Founded Year

2013

Stage

Series C - III | Alive

Total Raised

$149.96M

Last Raised

$3.5M | 9 mos ago

Mosaic Score

+10 points in the past 30 days

What is a Mosaic Score?
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

About Kore.ai

Kore.ai develops a bot-based messaging and conversational AI platform that deploys and manages secure conversational bots across 30 different digital and voice channels.

Kore.ai Headquarter Location

7380, West Sand Lake Road Suite 390

Orlando, Florida, 32819,

United States

610-248-0205

Kore.ai's Product Videos

ESPs containing Kore.ai

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER
Consumer & Retail / Retail Tech

Companies in this market leverage advancements in conversational AI, including natural language processing, understanding, and generation, to automate voice- and text-based interactions between customers and companies. This market includes both plug-and-play solutions, which are pre-trained to answer most common questions, and more tailored solutions that require training on a brand’s or retailer’…

Kore.ai named as Leader among 15 other companies, including AISERA, Uniphore, and Cognigy.

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Kore.ai's Products & Differentiation

See Kore.ai's products and how their products differentiate from alternatives and competitors

  • Kore.ai Experience Optimization Platform

    Kore.ai Experience Optimization Platform enables enterprises to design, build, test, train, deploy, and manage virtual assistants and process assistants to automate front-office and back-office experiences in both voice and digital channels. The enterprise-class, no-code platform supports both on-prem and cloud deployments for over 35 channels in 100 languages. Central to the Kore.ai platform's capability are its superior NLU (ML + 2 NLP) with explainable AI and CX and EX delivery frameworks. Speech recognition, analytics and channel as well as enterprise systems integrations are other essential components to enable end-to-end experience optimization.

    Differentiation

    Kore.ai XO platform differentiates itself in three major ways: 

    A) Versatile Platform along with CX and EX Accelerators: The secure and scalable no-code platform enables rapid 

    customer-empowered deployment, which reduces an organization’s reliance on technical experts, accelerates implementation and improves efficiency. The built-in frameworks for CX and EX delivery suppo… 

    B) Superior NLP with Explainable AI: The platform’s NLU is built on the strength of 3 NL engines – fundamental meaning, machine learning and ontology-based knowledge graph - that understand, manage … 

    for customers and 

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    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

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    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

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    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

  • Subscribe to see more

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

Research containing Kore.ai

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Kore.ai in 2 CB Insights research briefs, most recently on Nov 30, 2021.

Expert Collections containing Kore.ai

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Kore.ai is included in 7 Expert Collections, including Restaurant Tech.

R

Restaurant Tech

1,209 items

Hardware and software for restaurant management, bookings, staffing, mobile restaurant payments, inventory management, cloud kitchens, and more. On-demand food delivery services are excluded from this collection.

A

Artificial Intelligence

9,093 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

C

Conference Exhibitors

5,302 items

C

Customer Service Tech

798 items

Companies offering technology-driven solutions to enable, facilitate, and improve customer service across industries. This includes solutions pre, during, and post purchase of goods and services.

D

Digital Health

13,084 items

Technologies, platforms, and systems that engage consumers for lifestyle, wellness, or health-related purposes; capture, store, or transmit health data; and/or support life science and clinical operations. (DiME, DTA, HealthXL, & NODE.Health)

E

E-Commerce

240 items

Kore.ai Patents

Kore.ai has filed 6 patents.

The 3 most popular patent topics include:

  • Computer telephony integration
  • Natural language processing
  • Telemarketing
patents chart

Application Date

Grant Date

Title

Related Topics

Status

7/31/2020

8/3/2021

Customer experience, Computer telephony integration, Diagrams, Telemarketing, Facebook employees

Grant

Application Date

7/31/2020

Grant Date

8/3/2021

Title

Related Topics

Customer experience, Computer telephony integration, Diagrams, Telemarketing, Facebook employees

Status

Grant

Latest Kore.ai News

Interview: Dr. Susan Hura, Chief Design Officer at Kore.ai

Aug 12, 2022

Interview: Dr. Susan Hura, Chief Design Officer at Kore.ai I recently caught up with Dr. Susan Hura, Chief Design Officer at Kore.ai  to discuss the bank-end work that goes into developing an intuitive conversational AI-supported chatbot. She’ll also dispel some of the myths behind developing and introducing a CAI-empowered chatbot into a business’s digital platform. Whether used out-of-the-box or customized, a chatbot’s design plays a more strategic role than one might think and requires an immense amount of human input to create. insideBIGDATA: What are the often overlooked backend complexities and intricacies of programming a CAI-supported chatbot? Dr. Susan Hura: Customers are often surprised by how much work goes into developing these solutions because people rarely take the time to truly understand the capabilities of conversational AI (CAI). Oftentimes the media sells CAI as magic when it is not; there are complex processes behind the scenes that must be taken up by conversation designers and natural language processing (NLP) analysts to create interactions that seem simple. Any response that the bot gives, someone has programmed into it. For instance, machine learning (ML) plays an integral role in developing a CAI chatbot. Machine learning is a technique that allows us to take a large set of user utterances and analyze the range of ways users ask about different topics. The algorithm ensures that the CAI bot will understand that “What’s my account balance?” is the same intent as “Could I get my balance please?” based on the similarity in the way the user phrased the question. The tricky part is when the user asks in a completely different way. As humans, it’s clear that “How much do I have in checking?” means the same thing, but it’s not automatic for a bot–someone has to do the mapping to flag the similarity. The reason behind this is that bots don’t speak English–or any other language for that matter. When a person tells a chatbot, “I think my credit card was stolen,” the bot might respond with a kind statement like, “I’m sorry to hear that. Let me help you lock your card so no one else can use it.” On the surface, it might appear that the bot is empathetically understanding the user’s experience, but in actuality, that response was programmed into the solution by a conversation designer and NLP analyst. The more data these experts take in, the easier it is to create a bot that can deliver a natural conversational experience in spite of its limitations. insideBIGDATA: How intelligent are ready-to-use chatbots? Are they truly intuitive right out of the box? Dr. Susan Hura: Conversational AI is further along than I thought it would be when I was studying it in grad school. With that being said, CAI empowered chatbots are very simple entities that require a lot of human input. Out of the box, these solutions may seem smarter than they truly are. Most organizations understand that setting up a chatbot takes additional time and assistance. But there’s inevitably a point where the company will want the bot to perform a new task, and the solution is unable to assist. The organization gets frustrated because outwardly, the bot can do all of these other cool and valuable tasks; why can’t it automatically do something new? Well, you haven’t specifically trained it to accommodate these new functions. Organizations need to think of their bot as a new employee. They’d never tell a call center agent to suddenly take on a new range of skills without proper coaching, so why would they assume their chatbot is capable of doing so? People think bots are much smarter than humans when in actuality, they are far less intelligent. insideBIGDATA: What elements are crucial to creating a CAI chatbot that enhances a brand’s reputation and improves a customer’s overall experience? Dr. Susan Hura: It’s easy to believe that CAI technology itself will ensure a successful CAI chatbot, but conversation design truly is the most imperative element. Design ensures that the bot’s sound and feel instantiates brand values and engages end users by creating trustworthy, frictionless experiences. Lots of people believe that conversation design is just about writing prompts that sound good, but in reality, it’s focused on ensuring that the bot meets the needs of end users. These elements are what drive business outcomes such as increasing self services rates and reducing operational expenses. There has to be a compelling reason for users to want to engage with these technologies and if the design is poor, they simply won’t use them. About the Interviewee Dr. Susan Hura is a conversational user experience designer and strategist with 35+ years of experience in linguistics, user-centered design and speech technologies. She is the Chief Design Officer at Kore.ai , a leading conversational AI software company, and has previously worked on IVR and voice user interface implementation for companies like Lucent Technologies Bell Labs and Human Factors International; she has also founded Banter Technology, discourse.ai, and SpeechUsability. She holds a Doctorate in Linguistics from the University of Texas at Austin, and BA in Linguistics from Ohio State University. Sign up for the free insideBIGDATA  newsletter . Join us on Twitter: @InsideBigData1 – https://twitter.com/InsideBigData1

Kore.ai Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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  • When was Kore.ai founded?

    Kore.ai was founded in 2013.

  • Where is Kore.ai's headquarters?

    Kore.ai's headquarters is located at 7380, West Sand Lake Road, Orlando.

  • What is Kore.ai's latest funding round?

    Kore.ai's latest funding round is Series C - III.

  • How much did Kore.ai raise?

    Kore.ai raised a total of $149.96M.

  • Who are the investors of Kore.ai?

    Investors of Kore.ai include NVIDIA, Sterling National Bank, Dallas Venture Capital, Vistara Growth, NextEquity and 7 more.

  • Who are Kore.ai's competitors?

    Competitors of Kore.ai include AISERA, Emotibot, Interactions, Zoovu, Replicant, Mindsay, Conversica, Satisfi, Nuance Communications, Cognigy and 39 more.

  • What products does Kore.ai offer?

    Kore.ai's products include Kore.ai Experience Optimization Platform and 4 more.

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