Who are Kore.ai

Updated: 4 days ago

Kore.ai is one of the longest-established names in enterprise AI agents, the software large organisations use to automate conversations and routine work for their customers and employees. It made its name as a conversational AI and chatbot vendor, and over the last two years has rebuilt its offer around agentic AI, with a new edition of its Agent Platform released in 2026 and packaged products for employee productivity, customer service and business processes. For buyers comparing AI agent platforms, or reviewing an existing Kore.ai deployment, the company now looks quite different from the one many IT teams first met.
Viewpoint Analysis is a Technology Matchmaker, helping businesses to quickly find and select new enterprise technology. Our aim is to be the place enterprise buyers go to understand the software and technology market before speaking to vendors. Read on to learn more about Kore.ai.
Who Are Kore.ai?
Kore.ai was founded in 2014. Its official headquarters is in Orlando, Florida, and in May 2026 it opened a strategic headquarters in the San Francisco Bay Area, where several of its senior leaders are now based. It also has a significant presence in New York, along with offices in the UK, Europe, the Middle East, India, Japan, South Korea and Singapore. Raj Koneru is Chief Executive Officer, and in July 2026 the company appointed Uma Sandilya as Chief Commercial Officer, bringing sales, marketing and strategy under a single leader.
Kore.ai is privately owned and venture-backed. Its most recent funding was a $150 million growth investment in January 2024, led by FTV Capital with participation from NVIDIA and existing investors including Vistara Growth, Sweetwater PE and NextEquity. The company says it is trusted by more than 500 Global 2000 companies and partners, and that it added over 100 new enterprise customers in its last financial year. Banking, insurance, healthcare, retail and telecoms are among its strongest sectors, which reflects how much of its work involves regulated, high-volume customer service.
Today Kore.ai sells two things:
An Agent Platform for building, running and governing AI agents, and a set of ready-made products built on top of it for workplace support, customer service and process automation.
Agents built on the platform can be deployed across more than 40 voice and digital channels, from contact centre telephony and web chat to Microsoft Teams and messaging apps.
Interested in Kore.ai? Why not add them to your Viewpoint Analysis shortlist with HUEY's help? 👇
What Does Kore.ai Do?
Most large organisations now have AI agent pilots running somewhere, but far fewer have agents working reliably in production, connected to real systems and following company policy. Kore.ai's pitch is aimed at that gap. It gives enterprises one platform to design agents, connect them to back-office systems and knowledge sources, put controls around what they can do, and measure how well they perform once they are live. It sits within the AI agent and conversational AI segment covered on our AI Technology page.
The current version of the platform is the Artemis edition of the Kore.ai Agent Platform, launched in May 2026 and available first on Microsoft Azure. It introduced Agent Blueprint Language, a way of defining how an agent should behave, and Arch, an AI assistant that helps teams design agents and their workflows. In October 2026 Kore.ai added Autoloop, an engine that starts from business goals such as task completion, policy compliance, cost and safety. Autoloop builds agents from an organisation's existing operating procedures, tests them, works out why they fail, and keeps retuning and rechecking them before and after go-live. For buyers, that focus on performance after launch is one of the more useful things to explore in a demo, because it addresses the point where many agent projects stall.
On top of the platform sit three products. AI for Work gives employees search across company systems and documents, plus agents that complete tasks in HR, IT and recruiting. AI for Service covers the customer side: AI agents that handle customer conversations directly, Agent AI Assist for human contact centre staff, an agentic contact centre offering, and automated quality assurance of conversations. AI for Process applies agents to knowledge-heavy back-office work, such as reviewing documents or working through multi-step approvals.
That breadth is the main reason Kore.ai appears in several of our reports - It is included in our Conversational AI Software Options 2026 and Customer Service AI Software Options 2026 guides, and buyers focused on the contact centre may also find our AI Customer Service Software Buyer's Guide useful. Customer experience is a large part of Kore.ai's business, and our Customer Experience Technology page covers that side of the market.
Kore.ai Technology Areas
Kore.ai organises its offer into the following product areas, all of which sit within the AI technology category covered on our AI Technology page.
• Agent Platform (Artemis edition): The core platform for designing, deploying, governing and monitoring enterprise AI agents and multi-agent workflows.
• Autoloop: An engine that tests agents against business goals and keeps improving them before and after deployment.
• AI for Work: Enterprise search across company systems, an agent builder and pre-built agents for HR, IT and recruiting tasks.
• AI for Service: AI agents for customer conversations, Agent AI Assist for human agents, an agentic contact centre and automated quality assurance.
• AI for Process: Agents and pre-built templates for automating knowledge-heavy business processes, with analytics and monitoring.
• Industry accelerators: Pre-built starting points for sectors including banking, retail and healthcare.
• Agent Marketplace: A catalogue of ready-made agents and templates that teams can adapt rather than build from scratch.
• Admin controls and governance: Role-based permissions, audit trails and policy controls over what agents can access and do.
Kore.ai Key Competitors
Kore.ai competes in one of the busiest parts of the enterprise software market. On the customer service side it meets contact centre vendors that have bought or built their own AI agents, and a group of newer AI-native customer service specialists. On the employee side it competes with enterprise search and workplace AI vendors, and with the agent-building tools from the large cloud and application platforms. The most useful comparison depends on where your priority sits (the contact centre, employee support, or one platform for both) and on how much of your existing technology stack the platform needs to work with.
If you are exploring the AI agent platform market and want to understand who else you should be considering alongside Kore.ai, the Viewpoint Analysis Longlist Builder is a good place to start. Answer a few questions about your requirements and we will come back with a comprehensive report covering all the vendors worth considering for your shortlist.
Add any of these vendors to your shortlist as you go:
• NICE Cognigy: A conversational and agentic AI platform for customer service, acquired by NICE in 2025 and now part of the NICE contact centre portfolio. It is a frequent comparison for buyers already running NICE, or who want AI agents and the contact centre from one vendor.
• Sierra: An AI-native vendor focused on customer-facing AI agents for large consumer brands. Buyers whose main goal is automating customer conversations often put Sierra alongside Kore.ai's AI for Service.
• Moveworks: An AI assistant for employee support, now part of ServiceNow. It is a natural comparison for AI for Work in organisations that run ServiceNow, and our Moveworks Vendor Profile covers it in more detail.
• Glean: An enterprise search and work AI platform that connects to the applications employees already use every day. Buyers whose priority is helping employees find information and act on it will often compare it with AI for Work, and you can learn more in our Glean Vendor Profile.
• Microsoft Copilot Studio: Microsoft's tool for building agents that work across Microsoft 365, Dynamics 365 and Azure. It suits organisations that want to stay within the Microsoft stack, and Kore.ai itself works closely with Microsoft, launching its Artemis edition on Azure first.
• Fin: The AI customer service agent from Intercom, aimed at resolving customer queries across chat, email and voice. It is a common comparison for service teams that want a fast route to AI-led support, and our Fin Vendor Profile has more detail.
If you are at the stage of running a formal selection process, the Enterprise Software Selection Playbook covers how to review the market and run a professional evaluation to find the right option for your organisation's needs.
Kore.ai Customer Examples
Kore.ai publishes a large set of customer stories on its website, although many are anonymised, such as a Fortune 500 healthcare company or a large US telecoms provider. The four named examples below show the range of the platform, from employee HR support through to customer service in retail, banking and property. All figures are as reported by Kore.ai.
• AMD: The semiconductor company uses Kore.ai for an AI HR agent supporting around 30,000 employees, served by a team of roughly 15 HR contact centre staff. Kore.ai reports an 80% reduction in HR resolution time and a 50% self-service deflection rate.
• Autodoc: The Berlin-based online retailer of vehicle parts serves more than 22 million customers across 27 countries and uses AI for Service to provide multilingual self-service. It has cut agent workload by 30% and average handling time by 20%.
• RCBC Credit: The credit card arm of the Philippines' Rizal Commercial Banking Corporation serves over 1.2 million cardholders and has worked with Kore.ai since 2019 on Erica, its AI virtual assistant. Kore.ai reports more than 600,000 conversations deflected each year and $22 million in cost reduction.
• Boardwalk REIT: The Canadian real estate investment trust manages more than 33,000 rental units across four provinces and uses Kore.ai in its resident contact centre. It reports a 50% reduction in overheads alongside fewer manual errors and higher first call resolution.
Suggested Next Steps
Our first stop is always HUEY - ask HUEY for anything that can help you, from options for your longlist or shortlist, vendor comparisons, and you can even request a demo.

• Further reading. If you want to understand the wider AI agent and conversational AI market before going further with any individual vendor, the Viewpoint Analysis AI Technology page covers the market in detail, including the different categories, key vendors, and what to look for when evaluating your options. You may also want to look at our Financial Services Industry page for lots of ideas relating to the financial services technology space.
• Build your initial longlist. Not sure who else you should be considering alongside Kore.ai? The Viewpoint Analysis Longlist Builder, powered by HUEY, our AI Technology Analysis Agent, asks you a few questions about your organisation and requirements, and we come back with a comprehensive report covering all the vendors worth putting on your list. It is a straightforward way to make sure you are not missing a strong option before you start shortlisting.
• Have your selected vendors come and pitch to you. Take a look at our free Technology Matchmaker, where we will bring the leading technology vendors to pitch their ideas to you. It is a super-quick way to learn what is on the market before shortlisting them.
• Run a quick selection process. If you are ready to move to a formal evaluation, the Viewpoint Analysis 30-Day Technology Selection service takes you from a standing start to a preferred vendor decision in a single month. It combines the best of our Rapid RFI and Rapid RFP processes, and we run the whole thing for you, writing the brief, managing vendor engagement, and guiding your team to a scored, defensible decision.
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