Enterprise companies comprise a $3.4 trillion market worldwide of which an increasingly larger share is being allocated to artificial intelligence technologies.
By our definition, “enterprise” technology companies create tools for workplace roles and functions that a large number of businesses use. For example, Salesforce is the primary enterprise software used by sales professionals in a company. Also known as a type of customer relationship management software, or CRM, it is the system of record for sales professionals to enter in their contacts, progress of leads, and for sales metrics to be tracked. Any company directly selling their products and services would benefit from a CRM.
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 broken up our landscape of enterprise AI solutions into 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.
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Confused by the myriad of AI solutions in the market? We can help you identify the right AI technologies for your most critical business use cases.
Enterprise AI Companies You Should Know
- Business Intelligence
- Customer Management
- HR & Talent
- B2B Sales & Marketing
- Consumer Marketing
- Finance & Operations
- Digital Commerce
- Data Science
- Engineering & IT
- Security & Risk
- Industrials & Manufacturing
- Logistics & Supply Chain
- Legal & Compliance
This function derives intelligence from company data, encompasses 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 Paxata and Trifacta, to connecting data more effectively from different silos like Tamr and Alation, enterprise companies are improving BI workflows with artificial intelligence.
- BMC Remedy
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 X.ai, FreeBusy, and Clara Labs.
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 sift through your customer service data and automate customer service operations. 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.
- Eloquent Labs
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 Entelo and Scout work from the top of the funnel to get you the most qualified candidates while others like hiQ Labs utilize public data to warn you of staff attrition risks and enable you to create retention strategies.
- hiQ Labs
- Wade & Wendy
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 Lattice Engines and Mintigo utilize thousands of data sources to surface the most qualified prospects and opportunities. You also have Salesforce’s Einstein who has the intention of bringing AI and automation throughout the entire sales ecosystem.
- Lattice Engines
- Salesforce Einstein
So much data and intelligence can be gathered about your consumers through social channels, distribution channels, media channels, etc. Smart tools can not only crawl through this data, but analyze and understand what’s being said or done. Lexalytics is a text analytics platform that translates billions of unstructured data pieces and online signals into actionable insights for the company. GumGum uses deep learning and modern computer vision techniques to identify branded content in user-generated media. Brands now have a better understanding of their customer segments, behaviors, and sentiments.
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 HyperScience, SoftWorks, OpenText, and Parascript automate back office operations like form processing and data extraction through AI. 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. The tools in this space reap immediate returns for companies due to the volume and repetitive nature of some of the tasks.
- Softworks AI
- Narrative Science
More consumers are transacting online, making conversions a critical area of focus for retail and e-commerce companies. Sentient Technologies analyzes user actions against the product catalog and is able to recommend products more effectively while also creating a personalized shopper experience while the shopper explores. 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.
- Infinite Analytics
- Layer 6 AI
- Retail Rocket
- Sentient Technologies
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. With the rise of data science professionals came new tools and platforms. DataRobot and Domina Data Lab are data science platforms that assists data scientists in building and deploying models quickly and more efficiently.
- Domino Data Labs
- Figure Eight
Even software engineering can be accelerated and automated by AI. Diffbot uses a combination of AI techniques like computer vision, NLP, and machine learning to enable developers to extract and understand objects from any web page. Bonsai removes layers of complexity to make programming AI models more accessible. Rainforest utilizes intelligent crowdtesting to QA in order to keep up with fast-moving development teams.
- Kryon Systems
As more users transact online, security & risk becomes a bigger challenge for enterprises. Security and risk companies usually fall into two categories: 1) companies that focus on detection and risk mitigation of potential fraud and cybercrime and 2) companies that automate and scale security operations. In the first categories are companies like Sift Science and Darktrace which are AI-driven platforms that monitor and track thousands of anomalies to detect fraud and cybercrime. Demisto falls into the second category, working as an incident response platform, reducing time spent responding and following the proper SLA guidelines while also automating inquiries into the incident.
- Deep Instinct
- Drawbridge Networks
- Sift Science
- Vectra Networks
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. DeepVu leverages deep reinforcement learning to assess supply chain risk and accurately forecast future demand. Arimo analyzes historical data in order to provide equipment downtime monitoring, manage energy being used efficiently, detect anomalies in production, and more.
Amazon is not the only technology company revolutionizing the way we transport goods. Upstarts like Flexport are digitizing and optimizing shipping, logistics, and supply chain management while companies like Convoy make it easier for independent carriers to find on-demand jobs.
- Aera Technology
The use of legal AI is allowing large law departments to cut down on manual everyday tasks and devote more time to more strategic business work. There has been an increase of 65% in legal technology companies utilizing AI to meet the demand of under-pressure in-house lawyers at enterprise companies. Current applications of legal AI includes everything from drafting and reviewing contracts, mining documents in discovery and due diligence, answering routine questions, and sifting data to predict outcomes.
- Kira Systems
- Lex Machina
- Neota Logic
- Ross Intelligence
- TradeMark Now
- Westlaw Edge
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. If you need help finding the right AI solutions for your team and company, you can also get expert advisory for your software evaluation and purchasing process.
As we mentioned in the introduction, there are many ways to define and categorize companies in a complex enterprise taxonomy. 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.