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Katonic

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Unlock the potential of AI with Katonic's no-code platform. Build, train, and deploy custom AI applications and chatbots effortlessly. Choose from 75 large language models and experience the power of Generative AI.

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What is Katonic?

The Katonic Generative AI Platform revolutionizes AI application development by providing a no-code solution that streamlines the creation, training, and deployment of personalized AI applications and chatbots. With an extensive range of 75 large language models (LLMs) available, users can leverage the capabilities of Generative AI without requiring coding proficiency.

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Website traffic

  • Monthly visits
    12.44K
  • Avg visit duration
    00:00:53
  • Bounce rate
    90.72%
  • Unique users
    --
  • Total pages views
    16.73K

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Katonic FQA

  • What is Generative AI?icon plus
  • What are some use cases of Generative AI?icon plus
  • What makes the Katonic Generative AI Platform special?icon plus
  • What is the Katonic MLOps Platform?icon plus
  • What are some resources available from Katonic?icon plus

Katonic Use Cases

Build AI-powered chatbots and digital assistants that can access and process information from documents or dynamic content refreshed automatically through pre-built connectors.

Identify and extract essential information from unstructured text or surface insights in specialised domain areas without having to create any templates.

Transform dense text into a personalised executive overview, capturing key points from financial reports, meeting transcriptions, and more.

Read and classify written input with as few as zero examples.

Generate content for a specific purpose with expert-level accuracy.

Build semantic search engines which understand the user's intent and the contextual meaning of terms to improve accuracy and search results.

Generative AI enhances data analysis by creating synthetic data, detecting anomalies, extracting key features, and predicting future trends, all within the guard rails you set.

Assist developers in analysing and generating code in various programming languages.

Build recommendation systems that can suggest products, services, or content to users based on their past behaviour and preferences.

Build content moderation systems to moderate content for harmful or inappropriate content.

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