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NAVI

Policy Driven Safeguards for your LLM Apps

Freemium
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Description

NAVI offers robust safeguards for businesses utilizing Large Language Model (LLM) applications. The platform specializes in real-time verification of LLM inputs and outputs against predefined business policies and factual data. This ensures that AI interactions, such as those from customer service chatbots or AI agents, remain compliant and accurate, preventing policy violations and factual errors before they impact operations.

By integrating NAVI, companies can automatically check documents like legal agreements and financial reports for compliance breaches. It also facilitates the auditing of AI agentic workflows against internal standards (e.g., SOPs, ISO documents) by connecting with LLM observability tools. NAVI aims to provide clarity through actionable insights, build confidence by validating responses and preventing hallucinations, and offers deployment flexibility with cloud or on-premise options for minimal latency.

Key Features

  • Real-time AI Verification: Instantly check LLM inputs/outputs.
  • Policy Compliance Checks: Ensure adherence to business policies and regulations.
  • Chatbot Response Verification: Monitor customer service chatbots for policy violations and factual errors.
  • Document Compliance Auditing: Automatically detect violations in legal agreements, financial reports, etc.
  • AI Agentic Workflow Auditing: Check AI agent performance against SOPs or ISO standards.
  • Hallucination Prevention: Validate responses to ensure factual accuracy.
  • Flexible Deployment: Available as Cloud or On-premise solution.
  • Verification API: Seamlessly integrate verification capabilities into AI agents.

Use Cases

  • Ensuring customer service chatbots adhere to company policies.
  • Verifying factual accuracy in LLM responses.
  • Auditing legal and financial documents for compliance.
  • Monitoring AI agent workflows for adherence to standard operating procedures.
  • Preventing LLM hallucinations in business applications.
  • Maintaining brand safety and trust in AI interactions.

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