Best AI tools for< Root Cause Analyst >

Segwise is an AI tool designed to help game developers increase their game's Lifetime Value (LTV) by providing insights into player behavior and metrics. The tool uses AI agents to detect causal LTV drivers, root causes of LTV drops, and opportunities for growth. Segwise offers features such as running causal inference models on player data, hyper-segmenting player data, and providing instant answers to questions about LTV metrics. It also promises seamless integrations with gaming data sources and warehouses, ensuring data ownership and transparent pricing. The tool aims to simplify the process of improving LTV for game developers.

Wild Moose is an AI-powered SRE Copilot tool designed to help companies handle incidents efficiently. It offers fast and efficient root cause analysis that improves with every incident by automatically gathering and analyzing logs, metrics, and code to pinpoint root causes. The tool converts tribal knowledge into custom playbooks, constantly improves performance with a system model that learns from each incident, and integrates seamlessly with various observability tools and deployment platforms. Wild Moose reduces cognitive load on teams, automates routine tasks, and provides actionable insights in real-time, enabling teams to act fast during outages.

MaestroQA is a comprehensive Call Center Quality Assurance Software that offers a range of products and features to enhance QA processes. It provides customizable report builders, scorecard builders, calibration workflows, coaching workflows, automated QA workflows, screen capture, accurate transcriptions, root cause analysis, performance dashboards, AI grading assist, analytics, and integrations with various platforms. The platform caters to industries like eCommerce, financial services, gambling, insurance, B2B software, social media, and media, offering solutions for QA managers, team leaders, and executives.

Small Hours is an AI-powered Root Cause Analysis (RCA) tool designed to minimize downtime and maximize efficiency for engineering teams. It offers automated RCA 24/7, streamlining on-call rotations, and providing intelligent triage of issues. The tool supports OpenTelemetry for seamless integration with any stack, hooks into existing alarms to identify critical issues, and allows for connecting codebases and runbooks as context and instructions. Small Hours is built by former engineers of Amazon and is optimized for enterprise velocity and scale, with a focus on resolving issues faster and providing accurate fixes.

EthonAI is a Manufacturing Analytics System that offers a suite of software tools to achieve operational excellence at scale in manufacturing industries. The system provides real-time insights to improve product quality and process efficiency by analyzing production data from various sources. EthonAI helps in root cause analysis, defect detection, process monitoring, product tracking, and material flow analysis, ultimately redefining operational excellence in manufacturing.

Pulse is a world-class expert support tool for BigData stacks, specifically focusing on ensuring the stability and performance of Elasticsearch and OpenSearch clusters. It offers early issue detection, AI-generated insights, and expert support to optimize performance, reduce costs, and align with user needs. Pulse leverages AI for issue detection and root-cause analysis, complemented by real human expertise, making it a strategic ally in search cluster management.

Goast.ai is an AI assistant designed to help engineering teams resolve errors and exceptions faster by automatically analyzing and fixing issues from error logs. It offers real-time bug fixes, root cause analysis, and automated bug fixing processes, ultimately saving time and improving productivity for development teams. Goast integrates with popular observability tools, supports various frameworks and languages, and provides a user-friendly interface for seamless collaboration and feedback.

HelpMoji is a software tool designed to help users easily fix app problems such as glitchy apps, frozen screens, and stubborn errors. With over 190 million software errors resolved, HelpMoji provides quick and easy solutions to resolve any software issue. The tool features a powerful search engine and diagnostic tools to detect the root cause of errors, along with clear, step-by-step instructions for users to follow. HelpMoji is known for its quick and reliable service, easy-to-follow guidance suitable for all tech levels, and 24/7 availability for assistance. Say goodbye to frustrating app problems with HelpMoji!

BigPanda is an AI-powered ITOps platform that helps businesses automatically identify actionable alerts, proactively prevent incidents, and ensure service availability. It uses advanced AI/ML algorithms to analyze large volumes of data from various sources, including monitoring tools, event logs, and ticketing systems. BigPanda's platform provides a unified view of IT operations, enabling teams to quickly identify and resolve issues before they impact business-critical services.

Parity is the world's first AI SRE tool designed to assist on-call engineers working with Kubernetes. It acts as the first line of defense by conducting investigations, determining root causes, and suggesting remediation before the engineer even opens their laptop. With features like Root Cause Analysis in Seconds, Intelligent Runbook Execution, and the ability to chat directly with the cluster, Parity streamlines incident response and enhances operational efficiency.

Testim is an AI-powered UI and functional testing platform that helps accelerate test authoring, reduce test maintenance, and release higher-quality apps faster. It offers a range of features such as fast authoring speed, test stability, root cause analysis, and TestOps, making it an efficient and effective solution for product development teams.

ScrumDesk is an online scrum and kanban project management tool for agile teams. It supports objectives and key results, user stories mapping, retrospectives, root cause analysis and many great agile practices. Since 2007.

DeltaGen is an AI-powered win-loss analysis tool that combines artificial intelligence and human expertise to provide precise and unbiased insights directly from buyers. By leveraging technology, approach, and expertise, DeltaGen helps organizations quickly make informed decisions, drive higher win rates, and unlock growth. The platform offers real-time win-loss analysis at scale, empowering teams to identify strengths and weaknesses, keep a pulse on customers' needs, and improve sales performance.

Loops is an AI tool that empowers data analysts and product managers to make informed decisions based on deep, accurate causal insights. It leverages proprietary causal inference models to identify opportunities for maximizing key performance indicators (KPIs) without the need for traditional A/B testing. By analyzing user behaviors and business metrics, Loops helps companies prioritize efforts efficiently and proactively review impactful opportunities. The tool simplifies the process of understanding causality, providing actionable insights for product teams to drive growth and increase KPIs.

Mercurio Analytics is an AI-driven data insights and analytics platform designed to empower government agencies with advanced data management and analytics capabilities. The platform offers a purpose-built, person-centric SaaS solution that democratizes data access, eliminates reliance on costly consultants, and enables informed decision-making for impactful outcomes in community services. By leveraging AI-powered insights, Mercurio Analytics helps government agencies navigate complex social challenges, uncover root causes, and drive meaningful change through data-driven decision-making and policy creation.

Iodine Software is a healthcare technology company that provides AI-enabled solutions for revenue cycle management, clinical documentation integrity, and utilization management. The company's flagship product, AwareCDI, is a suite of solutions that addresses the root causes of mid-cycle revenue leakage from admission through post-billing review. AwareCDI uses Iodine's CognitiveML AI engine to spot what is missing in patient documentation based on clinical evidence. This enables healthcare organizations to maximize documentation integrity and revenue capture. Iodine Software also offers AwareUM, a continuous, intelligent prioritization solution for peak UM performance.

Kaizan is an all-in-one AI platform that helps businesses measure client sentiment, increase client coverage, and optimize productivity. It uses AI to analyze client communication and identify the root causes affecting clients from renewing and scaling. Kaizan also provides AI-generated client development plans that help businesses close more deals and increase revenue.

AdminIQ is an AI-powered site reliability platform that helps businesses improve the reliability and performance of their websites and applications. It uses machine learning to analyze data from various sources, including application logs, metrics, and user behavior, to identify and resolve issues before they impact users. AdminIQ also provides a suite of tools to help businesses automate their site reliability processes, such as incident management, change management, and performance monitoring.

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.

Bugpilot is an error monitoring tool specifically designed for React applications. It offers a comprehensive platform for error tracking, debugging, and user communication. With Bugpilot, developers can easily integrate error tracking into their React applications without any code changes or dependencies. The tool provides a user-friendly dashboard that helps developers quickly identify and prioritize errors, understand their root causes, and plan fixes. Bugpilot also includes features such as AI-assisted debugging, session recordings, and customizable error pages to enhance the user experience and reduce support requests.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

The 'awesome-LLM-AIOps' repository is a curated list of academic research and industrial materials related to Large Language Models (LLM) and Artificial Intelligence for IT Operations (AIOps). It covers various topics such as incident management, log analysis, root cause analysis, incident mitigation, and incident postmortem analysis. The repository provides a comprehensive collection of papers, projects, and tools related to the application of LLM and AI in IT operations, offering valuable insights and resources for researchers and practitioners in the field.

awesome-AIOps is a curated list of academic researches and industrial materials related to Artificial Intelligence for IT Operations (AIOps). It includes resources such as competitions, white papers, blogs, tutorials, benchmarks, tools, companies, academic materials, talks, workshops, papers, and courses covering various aspects of AIOps like anomaly detection, root cause analysis, incident management, microservices, dependency tracing, and more.

Telco-AIX is a collaborative experimental workspace dedicated to exploring data-driven decision-making use-cases using open source AI capabilities and open datasets. The repository focuses on projects related to revenue assurance, fraud management, service assurance, latency predictions, 5G network operations, sustainability, energy efficiency, SecOps-AI for networking, AI-powered SmartGrid, IoT perimeter security, anomaly detection, root cause analysis, customer relationship management voice app, Starlink quality of experience predictions, and NoC AI augmentation for OSS.

Roo Code Memory Bank is a tool designed for AI-assisted development to maintain project context across sessions. It provides a structured memory system integrated with VS Code, ensuring deep understanding of the project for the AI assistant. The tool includes key components such as Memory Bank for persistent storage, Mode Rules for behavior configuration, VS Code Integration for seamless development experience, and Real-time Updates for continuous context synchronization. Users can configure custom instructions, initialize the Memory Bank, and organize files within the project root directory. The Memory Bank structure includes files for tracking session state, technical decisions, project overview, progress tracking, and optional project brief and system patterns documentation. Features include persistent context, smart workflows for specialized tasks, knowledge management with structured documentation, and cross-referenced project knowledge. Pro tips include handling multiple projects, utilizing Debug mode for troubleshooting, and managing session updates for synchronization. The tool aims to enhance AI-assisted development by providing a comprehensive solution for maintaining project context and facilitating efficient workflows.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

Merlinn is an open-source AI-powered on-call engineer that automatically jumps into incidents & alerts, providing useful insights and RCA in real time. It integrates with popular observability tools, lives inside Slack, offers an intuitive UX, and prioritizes security. Users can self-host Merlinn, use it for free, and benefit from automatic RCA, Slack integration, integrations with various tools, intuitive UX, and security features.

Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency. It helps you synthesize data and provide AI feedback to improve the quality of your AI models. With Distilabel, you can: * **Synthesize data:** Generate synthetic data to train your AI models. This can help you to overcome the challenges of data scarcity and bias. * **Provide AI feedback:** Get feedback from AI models on your data. This can help you to identify errors and improve the quality of your data. * **Improve your AI output quality:** By using Distilabel to synthesize data and provide AI feedback, you can improve the quality of your AI models and get better results.

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. It helps users improve AI output quality through data quality, take control of their data and models, and improve efficiency by quickly iterating on the right data and models. Argilla is an open-source community-driven project that provides tools for achieving and maintaining high-quality data standards, with a focus on NLP and LLMs. It is used by AI teams from companies like the Red Cross, Loris.ai, and Prolific to improve the quality and efficiency of AI projects.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.

Airgorah is a WiFi security auditing software written in Rust that utilizes the aircrack-ng tools suite. It allows users to capture WiFi traffic, discover connected clients, perform deauthentication attacks, capture handshakes, and crack access point passwords. The software is designed for testing and discovering flaws in networks owned by the user, and requires root privileges to run on Linux systems with a wireless network card supporting monitor mode and packet injection. Airgorah is not responsible for any illegal activities conducted with the software.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

OpenShield is a firewall designed for AI models to protect against various attacks such as prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency granting, overreliance, and model theft. It provides rate limiting, content filtering, and keyword filtering for AI models. The tool acts as a transparent proxy between AI models and clients, allowing users to set custom rate limits for OpenAI endpoints and perform tokenizer calculations for OpenAI models. OpenShield also supports Python and LLM based rules, with upcoming features including rate limiting per user and model, prompts manager, content filtering, keyword filtering based on LLM/Vector models, OpenMeter integration, and VectorDB integration. The tool requires an OpenAI API key, Postgres, and Redis for operation.

Focuses on investigative questioning in the Five Whys process.

Guide for root cause analysis using fishbone diagrams, encouraging detailed problem-solving.

The best assistant for IT admins, get to the root cause of any issue

Enhanced QA/QC expertise with user-driven improvements, powered by OpenAI

Enhances problem-solving skills and avoids direct solutions.

Critically analyze SLIs/SLOs with a deeper, provocative approach

I can illustrate how every instance of mass suffering was caused by greed.

A GPT that traces back the origins of ideas, concepts, or data.

Expert on Cat S22 FLIP rooting and custom ROMs, with a broad internet research scope.