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Kore.ai

Kore.ai is focused on accelerating value generation from AI for leading brands around the world. It provides comprehensive offerings for AI work, process automation and service use cases coupled with an AI agent platform and no-code tools for custom development and deployment at Enterprise scale. Kore.ai takes an agnostic approach to model, data, cloud and applications used, giving customers freedom of choice. Trusted by over 500 partners and 400 Fortune 2000 companies, Kore.ai helps them navigate their AI strategy. The company has a strong patent portfolio in the AI space and has been recognized as a leader and an innovator by top analysts. Headquartered in Orlando Kore.ai has offices to support customers in India, the UK, the Middle East, Japan, South Korea, and Europe. Visit Kore.ai to learn more.

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Founded

2013

Location

Orlando, FL

Funding

$262,600,000.00

Kore.ai: Enterprise AI Agents for Service, Support, and Operations

Overview

[Kore.ai](https://www.kore.ai/) delivers enterprise-grade AI agents for customer service, employee support, and business operations. The platform spans AI for Service, Agent Assist, Search AI, and an **Agent Platform** for building and orchestrating autonomous and assistive agents at scale. It is cloud-, model-, and data-agnostic, integrates with existing contact center stacks, and emphasizes guardrails, security, and analytics for large deployments. Explore the [AI Agent Platform](https://www.kore.ai/ai-agent-platform) or dive into the [product documentation](https://docs.kore.ai/xo/getting-started/about-xo-platform/).

  • Founded: 2014 by CEO Raj Koneru (HQ: Orlando, FL; global offices)
  • Scale: ~1,200 employees; adoption reported across hundreds of large enterprises
  • 2024 funding: $150M growth round led by FTV Capital with participation from NVIDIA and others
  • Flagship Products

  • **Agent Platform**: No-code/pro-code builder to design agent flows, actions, and policies across channels, plus multi-agent orchestration, RAG/“agentic retrieval,” prompt tooling, evaluation, and an integrations marketplace. See the [AI Agent Platform](https://www.kore.ai/ai-agent-platform) and [docs](https://docs.kore.ai/xo/getting-started/about-xo-platform/).
  • **AI for Service**: 24/7 customer self-service, intelligent intent routing, post-interaction summaries, and automated QA for contact centers.
  • **Agent Assist**: Real-time guidance, next-best action, and summarization to improve handle time and agent productivity.
  • **Search AI**: Governed enterprise search and retrieval augmented generation across internal knowledge sources.
  • Platform Capabilities

  • **Multi-agent orchestration** for scalable autonomous and assistive workflows
  • **RAG and agentic retrieval** combining knowledge connectors and governance
  • **LLM-agnostic model hub**: Connects to OpenAI, Anthropic, Google, Cohere, Azure OpenAI, and Amazon Bedrock
  • **Builder experience**: No-code with pro-code extensions; prompt, evaluation, and analytics tooling
  • **Enterprise-grade guardrails**: Security, compliance, policy controls, and observability
  • Read the [platform overview in the docs](https://docs.kore.ai/xo/getting-started/about-xo-platform/).

    Integrations (Representative)

  • CX/Contact Center: Amazon Connect, Genesys, Zoom Contact Center, Twilio
  • CRM/ITSM: Salesforce, ServiceNow, Zendesk, HubSpot
  • Collaboration: Slack, Microsoft Teams
  • Models: OpenAI, Azure OpenAI, Anthropic, Google, Cohere, Amazon Bedrock, Amazon Q
  • Content/search: 100+ governed connectors (knowledge bases, content systems, data sources)
  • Channels and Languages

  • Deploy across 45+ digital and voice channels
  • Support for 135+ languages (per product materials)
  • Who It’s For

  • Enterprises operating large, complex contact centers
  • IT and operations leaders standardizing on a single AI agent platform
  • CX teams modernizing self-service and augmenting human agents
  • Regulated industries prioritizing governance, compliance, and data control
  • Common Use Cases

  • Customer self-service across chat, voice, and messaging
  • Agent Assist with next-best action, real-time guidance, and auto-summaries
  • Automated QA and post-call analytics
  • Knowledge search with governed RAG across internal sources
  • Workflow automation and back-office process agents
  • Customer Proof

    Browse public case studies, including RCBC and Tallahassee State College, in [Kore.ai Customer Stories](https://www.kore.ai/customer-stories).

    Analyst and Market Recognition

  • Recognized as a Leader in industry coverage of conversational AI platforms (Gartner MQ mentions via third-party summaries)
  • Buyer Feedback (Pros and Cons)

    Pros (from user sentiment across review sites):

  • Strong no-code builder with deep NLP and robust developer tooling
  • High ratings for ease of use and training resources
  • Broad integration coverage across enterprise systems
  • Effective at deflection and self-service at scale in contact centers
  • Flexible, model-agnostic approach
  • Cons (from user sentiment):

  • Enterprise-level pricing; limited public pricing transparency
  • Setup and deeper integrations can add complexity for smaller teams
  • Occasional latency under heavy orchestration or during third-party calls (community reports)
  • Fit may vary by stack and use case; users often evaluate against alternatives
  • Trials and Pricing

  • Trials are documented for Automation AI and Contact Center AI, with options to explore Agent AI and Search AI features
  • Public pricing is limited; treat third-party pricing pages as non-authoritative
  • Why Enterprises Choose Kore.ai

  • **Scale and reliability** for high-volume, multi-channel contact centers
  • **Governance and security** aligned to regulated industries
  • **Model and cloud flexibility** to avoid lock-in
  • **Measurable outcomes**: containment, reduced handle time, improved agent productivity
  • Learn More

  • Company and product overview: [Kore.ai](https://www.kore.ai/) and [AI Agent Platform](https://www.kore.ai/ai-agent-platform)
  • Product documentation: [About the XO Platform](https://docs.kore.ai/xo/getting-started/about-xo-platform/)
  • Customer stories: [Enterprise case studies](https://www.kore.ai/customer-stories)
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