Kore

What is kore.ai

Kore.ai is an enterprise conversational AI platform that provides tools to design, train, test, deploy, and manage virtual assistants for customer service, IT support, HR, sales, and other business functions. The platform combines a visual bot builder, natural language understanding (NLU), dialog management, omni‑channel routing, voice and telephony integration, and analytics into a single product targeted primarily at mid-market and large organizations.

Kore.ai focuses on delivering enterprise features such as role-based access control, multi-tenant deployments, integration adapters for common back-end systems, and compliance controls. Organizations use Kore.ai to replace scripted IVR, automate routine contact center interactions, surface knowledge from internal systems, and deliver conversational experiences on channels like web chat, mobile apps, Microsoft Teams, Slack, and voice assistants.

Kore.ai supports both low-code/no-code bot development through visual tools and a set of developer APIs and SDKs for teams that need deeper customization. This hybrid approach enables business users to prototype and product teams to extend assistants with custom integrations, business logic, and analytics.

Kore.ai features

What does kore.ai do?

Kore.ai provides a full suite of capabilities to build, run, and optimize virtual assistants that can handle natural language conversations, multimodal inputs, and automated workflows across channels. Key functional areas include intent recognition and entity extraction, dialog flow orchestration, contextual memory, and proactive outreach capabilities.

The platform enables orchestration across enterprise systems so that bots can fetch customer, order, or ticket details, initiate actions (for example, reset passwords or schedule appointments), and escalate to human agents when needed. Kore.ai also includes analytics and reporting for monitoring conversation quality, intent performance, fallback rates, and channel usage.

Kore.ai supports both text and voice interactions, with telephony and IVR integration for contact centers, plus SDKs for embedding assistants into mobile apps and websites. Multilingual support, sentiment detection, and conversation continuity (preserving context across channels and sessions) are core parts of the platform.

Kore.ai pricing

Kore.ai offers these pricing plans:

• Developer (Free): $0/month — access to the bot builder and developer tools for prototyping and testing with limited usage quotas and a single developer seat.
• Starter: $499/month — basic production usage for small teams, includes core NLU, a limited number of channel deployments, and standard analytics.
• Professional: $2,499/month — expanded usage, additional channels, advanced analytics, and standard enterprise integrations suitable for mid-market deployments.
• Enterprise: Custom pricing (contact sales) — full platform capabilities, high-volume licensing, on-premises or private cloud options, dedicated support and SLAs, and bespoke integrations.

These example tiers reflect common commercial packaging for conversational platforms; actual available plans, seats, and consumption metrics (per conversation, per user, or per seat) are determined by the contract. Check the Kore.ai pricing page for the latest published rates and enterprise options: view Kore.ai's pricing page (https://www.kore.ai/pricing).

How much is kore.ai per month

Kore.ai starts at $499/month for small production deployments under the Starter tier when billed monthly; mid-market Professional tiers typically fall in the mid-thousands per month. Enterprise contracts are custom priced based on volume, integrations, support level, and deployment model.

How much is kore.ai per year

Kore.ai costs $5,988/year for the Starter tier when billed annually at the example monthly rate of $499/month; Professional and Enterprise annual pricing varies with commitments and negotiated discounts. For precise annual quotes and volume discounts, consult Kore.ai's sales team via their enterprise pricing contact options: review Kore.ai enterprise pricing details (https://www.kore.ai/pricing).

How much is kore.ai in general

Kore.ai pricing ranges from $0 (Developer tier) to custom enterprise contracts in the tens or hundreds of thousands per year. Small pilot projects can be run on the free Developer tier; production usage for small teams typically begins at low‑to‑mid hundreds per month. Large contact center and enterprise-wide deployments are priced based on usage metrics (conversations, seats, or transactions), integration complexity, hosting model, and support level.

What is kore.ai used for

Kore.ai is used to build conversational assistants that automate customer service, employee self-service (HR and IT), and sales support tasks. Common deployments include automated contact center handling (replacing menu-driven IVR with natural language routing), knowledge base-driven Q&A bots, and process automation by triggering actions in CRM, ERP, and ticketing systems.

Enterprises use Kore.ai to reduce average handling time, provide 24/7 support for routine queries, and offer consistent responses across channels like voice, web chat, mobile, and messaging platforms. The platform is also used to augment human agents by surfacing relevant knowledge snippets, suggested responses, and case context during live conversations.

Because Kore.ai supports integration with backend systems, it is used to perform transactional operations such as checking order status, submitting incidents to service desks, scheduling appointments, and initiating returns. Its conversational layer is often combined with RPA and workflow engines to complete multi-step business processes.

Pros and cons of kore.ai

Pros:

• Comprehensive enterprise feature set including NLU, dialog management, voice and telephony integration, analytics, and security controls.
• Low-code visual bot builder paired with developer APIs and SDKs enables both citizen developers and engineering teams to contribute.
• Wide channel coverage (web chat, mobile SDKs, Microsoft Teams, Slack, Facebook Messenger, SMS, telephony) and prebuilt connectors for common enterprise systems.
• Platform-level support for analytics, conversational testing, and lifecycle management makes it easier to manage multiple assistants at scale.

Cons:

• Enterprise focus means pricing and contracts are often oriented toward mid-market and large customers; small businesses may find entry costs higher than lightweight alternatives.
• Learning curve for advanced features: teams building complex multi-turn dialogs or tight backend integrations will require developer resources and professional services.
• Customization and deep integrations benefit from professional services or in-house engineering; turnkey quick-starts for certain verticals can require additional setup time.

Kore.ai free trial

Kore.ai offers a Developer tier that acts as a free trial environment for prototyping and initial testing. The Developer tier provides access to the visual bot builder, sample NLU models, testing consoles, and limited channel deployments so teams can validate concepts without an initial license fee.

The free environment is suitable for proof-of-concept bots and developer exploration but typically includes usage quotas and restrictions on production channel capacity. Many customers begin on the Developer tier, then move to paid plans for production scale, SLAs, and enterprise integrations.

To request a timed trial of production features or to evaluate a hosted enterprise deployment, contact Kore.ai sales for a trial license or demo instance: request a Kore.ai trial and demo (https://www.kore.ai/contact-us).

Is kore.ai free

Yes, Kore.ai provides a Developer tier that is free for prototyping and testing with limited quotas. The free developer experience allows teams to evaluate the platform’s builder, NLU capabilities, and basic connectors before upgrading to paid tiers for production use.

Kore.ai API

Kore.ai exposes a range of APIs and SDKs for building, customizing, and integrating conversational assistants. Core API capabilities include:

• RESTful platform APIs to manage bots, intents, entities, dialog flows, channel configuration, and user sessions.
• NLU training and model management APIs to programmatically train and evaluate intent classifiers and entity extractors.
• Runtime APIs for sending messages, receiving responses, and managing conversation context across sessions and channels.
• Webhook and callback support for event-driven integrations and real-time notifications to external systems.

SDKs are available for common languages and runtimes (JavaScript/Node.js, Java, .NET, Python, mobile SDKs for iOS and Android) which simplify embedding Kore.ai assistants into applications and handling platform-specific details like authentication and session management. The platform also supports OAuth and SSO standards for secure API access and role-based permissions for API consumers.

Developers can extend assistant capabilities by connecting to external services via custom actions, adapters, and middleware. Integration patterns commonly include REST adapters to CRM and ticketing systems, middleware for data transformation, and connectors to telephony providers for IVR and voice channels. For full developer documentation and API reference, consult the Kore.ai developer documentation: Kore.ai developer documentation (https://developer.kore.ai).

10 Kore.ai alternatives

• Dialogflow — Google Cloud's conversational AI platform for building chatbots and voice bots with tight integration to Google Cloud services and a focus on quick NLU setup.
• IBM Watson Assistant — Enterprise-grade assistant platform with Watson NLU, strong analytics, and integration with IBM Cloud and contact center technologies.
• Amazon Lex — AWS conversational service that powers voice and text bots with native integration into other AWS services and pay-as-you-go pricing.
• Microsoft Bot Framework — SDK-first framework and Azure Bot Service for building and connecting bots to Microsoft channels and Azure services.
• Rasa — Open source conversational AI framework offering full control over NLU, dialog policies, and on-premises deployments.
• LivePerson — Conversational cloud platform focused on customer service with messaging, AI, and agent handoff workflows.
• Genesys DX — Conversational AI within Genesys contact center products designed specifically for contact center automation and orchestration.
• Nuance Mix — Voice and conversational AI with strong telephony and speech recognition components for enterprise voice automation.
• Ada — Customer service automation focused on no-code bot building and easy integration with support platforms.
• Boost.ai — Enterprise chatbot platform with strong intent management and contact center integrations.

Paid alternatives to kore.ai

• Dialogflow — Paid tiers on Google Cloud for production usage, including enterprise support and advanced integrations.
• IBM Watson Assistant — Commercial plans with enterprise SLAs, private cloud options, and advanced analytics.
• Amazon Lex — Pay-per-use pricing on AWS suitable for organizations already invested in the AWS ecosystem.
• Microsoft Bot Framework — Charges for Azure Bot Service consumption and supporting Azure resources at scale.
• LivePerson — Commercial conversational platform with managed services and enterprise-grade features.
• Genesys DX — Paid contact center add-on focused on integrated conversational experiences for contact centers.

Open source alternatives to kore.ai

• Rasa — Self-hosted open source framework for NLU and dialog management with enterprise Rasa X for collaboration and monitoring.
• Botpress — Modular, developer-friendly open source bot-building platform with a visual flow builder and on-premises support.
• DeepPavlov — Open source conversational AI library with prebuilt components for NLU and dialog management.
• OpenDialog — Open platform for conversational design and management that emphasizes conversation modeling and integration.

Frequently asked questions about Kore.ai

What is Kore.ai used for?

Kore.ai is used for building enterprise virtual assistants and conversational solutions that automate customer service, employee self-service, and contact center workflows. It enables organizations to replace scripted IVR, provide knowledge-driven Q&A, and perform transactional tasks by integrating bots with backend systems.

Does Kore.ai offer a free plan?

Yes, Kore.ai provides a Developer tier that is free for prototyping and testing with limited quotas. The Developer tier is intended for proof-of-concept work and developer experimentation before upgrading to paid production plans.

How much does Kore.ai cost per user or per month?

Kore.ai starts at $499/month for the Starter tier in typical small production packaging, with Professional and Enterprise pricing available for larger scale and custom requirements. Actual costs depend on chosen metrics (conversations, seats, or transactions), channel usage, and negotiated contract terms.

Can Kore.ai integrate with Salesforce and ServiceNow?

Yes, Kore.ai offers prebuilt connectors and integration adapters for major enterprise systems like Salesforce and ServiceNow to enable bots to read and write records, create tickets, and populate service workflows as part of conversational flows.

Is Kore.ai suitable for contact center automation?

Yes, Kore.ai is designed for contact center automation and supports telephony/IVR integration, skill-based routing, agent handoff, and reporting required for contact center operations. It can operate alongside existing contact center platforms or as part of an omnichannel automation strategy.

Does Kore.ai support voice and telephony channels?

Yes, Kore.ai supports voice interactions and telephony integration for IVR replacement and voice-enabled assistants. The platform provides media adapters, speech recognition integrations, and telephony connectors for common providers.

How secure is Kore.ai for enterprise data?

Kore.ai provides enterprise-grade security controls and deployment options including role-based access, SSO/OAuth support, encryption in transit and at rest, and private cloud or on-premises deployment models. For compliance specifics, review Kore.ai's security documentation and enterprise offerings.

Does Kore.ai offer analytics and conversation monitoring?

Yes, Kore.ai includes analytics dashboards and reporting tools that measure intent recognition accuracy, fallback rates, conversation volume by channel, sentiment trends, and agent escalation metrics. These analytics help teams iterate on training data and dialog flows.

Can developers extend Kore.ai with custom code?

Yes, Kore.ai exposes APIs and SDKs for customization and extension so developers can add custom integrations, actions, and middleware. REST APIs, webhooks, and SDKs for common languages make it possible to integrate Kore.ai into enterprise architectures.

How does Kore.ai compare to open source alternatives like Rasa?

Kore.ai is a commercial, enterprise-focused platform with an integrated visual builder and managed services, while Rasa is an open source framework that gives full control over models and deployment. Kore.ai provides packaged enterprise capabilities, connectors, and professional support, whereas Rasa requires more engineering investment for integrations but allows on-premises control without licensing fees.

kore.ai careers

Kore.ai maintains teams across product engineering, solutions consulting, professional services, and customer success to support enterprise deployments of conversational AI. Career opportunities typically include roles for NLP engineers, full-stack developers, solutions architects, data scientists, and product managers who specialize in conversational design and enterprise integrations.

The company often hires professionals with experience in voice technologies, contact center systems, cloud platforms, and large-scale integrations. Job listings, hiring criteria, and application workflows are available on Kore.ai's careers page and corporate site: check Kore.ai career opportunities (https://www.kore.ai/careers).

Kore.ai also supports professional services engagement where experienced consultants help customers implement complex deployments, tune NLU models, and build integrations with legacy systems. Many customers leverage these services to accelerate time to value and reduce internal resource requirements for complex rollouts.

kore.ai affiliate

Kore.ai operates a partner and reseller ecosystem that includes system integrators, managed service providers, and certified implementation partners. Organizations interested in referring business or reselling Kore.ai solutions typically engage through the partner program to access partner training, technical enablement, and sales support.

Affiliate and referral arrangements vary by region and partner tier; potential partners can request program details and partner onboarding materials via Kore.ai’s partner portal and partnerships team. For partnership inquiries and eligibility information, view Kore.ai partner program details (https://www.kore.ai/partners).

Where to find kore.ai reviews

Independent reviews and user feedback for Kore.ai can be found on enterprise software review sites and community forums that cover conversational AI and contact center technologies. Sources include industry review platforms, analyst reports, customer case studies published by Kore.ai, and CIO/IT-focused publications.

To read vendor-provided case studies and technical whitepapers, consult the Kore.ai resources and customers sections on their official site: Kore.ai resources and customer success stories (https://www.kore.ai/resources). For peer reviews and comparative ratings, check enterprise software review platforms and contact center buyer guides that include conversational AI vendor comparisons.