Enterprise AI companies are increasingly growing in value and relevance. Global IT spending is expected to soon reach, and surpass $3.8 trillion. Enterprise AI companies are at the heart of this growth.
This article will explain not only what enterprise AI companies are but also what they produce. We’ll also look at how enterprise AI companies are impacting in various fields such as finance, logistics, and healthcare.
What are Enterprise AI companies?
Enterprise AI companies produce enterprise software. This is also known as enterprise application software or EAS for short.
Generally, EAS is a large-scale software developed with the aim of supporting or solving organization-wide problems.
Software developed by enterprise AI companies can perform a number of different roles. Its function varies depending on the task and sector it is designed for.
In other words, EAS is software that “takes care of a majority of tasks and problems inherent to the enterprise, then it can be defined as enterprise software”.
Lots of enterprise AI companies use a combination of machine learning, deep learning, and data science solutions. This combination enables complex tasks such as data preparation or predictive analytics to be carried out quickly and reliably.
Enterprise AI Companies You Should Know
Some enterprise AI companies are established names, backed by decades of experience.
Other enterprises AI companies are relative newcomers, adopting a fresh approach to AI and problem-solving.
This article and infographic will seek to highlight a combination of both.
This infographic provides a vision on where companies need to position themselves to maximize their return on investment, create new revenue streams, identify which channel partners will maximize their go-to-market strategies
And focus on the real competitors for mergers and acquisitions as well as product development.
To help you identify the best AI enterprise software for your business, we’ve segmented the landscape of enterprise AI solutions into categories.
A lot of these enterprise companies can be classified in multiple categories, however, we have focused on their primary differentiation features.
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The automotive industry is at the cutting edge of using artificial intelligence to support, imitate, and augment human action.
Self-driving car companies and semi-autonomous vehicles of the future will rely heavily on AI systems from leveraging advanced reaction times, mapping, and machine-based systems.
AI can make life in the car, safer, more convenient for both the passenger and driver.
- Iris Automation
- Perceptive Automata
Aeye is one of many enterprise AI companies driving innovation in the automotive industry. They develop artificial perception platforms.
This is a form of data collection and processing that helps autonomous vehicles are the world around them.
Deepmap delivers adaptive mapping solutions for autonomous vehicles. Driven by AI and sophisticated tools their making solutions work on a range of terrains.
Similarly, Mapillary is developing computer vision approaches to deliver street-level imagery.
Perceptive automata are just one of the enterprise AI companies using computer vision and AI to help autonomous vehicles to safely navigate the streets.
Similarly, DeepScale develops deep neural networks that help vehicles identify potential hazards.
This can be applied in assisted parking systems as well as autonomous driving solutions.
Their systems help drones and aircraft identify and evade obstacles out of their line of sight.
Business to Business (B2B) Sales
Identifying profitable leads can be time-consuming. Developing B2B leads and sales often require repetitive, manual processes such as data entry.
In addition to this painstaking research is also often required to help identify vital information.
In these areas, enterprise AI companies can use automation to make a real impact.
6Sense develops intelligent software that enables companies to optimize the buying journey.
The company’s Dark Funnel platform allows buying signals from “multiple people, across every channel” to be deeply analyzed.
This application of machine learning enables more data to be processed into usable information.
Leading companies such as Cisco are already working with 6Sense. This collaboration is transforming Cisco’s account business management.
The Cisco demand center believes that with 6Sense they can “predict better than 80% where we think accounts are about to have a booking event.”
Similarly, Amplero is another one of many enterprise AI companies using machine learning to uncover insights in customer databases.
Once identified Amplero customers can develop this information into a personalized, highly effective message for each segment.
This application of enterprise AI enables companies to optimize marketing campaigns.
When done correctly this enables the user to improve marketing “velocity and drive business KPIs”.
- Lattice Engines
- Salesforce Einstein
Smart Solutions to Enhance Profitability
Setting it apart from other enterprise AI companies, Aviso’s Guidance Platform aims to close “the loop from forecasting to deal actions”.
Aviso’s software extracts data from various sources, including churn and billing to create its own time-series database.
When presented in this form the system is able to predict future outcomes, enabling the most profitable actions to be pursued.
K.V. Rayo, one of the system’s developers explained that banks can’t make “business decisions without quant analysis. We see a world very soon where the same quant analysis becomes a must-have for enterprises. Our opportunity is to make quant analysis accessible for the enterprise.”
The company estimates that the market for this software is at least $4.5 billion.
Terminus recently ranked 21st on Deloitte’s Technology Fast 500. They are one of the leading enterprise AI companies delivering account-based marketing platforms.
Terminus software delivers an all-in-one account-based marketing solution. Aiming to simplify the process they aim to help customers deliver more of their revenue goals.
The software enables users to target the most profitable accounts with “dynamic data” and “multi-channel campaigns.
Once engaged, sales can be activated by “separating signal from the noise”.
Terminus has already helped a number of companies including Paramate. Here Paramate has used Terminus’s platforms to lower customer acquisition costs by 60%.
AI enterprise solutions to Improve Communication and Revenue
Affinity analyse data points, enabling businesses to visualize data points.
This helps to improve connectivity and communication. Conversica is one of many enterprise AI companies delivering chatbots.
Driven by AI and machine learning chatbots help to improve customer or consumer engagement.
They are also helping drive AI in marketing and operations.
Collective use of intelligent tools to map enterprise buying behavior.
This, when turned into useful data, helps drive B2B sales, and improve revenues.
Driven by AI and smart technologies this helps businesses connect with customers.
Tact uses similar technologies to deliver a flexible workflow.
This enables sellers to access a frictionless platform that allows them to engage with consumers.
Gong turns data into insights allowing businesses to better connect and engage their customer base.
Einstein provides ways to process different forms of data. Their solutions enable users to make personalized product suggestions and recommendations.
Similarly, Lattice delivers platforms that process data, enabling B2B enterprises to grow quickly.
Business intelligence is the process of deriving intelligence or insights from company data.
This is a wide-ranging task, drawing different tools, workflows and business applications together from all over an organization.
When done successfully this information can be processed delivering smart insights and analysis.
This enables us to make the most of the data that would otherwise go unused.
One of the many enterprise AI companies leading the way in this area is RapidMiner.
The company was named a visionary in Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms 2020.
RapidMiner’s platforms deliver rapid business impact information enabling users to drive revenue while reducing costs.
These insights can be derived and implemented in a range of ways.
For example, RapidMiner has helped Lufthansa to increase its operational productivity. This was done by creating new models better able to predict flight arrival times.
Another one of the Enterprise AI companies leading the way in revolutionizing Business Intelligence is Trifacta.
Like other enterprise AI companies they aim to aid clients in the process of transforming raw data into analysis-ready information.
According to Forbes, Trifacta uses business analysts “in the data preparation process, using tools designed to discover, structure, clean, enrich, and optimize their data assets to drive business value”.
In addition, the company also utilizes machine learning and AI.
This combination guides users towards the derived insights that will return the quickest or most profitable results.
GlaxoSmithKline is using Trifacta software as part of its Data Centre of Excellence’s data platform.
This partnership is allowing GSK to access a broader range of data, enabling “increased innovation in drug development”.
Paxata is one of the enterprise AI companies aiming to streamline data preparation.
Paxata aims to put companies on the “fastest path to enterprise data preparation”.
Their information management, enterprise-grade platforms enable users to access governed, self-service data preparation.
This is scalable and can be carried out quickly and efficiently. Organizations such as Standard Charter and Precision Profile are already benefiting from Paxata’s approach to data processing.
Uptake produces AI software for the heavy industries. Their solutions help to turn raw data into actionable insights, helping the industry to perform at its optimum level.
This enables the user to turn masses of unstructured data into actionable insights.
These insights can be used to optimize operations as well as helping operations to realize the best, possible outcomes.
H2O provides open-source platforms, allowing users to access scalable data processing solutions.
Another of the enterprise AI companies operating in this area is Sisense. Their API cloud technology enables users to turn data into analytical apps.
Cloudera delivers flexible cloud-based solutions. These help users to transform raw, structured, and unstructured data sets.
DataSift also offers raw and unstructured data processing solutions. The insights derived from these solutions can enable organizations to optimize and improve processes.
Ayasdi’s AI and machine learning-driven solutions help financial services to optimize performance while minimizing risk.
ServiceNow uses AI and sophisticated tools to optimise workflow and realize digital opportunities.
Manna uses AI and sophisticated tools to help companies optimise digital adaptation processes.
Again this helps users to make more use of raw and complex data. Similarly, Enigma also helps businesses to adapt to the digital and automated world.
Businesses adapted to the digital world are best placed to make use of the increasing amounts of data people produce.
This enables businesses to optimize and personalize performance and services, improving customer engagement and retention.
Avande also uses AI and sophisticated tools to make full and partial automation easier.
Their flexible solutions can be adapted for a range of purposes.
Kyndi offers AI and intelligent solutions. These help organizations to achieve critical long-term goals.
Their insights also help to inform strategic decisions and risk management.
The Domo business cloud uses sophisticated tools and automation to speed up the processing of business-critical tools.
Alation provides data catalogs. These enable employees to quickly access the information they require.
Anodot solutions provide real-time monitoring, allowing businesses to respond quickly to any developments.
Cyber Security and Risk
Business is increasingly being carried out online or remotely. Consequently, security and risk is a growing area of focus for enterprise AI companies.
In this sector enterprise, AI companies fall into one of two areas. Firstly some enterprise AI companies focus on detecting crimes and cybercrimes.
Their efforts also focus on the risk mitigation of potential fraud.
The second area that enterprise AI companies focus on is optimizing the scaling and automation of security operations.
- Deep Instinct
- Palo Alto Networks
- Shape Security
- Sift Science
- Vectra AI
Amongst the enterprise AI companies in the first area of focus is DarkTrace.
Based in Cambridge, UK, DarkTrace uses intelligent software to analyse and identify the behavioral patterns of device users and networks.
When activity outside of the normal pattern of behavior is detected, DarkTrace software alerts cybersecurity experts.
Investors in DarkTrace, Summit Partners described this approach as “reinventing the way organizations protect their data and assets, with a truly differentiated solution developed by some of the leading minds in machine learning and mathematics.”
A number of leading or global companies such as BT, Irwin Mitchel, and Aspect Capital are already benefiting from DarkTrace’s developments.
Like DarkTrace, Sift is another of the enterprise AI companies making developments in this area.
Sift understands that online interaction is not only the opportunity for engagement but also for fraud.
From the creation of fake accounts to credit card fraud, Sift aims to protect against all types of online fraud.
This increased security allows users of Sift to not only improve the security of their systems but to also cut costs and improve performance.
Car sharing marketplace Turo has been using Sift since 2013. This partnership has delivered a 98% reduction in overall fraud.
It has also seen Sift’s systems growing and scaling as Turo has expanded into global markets.
The second area of focus for enterprise AI companies see companies aiming to deliver automated security operations that are fully scalable.
One of the leading enterprise AI companies in this area of focus is Demisto.
Demisto’s solutions can be deployed as an on-site or hosted solution. This allows security teams flexibility in how they respond to a developing situation.
This flexibility helps to speed up response times, ensuring incidents can be stopped quickly or even prevented.
As well as automating incident inquiries, Demisto’s solutions also enable compliance with SLA guidelines.
Identifying Suspicious Behaviour
Anomali systems identify not only suspicious behavior but also hidden threats.
Similarly, CrowdStrike provides a platform designed to prevent system breaches.
Patternex also uses sophisticated tools to provide a secure system in which users can operate safely.
Zimperium is one of many enterprise AI companies providing security for mobile apps.
Cylance also uses AI and sophisticated tools to prevent breaches to secure systems.
Another of the enterprise AI companies providing endpoint protection is Cybereason.
Sentinel One offers an autonomous platform that combats sophisticated system breach attempts.
Esentire offers a cloud-based solution. Their system is a scalable solution that rapidly processes and counteracts potential threats.
Another next-generation, a sophisticated solution is provided by LogRhythm.
PerimiterX also provides intelligent cybersecurity solutions designed to keep businesses safe in the digital world.
The Vectra platform enables users to secure their cyber footprint.
Meanwhile, Paloalto Networks are world leaders in providing accessible, robust security solutions.
Opaq allows companies to create a secure network. This enables employees to safely work remotely.
Tessian provides solutions to keep emails secure from hackers and information phishing.
Finally, LeapYear’s platform utilizes machine learning and other sophisticated tools to enable safe access to sensitive data sets.
Data Science and Machine Learning (DSML) Platforms
Enterprise AI companies understand that organizations require the right format and volume of data before they can understand it.
Only once comprehension is realized can artificial intelligent solutions, machine learning, and other sophisticated tools be deployed.
These enable data scientists and analysts to fully make use of the information.
Interpreting data correctly is a growing field that has led to the emergence of data scientists.
It has also seen enterprise AI companies developing new tools and platforms that can help to optimize their role.
One of the leading enterprise AI companies is DataRobot. Their data science platforms are designed to assist data scientists in the construction and deployment of models.
By automating the process, DataRobot can offer a platform that delivers end-to-end support at scale.
- Domino Data Labs
- Figure Eight
AI Applications for Financial Services
Another one of the many enterprise AI companies harnessing the effects of DSML platforms is Anaconda.
Their open-source data analysis tools are designed to be used by data science professionals as well as IT professionals and business leaders.
Global financial providers such as HSBC is using Anaconda’s platforms to optimize their data science workflows.
This enables the company to implement accurate and reliable credit scoring frameworks.
Deepsense.ai is another of the enterprise AI companies leading developments in DSML.
Their use of machine learning and sophisticated tools has helped one leading bank to boost performance by 12.5%.
Here Deepsene.ai’s systems were able to predict the probability of a customer taking out a credit card.
This was done by analyzing a range of variables such as the client’s transaction history.
The data produced allows the bank to focus time and marketing on customers most likely to engage with their products.
Like Anaconda, RazorThink helps financial service providers utilize deep learning AI.
This allows people, and businesses to make more informed decisions.
Processing Data Sets
The Altair Knowledge Studio allows data analytic teams to construct and deploy predictive models. This allows businesses quick and easy access to valuable insights.
Similarly, Alteryx enables users to prepare and utilize both structured and unstructured data.
BigML is another of the many enterprise AI companies using AI and sophisticated tools to transform data into useful insights.
These insights can help optimization, customer engagement, and workflow.
Databricks is another of the enterprise AI companies focusing on processing data.
They aim to provide a data analytics platform that allows users to make the most of unstructured information.
Domino provides an open-source platform for handling and processing data.
Likewise, Dataiku provides sophisticated solutions for handling raw data. This raw data, when processed correctly, can provide countless useful business insights.
Figure Eight offers solutions for labeling and processing data sets.
Similarly, Playment provides data labeling solutions, allowing for the interpretation of raw data sets.
This customization capability enables the user to make the most of the technology for their own ends.
Petuum also provides AI solutions, aiming to simplify and enhance data usage.
Ecommerce, or online transactions, is an increasingly expanding market. By 2021 global e-commerce sales are expected to surpass $4.9 trillion.
It is, therefore, no surprise that enterprise AI companies are looking to impact in this area.
Retail Rocket aims to help users personalize their online stores. Retail Rocket’s key feature is its sophisticated product recommendation engine.
By personalizing product recommendations potential customers are able to find products that interest them more quickly.
This helps to improve sales conversion rates as well as customer engagement.
Teresa Sánchez-Herrera is Retail Rocket’s marketing manager.
She has stated that the company’s goal is to “create a truly personalized shopping experience for customers and boost online store sales.” Retail Rocket’s services are already being utilized by a number of global brands such as L’Occitane, Vans, and Auchan.
- Blue Yonder
- Infinite Analytics
- Retail Rocket
Personalizing the Marketing Experience
Criteo uses AI and machine learning tools to create personalized advertising campaigns.
Similarly, BlueYonder uses information from a range of sources to deliver AI-driven business insights.
These help businesses to better connect and operate in the digital world.
Another of the enterprise AI companies looking to transform the E-commerce sector is BloomReach.
They use sophisticated machine learning tools as well as NLP to capture website traffic.
This information can then be transformed into personalizing search suggestions and services.
By making product searches more relevant in this way customers are better engaged.
A fully engaged customer is more likely to complete a purchase, improving a company’s revenue.
Many leading brands such as Marks and Spencer and Boden are utilizing the developments made by BloomReach.
Boden is using BloomReach’s tools to personalize the online customer experience.
Additionally, BloomReach is able to deliver useful business insights that can help to increase profitability and productivity.
Based in Cambridge Massachusetts and Mumbai, Infinite Analytics is another of the enterprise AI companies transforming E-commerce.
As social media contributes to the decline of attention spans, Akash Bhatia, co-founder of Infinite Analytics, realizes that “AI-driven platforms will be essential to e-commerce success”.
Infinite Analytics delivers innovative solutions.
These are designed to transform the way potential consumers interact and search for products on retail websites.
To this end, Infinite Analytics has developed sophisticated concepts such as Social Influencer Search.
This enables customers to search for products that match the style and taste of their favorite social influencers.
Additionally, the company’s search engines can be equipped with Image Capture capabilities.
When paired with an Attribution Engine this enables the user to access accurate product comparison suggestions.
An AI-Driven Personal Assistant
Apptus uses AI to also power search and product recommendation features.
Improving search functions, reliability, and flexibility helps customers to find relevant products.
The information learned from searches can then be used to make relevant product suggestions.
This can drive revenue and build a lasting relationship with a customer.
Mona is an AI-driven personal assistant. Promising an immersive in-store experience, as you use Mona it learns your preferences and style choices. This means that the products Mona recommends are increasingly relevant and personalized.
When it comes to the potential impact of enterprise AI companies in the finance sector there are many possibilities.
This includes operations such as accounting, forecasting, and back-office roles.
All of these need to function efficiently in order for a company or organization to succeed.
The success of these processes is often heavily reliant on the completion of paperwork.
As paperwork is often a time consuming or laborious task enterprise AI companies have identified this area as being ideal for automation.
Softworks is one such company. Softworks aims to enhance the operational efficiency of a business or organization by providing sophisticated, automated solutions.
This is done by leveraging OCR, AI technologies and computer perception to convert raw information into usable insights.
These insights enable users to optimize their processes allowing businesses to operate more intelligently.
For one leading credit card provider this enabled them to reduce document processing time from 70 minutes to 10 minutes.
- Layer 6 AI
- Softworks AI
This is frequently done by providing AI frameworks that enable the connectivity of many different processes.
DataVisor uses AI and sophisticated tools to identify and prevent fraudulent transactions.
Similarly, Biocatch monitors the user’s behavior, identifies suspicious and potentially illegal behavior.
4Paradigm also uses AI to enhance online safety. Additionally, their services provide intelligent forecasts and cognitive marketing strategies.
All three companies aim to make conducting online business more secure and reliable. As business is increasingly carried out in the digital world, this security is invaluable.
HyperScience is one of the many enterprise AI companies focusing on helping businesses turn documentation into usable data.
This is done by using sophisticated machine learning tools to process and extract information from both digital and handwritten documents.
Once extracted this data can be structured and fed into relevant systems, enabling users to derive valuable insights.
As well as optimizing and automating processes, HyperScience solutions also help users to cut costs and drive new business streams.
Their work has marked HyperScience out as one of the leading enterprise AI companies.
Additionally, HyperScience was recently named on the CB Insights AI 100 list.
Meanwhile, AppZen is one of a growing number of enterprise AI companies providing automated audit platforms.
By automating this process the system is able to detect potentially fraudulent activity in real-time.
Their systems are also able to automate processes, checks, and audits and well as helping to ensure regulatory compliance.
AppZen’s global list of customers includes retail giant Amazon, Nvidia, and Airbus.
They aim to improve patient care by using automation to speed up processes enabling physicians to spend more time treating patients.
LeanTaa is another company using AI and machine learning to improve healthcare.
Their systems are designed to improve patient access and speed up the processing of a patient through the healthcare system.
Smart solutions such as these can help to cut waiting times and improve outcomes.
- Butterfly Network
- Gauss Surgical
- IDx Technologies
- Mindstrong Health
Other enterprise AI companies, such as Paige are offering AI frameworks to support research into cancer treatment.
Likewise, Nirami is focusing on developing frameworks and solutions to support the treatment of breast cancer.
Owkin is another of the enterprise AI companies using AI frameworks to help bolster medical research.
Atomwise uses AI and sophisticated tools to help drug development and research.
Combining medical knowledge with machine learning Insitro is helping to progress research and development possibilities.
Imagining New Possibilities with Enterprise AI
Some enterprise AI companies, such as Arterys are using sophisticated tools to improve medical imaging capabilities.
Similarly, EyeDiagnosis uses autonomous AI to detect eye disease.
Mindstrong is using technology to monitor mental health. Helping to identify when people are beginning to experience a mental health crisis can mean they will receive treatment sooner.
Gauss Surgical is using AI to improve patient safety during operations. Their main area of focus, so far, has been monitoring patient blood loss.
Siddarth Satish is the CEO of Gauss Surgical. He explained that “blood loss has been visually estimated since the dawn of medicine and it’s really the best guess as to whether a patient needs a transfusion or another intervention in these surgeries.”
Gauss Surgical is using AI to help accurately calculate patient blood loss via an iPad camera.
This is their Triton platform. Studies have revealed that using Triton during cesareans provides a more accurate method of measuring blood loss than conventional methods.
This improvement is helping to improve patient mortality rates as well as cut costs.
Another of the enterprise AI companies making an impact in this area is Butterfly Network.
Butterfly Network’s iQ probes are able to turn smartphones into ultrasound machines.
An app then captures scanned ultrasound images, connecting the information with patient records.
The scans can also be sent to PACS, a commonly used radiology software system.
This enables ultrasound technology to be taken to people in remote or underserved communities.
Consequently, Butterfly Network’s use of computer imaging and intelligent tools is democratizing healthcare.
Since its launch in 2018, the iQ device has been adopted by thousands of medical professionals.
As a result, they have already received substantial investments from philanthropic ventures such as the Bill and Melinda Gates Foundation.
Another of the enterprise AI companies focusing on a specific area of healthcare is Viz.ai.
They are using sophisticated tools, computer vision and machine learning to transform stroke care.
Their range of AI-driven products can detect and alert medical teams to suspected “large vessel occlusion strokes”.
Viz.ai software is also able to complete “CT perfusion studies” quickly and accurately.
This enables care providers to access real-time information that can help patients to survive and recover from the effects of a stroke.
Enterprise AI companies are increasingly turning their developments to the area of human resources.
Identifying the right candidates for a role, and retaining them, can be difficult.
Entelo has developed an intelligent, powerful search engine that enables users to identify the best candidates for a role.
Using sophisticated tools the Entelo search engine analyses hundreds of variables, sifting through thousands of potential candidates.
Once the search is complete the user is able to access a list of the best matching candidates.
Entelo’s candidate search optimization is used by many of the world’s leading companies including NASA, Genentech, and Lyft.
- hiQ Labs
- Wade & Wendy
Similarly, Fetcher uses sophisticated tools to automate repetitive tasks.
This enables the user to focus on “candidate engagement and team collaboration”.
Fetcher’s AI-driven systems allow the user to rank and review client talent profiles.
This process is leveraged with structured and unstructured data as well as industry expertise to identify the best match candidates.
Fetcher can also help users to optimise candidate outreach.
By enabling the user to send custom messages directly to potential candidates. It also enables automated follow-up messages to be sent.
This helps to forge a real connection with a candidate, helping to build a good working relationship.
Fetcher is already helping Sony Music, Getty Images and First Citizens Bank, amongst others, to build their teams.
Other enterprise AI companies such as hiQ Labs are using smart tools to analyse public data.
This can then be curated and leveraged into useful information such as the risk of staff churn or attrition.
Their SaaS platform is driven by machine learning tools.
It enables companies to access the skill level and attrition risk of each employee.
If used correctly this information helps HR teams to make better, personalized decisions, allowing for a more productive workplace.
AI Enterprise Solutions to Improve Employee Recruitment
Here machine learning and AI-driven platforms are able to sort through lists of potential candidates.
These platforms are capable of quickly identifying the best people suited for the role.
Similarly Snap allows users to speak directly with potential employers, cutting on the need for recruitment companies.
Meanwhile Ideal offers users the ability to access candidate information in real-time. This helps to speed up the recruitment process.
It also means that companies can approach the best candidates before they are snapped up by a rival.
TalVista aims to help improve recruitment by optimizing recruitment adverts.
Texit also uses sophisticated tools to ensure that adverts are seen by the relevant candidates.
By advertising to only the relevant or interested candidates, your adverts provide the maximum impact.
Similarly, SpringRole helps applicants to create a professional profile that appeals to potential employers.
Legal and Compliance Firms
Enterprise AI companies are also finding ways to impact on the legal sector.
Solutions devised by enterprise AI companies are allowing legal practices to reduce the time spent by skilled employees on basic, low-value tasks.
This allows them to spend more time on high-value projects as well as speeding up workflow.
One such example has been developed by Kira Systems.
Their “powerful machine learning software”, named Kira, is able to analyse the text in documents such as contracts.
As it analyses, Kira identifies and extracts the relevant information.
This application of machine learning optimizes the process of document analysis and review.
Prior to automation, this was a time-consuming task that was prone to human error.
Many leading law firms such as Addleshaw Goddard and Bennett Jones use Kira System’s software.
Another one of the enterprise AI companies using technology to automate processes and improve compliance is Seal.
Their smart, NLP driven solutions are enabling documents to be processed and reviewed quickly and efficiently.
- Kira Systems
- Lex Machina
- Neota Logic
- Ross Intelligence
- TradeMark Now
- Westlaw Edge
LevertonAI is another company that develops automated document reading services.
Meanwhile, LegalMation is providing AI tools that enable litigation tasks to be automated.
This frees up legal professionals to work on more complex, value-rich tasks.
Lex Machina also automates litigation work and provides sophisticated document reading solutions.
Like Lex Machine, Logikcull also offers sophisticated tools that can read documents, identifying, and correcting mistakes.
Similarly, RossIntelligence offers a legal platform that automates research.
Meanwhile, Relativity offers data analysis and review services for many different aspects of the legal profession.
Ascent is one of the many enterprise AI companies using machine learning to help businesses comply with regulation.
This can be a fast-changing field, and compliance can be time-consuming to ensure.
Smart solutions help to ensure compliance is swiftly and easily achieved.
This is done by offering a connectivity platform that offers easy access to all parts of a business.
NeotaLogic has also constructed an AI automation platform that enables users to access and construct a suite of time-saving applications.
While many enterprise AI companies focus on automating document processing, Onfido is impacting in a different way.
They are using computer vision, machine learning, and sophisticated AI tools to transform identity verification.
Applying for loans or services can require applicants to provide photo ID for verification.
This can be time-consuming and is prone to human error.
Onfido systems allow users to scan their ID onto a smartphone. The image is then remotely accurately verified, speeding up the process.
This application helps to identify forged or counterfeit documents. It can also identify documents that have potentially been compromised.
Logistics and Supply Chain Management
Functioning logistics and supply chain management is vital for keeping stores and consumers supplied.
Enterprise AI companies have been quick to identify ways in which logistics and supply chain management processes can be optimized.
Flexport aims to modernize the process of shipping and logistics.
At the same time, their sophisticated solutions help to digitize supply chain management.
This has traditionally been a paper-based operation.
Flexport’s strategic operating model aims to optimise these processes, bringing together infrastructure, technology, and expertise.
By doing this they allow their customers such as Bombas, to access real-time control and information.
This allows for the operation of a more agile and efficient system.
Flexport is just one of many enterprise AI companies aiming to digitize and optimise both logistics and supply chain management.
Logility is another operating in the same field. Kraft Heinz is one of the world’s largest food and beverage companies.
They have used Logility’s sophisticated Inventory Optimization platform to create a centralised process for “strategic planning and setting safety stock targets across a multi-echelon supply chain”.
Glen Raven is a global provider of fabric-based solutions for a range of clients. They have worked with Logility to transform its supply chain process.
Glen Raven has a complex supply chain including “43 production specifications and more than 12 million unique data points”.
As the company has grown, managing this supply chain effectively has become increasingly challenging.
Logility has helped Glen Raven to transform and optimize their supply chain processes.
- Aera Technology
Other Enterprise AI Companies Transforming the Supply Chain
Llamasoft also uses AI and intelligent approaches to help optimize the supply chain.
Their AI-based approach helps to optimize each step of the extended supply chain.
Falkonry is also using smart solutions to optimize the supply chain. In addition, they are also devising predictive maintenance solutions.
This approach helps companies to identify potential problems before they arise.
Likewise, Kinaxis is aiming to remove volatility from the supply chain.
Their solutions aim to make supply chain management and complicated problem solving easier.
By making management easier, the supply chain can be optimized. Optro delivers a similar solution.
Their systems provide data and insights which enable real-time management of the logistic process.
Presenso uses deep prediction analytics and other sophisticated tools to optimize manufacturing and supply chains.
Clearmetal focuses its approach on streamlining the customer experience.
By helping to simplify the supply chain for the customer they are able to offer an optimized service.
Another of the enterprise AI companies taking this approach is Dematic. Their Micro-Fulfillment service combines automation with proprietary software.
This is designed to help optimize the logistic process in a range of industries. This helps companies to complete deliveries as quickly as possible.
Aera also aims to offer a solution that enables the user to have a complete overview of their companies operations.
Bext360 offers a similar solution. However, their overview is aimed at emerging markets and enterprises.
Meanwhile, Swisslog is using automation to improve the flexibility of the supply chain.
They are doing this by combining automation with smart analytic solutions, which enhance data processing.
Tradeshift is another of the enterprise AI companies driving innovation in this field. They are offering connectivity solutions, making payment, stock procurement, and management simpler.
Meanwhile, other enterprise AI companies such as Convoy aim to help independent carriers find jobs.
Their optimized, sophisticated system enables a network of carriers and shippers to connect.
This helps to not only reduce carbon waste it helps carriers to cut costs whilst using reliable carriers.
Wayfair Senior Manager Alex Whigham has explained that Convoy’s flexibility is able to meet “the seasonal demands of our business with greater capacity”.
In addition to this Convoy has provided Wayfair with “additional insights.”
This has helped the company to streamline its operations, further optimizing their business while helping to cut costs.
Thanks to social media the digital footprint of individuals is constantly increasing.
This means that companies are increasingly looking to derive usable data insights from masses of unstructured data.
Enterprise AI companies are using sophisticated tools and applications, such as machine learning, to process this information.
One of the leading enterprise AI companies focusing on this area is Lexalytics. Their Lexalytics Intelligence Platform is designed to process high volumes of textual data.
This can help users to identify the patterns and potentially valuable insights hidden within the data.
Hospitality company Revinate uses Lexalytics tools to monitor consumer sentiment in key areas such as room satisfaction and staff service.
Lexalytics has also been used by Microsoft’s Customer Research department to extract useful information from social media platforms.
Once analyzed the insights delivered help the team to better understand how customers view and engage with the brand.
- Automated Insights
Another of the enterprise AI companies taking a similar approach is Appier. They use sophisticated tools to create customer engagement platforms.
Netbase is taking a similar approach to help businesses make the most of consumer and market intelligence.
AI and Natural Language Generation
Their AI-driven machine is capable of Natural Language Generation. This means that it is capable of understanding language.
It is also able to break language down into critical elements such as narrative, emotion, and word positioning.
This approach enables Persado to provide insights into both brand engagement and audience reaction.
This helps to empower the brand “with rich analytics”. Persado’s tools are used by Gap Inc. to produce optimal headlines, email subject lines, product descriptions, and personalized messaging.
This helps the brand to improve customer engagement. Gap Inc believes that this personalization of their message has also helped to boost profitability.
Phrasee is another of the enterprise AI companies using technology in a similar way.
Others such as GumGum are using computer vision and deep learning to identify branded content in digital images.
GumGum’s solutions help brands and corporate sponsors to help understand and measure the value of their sponsorship.
Their sophisticated analytic tools are capable of identifying corporate logos on social media images as well as sports broadcasts.
This helps a sponsor to understand the visibility of their logo. The more visible a logo is, the more people will see it and may, potentially, engage with the product.
To put it another way, a visible logo is a valuable logo.
GumGum has already partnered with the New Orleans Saints and New Orleans Pelicans. Here their systems are used to measure the visibility of team sponsorship over the course of a season.
Enterprise AI companies are increasingly transforming the world around us. From optimizing supply chain management to streamlining workflow and deriving valuable data insights, their influence is continually increasing.
As the influence of enterprise AI companies grows so does the need for companies to adopt and benefit from the insights they provide.
In increasingly digital world companies failing to adopt the benefits that enterprise AI companies provide will get left behind.
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