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Unify fragmented agentic AI initiatives with a unified platform that orchestrates
complex, multi-agent workflows across teams, systems, and use cases.






































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Scale AI successfully beyond pilots and deliver measurable outcomes from agentic AI investments with the speed, flexibility, and control that enterprises demand.
Build in parallel across teams, leverage pre-built templates, and move AI agents from pilot to production quickly with built-in testing and optimization and ready-to-use integrations.
Integrate seamlessly with existing systems, choose the models and clouds that fit your strategy, and tailor AI agent behavior on an open, extensible platform that evolves with your needs.
Enforce governance policies and continuously monitor AI performance to control spend and deliver consistent AI experiences, driving reliable business outcomes at scale.
A unified platform to build, orchestrate, and optimize AI agents and agentic workflows end to end across teams, systems, and environments.
Orchestrate multiple specialized AI agents - each purpose-built for a specific task -to collaborate and execute complex objectives more effectively.

Test and optimize model, prompts, and AI agents in a unified platform to move from experimentation to production faster without compromising performance.

Enable AI agents to retrieve and reason over enterprise data so every response is grounded in accurate, relevant business context.

Break down delivery bottlenecks with no-code, low-code, and pro-code development options. Empower both business users and developers to build and deploy AI agents with ease.

Continuously monitor operational data to debug, analyze, and optimize AI agent behavior in production.

Apply encryption, access controls, and audit logging to meet security, compliance, and governance standards.


The Gartner® eMQ for Generative AI Engineering report covers the complete agentic application lifecycle across multiple agents, an enterprise-wide stack, and from end-to-end; including data pipelines, model management, orchestration, observability, and automation.

In its evaluation of 14 vendors on 21 criteria, Forrester recognized Kore.ai as a leader in the Forrester Wave™: Cognitive Search Platforms 2025 report. Kore.ai received the highest score possible across 11 criteria and ranked highest in the strategy category.

G2 Crowd Summer Report 2025 recognizes Kore.ai as a Leader for Best Relationship recognized for building lasting trust and support with our users.
