By our definition, “enterprise” technology companies create tools for workplace roles and functions that a large number of businesses use.
Plenty of enterprise companies use combinations of automated data science, machine learning, and modern deep learning approaches for tasks like data preparation, predictive analytics, and process automation. Many are well-established players with deep domain expertise and product functionality. Others are hot new startups applying artificial intelligence to new problems. We cover a mix of both.
To help you identify the best tools for your business, we’ve shortlisted the most promising companies below based on research papers, case studies, customer testimonials, and industry assessments.
We’ve also created a directory of enterprise AI solutions based on functional categories to match organizational workflows and use cases. Most of these enterprise companies can be classified in multiple categories, but we focused on the primary value add and differentiation for each company.
You’re welcome to re-use the infographic below as long as the content remains unmodified and in full.
Enterprise AI Companies You Should Know
- Business Intelligence
- Customer Management
- HR & Recruiting
- B2B Sales & Marketing
- Consumer Marketing
- Finance & Operations
- Digital Commerce
- Data Science & ML
- Engineering & IT
- Security & Risk
- Industrials & Manufacturing
- Logistics & Supply Chain
- Legal & Compliance
- Service Providers
Business Intelligence (BI)
BI functions derive usable insights from company data and encompass the business applications, tools, and workflows that bring together information from all parts of the company to enable smart analysis. From streamlining data preparation like Trifacta, to connecting data more effectively from different silos like Tamr and Alation, enterprise companies are improving BI workflows with artificial intelligence.
Productivity at work is often stunted by a myriad of tiny tasks that consume your attention, i.e. “death by a thousand cuts.” Many productivity tools have emerged to eliminate such tasks, such as the endless back and forth required to schedule meetings. Luckily, many of these productivity tools are virtual scheduling assistants like Julie Desk, X.ai, and Zoom.ai.
Taking care of your customers is no easy task. Enterprise companies have recognized this critical area as ripe for disruption with artificial intelligence. DigitalGenius utilizes AI to fully automate resolutions for support tickets leading to higher customer satisfaction and operational savings. Inbenta’s AI-powered natural language search enables delivery of self-service support in forums and virtual agents. Luminoso creates visual representations of customer feedback, allowing companies to better understand what consumers want.
HR & Recruiting
With the average tenure of a hire getting shorter, hiring and talent management is arguably one of the most difficult areas for every company to tackle. Where can you find the right candidates and how do you keep hires engaged? Companies like HireVue, Hiretual, and AllyO offer comprehensive end-to-end AI-driven recruiting solutions, while others like Wade & Wendy and Paradox introduce chatbots that assist recruiters with all kinds of repetitive tasks.
B2B Sales & Marketing
No one likes to waste time tediously doing data entry or spend hours sometimes googling and sifting through LinkedIn trying to get that marginal bit of information on a lead. Perhaps that’s why professionals in these functions are willing to embrace and experiment with new tools. Some automate data entry and improve forecasting accuracy like the AI-powered sales assistant Tact, while others like Anaplan, Aviso, and Clari enhance decision-making by providing end-to-end sales analytics and forecasts.
So much data and intelligence can be gathered about your consumers through various channels to understand what’s being said or done. AI-driven solutions can also help to create content that is more likely to attract customers. Persado generates a precise combination of words, phrases, and images that inspires action. GumGum uses deep learning and modern computer vision techniques to place contextually relevant ads where the potential customers are most likely to see them.
Finance & Operations
Finance & operations includes the back office, forecasting, accounting, and operational roles required to run a company. Since nobody likes paperwork, this area is ripe for automation. Companies like UiPath and Kryon Systems offer intelligent Robotic Process Automation (RPA) solutions, facilitating the efficient and accurate execution of business processes. Another company called AppZen is an automated audit platform that can instantly detect fraud and compliance issues, freeing up T&E teams from tedious manual audits and checks.
More consumers are transacting online, making conversions a critical area of focus for retail and e-commerce companies. Criteo leverages its AI engine to increase brand awareness, traffic, and sales through intelligent product recommendations and dynamic optimization. Utilizing NLP and machine learning techniques, BloomReach is able to adapt site content to capture traffic and provide personalized search and categories to make it more relevant to the user.
Data Science & ML
Companies need the right format, volume, and understanding of data before they can effectively deploy artificial intelligence solutions, making data science and management critical to any ambitious enterprise. DataRobot, Databricks, and Domino Data Lab are data science platforms that assist data scientists in building and deploying models quickly and more efficiently.
Engineering & IT
Even software engineering can be accelerated and automated by AI. Logz.io uses AI and machine learning algorithms to find critical events in the volumes of information that are constantly generated in IT environments. Arago introduces an AI-driven solution that increases end-to-end process automation rates from 30% to 90%. Rainforest utilizes intelligent crowd-testing to QA in order to keep up with fast-moving development teams.
Security & Risk
As more users transact online, security & risk becomes a bigger challenge for enterprises. Security and risk companies focus on detection and risk mitigation of potential fraud and cybercrime. Companies like Sift Science and Darktrace offer AI-driven solutions to monitor and track thousands of anomalies to detect fraud and cybercrime.
Industrials & Manufacturing
Industrials are related to the manufacturing, supply chain, and distribution of goods. This sector is generally not vertically integrated and therefore usually suffers from decentralized data. Companies like Arundo and Falkonry help improve operational management with automated data analytics solutions. Augury’s platform listens to machine logs, analyzes data in real-time, and provides accurate and actionable machine health insights.
Logistics & Supply Chain
Amazon is not the only technology company revolutionizing the way we transport goods. Optoro uses machine learning and predictive analytics to route returned and excess inventory to the next best home. ClearMetal leverages data science to solve the most complex operational problems in the supply chain.
Legal & Compliance
Current applications of legal AI include everything from drafting and reviewing contracts, mining documents in discovery and due diligence, answering routine questions, and sifting data to predict outcomes. For example, LawGeex uses AI to automate the review and approval process of everyday business contracts. Kira Systems helps enterprises uncover relevant information from unstructured contracts and documents.
The COVID-19 pandemic has made it clear that the application of AI in medicine is more urgent than ever. Healthcare AI companies usually fall into two categories: 1) companies that address certain medical problems such as diagnosing chest X-rays or interpreting electrocardiograms and 2) companies that automate repetitive tasks that are usually carried on by doctors and nurses.
In the first category are companies like Viz.ai with an AI-powered solution that detects and alerts stroke teams to suspected large vessel occlusion strokes. Olive falls into the second category by using healthcare-specific skills and addressing common bottlenecks with robotic processes automation.
Companies that fall into this category build custom AI & ML technologies to solve specific business problems of their customers. Founded by one of the most recognizable names in AI, Dr. Andrew Ng, Landing AI helps generate practical AI value for companies worldwide. Element AI, co-founded by yet another leading AI researcher Yoshua Bengio, also helps enterprises operationalize AI.
We encourage you to use this list of enterprise AI companies as a starting point for your own research into technology solutions for your organizations. Many of the companies we listed above add value across multiple functional categories and verticals. Most of them also use a wide range of AI and machine learning technologies, ranging from computer vision to NLP / NLU. You’ll need to conduct further investigations to find the right fit for you.
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