Kore.ai named a Leader by Gartner, Forrester, and Everest Group across five major enterprise AI evaluations. Recognition spans agentic AI products, conversational AI platforms for customer service and employee services, and enterprise search, Kore.ai has been named a Leader in every edition of the Gartner Magic Quadrant covering conversational AI platforms since the report launched in 2022. Kore.ai today announced that Gartner, Forrester, and Everest Group have each named the company a Leader in their most recent evaluations of the enterprise AI market. The placements cover five major categories: agentic AI products, conversational AI platforms, customer service, employee services, and enterprise search. The pattern carries more weight than any single report. Analyst firms score this market through different lenses, with different criteria, on different cycles, and all three reached the same conclusion within 12 months. The recognitions include: * Leader, Gartner(R) Magic Quadrant(TM) for Conversational AI Platforms, July 2026. This is Kore.ai's fourth consecutive Leader placement, covering every edition since Gartner first published the report in 2022. * Leader, The Forrester Wave(TM): Conversational AI Platforms for Employee Services, Q3 2026. * Leader, The Forrester Wave(TM): Conversational AI Platforms for Customer Service, Q2 2026, following a Leader placement in the Q2 2024 edition of Forrester's customer service evaluation. * Leader, The Forrester Wave(TM): Cognitive Search Platforms, Q4 2025. * Leader, Everest Group Agentic AI Products PEAK Matrix(R) Assessment 2026 Since 2022, the market these reports measure has changed twice: from scripted chatbots to generative AI, and from generative AI to autonomous agents. Evaluation criteria were rewritten with each shift. The 2026 evaluations also converge on what now separates leaders from the rest of the field. Gartner cited Kore.ai's research and development staffing above most peers evaluated, and named Arch(TM) and Agent Blueprint Language(TM)(ABL) as distinctive builder tools. Forrester's employee services evaluation noted the ABL approach for improving agent predictability, guardrail enforcement, and analytics that state agent impact in dollars saved. Everest Group cited end-to-end agent lifecycle management, a model-agnostic architecture, and audit trails covering prompts, outputs, and decisions. The capabilities the analysts cite are Kore.ai inventions, protected by a patent portfolio that spans conversational AI, generative AI, and agentic AI, tracking every shift the market has made. The most recent filings cover the ground scored by the 2026 evaluations: the agent definition language itself, constraint enforcement, multi-agent coordination, agent evaluation, and governance. There has been a major shift in how enterprises buy. Purchasing decisions that once sat with individual departments now consolidate at the CIO level and cover the full lifecycle of AI agents. Much of the market sells tools that create agents, or control layers added after the fact. Kore.ai built the harness: a single platform that builds, deploys, manages, and optimizes enterprise AI agents, with governance defined from the first line and enforced separately from the model. "Enterprise AI is entering its third wave, where governance, observability, and trust define success at scale," said Raj Koneru, Founder and CEO of Kore.ai. "Every wave has raised the bar for what an enterprise platform must prove, and our pace of innovation has cleared it each time. The companies that scale AI will be the ones using AI to build, govern, and improve AI on a single layer. That is the architecture this market is moving to, and it is the one we've built." "Buyers read analyst research to reduce risk, and the signal across these five evaluations is consistency," said Peter Mullen, Chief Marketing Officer at Kore.ai. "Three independent firms scored five different categories and reached one conclusion. Enterprises choosing an agent platform today are choosing the layer that will run their AI for the next decade, and the evaluations now score governance, observability, and lifecycle control. Those are the foundational capabilities the Artemis platform was built on." The recognitions cap a year of commercial momentum. In 2026, Kore.ai raised strategic growth funding from AllianceBernstein Private Credit Investors to drive innovation and growth, added numerous new enterprise customers across the globe, and announced the launch of the new-generation Kore.ai Agent Platform, {Artemis edition}. The platform powers more than 20 billion interactions per year and supports more than 500 large enterprises worldwide.

Kore.ai named a Leader by Gartner, Forrester, and Everest Group across five major enterprise AI evaluations. Recognition spans Agentic AI Products, Conversational AI Platforms for Customer Service and Employee Services, and enterprise search. Kore.ai has been named a Leader in every edition of the Gartner Magic Quadrant covering Conversational AI Platforms since the report launched in 2022. Kore.ai, the global leader in enterprise AI platforms and agentic applications, announced that Gartner, Forrester, and Everest Group have each named the company a Leader in their most recent evaluations of the enterprise AI market. The placements cover five major categories: agentic AI products, conversational AI platforms, customer service, employee services, and enterprise search. The pattern carries more weight than any single report. Analyst firms score this market through different lenses, with different criteria, on different cycles, and all three reached the same conclusion within 12 months. The recognitions include: * Leader, Gartner(R) Magic Quadrant(TM) for Conversational AI Platforms, July 2026. This is Kore.ai's fourth consecutive Leader placement, covering every edition since Gartner first published the report in 2022. * Leader, The Forrester Wave(TM): Conversational AI Platforms For Employee Services, Q3 2026. * Leader, The Forrester Wave(TM): Conversational AI Platforms For Customer Service, Q2 2026, following a Leader placement in the Q2 2024 edition of Forrester's customer service evaluation. * Leader, The Forrester Wave(TM): Cognitive Search Platforms, Q4 2025. * Leader, Everest Group Agentic AI Products PEAK Matrix(R) Assessment 2026 Since 2022, the market these reports measure has changed twice: from scripted chatbots to generative AI, and from generative AI to autonomous agents. Evaluation criteria were rewritten with each shift. The 2026 evaluations also converge on what now separates leaders from the rest of the field. Gartner cited Kore.ai's research and development staffing above most peers evaluated and named Arch(TM) and Agent Blueprint Language(TM)(ABL) as distinctive builder tools. Forrester's employee services evaluation noted the ABL approach for improving agent predictability, guardrail enforcement, and analytics that state agent impact in dollars saved. Everest Group cited end-to-end agent lifecycle management, a model-agnostic architecture, and audit trails covering prompts, outputs, and decisions. The capabilities the analysts cite are Kore.ai inventions, protected by a patent portfolio that spans conversational AI, generative AI, and agentic AI, tracking every shift the market has made. The most recent filings cover the ground scored by the 2026 evaluations: the agent definition language itself, constraint enforcement, multi-agent coordination, agent evaluation, and governance. There has been a major shift in how enterprises buy. Purchasing decisions that once sat with individual departments now consolidate at the CIO level and cover the full lifecycle of AI agents. Much of the market sells tools that create agents, or control layers added after the fact. Kore.ai built the harness: a single platform that builds, deploys, manages, and optimizes enterprise AI agents, with governance defined from the first line and enforced separately from the model. "Enterprise AI is entering its third wave, where governance, observability, and trust define success at scale," said Raj Koneru, Founder and CEO of Kore.ai. "Every wave has raised the bar for what an enterprise platform must prove, and our pace of innovation has cleared it each time. The companies that scale AI will be the ones using AI to build, govern, and improve AI on a single layer. That is the architecture this market is moving to, and it is the one we've built." "Buyers read analyst research to reduce risk, and the signal across these five evaluations is consistency," said Peter Mullen, Chief Marketing Officer at Kore.ai. "Three independent firms scored five different categories and reached one conclusion. Enterprises choosing an agent platform today are choosing the layer that will run their AI for the next decade, and the evaluations now score governance, observability, and lifecycle control. Those are the foundational capabilities the Artemis platform was built on." The recognitions cap a year of commercial momentum. In 2026, Kore.ai raised strategic growth funding from AllianceBernstein Private Credit Investors to drive innovation and growth, added numerous new enterprise customers across the globe, and announced the launch of the new-generation Kore.ai Agent Platform, {Artemis edition}. The platform powers more than 20 billion interactions per year and supports more than 500 large enterprises worldwide.

Kore.ai names Uma Sandilya Chief Commercial Officer, placing sales, marketing, and strategy under one leader. Appointment follows a year of accelerating customer growth, the launch of the Artemis edition of the Kore.ai Agent Platform, and Leader placements from Gartner and Forrester SAN MATEO, Calif., July 22, 2026 - Kore.ai, the global leader in enterprise AI platforms and agentic applications, today named Uma Sandilya Chief Commercial Officer. Sandilya takes end-to-end ownership of sales, go-to-market (GTM), marketing, and strategy, uniting the company's commercial functions under a single leader as enterprise buyers move agentic AI from pilots into production. Enterprise AI has reached the moment Kore.ai was built for. Buying decisions that once sat with individual departments now consolidate at the CIO level and cover the full lifecycle of AI agents rather than single tools. This appointment gives Kore.ai one commercial owner to meet it, accountable from first contact through delivered value. Sandilya joined Kore.ai in 2025 as Chief Growth Officer, bringing more than two decades of enterprise AI experience working with C3.ai and McKinsey. As Chief Commercial Officer, he takes direct leadership of the global sales organization, including the Americas and International sales teams, along with the growth, marketing, and corporate strategy functions. "Enterprise AI is entering its third wave, where governance, observability, and trust define success at scale," said Raj Koneru, Founder and CEO of Kore.ai. "The next phase of our growth requires a commercial organization built the way we built our platform: one foundation with one accountable owner. Uma has shaped our commercial engine since the day he joined, and he is the right leader to run it end to end." The move caps a year of accelerating customer growth and expanding industry recognition. In May, the company launched the new-generation Kore.ai Agent Platform, Artemis edition. Gartner named Kore.ai a Leader in the Magic Quadrant(TM) for Conversational AI Platforms in 2025 and again in 2026. Forrester named the company a Leader in The Forrester Wave(TM) Conversational AI Platforms in multiple categories: Cognitive Search, Customer Service, and Employee Service. The Kore.ai platform now powers more than 11 billion interactions per year and has supported more than 500 large enterprises worldwide. "Every enterprise I've sat across the table from this year has asked the same question: how do we accelerate time to value from agent deployments? What sets Artemis apart is that it's built for what comes after the first ten agents - the governance, the observability, the reliability enterprises need to scale," said Sandilya. "My focus is to bring Artemis to more of the market through a unified growth, sales, and marketing engine, and deliver tangible business outcomes for our customers." Kore.ai also appointed Rajavardhan Nalluri as Chief Customer Operations Officer, reporting directly to the CEO. Nalluri has spent more than 11 years at Kore.ai, where he has led engineering through multiple phases of growth while working directly with customers across industries. In the new role, he leads the company's forward-deployed engineering, customer support, and cloud operations and infrastructure organizations. His mandate is to make customer delivery a competitive edge by ensuring predictable deployments, stronger support, deeper partner enablement, and measurable customer satisfaction as agentic AI moves into production. Alongside these two major appointments, Kore.ai also expanded the integrated demand generation organization under Chief Marketing Officer Peter Mullen. The commercial structure matches the position Kore.ai staked out with Artemis. Much of the market sells tools that create agents or control layers added after the fact. Kore.ai has built the harness: a single platform that builds, deploys, manages, and optimizes enterprise AI agents, with governance defined from the first line and enforced separately from the model. Artemis compiles that governance before any agent goes live, which lets enterprises operate AI systems that they can audit and scale.