impaction.ai

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Introduction: Align AI enables modern organizations to easily analyze and evaluate data from LLM-based conversational products.
Added on: Jan 20, 2025
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impaction.ai

What is impaction.ai

Align AI is designed to help organizations monitor, analyze, and evaluate interactions between users and AI chatbots. It provides actionable insights to improve chatbot performance, reduce hallucinations, and enhance overall quality. The platform is scalable, flexible, and secure, making it suitable for modern enterprises and Generative-AI companies.

How to Use impaction.ai

  1. Save data in real-time: Use pre-built SDKs to save data from your AI chatbot and users in real-time.
  2. Identify data for analysis: Access a diverse search toolkit to identify high-priority data for analysis.
  3. Analyze data at scale: Deep dive into data cohorts to understand AI chatbot performance and user interactions.
  4. Synthesize data into actionable insights: Transform your analysis into auto-generated action items for you to prioritize.
  5. Evaluate AI chatbot post-product upgrades: Understand if your AI chatbot is performing as intended after completing action items.

Use Cases of impaction.ai

Align AI is ideal for organizations that have launched Gen-AI products and need to monitor, analyze, and improve their AI chatbot's performance. It helps in identifying points of improvement, reducing hallucinations, and ensuring the chatbot meets user expectations.

Features of impaction.ai

  • Monitor

    Monitor interactions between users and your AI chatbot to ensure chatbot performance.

  • Analyze

    Analyze users and chatbot interactions to identify points of improvement.

  • Evaluate

    Evaluate your AI chatbot to reduce hallucination and increase overall chatbot quality.

  • Save data in real-time

    Use pre-built SDKs to save data from your AI chatbot and users in real-time.

  • Identify data for analysis

    Access a diverse search toolkit to identify high-priority data for analysis.

  • Analyze data at scale

    Deep dive into data cohorts to understand AI chatbot performance and user interactions.

  • Synthesize data into actionable insights

    Transform your analysis into auto-generated action items for you to prioritize.

  • Evaluate AI chatbot post-product upgrades

    Understand if your AI chatbot is performing as intended after completing action items.