Alternatives to Azure SRE Agent
Compare Azure SRE Agent alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Azure SRE Agent in 2026. Compare features, ratings, user reviews, pricing, and more from Azure SRE Agent competitors and alternatives in order to make an informed decision for your business.
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New Relic
New Relic
There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications. -
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NeuBird
NeuBird
NeuBird AI is a Production Ops Platform for ITOps, SRE, and DevOps teams that brings agentic AI to production cloud environments. It continuously analyzes telemetry across Amazon CloudWatch, Azure Monitor, logs, metrics, traces, and changes to help teams prevent incidents, automate root cause analysis, and optimize cloud operations in real time. Instead of relying on dashboards and manual investigation, NeuBird AI automatically detects degradation, reduces alert noise, and identifies root cause in minutes. It enables teams to move from reactive firefighting to proactive operations. Built for production cloud and Kubernetes environments, NeuBird integrates with AWS, Azure and OpenShift services and existing observability and incident management tools with no rip and replace required. -
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StackAI
StackAI
StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise -
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Datadog
Datadog
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.Starting Price: $15.00/host/month -
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PagerDuty
PagerDuty
PagerDuty, Inc. (NYSE:PD) is a leader in digital operations management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. PagerDuty's ecosystem of over 350+ integrations, including Slack, Zoom, ServiceNow, AWS, Microsoft Teams, Salesforce, and more, enable teams to centralize their technology stack, get a holistic view of their operations, and optimize processes within their toolsets. -
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Ciroos
Ciroos
Ciroos is an AI-driven Site Reliability Engineering (SRE) teammate platform that transforms how SRE and operations teams handle incidents by using multi-agent AI to reduce toil, detect anomalies early, and accelerate investigations and remediation across complex, cross-domain environments. The Ciroos AI SRE Teammate integrates with existing telemetry, observability platforms, ticketing systems, collaboration tools, and cloud providers, and works in both automatic and human-prompted modes to proactively investigate alerts, correlate data across disparate systems, diagnose root causes, and provide actionable recommendations often before escalation is needed. Its AI agents dynamically build investigation plans, analyze evidence at scale with human-expert-like reasoning, and generate post-incident reports for continuous improvement. Ciroos’s cross-domain correlation capability enables it to identify issues that span infrastructure, networking, applications, and security domains. -
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Deductive AI
Deductive AI
Deductive AI is a cutting-edge platform that redefines how organizations handle complex system failures. By connecting your entire codebase with telemetry data, encompassing metrics, events, logs, and traces, Deductive AI empowers teams to pinpoint the root cause of issues with unprecedented precision and speed. It streamlines the process of debugging, significantly reducing downtime and improving overall system reliability. Deductive AI integrates with your codebase and observability tools, creating a unified knowledge graph powered by a code-aware reasoning engine to diagnose root causes like an expert engineer. It builds a knowledge graph with millions of nodes in seconds, uncovering deep relationships between codebase and telemetry data. It orchestrates hundreds of specialized AI agents to search, discover, and analyze breadcrumbs of root cause spread across all connected sources. -
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Sherlocks.ai
Sherlocks.ai
Sherlocks.ai is an autonomous AI SRE agent that works 24x7x365 to prevent incidents, automate root cause analysis, and accelerate recovery without adding headcount. Unlike traditional monitoring tools, Sherlocks acts as an intelligent teammate inside your Slack channels, instantly responding to alerts, correlating logs, metrics, and traces across your entire stack, and delivering context-aware RCA in seconds , not hours. Teams using Sherlocks see 3x faster incident resolution, 50% reduction in toil, and 20-30% cloud cost savings through intelligent predictive scaling. No agent installation required as it connects directly to your existing observability stack (OpenTelemetry, Prometheus, Datadog) via secure API. SOC2 Type 2 certified with self-hosted deployment available for full data control.Starting Price: $1500/month -
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Traversal
Traversal
Traversal is an ambient AI Site Reliability Engineering (SRE) agent that operates 24/7 to autonomously troubleshoot, fix, and even prevent production incidents. It parses logs, metrics, traces, and your codebase to narrow down root causes of errors or latency, surfacing the blast radius, key bottleneck services, and candidate root causes with supporting evidence within minutes. Powered by advances in causal machine learning, large language model reasoning, and AI agents, Traversal catches issues before alerts fire and resolves them automatically. Designed for critical infrastructure and complex organizations, it supports heterogeneous data, bring-your-own models, and optional on-premises deployment. Traversal connects easily to existing systems with read-only access, no agents or sidecars, and no writes to production, ensuring privacy and control over data. By integrating seamlessly into your observability stack, Traversal reduces time to resolution, minimizes downtime, and more. -
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OpsWorker
OpsWorker AI
Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlate signals from metrics, logs, traces, and deployments, and surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty and enterprise-grade security while enabling -
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Adps AI
Adps AI
Adps AI is an autonomous AI-SRE platform that transforms how companies run, troubleshoot, and secure their cloud infrastructure. Instead of relying on slow, manual, human-driven incident workflows, Adps AI continuously monitors signals across logs, metrics, traces, deployments, Kubernetes, CI/CD pipelines, and cloud services—instantly detecting anomalies, diagnosing root cause, and generating precise recovery actions in seconds. By reducing MTTR by up to 99% and delivering 99.99%+ reliability, Adps AI eliminates on-call fatigue, prevents outages, and ensures uninterrupted operations across any cloud environment. -
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Hyground
Hyground
Hyground is an AI-powered DevOps and SRE co-pilot — not a chatbot wrapper, but a full-stack operational intelligence system that runs inside the customer's Kubernetes cluster with no data egress. The agent connects to 21+ enterprise systems and investigates incidents across logs, metrics, traces, and K8s events. Engineers ask questions in plain language and get answers grounded in their own data — no new query languages to learn. AutoRCA turns an alert webhook into an autonomous root-cause investigation, then posts findings back to Slack or Teams. Investigation starts the instant an alert fires, not when an engineer wakes up. Customers report up to 85% MTTR reduction. Built on Google's Agent Development Kit, Hyground uses a multi-agent architecture and learns from your infrastructure over time. Resolved incidents extend the knowledge base, so runbooks stay current. -
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Rootly
Rootly
Rootly is an AI-native incident management platform built to help modern teams prevent and resolve incidents faster. It streamlines on-call scheduling, incident response, retrospectives, and status updates through intelligent automation and deep integrations with Slack, Teams, Jira, and Zoom. Powered by Rootly AI, the system automates root cause analysis, provides suggested fixes, and compiles incident data into clear summaries for faster recovery. Teams can manage incidents directly within their communication tools, reducing context switching and human error. With automated retrospectives and actionable insights, Rootly enables continuous improvement and reliability across engineering organizations. Trusted by global brands like Figma, Canva, Nvidia, and Webflow, it helps companies maintain uptime, minimize disruption, and create a culture of proactive resilience. -
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Resolve AI
Resolve.ai
Operates autonomously to handle common alerts and actions, reducing escalations and preventing burnout. Dynamically adjusts thresholds and dashboards to proactively prevent incidents and adjusts runbooks with every new incident. Saves up to 20 hours per on-call engineer per week so you can get back to the building. Handles all alerts, performs root cause analysis, resolves incidents, and makes on-call stress-free. Automates root cause analysis and incident response, cutting Mean Time to Resolution (MTTR) by up to 80%. With detailed incident summaries and hypotheses available, before you log in, you'll experience faster response and significantly increased uptime. Get started in minutes with production-ready AI, which is secure and knows how to use all the production tools like an experienced software engineer. It automatically maps your production system, understands code, and captures changes without any training. -
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Metoro
Metoro
Metoro is an AI SRE for Kubernetes based systems. It helps SREs, DevOps and Software Engineers handle production. Metoro autonomously monitors services and infrastructure to detect issues as they arise. Then it automatically root causes issues and fixes them by opening pull requests. It collects all telemetry required itself via eBPF - every container, service and host is instrumented at the kernel level at runtime - no code changes are needed. Users run one helm install to install Metoro into their clusters, then they're up and running. Set up is around 5 minutes.Starting Price: $20/host/month -
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Dash0
Dash0
Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.Starting Price: $0.20 per month -
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Cleric
Cleric
Cleric is an autonomous AI Site Reliability Engineer (SRE) designed to manage, optimize, and heal software infrastructure without human intervention. It operates as an AI teammate, capable of investigating and diagnosing production issues by integrating with existing tools like Kubernetes, Datadog, Prometheus, and Slack. Cleric autonomously investigates alerts, handling routine work so engineers can focus on development. It checks systems concurrently, surfacing findings in minutes instead of the hours it takes to investigate manually. Cleric reasons through problems it’s never seen before by forming hypotheses, running real queries with their tools, and only sharing findings when confident. It levels up with every investigation, learning from real outcomes to real incidents. By Day 30, Cleric can autonomously handle 20–30% of the time spent on-call, allowing your team to focus on fixes rather than repetitive alert triage. -
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AWS DevOps Agent
Amazon
AWS DevOps Agent is a software from Amazon Web Services (AWS) designed to act as an autonomous, always-on operations engineer that resolves and proactively prevents incidents across your infrastructure, applications, and deployments. It automatically learns your application resources and their relationships, including infrastructure, code repositories, deployment pipelines, observability tools, and telemetry, then uses that knowledge to correlate logs, metrics, traces, deployment data, and recent code changes. When an alert, error spike, or support ticket arises, DevOps Agent immediately begins automated investigation; it triages incidents 24/7, runs root-cause analysis, and proposes detailed mitigation plans which can be automatically routed through team workflows (e.g., via Slack, ServiceNow, PagerDuty) or directly create support cases with AWS. -
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Cisco AgenticOps
Cisco
AgenticOps is a groundbreaking paradigm redefining enterprise IT operations for the AI-driven era, leveraging AI agents to transform real-time telemetry, automation, and deep domain knowledge into intelligent, end-to-end actions, executing cross-domain workflows in networking, security, and applications directly within a unified platform. At its core is Cisco’s Deep Network Model, a large language model purpose-trained on over 40 years of Cisco expertise, spanning CCIE-level reasoning, CiscoU content, and real-world operational scenarios, further refined via reinforcement learning, chain-of-thought reasoning, and test-time scaling for precision and speed. This engine powers AI Canvas, the industry’s first generative UI for cross-domain IT operations, which aggregates live telemetry data into an intelligent workspace. Through the embedded Cisco AI Assistant, users interact via natural language to diagnose issues, explore options, drill into root causes, and execute remedial actions. -
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Kubegrade
Kubegrade
Kubegrade is a cloud-based Kubernetes management platform that simplifies and automates complex Kubernetes operations, making it easier for engineering and platform teams to upgrade, secure, monitor, troubleshoot, optimize, and scale clusters while keeping humans in control. It visualizes cluster state and dependencies, detects configuration drift and deprecated APIs, and uses AI-assisted insights to propose fixes as GitOps-ready pull requests that teams can review and approve, reducing manual toil and aligning cluster deployments with infrastructure as code. Kubegrade’s lifecycle automation covers secure upgrades, patching, cost attribution, rightsizing, centralized monitoring and logging, security enforcement, and troubleshooting with intelligent agents that predict issues and continuously analyze real-time telemetry, helping reduce downtime, mitigate risk, and improve reliability at scale.Starting Price: $300 per month -
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ops0
ops0
ops0 is the world's first AI Infrastructure Operator - making DevOps engineers 10x more productive. THREE AI AGENTS Infrastructure Agent - Discover unmanaged AWS resources and auto-generate Terraform. Turn months of migration into hours. Configuration Agent - Describe infrastructure in plain English. Get production-ready Terraform, Ansible, or Kubernetes manifests. Operations Agent - Hive monitors Kubernetes 24/7. Detect incidents, analyze logs, suggest fixes before outages happen. CAPABILITIES Infrastructure as Code, Configuration Management, Kubernetes Operations, Policy & Compliance, Workflow Automation, Resource Graph, Multi-Cloud (AWS, GCP, Azure).Starting Price: $250/month -
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Doctor Droid
Doctor Droid
Doctor Droid is an AI-driven platform designed to revolutionize monitoring and troubleshooting for engineering teams. It automates complex investigations, following standard operating procedures to analyze data across multiple integrations, identify root causes, and execute standard runbooks for self-healing. By proactively listening for alerts, Doctor Droid prepares relevant data and insights, reducing on-call time by up to 80% and enabling engineers to respond swiftly. It facilitates rapid onboarding of new engineers by automating the search for documents, learning new tools, and understanding data, allowing them to become primary on-calls from day one. With the capability to perform ad-hoc investigations, such as analyzing Kubernetes clusters or checking recent deployments, Doctor Droid adapts and creates new plans based on suggestions and existing documents. It integrates seamlessly with over 40 tools across the stack.Starting Price: $99 per month -
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Microsoft Foundry Agent Service
Microsoft
Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work. -
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Turbo360
Turbo360
Turbo360 is an Azure Cloud management platform designed to optimize costs, monitor resources, and generate technical documentation, all within a single platform. It offers features such as cost analysis, anomaly detection, and optimization insights to help users manage their Azure expenditures effectively. The platform provides unified Azure monitoring with business mapping, holistic monitoring, and automatic remediation capabilities. Additionally, Turbo360 includes an Azure Documenter that generates executive reports, architecture diagrams, and security reports. The Business Activity Monitoring feature offers business context, message flow tracking, and data monitoring to enhance operational insights. Turbo360 is trusted by global brands across various industries and is built to maximize the return on investment in Azure cloud services. -
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Azure Spring Apps
Microsoft
Azure Spring Apps is a fully managed service that helps Spring developers focus on code, not on infrastructure. Deploy any type of Spring app—including web apps, microservices, event-driven, serverless, and batch—without the need for Kubernetes. Take advantage of the Azure ecosystem while using your existing investments. Gain deep insights into application dependencies and operational telemetry using Azure monitor. Aggregate metrics for a topological view of how different services interact and see average performance and error rates. Easily identify the root cause of reliability issues and performance bottlenecks. Focus on what matters—your apps, business logic, and delivering value to your users. Deploy any type of Spring or Polyglot apps, either from source code or artifacts, with support for container creation and maintenance.Starting Price: $0.7136 per hour -
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Azure Automanage
Microsoft
Azure Automanage offers a unified solution to simplify IT management. With point-and-click simplicity, automate operations and apply consistent best practices across the entire lifecycle of Windows Server and Linux servers in Azure or in hybrid environments enabled by Azure Arc. Automated best-practice configuration of virtual machines in Azure or hybrid environments through Azure Arc. Proactive drift detection and remediation for improved workload uptime. Automatically applied security baselines for continuous management and security. Improve workload uptime by proactively detecting and automatically remediating drift if machines diverge from the desired configuration state. -
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Agent S
Simular
Agent S is an open-source agentic framework built to enable autonomous computer use through an Agent-Computer Interface (ACI). It allows AI agents to operate graphical user interfaces similarly to humans by perceiving screens, reasoning through objectives, and executing actions across macOS, Windows, and Linux systems. The latest release, Agent S3, achieves state-of-the-art results on the OSWorld benchmark and surpasses human-level performance in complex multi-step computer tasks. By combining powerful foundation models such as GPT-5 with grounding models like UI-TARS, the framework translates visual inputs into accurate executable commands. Agent S supports multiple deployment options, including CLI, SDK, and cloud environments. It integrates seamlessly with leading model providers such as OpenAI, Anthropic, Gemini, Azure, and Hugging Face endpoints. -
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PenguinBot
PenguinBot
PenguinBot AI is an action-first AI assistant designed to turn simple instructions into completed work by autonomously managing everyday productivity tasks. It enables users to deploy AI agents that can handle emails, schedule tasks, create documents, and run workflows automatically in the background, reducing the need for constant prompting or manual coordination. It focuses on execution rather than conversation, allowing the agent to plan multi-step actions and keep processes moving continuously. PenguinBot can operate 24/7 as a persistent digital worker, helping teams automate routine operations and maintain momentum across connected tools. It emphasizes fast onboarding and secure deployment, including the ability to launch AI agents to Azure with one click and create multi-channel assistants. Overall, PenguinBot AI is built to function as an autonomous AI employee that transforms natural language requests into real, completed outcomes.Starting Price: $20 per month -
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incident.io
incident.io
Simple. Powerful. Effortless incident management. With a beautifully simple interface, powerful workflow automation, and integrations with all your existing tools, prepare for incident management like never before. We make adoption easy by meeting your teams where they already work in Slack, and integrating seamlessly with all the tools you already know and love, including Jira, Statuspage, and PagerDuty. We guide your teams through the most stressful times. Now anyone can run incidents with confidence so you can scale your organization without slowing down. Create consistency instantly with our easy to build workflows. Automate tedious processes from sending update emails to execs to compiling post-mortems, so you can focus on fixing and building world-class products. Avoid duplication and reduce unnecessary distractions by running more transparent incidents. You can assign roles and actions, provide incident updates, and find an overview of all live incidents.Starting Price: $16 per responder per month -
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Skyfall.ai
Skyfall.ai
Skyfall is an AI-driven platform that automates IT operations by deploying thousands of specialized agents to handle tasks traditionally managed by human teams. These agents, including IT Asset Management (ITAM), IT Operations Management (ITOM), and IT Service Management (ITSM) agents, perform complex IT functions with precision and speed. Skyfall's system offers automated software license optimization by integrating with software providers, analyzing usage data, identifying underutilized licenses, and creating optimization plans. It also provides automated server storage optimization through disk space alerts, data analysis, cleanup planning, script execution, and post-cleanup monitoring. Additionally, Skyfall proactively identifies and resolves recurring issues by detecting problems, aggregating incident data, creating problem records, identifying root causes, and executing fixes. -
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Cloud IQ
Cloudnosys
CloudIQ is an AI-powered virtual security assistant that integrates across AWS, GCP, and Azure environments to provide continuous cloud security posture management. It delivers automated scanning of cloud configurations, exposures, and compliance gaps; prioritizes actionable insights with contextual risk scoring; visualizes threat paths and over-privileged access across regions and accounts; supports natural-language queries for real-time investigation; and enables remediation workflows through its interactive interface. Designed to act as a 24/7 virtual security expert, CloudIQ connects to cloud accounts, ingests telemetry, surfaces high-impact vulnerabilities, and assists teams in resolving issues faster. It’s built to support CISOs, DevOps, and cloud-security teams with automated prioritization, conversational access to insights, and visual dashboards that reduce alert fatigue and enable measurable improvement of cloud security posture. -
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Microsoft Discovery
Microsoft
Microsoft Discovery is a new agentic platform designed to revolutionize research and development (R&D) by empowering scientists and engineers with AI-driven collaboration and high-performance computing (HPC). Built on Azure, this platform enables researchers to work alongside specialized AI agents that help accelerate the discovery process through advanced knowledge reasoning, hypothesis formulation, and experimental simulations. The platform's graph-based knowledge engine facilitates complex, contextual reasoning over vast amounts of scientific data, promoting transparency and accountability while speeding up the discovery cycle. By automating and enhancing research tasks, Microsoft Discovery offers an extensible, enterprise-ready solution that integrates seamlessly with existing tools and datasets. -
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VoltusWave
VoltusWave
VoltusWave is an enterprise AI agent workforce platform designed to move beyond isolated automation tools by combining intelligent agents with a full execution layer where they can operate end-to-end business processes. It provides a unified system where AI agents can read documents, make decisions, execute workflows, and escalate exceptions, all with full auditability and human override built in. It is powered by six interconnected engines, including process orchestration, rules enforcement, document generation, integration infrastructure, no-code application building, and a governed AI agent workforce, enabling organizations to run complex operations such as procure-to-pay or enterprise-to-cash cycles with minimal manual intervention. AI agents operate across these layers to handle documents, approvals, reconciliations, compliance checks, and customer interactions, while a rules engine ensures that every action follows predefined logic with version control and traceability. -
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Microsoft Copilot in Azure
Microsoft
Microsoft Copilot in Azure is an AI-powered assistant that helps users simplify operations, optimize resources, and streamline cloud management across Azure environments. Integrated deeply within the Azure ecosystem, it assists in designing, operating, and troubleshooting workloads through natural language interaction. Copilot automatically recommends service configurations, cost optimizations, and security improvements based on your organization’s policies and environment. It enables users to orchestrate data across Azure services, summarize issues, and suggest actionable solutions in real time. Backed by Microsoft’s enterprise-grade infrastructure, it ensures compliance with over 100 certifications and unmatched security supported by 34,000 security engineers. Copilot in Azure empowers teams to manage their entire cloud lifecycle—from design to optimization—more efficiently and intelligently. -
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Amnic
Amnic
Amnic is a FinOps tool powered by context-aware AI agents that helps organizations gain clarity and control over their cloud spending. It automates cloud cost management by deploying role-specific agents that analyze usage, detect anomalies, and generate insights tailored to different stakeholders. Through its cloud cost observability capabilities, Amnic enables teams to visualize, analyze, and optimize infrastructure expenses, turning complex cloud bills into actionable intelligence. It provides fast cloud financial health checks, natural-language insights, and automated reporting that reduce the manual effort typically required for FinOps workflows. Built-in governance tools monitor budget drift, enforce tagging hygiene, and assign ownership, helping organizations maintain accountability across engineering and finance teams. -
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ServiceNow IT Operations Management
ServiceNow
Predict issues, reduce user impact, and automate resolutions with AIOps. Move away from reactive IT operations with insights and automation. Identify anomalies and solve issues before they occur with cross-team automation workflows. Deliver proactive digital operations with AIOps. Stop chasing false positives and identify anomalies with less guesswork. Collect and analyze telemetry data for enhanced visibility and reduced noise. Find the root cause of incidents and share actionable insights across teams. Reduce outages by taking action based on guided recommendations. Shorten recovery times by rapidly implementing solutions based on insights. Simplify repetitive tasks with pre-built playbooks and knowledge base resources. Create a performance-driven culture across teams. Give DevOps and Site Reliability Engineers (SREs) visibility into microservices to improve observability and speed up incident response. Go beyond IT operations to manage the entire digital lifecycle. -
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Coval
Coval
Coval is a simulation and evaluation platform designed to accelerate the development of reliable AI agents across chat, voice, and other modalities. By automating the testing process, Coval enables engineers to simulate thousands of scenarios from a few test cases, allowing for comprehensive assessments without manual intervention. Users can create test sets by adding customer transcripts or describing user intents in natural language, with Coval handling the formatting. The platform supports both text and voice simulations, facilitating the testing of AI agents against a set of scorecard metrics. Comprehensive evaluations of agent interactions are provided, enabling performance tracking over time and root cause analysis of specific runs. Coval also offers workflow metrics that provide observability into system processes, aiding in the optimization of AI agents.Starting Price: $300 per month -
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PlayerZero
PlayerZero
PlayerZero is an AI-driven predictive quality platform designed to help engineering, QA, and support teams monitor, diagnose, and resolve software issues before they impact customers by deeply understanding complex codebases and simulating how code will behave in real-world conditions. It applies proprietary AI models and semantic graph analysis to integrate signals from source code, runtime telemetry, customer tickets, documentation, and historical data, giving users unified, context-rich insights into what their software does, why it’s broken, and how to fix or improve it. Its agentic debugging agents can autonomously triage, root cause analyze, and even suggest fixes for issues, reducing escalations and accelerating resolution times while preserving audit trails, governance, and approval workflows. PlayerZero also includes CodeSim, an agentic code simulation capability powered by the Sim-1 model that predicts the impact of changes. -
39
Refold
Refold AI
Refold.ai offers enterprise-grade AI integration agents designed to automate complex workflows and manage legacy systems like SAP, Oracle Fusion, and Workday Finance. Their AI agents handle custom logic, unpredictable APIs, and integration challenges so teams can focus on product development instead of manual system work. The platform features memory graphs, real-time adaptation, and auto-fixing workflows that enable effortless scaling and robust integration lifecycle automation. Refold supports cloud and on-premise deployment across AWS, GCP, Azure, and air-gapped environments. Trusted by leading companies, Refold reduces integration bottlenecks, accelerating enterprise sales and cutting total cost of ownership by over 50%. It’s built for solution engineering, professional services, product teams, and AI teams needing seamless, scalable integrations. -
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Azure AI Metrics Advisor
Microsoft
Embed AI-powered monitoring features to stay one step ahead of incidents, no machine learning expertise is required. Monitor the performance of your organization's growth engines, including sales revenue and manufacturing operations, with Azure AI Metrics Advisor, built on AI Anomaly Detector, and a part of Azure AI Services. Quickly identify and fix problems through a powerful combination of monitoring in near-real time, adapting models to your scenario, and offering granular analysis with diagnostics and alerting. End-to-end management of data monitoring is easily done through the AI Metrics Advisor interface, which plugs into popular time-series databases and provides stream monitoring support. All dimension combinations are analyzed to pinpoint affected areas for root-cause analysis and diagnoses and send alerts. A guided autotuning experience helps you customize the service to your unique needs.Starting Price: $0.75 per 1,000 time series -
41
Mezmo
Mezmo
Mezmo (formerly LogDNA) enables organizations to instantly centralize, monitor, and analyze logs in real-time from any platform, at any volume. We seamlessly combine log aggregation, custom parsing, smart alerting, role based access controls, and real-time search, graphs, and log analysis in one suite of tools. Our cloud based SaaS solution sets up within two minutes to collect logs from AWS, Docker, Heroku, Elastic and more. Running Kubernetes? Start logging in two kubectl commands. Simple, pay-per-GB pricing without paywalls, overage charges, or fixed data buckets. Simply pay for the data you use on a month-to-month basis. We are SOC2, GDPR, PCI, and HIPAA compliant and are Privacy Shield certified. Our military grade encryption ensures your logs are secure in transit and storage. We empower developers with user-friendly, modernized features and natural search queries. With no special training required, we save you even more time and money. -
42
Neo Agent
Neo Agent
Neo Agent is an AI technician for managed service providers, built to work alongside the team inside the PSA. It reads the ticket, checks similar tickets, playbooks, and documentation, makes the call, runs the fix, and closes the loop. Neo is designed as a new kind of automation for MSPs: not a bigger rulebook, not fragile scripts, and not legacy RPA that requires constant mapping maintenance. Instead, it acts like a human L1 technician that joins the service desk, helping speed up ticket resolution, automate PSA and RMM workflows, and keep communications on-brand and consistent. Neo can analyze tickets, communicate with users, take action on behalf of the team, and execute workflows that are triggered or scheduled for repetitive tasks such as ticket triage, dispatching, and routine manual work. It integrates with PSA systems, RMM tools, documentation systems, marketplaces, Microsoft 365, and Azure to automate ticket management, synchronize client data, and more.Starting Price: $1,300 per month -
43
Serverless360
Kovai
A portal focused on Operations and Support for Microsoft Azure Serverless resources. Complementary tool to Azure portal in supporting Azure Serverless Application. Manual and Automated message processing, way beyond Service Bus Explorer. Detect failure, autocorrect state, correlate run resubmission, Azure portals gaps addressed. Detect anomalies, autocorrect state, achieve what are not possible through Application insights. View and process dead-letters in Event Grid subscriptions along with extensive monitoring. Simulate test environment, monitor partitions, check for active clients and much more. Auto clean blobs. Monitor storage account components on their state and properties. Monitor Products, Endpoints and Operations at multiple perspectives. Auto manage APIM state. Manage and monitor Azure Relays including Hybrid relays along with analytics. Detect HTTP errors, CPU time, Garbage collection and health of the Azure Web Apps. -
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100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
45
Calljmp
Calljmp
Calljmp is a developer-first AI agent runtime designed to build, run, and scale long-running stateful workflows written in TypeScript. While many modern tools like Mastra AI provide rich frameworks to define agents and workflows, Calljmp focuses on actually running them reliably in production. Calljmp combines agent logic, durable execution, human-in-the-loop pause/resume, retries with idempotency, and built-in observability into a unified execution environment. Developers implement agents as code, and the runtime guarantees reliable execution, state persistence, and operational visibility without gluing together custom queues, databases, and monitoring stacks. Calljmp is ideal for engineering teams, product developers, and backend architects who want to embed intelligent agents into product systems while offloading execution complexity to a purpose-built runtime.Starting Price: Free -
46
Masonry
Masonry
Masonry is an AI-powered collaboration platform that turns words into workflows by orchestrating multiple AI agents to automate and manage diverse business tasks. Through a web-based interface, users dispatch natural-language prompts to specialized agents that organize sales pipelines, schedule meetings, analyze data, process documents, generate and enhance images, and handle invoicing, then track progress in real time. Masonry integrates with Gmail, Google Calendar, Google Sheets, Slack, Stripe, and hundreds of other tools to ingest files, sync data, and execute actions without manual handoffs. Teams can also build custom agents tailored to unique workflows, assign and prioritize tasks, and review comprehensive analytics and status updates on a unified dashboard. By combining AI-driven task decomposition, automated execution, and seamless integrations, Masonry streamlines operations, eliminates repetitive work, and lets users focus on strategic priorities.Starting Price: $20 per month -
47
Rover
Rover
Rover is a DOM-native embedded AI web agent from rtrvr.ai designed to understand, navigate, and act directly within live websites through natural-language instructions. It can click buttons, fill forms, extract data, and execute multi-step browser workflows automatically, enabling conversational automation instead of manual scripting. Unlike traditional web scrapers or read-only chatbots, Rover operates directly on the page structure, allowing it to interact with interfaces in a more human-like and precise way. The broader RTRVR platform also supports automated data retrieval, continuous monitoring of web changes, and agentic form filling through simple prompts, enabling teams to automate complex browser work without custom code. Because the agent works directly within the browser environment, it can perform real workflows across tabs and logged-in sessions, reducing manual effort and improving operational speed.Starting Price: $9.99 per month -
48
Azure Time Series Insights
Microsoft
Azure Time Series Insights Gen2 is an open and scalable end-to-end IoT analytics service featuring best-in-class user experiences and rich APIs to integrate its powerful capabilities into your existing workflow or application. You can use it to collect, process, store, query and visualize data at Internet of Things (IoT) scale--data that's highly contextualized and optimized for time series. Azure Time Series Insights Gen2 is designed for ad hoc data exploration and operational analysis allowing you to uncover hidden trends, spotting anomalies, and conduct root-cause analysis. It's an open and flexible offering that meets the broad needs of industrial IoT deployments.Starting Price: $36.208 per unit per month -
49
LibreChat
LibreChat
LibreChat is a powerful open-source application that unifies all your AI conversations into a single, customizable interface. It is designed to work seamlessly with any AI provider, including OpenAI, Anthropic, AWS, and Azure, giving users full flexibility and control. LibreChat supports advanced agents capable of file handling, code interpretation, and API-driven actions. The platform includes a built-in code interpreter that can securely execute multiple programming languages with zero setup. Users can create and manage artifacts like React components, HTML, and Mermaid diagrams directly within chat. Multimodal capabilities allow users to analyze images and interact with files in conversations. Trusted by organizations worldwide, LibreChat delivers a sleek, extensible experience for modern AI workflows.Starting Price: Free -
50
TestMax
Mammoth AI
TestMax is an AI-driven test automation platform that eliminates the manual work between a written requirement and an executed test. Engineering teams connect their Jira or Azure DevOps projects, and TestMax handles the entire lifecycle autonomously: evaluating requirements for quality, generating structured test cases, producing executable automation scripts, running them via AI agents, and returning full traceability.