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LS

Lanai Software

Lanai provides an enterprise observability layer for AI, offering performance management across all AI interactions, tools, and agents. The platform reveals workflows, measures ROI, and identifies usage patterns to help leaders steer AI investments effectively. It delivers data-driven insights on AI impact, enabling organizations to scale successful use cases and mitigate risk.

San Francisco, United StatesFounded 202391K+ followers
Updated 20 months ago

Funding

$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Enterprises lack visibility and control over the use of generative AI tools by their employees, leading to potential compliance violations, data leaks, and inefficient resource allocation. Without proper oversight, organizations struggle to understand how AI is being used, which tools are most effective, and the overall impact on business outcomes.

Solution

Lanai provides an AI empowerment platform that gives enterprises the observability, control, and security needed to manage generative AI usage across the organization. The platform offers visibility into how teams are using AI, identifies optimal applications and models for specific use cases, and protects against sensitive data loss. By providing custom analytics and insights, Lanai enables organizations to make informed decisions about AI adoption, optimize resource allocation, and ensure compliance with data protection policies. The system helps companies manage the costs associated with AI technologies while providing guardrails to ensure responsible and efficient AI usage.

Target Audience

Lanai is designed for enterprise leaders, including CIOs, CISOs, and other executives, who are responsible for managing AI adoption and ensuring compliance within their organizations.

Features

  • AI usage monitoring and reporting across the enterprise
  • Custom analytics dashboards for tracking AI adoption and impact
  • Sensitive data protection and compliance enforcement
  • Identification of optimal AI tools and models for specific use cases
  • Cost management and resource allocation optimization
This profile is AI-generated and may contain inaccuracies.