Best AI monitoring AI tools

Langtail is a low-code platform for testing and debugging AI applications powered by Large Language Models (LLMs). It helps teams ensure predictability and safety with a spreadsheet-like testing interface, an AI Firewall to block malicious inputs, and collaborative tools for prompt management. Catch bugs and optimize your LLM outputs before they reach users.

Laminar is an open-source observability and evaluation platform designed for developers building reliable AI applications. It provides comprehensive tools for tracing, evaluating, and debugging LLM-powered systems. Key features include real-time tracing, browser agent observability, an interactive playground, and integrated dataset management, simplifying the entire MLOps lifecycle from development to production.

viAct is an AI-powered video analytics platform designed for the construction industry. It automates worksite monitoring to enhance safety, productivity, and compliance. By leveraging existing CCTV cameras, viAct's computer vision technology detects safety hazards like PPE non-compliance and danger zone intrusions, providing real-time alerts and data-driven insights through a smart dashboard.

Cekura is an AI-powered platform for testing and observability of conversational AI agents. It enables developers to automate the testing of voice and chat agents across thousands of scenarios, using various personas and real-world conditions to ensure reliability, prevent failures, and accelerate deployment.

RivalSense is an AI-powered competitive intelligence tool designed for founders and business leaders. It automates competitor monitoring by tracking over 80 data sources, including websites, social media, job listings, and news sites. Users receive curated, actionable insights in a weekly email or Slack briefing, covering product launches, hiring changes, partnerships, and financial news. This saves significant time compared to manual tracking and helps businesses stay ahead of the competition.