Skip to main content
Paid
Kore.ai logo
paid

Kore.ai

Verified 3 minutes ago
Compare Alternatives Claim this listing
About Kore.ai 22s read
1 min read

Kore.ai is an enterprise AI platform for building intelligent virtual assistants for customer experience and employee support with a no-code bot builder and LLM integration. It provides pre-built industry tools for banking, healthcare, retail, and IT with domain-specific NLU models trained on millions of industry conversations. Kore.ai's XO Platform supports full lifecycle management of AI agents from design to deployment and continuous optimisation.

Best for: Large enterprises in regulated industries deploying domain-specific virtual assistants
Screenshot
Key Features
  • XO Platform for end-to-end AI agent management
  • Pre-built industry-specific solutions
  • No-code and low-code bot builder
  • LLM orchestration with multiple model support
  • Omnichannel deployment with voice and digital
Pros & Cons
What we like
Strong industry-specific pre-built solutions
Comprehensive platform covering full AI agent lifecycle
Flexible LLM integration options
What to consider
Enterprise-only pricing limits SMB access
Steep learning curve for the full platform
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Kore.ai!

Log in to leave a review.

You might also like
Wolfram Alpha W
Wolfram Alpha
freemium
AssemblyAI A
AssemblyAI
freemium
Recharge R
Recharge
paid
User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Trending Now
Claude AI Learning Brain OpenAI Operator
Tool Info
Verified 3 minutes ago
Pricing paid
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 20, 2026
Check Current Pricing
Related Tools
Wolfram Alpha freemium AssemblyAI freemium Recharge paid Omnisend freemium
Compare

See how Kore.ai stacks up against alternatives.

vs Wolfram Alpha vs AssemblyAI vs Recharge
Pricing
Paid
Visit Tool
Best For

Large enterprises in regulated industries deploying domain-specific virtual assistants

Embed this tool

Add a link badge to your website or blog:

People Also Viewed

Wolfram Alpha
Wolfram Alpha
Freemium
 AssemblyAI
AssemblyAI
Freemium
 Recharge
Recharge
Paid
 Omnisend
Omnisend
Freemium