and determine ideal ad placements. By identifying moments when consumers are most receptive — what GumGum calls the “Mindset Graph” — the platform delivers campaigns that reach audiences when they‘re most likely to engage, automating the process of matching ads to real-time behavioral signals rather than relying on third-party data.

 

Location: New York, New York

Type of AI Used: Analytic AI and generative AI 

Agentio automates creator advertising campaigns, enabling brands to scale creator programs across YouTube, Meta and other sites in days rather than months. The platform uses machine learning to match brands with verified creators, predict campaign performance and handle the full workflow — from creator selection and briefing to measurement and optimization — while preserving creative control.

 

Location: Fully Remote

Type of AI Used: Agentic AI, analytic AI and generative AI

Jasper automates content creation, campaign planning and multi-channel execution while maintaining brand consistency through Jasper IQ — an intelligence layer embedding brand voice, style guides and audience profiles into every output. With content pipelines for repeatable workflows and more than 100 specialized agents for SEO, personalization and campaign execution, Jasper helps transform marketing strategy into measurable results across every channel and market.

 

Writing, Content and Art

Generative AI is being leveraged across creative industries to produce written content, images, videos and art in seconds. 

These examples below showcase how AI tools are helping everyday content creation:

 

Location: San Francisco, California

Type of AI Used: Analytic AI, conversational AI and generative AI

Superhuman delivers AI-powered writing assistance and productivity tools across email, documents, and collaborative workspaces. The Superhuman suite combines Grammarly's contextually aware writing agents, Superhuman Mail for inbox management, Coda for team collaboration, and Go for proactive AI assistance—enabling teams to work faster and more effectively across all their tools and applications.

 

Location: San Francisco, California

Type of AI Used: Computer vision AI and generative AI

Hedra builds character-driven video generation models and products. Its proprietary Character-3 omnimodal foundation model generates lifelike talking character videos from images, text, and voice inputs, with precise lip-sync, facial micro-expressions, and body language. Meanwhile, Hedra Studio, its web-based platform, supports multiple input formats and aspect ratio adjustments, enabling creators and enterprises to produce narrative-driven videos at scale.

 

Business, Optimization and Analytics

Artificial intelligence is transforming nearly every corner of the business world. From optimizing supply chains to streamlining the employee onboarding process, AI is helping companies move faster, work smarter and serve customers more effectively. And as adoption accelerates, businesses are beginning to explore even more advanced tools — including agentic AI, a fast-emerging class of systems that can plan, reason and act with impressive levels of autonomy.

 

Location: San Francisco, California

Type of AI Used: Agentic AI, analytic AI and generative AI

Deepgram offers enterprise-grade voice AI through unified APIs for speech-to-text, text-to-speech, and voice agents, with specialized models for contact centers, medical transcription and speech analytics. The platform delivers real-time transcription accuracy and supports deployment in cloud and self-hosted environments, enabling organizations across healthcare, customer service and conversational AI to build intelligent voice experiences at scale.

 

Location: San Francisco, California

Type of AI Used: Analytic AI and generative AI

Harvey AI is a generative AI platform designed for legal professionals that streamlines contract analysis, due diligence, compliance and litigation work. Built on advanced language models and trained on legal data, Harvey enables law firms and in-house legal teams to process complex legal documents, conduct research and draft legal content with source citations. The platform features domain-specific AI tools including an Assistant for document analysis and drafting, Vault for secure document storage and bulk analysis, Knowledge for legal research, and Workflow Agents that execute complex legal tasks end-to-end.

 

Location: San Francisco, California

Type of AI Used: Analytic AI

Dropbox offers Dropbox Dash, an 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.

 

Location: Boston, Massachusetts

Type of AI Used: Analytic AI

Charted delivers AI-powered accounts payable automation built natively into NetSuite, eliminating manual invoice processing, approvals, and payment workflows. Its Invoice AI learns vendor formats and coding patterns without manual template setup, enabling finance teams to achieve up to 70 percent efficiency gains and accelerate month-end close by days.

 

Location: San Francisco, California

Type of AI Used: Agentic AI, analytic AI and generative AI

Domino Data Lab helps businesses accelerate development and deployment of data science work while managing costs and ensuring responsible AI practices across hybrid cloud environments. The platform enables organizations to develop, deploy and govern AI applications at scale, with integrated tools for model development, MLOps, collaboration and governance.

 

Location: San Francisco, California 

Type of AI Used: Analytic AI

Monte Carlo unifies data and agent observability to monitor, troubleshoot and improve production AI systems. The platform combines machine learning-powered anomaly detection with data quality monitoring, lineage tracking and impact analysis to help organizations prevent data downtime and ensure reliable AI deployments.

 

Location: San Francisco, California

Type of AI Used: Analytic AI and generative AI

Notion is a workspace that integrates autonomous agents, enterprise search and AI-powered writing tools to streamline operations across industries. Its suite of AI capabilities — including text generation, data analysis, and multi-step task automation — enables teams in consulting, SaaS, marketing and manufacturing to automate workflows, synthesize information from connected apps, and accelerate decision-making.

 

Location: Chicago, Illinois

Type of AI Used: Analytic AI

LogicGate automates risk compliance and governance workflows across financial services, healthcare, retail and other regulated industries. The platform uses AI and agentic automation to streamline evidence collection, control testing and compliance reporting. Key capabilities include automated evidence monitoring, no-code workflow configuration and AI-driven reporting insights that help organizations shift from manual, point-in-time compliance to continuous, real-time risk management.

 

Location: San Mateo, California

Type of AI Used: Conversational AI

Sendbird provides a chat API and AI agent platform that lets developers integrate in-app messaging, voice and video into applications. Beyond traditional chat, the company now emphasizes generative AI capabilities through its Delight AI agent platform, enabling businesses to deploy omnichannel AI agents for customer service, sales and support across voice, email, SMS, WhatsApp, web and mobile channels. The platform combines real-time communication infrastructure with AI scalability features including modular multi-agent architecture and multilingual support.

 

Location: Paris, France

360Learning is an AI-powered learning management platform that enables enterprises to build custom course content and deliver personalized employee upskilling at scale. Its collaborative learning model lets internal subject-matter experts create and share knowledge directly within the platform, while AI handles the heavy lifting — from AI-generated quizzes and skills suggestions to automated upskilling campaigns. The ’s AI Companion, launched in 2025 and updated through 2026, adds conversational search across learning content, agentic catalog management, and natural-language analytics, making it a practical example of AI streamlining workplace learning and development operations. eLearning Industry has ranked it the #1 AI LMS for three consecutive years.

 

Location: Denver, Colorado

Type of AI Used: Analytic AI and conversational AI

Accuris combines natural language processing, machine learning and document understanding to help engineers access answers from nearly 3 million standards. The platform's AI assistant provides citation-backed responses grounded in licensed content, enabling teams to interpret complex requirements faster while maintaining full traceability. By unifying technical knowledge with advanced AI, Accuris streamlines engineering workflows across aerospace, defense, manufacturing, energy and medical device industries — reducing compliance effort and accelerating time-to-market for mission-critical applications.

 

Location: New York, New York

Type of AI Used: Analytic AI

Altana applies artificial intelligence and agentic workflows to global supply chain data, enabling businesses, logistics providers and governments to build more resilient value chains and streamline trade compliance. The platform maps extended supplier and distribution networks into a unified system, revealing product origins and supply chain risks. By connecting stakeholders on a collaborative network, Altana aims to help manufacturers reduce costs, prevent border disruptions and ensure regulatory compliance at scale.

 

Location: Chicago, Illinois

Type of AI Used: Analytic AI

Quantum Rise delivers AI-driven consulting services to help businesses achieve measurable business outcomes through reduced costs and increased revenue. The copmpany builds agentic AI systems, redesigns workflows and implements governance frameworks to automate operations across industries.

 

Location: Fully Remote

Type of AI Used: Analytic AI, conversational AI and generative AI

Obvious (formerly Flatfile) operates an AI data preparation and migration platform that enables enterprises to extract, prepare, map, transform and validate data at scale. The platform’s AI Transform feature allows teams to make accurate bulk edits to large datasets using natural language commands — describing desired changes and having the system instantly apply those edits across entire files.

 

Location: New York, New York

Type of AI Used: Agentic AI and analytic AI

Hebbia is a purpose-built for finance and legal professionals to extract, structure and analyze large volumes of documents. The platform enables users to build and deploy custom AI agents that reason over millions of pages simultaneously, automating workflows across institutional investing, investment banking, M&A, credit analysis and corporate strategy.

 

Location: Chicago, Illinois

Type of AI Used: Analytic AI

Dscout uses AI-powered analysis to transform user research data into actionable insights. The platform’s Dscout AI Studio features agentic AI that drafts studies from research briefs, moderates sessions with dynamic follow-up questions and automatically surfaces patterns, themes and notable moments from qualitative feedback.

 

Location: New York, New York

Type of AI Used: Agentic AI, analytic AI and conversational AI

Superblocks is a low-code platform that enables engineering and business teams to rapidly build production-grade internal applications with AI. The company’s Clark AI agent generates full-stack enterprise apps while automatically enforcing organizational standards — including design systems, integrations, permissions, audit logging and security policies.

 

Location: San Francisco, California

Type of AI Used: Analytic AI

WorkWhile’s proprietary AI engine matches hourly workers with shifts aligned to their skills, preferences and availability across industries including warehousing, logistics, hospitality, events and food services. Beyond matching, WorkWhile’s platform — including its Newday workforce management system and Coach AI talent agent — streamlines scheduling, attendance tracking, payroll and compliance for blended workforces combining full-time and flexible workers.

 

Location: Chicago, Illinois

Type of AI Used: Agentic AI

Bellagent is an enterprise-level AI agent platform that automates everyday business operations across more than 1,300 applications. The platform’s ready-to-run agents essentially function as digital team members, automating customer support, lead qualification, scheduling and internal workflows across industries including professional services, legal, healthcare, real estate, retail and e-commerce.

 

Location: Chicago, Illinois

Type of AI Used: Analytic AI

Teragonia uses AI to equip private equity firms and portfolio companies with real-time, function-specific intelligence across finance, revenue, product and service operations. The platform’s FibronAI orchestration core automatically ingests, models and harmonizes structured and unstructured data — from ERPs and CRMs to contracts and external sources — to surface hidden value-creation opportunities.

 

Location: New York, New York

Type of AI Used: Conversational AI and generative AI 

Kepler is the verifiable AI platform for financial research, delivering cited answers that analysts can use in investment committees or under audit. The platform combines frontier language models for interpretation with deterministic code for data retrieval and calculation, mediated by a proprietary financial ontology. Every figure traces to its source filing, page and line item.

 

Frequently Asked Questions