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.

You’re welcome to re-use the infographic below as long as the content remains unmodified and in full.

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

TOPBOT Applied AI Book Enterprise AI Machine Learning Data Science B2B Software Landscape

 

Business Intelligence (BI)

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. 

  1. Alation
  2. Anodot
  3. Ayasdi
  4. BMC Remedy
  5. DataSift
  6. Enigma
  7. Import.io
  8. Kyndi
  9. Maana
  10. Paxata
  11. ServiceNow
  12. Sisense
  13. Tamr
  14. Trifacta
  15. Uptake

 

Productivity

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.

  1. Brainasoft
  2. Findo
  3. Clara Labs
  4. FreeBusy
  5. Julie Desk
  6. Kono
  7. NextOS
  8. Sapho
  9. SkipFlag
  10. Talla
  11. X.ai
  12. Zoom.ai

 

Customer Management

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. 

  1. ActionIQ
  2. Augment
  3. CaliberMind
  4. Clarabridge
  5. Clinc
  6. DigitalGenius
  7. Eloquent Labs
  8. Inbenta
  9. Interactions
  10. Kasisto
  11. LivePerson
  12. Lytics
  13. Luminoso
  14. Msg.ai
  15. Narvar
  16. Personetics
  17. Pypestream
  18. Segment
  19. Solvvy
  20. Wise.io
  21. Zendesk

 

HR & Talent

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. 

  1. Entelo
  2. Fama
  3. Gigster
  4. hiQ Labs
  5. HireVue
  6. Fetcher
  7. Snap.hr
  8. SpringRole
  9. TalentSonar
  10. Textio
  11. UpScored
  12. Wade & Wendy

 

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 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.

  1. 6Sense
  2. Affinity
  3. Amplero
  4. Aviso
  5. BrightFunnel
  6. Clari
  7. Collective[i]
  8. Conversica
  9. Emarsys
  10. Gong.io
  11. InsideSales
  12. Lattice Engines
  13. Mintigo
  14. Radius
  15. Sudo
  16. Salesforce Einstein
  17. Tact
  18. Zensight

 

Consumer Marketing

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.

  1. Albert.ai
  2. AirPR
  3. Appier
  4. Automated Insights
  5. GumGum
  6. Invoca
  7. Lexalytics
  8. LiftIgniter
  9. NetBase
  10. Persado

 

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 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. 

  1. AppZen
  2. Captricity
  3. CognitiveScale
  4. HyperScience
  5. UIPath
  6. Softworks AI
  7. Narrative Science
  8. Omnius
  9. OpenText
  10. Parascript

Digital Commerce

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.

  1. Artifacia
  2. BloomReach
  3. Certona
  4. Criteo
  5. Infinite Analytics
  6. Layer 6 AI
  7. Mona
  8. Monetate
  9. Pinterest
  10. Retail Rocket
  11. Sentient Technologies

 

Data Science

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.

  1. Alteryx
  2. Anaconda
  3. Angoss
  4. BigML
  5. DataBricks
  6. Dataiku
  7. DataRobot
  8. Deepsense.ai
  9. Domino Data Labs
  10. Figure Eight
  11. KNIME
  12. Petuum
  13. Playment.io
  14. RapidMiner
  15. Razorthink
  16. SigOpt

 

Engineering & IT

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.

  1. AntWorks
  2. Arago
  3. Bonsai
  4. Cycorp
  5. Diffbot
  6. Dynatrace
  7. FogLogic
  8. Fuzzy.ai
  9. Instana
  10. Kite
  11. Kryon Systems
  12. Logz.io
  13. Metricly
  14. Rainforest
  15. ServiceAide
  16. SignifAI
  17. SparkCognition

 

Security & Risk

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.

  1. Cylance
  2. Darktrace
  3. Deep Instinct
  4. Demisto
  5. Drawbridge Networks
  6. Graphistry
  7. LeapYear
  8. SentinelOne
  9. Sift Science
  10. SignalSense
  11. Vectra Networks
  12. Versive
  13. Zimperium

 

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. 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.

  1. Algomus
  2. Arimo
  3. C3 IoT
  4. DeepVu
  5. GE Predix
  6. Kinaxis
  7. Logility
  8. Skuchain
  9. Tradeshift

 

Logistics & Supply Chain Management

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.

  1. Aera Technology
  2. Alloy
  3. Bext360
  4. ClearMetal
  5. Convoy
  6. Dematic
  7. Falkonry
  8. Flexport
  9. Llamasoft
  10. Optoro
  11. Presenso
  12. Simpliship
  13. Swisslog

 

Evaluating Third-Party AI Solutions

Artificial intelligence and machine learning are complex and challenging technologies to evaluate, especially if you’re not familiar with the industry terminologies and best practices.

In order to help you choose the best solution for your business use case, we recommend you read our bestselling book, Applied AI: A Handbook For Business Leaders, which is designed to give non-technical executives a foundational understanding of AI and machine learning technologies and help you make better decisions for your business.

The book is available via digital download below or via purchase on Amazon.

Applied AI Book For Business Leaders By Mariya Yao Adelyn Zhou Marlene Jia

Applied AI Book For Business Leaders By Mariya Yao Adelyn Zhou Marlene Jia

 

Conclusion

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.

Would you like to be included in future updates to our enterprise AI landscape? Simply fill out the contact form below so we can keep track of your request.