Best AI tools for< Monitor Key Metrics >

Narrative BI is a generative analytics platform designed for growth teams to automatically transform raw data into actionable narratives. It offers integrations with popular tools like Google Analytics, Google Ads, Facebook Ads, and more, providing users with AI-generated insights and alerts to optimize their marketing and advertising strategies. The platform aims to simplify data analysis and decision-making processes by condensing complex data into easy-to-understand information, enabling users to make informed decisions based on real-time data.

Out Of The Blue is an AI-powered revenue optimization platform designed to help eCommerce businesses identify and address revenue-impacting issues in real-time. The platform monitors key metrics and data sources across marketing, sales, and analytics systems to detect anomalies and outages that can lead to lost revenue. By leveraging AI and machine learning algorithms, Out Of The Blue automates the process of detecting and diagnosing revenue-related problems, enabling businesses to respond quickly and effectively. The platform provides actionable insights and recommendations to help businesses optimize their revenue streams and improve overall performance.

Monitr is a data visualization and analytics platform that allows users to query, visualize, and share data in one place. It helps in tracking key metrics, making data-driven decisions, and breaking down data silos to provide a unified view of data from various sources. Users can create charts and dashboards, connect to different data sources like Postgresql and MySQL, and collaborate with teammates on SQL queries. Monitr's AI features are powered by Meta AI's Llama 3 LLM, enabling the development of powerful and flexible analytics tools for maximizing data utilization.

Hexometer is an AI-powered website monitoring tool that helps businesses protect and grow their online presence. It continuously monitors websites for availability, performance, user experience, SEO, health, and security issues, and alerts businesses when problems are detected. Hexometer also provides businesses with insights into their website's performance and helps them identify opportunities for improvement.

Opinly is an AI-powered competitive analysis tool designed to provide businesses with real-time data tracking and comprehensive competitive analysis. It offers services such as competitive price analysis, product comparison, landing page analysis, SEO monitoring, and competitor email monitoring. Opinly helps businesses gain strategic insights, understand market dynamics, make informed decisions, and stay ahead in the competitive market.

proudP is an AI-powered ally for at-home prostate health monitoring. It helps men track their prostate health discreetly and conveniently, providing insights for informed discussions with healthcare professionals. The app allows for private and convenient home monitoring, sharing results with doctors, self-tracking with trends, and maintaining a voiding diary with fluid intake. With clinical accuracy and endorsements from urologists, proudP aims to empower users to take control of their health journey.

ConvoZen.AI is a leading AI-driven conversational intelligence platform that provides businesses with insights and tools to improve their customer interactions. The platform offers a range of features, including AI-powered insights and key moment identification, conversation sentiment analysis, automated compliance audit, agent performance management, and custom reports and analytics. ConvoZen.AI integrates with enterprise CRM, emails, and other systems to provide real-time alerts and actionable insights. The platform is designed to help businesses improve sales, customer experience, compliance, and agent performance.

Schwarzthal Tech's Wunderschild is an AI-driven platform for financial crime intelligence that revolutionizes compliance and investigation techniques. It provides intelligence solutions based on network assessment, data linkage, flow aggregation, and machine learning. The platform offers expertise in identifying risks related to Politically Exposed Persons, Serious Organised Crime, Terrorism Financing, and more. Wunderschild's capabilities include compliance enhancement through semi-supervised learning techniques, deep-dive investigations into transnational crime cases, and global companies' beneficiaries network analysis.

Censius is an AI Observability Platform for Enterprise ML Teams. It provides end-to-end visibility of structured and unstructured production models, enabling proactive model management and continuous delivery of reliable ML. Key features include model monitoring, explainability, and analytics.

DTiQ is a leading provider of loss prevention and intelligent video solutions for businesses in the United States and globally. Their video surveillance and loss prevention solutions help businesses manage key aspects from any device, resulting in increased profits. DTiQ offers SmartAudit™, SmartAnalysis, and SmartAssurance products to enhance operational quality, save time, and provide innovative loss prevention solutions. Trusted by hundreds of brands, DTiQ prioritizes security, integrity, and support to help businesses run smarter and more efficiently.

InStore.ai is an AI-powered tool designed to monitor, compare, and elevate customer experience across stores. It helps businesses improve store performance by providing key performance scores, proactive guidance, and instant search capabilities to summarize in-store interactions and trends. The tool offers solutions for various industries like fuel & convenience, hospitality, and luxury retail, enabling businesses to understand customer feedback, optimize service, and refine customer interactions. InStore.ai leverages AI to enhance face-to-face experiences for customers and employees, providing timely insights, detailed support, and configurable recommendations tailored to specific audiences.

Octolens is an AI-powered social listening tool designed for B2B businesses. It leverages artificial intelligence to monitor and analyze online conversations, providing valuable insights into customer sentiment, industry trends, and competitor activities. Octolens helps businesses make data-driven decisions by tracking brand mentions, identifying key influencers, and uncovering emerging topics. With its advanced algorithms, Octolens offers a comprehensive solution for businesses looking to enhance their social media strategy and stay ahead of the competition.

Quill is an AI-powered SEC filing platform that allows users to extract key information from filings, answer questions about public investor materials, access historical financial data, and receive real-time SEC filings and earnings call transcripts. The platform leverages financially-tuned AI to provide accurate and up-to-date information, making it a valuable tool for analysts and professionals in the finance industry.

EarningsCall.ai is an AI-powered tool that provides stock earnings call summaries and insights, helping users save time by summarizing key information from earnings call transcripts. It offers personalized Q&A sections and aims to increase equity research productivity by 10x. Users can access summaries on Guidance, Strategic Updates, Risk, and more, making it easier to monitor multiple companies at once. The tool acts as a virtual CFO/CEO bot, assisting in analyzing company trends, priorities, and challenges.

ModelOp is the leading AI Governance software for enterprises, providing a single source of truth for all AI systems, automated process workflows, real-time insights, and integrations to extend the value of existing technology investments. It helps organizations safeguard AI initiatives without stifling innovation, ensuring compliance, accelerating innovation, and improving key performance indicators. ModelOp supports generative AI, Large Language Models (LLMs), in-house, third-party vendor, and embedded systems. The software enables visibility, accountability, risk tiering, systemic tracking, enforceable controls, workflow automation, reporting, and rapid establishment of AI governance.

Legal Robot is a legal technology company that provides automated legal analysis and compliance tools. Its products include Contract Analytics, Legal Simplifier, and Compliance Tools. Contract Analytics automatically extracts key terms and finds problems with legal style, definitions, and risky language. Legal Simplifier translates legalese into plain language to improve comprehension and accessibility. Compliance Tools helps businesses manage GDPR and DMCA requests, monitor website legal terms, and more. Legal Robot's mission is to make legal analysis and compliance easier and more accessible for everyone.

The website is experiencing a connection issue with the upstream server, resulting in a connection failure. The error message 'Connection to upstream failed: connection failure Request ID: 4fa2116c-f058dec7' indicates that the server is unable to establish a connection with the intended upstream server. This issue may be due to network problems, server misconfiguration, or temporary unavailability of the upstream server.

New Relic is an AI monitoring platform that offers an all-in-one observability solution for monitoring, debugging, and improving the entire technology stack. With over 30 capabilities and 750+ integrations, New Relic provides the power of AI to help users gain insights and optimize performance across various aspects of their infrastructure, applications, and digital experiences.

Browse AI is an AI tool that offers the easiest way to extract and monitor data from any website without the need for coding. Users can train a robot in just 2 minutes to extract specific data in spreadsheet format or monitor data on a schedule. With over 7,000 integrations, Browse AI allows users to scrape structured data, run multiple robots simultaneously, emulate user interactions, handle pagination, and more. Trusted by over 370,000 individuals and teams, Browse AI is a powerful tool for data extraction and monitoring tasks.

Arize AI is an AI Observability & LLM Evaluation Platform that helps you monitor, troubleshoot, and evaluate your machine learning models. With Arize, you can catch model issues, troubleshoot root causes, and continuously improve performance. Arize is used by top AI companies to surface, resolve, and improve their models.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Langtrace is an open source observability software that lets you capture, debug, and analyze traces and metrics from all your applications that leverage LLM APIs, Vector Databases, and LLM-based Frameworks. It supports Open Telemetry Standards (OTEL), and the traces generated adhere to these standards. Langtrace offers both a managed SaaS version (Langtrace Cloud) and a self-hosted option. The SDKs for both Typescript/Javascript and Python are available, making it easy to integrate Langtrace into your applications. Langtrace automatically captures traces from various vendors, including OpenAI, Anthropic, Azure OpenAI, Langchain, LlamaIndex, Pinecone, and ChromaDB.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

GPUStack is an open-source GPU cluster manager designed for running large language models (LLMs). It supports a wide variety of hardware, scales with GPU inventory, offers lightweight Python package with minimal dependencies, provides OpenAI-compatible APIs, simplifies user and API key management, enables GPU metrics monitoring, and facilitates token usage and rate metrics tracking. The tool is suitable for managing GPU clusters efficiently and effectively.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

AI Central is a powerful tool designed to take control of your AI services with minimal overhead. It is built on Asp.Net Core and dotnet 8, offering fast web-server performance. The tool enables advanced Azure APIm scenarios, PII stripping logging to Cosmos DB, token metrics through Open Telemetry, and intelligent routing features. AI Central supports various endpoint selection strategies, proxying asynchronous requests, custom OAuth2 authorization, circuit breakers, rate limiting, and extensibility through plugins. It provides an extensibility model for easy plugin development and offers enriched telemetry and logging capabilities for monitoring and insights.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.

Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of Retrieval-Augmented Generation (RAG) systems. It simplifies the process with automated integration, customizable evaluation metrics, and support for various Large Language Models (LLMs) tailored to specific needs. The aim is to reduce LLM hallucination risks and enhance reliability.

Firebase Genkit (beta) is a framework with powerful tooling to help app developers build, test, deploy, and monitor AI-powered features with confidence. Genkit is cloud optimized and code-centric, integrating with many services that have free tiers to get started. It provides unified API for generation, context-aware AI features, evaluation of AI workflow, extensibility with plugins, easy deployment to Firebase or Google Cloud, observability and monitoring with OpenTelemetry, and a developer UI for prototyping and testing AI features locally. Genkit works seamlessly with Firebase or Google Cloud projects through official plugins and templates.

AgentOps is a toolkit for evaluating and developing robust and reliable AI agents. It provides benchmarks, observability, and replay analytics to help developers build better agents. AgentOps is open beta and can be signed up for here. Key features of AgentOps include: - Session replays in 3 lines of code: Initialize the AgentOps client and automatically get analytics on every LLM call. - Time travel debugging: (coming soon!) - Agent Arena: (coming soon!) - Callback handlers: AgentOps works seamlessly with applications built using Langchain and LlamaIndex.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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Seismic and volcanic monitor with in-depth data and visuals.

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A specialist in DataOps and Data Observability, aiding in data management and monitoring.

EUR/ZAR analysis with real-time rate and current news focus

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Expert in Broad Financial Compliance

Specializes in Anti-Money Laundering/Counter-Financing of Terrorism compliance and analysis.

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