
Kasisto
Founded Year
2013Stage
Series D | AliveTotal Raised
$91.62MLast Raised
$8.65M | 10 mos agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+35 points in the past 30 days
About Kasisto
Kasisto focuses on conversational artificial intelligence solutions, primarily in the banking and finance sector. The company offers a platform that provides intelligent digital assistants, designed to facilitate accurate, human-like conversations and empower teams with financial knowledge. Kasisto primarily serves global financial institutions, regional banks, community banks, and credit unions. It was founded in 2013 and is based in New York, New York.
Loading...
Kasisto's Product Videos


ESPs containing Kasisto
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The AI-powered chatbots market offers solutions that use AI to enable self-service, automate support workflows, and deliver personalized conversational experiences across multiple channels. The market is focused on improving customer and employee experiences, with the goal of lifting CSAT scores, increasing brand loyalty, and driving incremental revenue for businesses. Combining automation, person…
Kasisto named as Challenger among 15 other companies, including ServiceNow, Zendesk, and Salesforce.
Kasisto's Products & Differentiators
KAI Consumer Banking
KAI Consumer Banking (KCB), provides digitally-engaging experiences to users through a firm’s branded virtual assistant. KCB is fluent in banking from day one. This deep financial expertise eliminates the need for costly ramp-up time and training. KCB comes with everything firms need to develop, customize, maintain, and grow their consumer banking digital assistant and includes out of the box skills and intents focused on (but not limited to) the following banking experiences: Account Information Transaction Search Balances & Payments Credit Card Servicing Financial Wellness
Loading...
Research containing Kasisto
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Kasisto in 7 CB Insights research briefs, most recently on Nov 7, 2024.

May 24, 2024
The generative AI market map
Jan 4, 2024
The core banking automation market map
Oct 3, 2023 report
Fintech 100: The most promising fintech startups of 2023
Expert Collections containing Kasisto
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Kasisto is included in 6 Expert Collections, including Fintech 100.
Fintech 100
598 items
250 of the most promising private companies applying a mix of software and technology to transform the financial services industry.
Fintech
9,653 items
Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.
Sales & Customer Service Tech
600 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.
Digital Banking
1,016 items
Generative AI
2,272 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
9,913 items
Kasisto Patents
Kasisto has filed 5 patents.
The 3 most popular patent topics include:
- artificial intelligence
- data management
- diagrams

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
6/30/2020 | 1/10/2023 | Facebook employees, Facebook, Virtual assistants, Natural language processing, Artificial intelligence | Grant |
Application Date | 6/30/2020 |
---|---|
Grant Date | 1/10/2023 |
Title | |
Related Topics | Facebook employees, Facebook, Virtual assistants, Natural language processing, Artificial intelligence |
Status | Grant |
Latest Kasisto News
May 19, 2025
Deployment, Areas of Application, Type of End User, Organization Size, Company Size, Type of Business Model and Key Geographical Regions" report has been added to ResearchAndMarkets.com's offering. The global chatbot market size is estimated to grow from USD 5.84 billion in the 2025, to USD 61.97 billion by 2035, at a CAGR of 23.94% during the forecast period, to 2035 Chatbot Market Growth and Trends A chatbot is a software program created to mimic conversation with human users, primarily over the internet. Technologies such as artificial intelligence (AI) and natural language processing (NLP) enable chatbots to comprehend user inquiries better and produce relevant responses. These chatbots are utilized in various sectors, including customer service, information retrieval, and online shopping, offering users instant support around the clock. The chatbot industry has experienced considerable growth over recent years. The trend of providing 24/7 customer support, reducing operational costs by assigning tasks to chatbots, and an increase in customer preference for self-service options have all propelled the growth in global chatbot market. Additionally, chatbots that have been developed to integrate with messaging platforms are also facing significant growth and demand within the market. Furthermore, as companies become more focused on automating sales and customer service, the global chatbot market is expected to grow at a healthy pace during the forecast period. Chatbot Market: Research Coverage The report on the chatbot market features insights on various sections, including: Market Sizing and Opportunity Analysis: An in-depth analysis of the chatbot market, focusing on key market segments, including type of chatbot, type of technology, type of offering, mode of deployment, areas of application, type of end-users, company size and geographical regions. Competitive Landscape: A comprehensive analysis of the companies engaged in the Chatbot market, based on several relevant parameters, such as year of establishment, company size, location of headquarters, ownership structure. Company Profiles: Elaborate profiles of prominent players engaged in the Chatbot market, providing details on location of headquarters, company size, company mission, company footprint, management team, contact details, financial information, operating business segments, Chatbot portfolio, moat analysis, recent developments, and an informed future outlook. SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter. Chatbot Market: Key Segments Market Share by Type of Chatbot Based on the type of chatbot, the global chatbot market is segmented into messenger-based, standalone, web-based. According to estimates, currently, standalone segment captures the majority share of the market. This can be attributed growing preference among consumers for standalone chatbots, as they enable businesses to enhance operations, lower costs, and provide effective support to customers round-the-clock. Market Share by Type of Technology Based on the type of technology, the chatbot market is segmented into artificial intelligence, machine learning, natural language processing (NLP). According to estimates, currently, artificial intelligence segment captures the majority share of the market. This can be attributed to the rising adoption of AI technologies by numerous businesses and the creation of more advanced chatbots, which enable them to effectively understand human language. As a result, this will enhance customer interactions and deliver personalized experiences. However, natural language processing (NLP) segment is anticipated to grow at a higher CAGR during the forecast period. Market Share by Type of Offering Based on the type of offering, the chatbot market is segmented into solution and services. According to estimates, currently, solutions segment captures the majority share of the market. This can be attributed to the to the widespread adoption of in-house chatbot technologies. However, services segment is anticipated to grow at a higher CAGR during the forecast period Market Share by Mode of Deployment Based on the mode of deployment, the chatbot market is segmented into cloud, hybrid and on-premises. According to estimates, currently, cloud segment captures the majority share of the market further, this segment is anticipated to grow at a higher CAGR in the future. This can be attributed its flexibility, scalability, and cost-efficiency. Notably, cloud-based systems are advantageous for companies that experience varying demand and require high scalability. It enables these businesses to modify their AI chatbot solutions in real-time, adjusting up or down as necessary, without incurring large expenses for physical infrastructure. Market Share by Areas of Application Based on the areas of application, the chatbot market is segmented into customer service, e-commerce assistance, educational support, financial advisory, human resources, healthcare assistance, IT service management, personal assistant, sales & marketing, and travel planning. According to estimates, currently, customer service segment captures the majority share of the market. This can be attributed to the increasing trend of businesses adopting chatbots to offer round-the-clock customer support, reduce operational costs, and automate repetitive tasks. Chatbots, particularly conversational AIs, are significantly enhancing customer services by providing timely assistance at reduced costs and ensuring consistent support across various channels. However, sales & marketing segment is anticipated to grow at a higher CAGR during the forecast period. Market Share by Type of End Users Based on the type of end users, the chatbot market is segmented into banking & finance, education, government & public sector, healthcare, manufacturing, media & entertainment, retail & e-commerce, travel & hospitality, telecommunications and others. According to estimates, currently, retail & e-commerce segment captures the majority share of the market. This can be attributed to the essential role that AI chatbots play in improving customer engagement and optimizing the online shopping experience. E-commerce sites use chatbots to offer immediate customer assistance, such as support solutions, product details, and troubleshooting, which significantly enhances customer satisfaction. Market Share by Geographical Regions Currently, North America captures the majority share of the market. This can be attributed to its strong technological infrastructure and the early embrace of advanced AI technologies in the area. Additionally, this region benefits from a highly tech-savvy consumer base that tends to quickly adapt to new technologies, creating a favorable environment for the growth of the AI chatbot market. Key Players in Chatbot Market Profiled in the Report, include: 24/7.ai Acuvate Aivo Artificial Solutions Avaamo Botsify Creative Virtual eGain Gupshup Haptik Helpshift IBM Inbenta Kasisto LiveChat ManyChat Meta Microsoft Nuance Communications Next IT Oracle SAP SE SmartBots Verint Systems Yellow Messenger Key Questions Answered in this Report How many companies are currently engaged in this market? Which are the leading companies in this market? What is the significance of edge AI in the chatbot market? What factors are likely to influence the evolution of this market? What is the current and future market size? What is the CAGR of this market? How is the current and future market opportunity likely to be distributed across key market segments? Which type of chatbot is expected to dominate the market? Reasons to Buy this Report The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants. Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies. The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects. Additional Benefits Complimentary Excel Data Packs for all Analytical Modules in the Report 10% Free Content Customization Detailed Report Walkthrough Session with Research Team For more information about this report visit https://www.researchandmarkets.com/r/ql9uza About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. View source version on businesswire.com: https://www.businesswire.com/news/home/20250519755230/en/ Contacts ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
Kasisto Frequently Asked Questions (FAQ)
When was Kasisto founded?
Kasisto was founded in 2013.
Where is Kasisto's headquarters?
Kasisto's headquarters is located at 37 West 20th Street, New York.
What is Kasisto's latest funding round?
Kasisto's latest funding round is Series D.
How much did Kasisto raise?
Kasisto raised a total of $91.62M.
Who are the investors of Kasisto?
Investors of Kasisto include Oak HC/FT Partners, BankSouth Holding, FIS, Westpac Group, NCR Voyix and 22 more.
Who are Kasisto's competitors?
Competitors of Kasisto include WorkFusion, Indigo.ai, Posh, Rasa, Knowbl and 7 more.
What products does Kasisto offer?
Kasisto's products include KAI Consumer Banking and 2 more.
Who are Kasisto's customers?
Customers of Kasisto include VeraBank and Westpac.
Loading...
Compare Kasisto to Competitors

Senseforth provides conversational AI solutions for various business sectors. It offers a platform for developing AI-powered virtual assistants, speech analytics, semantic search, and agent assist tools. Senseforth's technology is used across industries such as banking, insurance, healthcare, and retail. It was founded in 2017 and is based in Bengaluru, India.

Avaamo provides conversational AI solutions for enterprises across various sectors. Its main offerings include virtual assistants and contact center solutions that enable self-service and automated interactions for HR, IT service desks, and customer service. Avaamo's platform supports multimodal interactions and integrates with a range of enterprise applications. It was founded in 2015 and is based in Los Altos, California.

Inbenta specializes in conversational AI and automation within the customer service sector. The company offers a suite of products, including AI-enabled chatbots, search tools, and knowledge management systems designed to enhance customer experience and streamline service operations. Inbenta's conversational AI platform is utilized across various industries to automate customer interactions, provide self-service options, and improve overall customer satisfaction. It was founded in 2005 and is based in Allen, Texas.

Posh specializes in conversational AI solutions for the banking sector. It offers products such as voice and digital assistants to automate customer service and enhance employee efficiency, as well as a knowledge assistant for information management. Posh's AI platform is designed to integrate seamlessly with existing banking processes, providing secure and efficient AI management. It was founded in 2018 and is based in Boston, Massachusetts.

Pypestream specializes in AI-powered customer experience automation within various business sectors, including insurance, telecommunications, retail, and more. The company offers an omnichannel platform that leverages conversational AI to provide personalized, efficient customer service and support through a library of microapps. Pypestream's solutions are primarily utilized by industries such as insurance, telecommunications, retail, quick service restaurants, travel, hospitality, and real estate. It was founded in 2015 and is based in New York, New York.

Uniphore operates as an enterprise artificial intelligence (AI) and focuses on customer and employee experiences. The company offers various products such as conversational AI, emotion AI, generative AI, and workflow automation for interactions and processes. It caters to industries such as banking, healthcare, telecom, and more. The company was founded in 2008 and is based in Palo Alto, California.
Loading...