# AI Monitoring

Raindrop AI is a monitoring tool specifically designed for AI products, capable of detecting hidden issues and providing alerts in a timely manner. It helps AI engineers gain deep insights into user feedback, quickly locate, and resolve problems.

Hakimo is a revolutionary AI-powered security monitoring platform designed to reduce security costs and risks for businesses by seamlessly integrating with existing security systems. Through real-time monitoring and intelligent analysis, Hakimo provides efficient security solutions, significantly reducing incidents of vandalism and theft. Key advantages include eliminating the need for expensive hardware upgrades, rapid deployment, compatibility with multiple security devices, and suitability for diverse business security needs. In terms of pricing, Hakimo helps clients save up to $125,000 annually, offering a more cost-effective solution compared to traditional security methods.

RivalSense is an AI-powered monitoring service that connects over 80 data sources to provide users with deep insights into companies. It helps users keep track of competitors, clients, target accounts, suppliers, partners, investors, and their own company, offering curated weekly updates to help users maintain a competitive edge in their business and career development.

Laminar is an open-source monitoring and analysis tool designed specifically for AI agents and RAG applications, offering functionalities similar to DataDog and PostHog. It utilizes OpenTelemetry for automatic monitoring and supports rapid, reliable data collection and analysis. Written in Rust, Laminar features high performance and reliability, suitable for large-scale data processing. By providing detailed tracing, events, and analysis capabilities, it helps developers and companies optimize the performance of AI applications and enhance user experiences.

Let Me Know When is an AI-driven website monitoring platform that automatically tracks changes, price fluctuations, and competitor updates, providing real-time online monitoring services for individuals and businesses. Leveraging AI technology, it offers intelligent insights to help users stay updated on market dynamics and competitor actions.

Edge Delta is an automated monitoring platform that uses AI/ML technology to automatically detect anomalies and issue alerts, eliminating the need for manual alert threshold settings or predictive monitoring conditions. The platform provides assisted troubleshooting features by aggregating log data, helping users quickly locate issues and affected resources. Edge Delta also supports PB-level log search, allowing users to store and search all data without sampling or filtering events to control costs. Additionally, Edge Delta has been recognized by Gartner as a Cool Vendor in Monitoring and Observability for 2023 and is SOC 2 Type 2 certified, capable of supporting sensitive, mission-critical information.

Hexowatch is your AI assistant for monitoring, tracking, and archiving visual, content, price, source code, technical, availability, or WHOIS changes on any website. It helps you stay informed about website changes in real-time and offers comprehensive features and benefits. Visit our official website for pricing information.

Data Scientist Assistant is your comprehensive MLOps, monitoring, and AI quality & governance solution. It automatically detects changes and trends in accuracy, data size, model drift, runtime, scheduling, and more. Providing a unified view and key metrics, you gain complete insight into your machine learning environment. It also tracks and monitors model performance and data drift to quickly identify accuracy drops and data quality changes. No need to set up or wait for infrastructure configuration; with simple code integration, you have full control over what you send. Configure custom alerts and notifications, and visualize trends and correlations across projects. Get free access as an alpha user.

WhyLabs AI Observability Platform is a real-time monitoring and management platform for AI models and data. It helps users identify data and machine learning issues, achieve continuous improvement, and avoid costly failures. The platform supports monitoring both structured and unstructured data, as well as all types of machine learning models, including LLMs. Users can perform comprehensive data analysis, detect data drift and data quality issues, and receive alerts about differences between training and deployment. WhyLabs AI Observability Platform integrates quickly into existing data pipelines and multi-cloud architectures, supporting the transformation from massive data to actionable real-time insights. Pricing information can be found on the official website.