Best AIOps Tools and Platforms - Page 17

Pretty Good AI

Pretty Good AI is the AI operations platform built only for athenaOne practices, covering everything from referral and intake to billing. We answer patient calls and texts around the clock, handle scheduling, rescheduling and refills, turn faxed and web referrals into completed first visits, automate the inbox work that piles up for staff, and keep revenue moving with insurance checks, prior auth tracking and balance outreach. The app runs inside athenaOne with no extra login and writes every action back to the chart, using production access to 820+ athenaOne APIs. We fit each workflow to your practice's protocols and scheduling rules, not the other way around, and change it when your needs change. All specialties are supported. There are no setup fees, the first 30 days live are free, and it's month-to-month after that. HITRUST i1 certified, SOC 2 Type II audited, ISO 27001 certified, and HIPAA-compliant with a BAA.

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Prisma

Prisma delivers a new generation of specialised web applications, designed for speed and user-friendliness.

ProductNow

ProductNow continually captures and reconciles what's happening across your systems, people, and agents into one shared source of truth - your team's company brain. Then runs agents that reason over it and take governed actions, writing results back into your systems of record, so everyone can understand, decide, and act.

Pulseping

PulsePing is a website uptime monitoring and alerting platform for businesses, developers, website owners, and digital agencies. It automatically checks websites and endpoints every minute, tracks availability and response times, and provides real-time reports to help users identify service interruptions. When downtime is detected, PulsePing sends email and SMS alerts so users can respond before the issue affects more customers. Flexible plans support businesses monitoring a single website as well as agencies responsible for hundreds of client websites. PulsePing is designed to deliver straightforward, affordable monitoring without the complexity of an enterprise observability platform.

PVQA

Non-intrusive perceptual voice-quality analyser — predicts MOS from call audio, detects echo, clipping, noise, dead air.

Quady3D AI

Quady3D AI is a browser-based platform for creating and evaluating AI-generated 3D models. Users can start with a reference image, written prompt, hand-drawn sketch, or several views of the same object. The platform brings multiple AI 3D model families into one workspace, shows model-specific geometry and texture settings and credit costs before generation, and lets users rotate and inspect completed results before downloading available files. Quady3D AI supports game assets, characters and figurines, product visualization, Blender workflows, and preparation for 3D printing. Generation costs, settings, and downloadable formats vary by model and workflow.

Reamer Research

Reamer Research is a comprehensive research engine designed for institutional mid-frequency trading strategies. It facilitates the entire lifecycle of strategy development, from initial testing against extensive historical market data to live deployment, all within a consistent and stable C Application Binary Interface (ABI). This uniform interface ensures that strategies maintain consistency and reliability across various stages of development and execution. The engine operates through a structured five-step process: 1. Test: Strategies are evaluated against years of Open-High-Low-Close-Volume (OHLCV) data, ranging from intraday to multi-day intervals. This backtesting phase incorporates realistic execution costs, providing a thorough assessment of strategy performance under historical market conditions. 2. Diagnose: Detailed trade-by-trade analysis is conducted, offering insights into every fill, order, closed round trip, and per-trade return. This granular examination allows users to pinpoint the exact origins of results, moving beyond mere summary statistics. 3. Sweep: The robustness of strategies is tested by varying parameters and inputs across multiple runs. This process helps distinguish genuinely robust strategies from those that may have performed well due to specific, potentially non-replicable configurations. 4. Report: Upon completion of each run, Reamer Research generates a comprehensive, schema-versioned JSON document. This report includes summary metrics, drawdown analyses, streaks, and complete trade and order logs, facilitating seamless integration with users' existing tools and workflows. 5. **Connect**: The same strategy interface used during research seamlessly transitions to live execution through a relay. This continuity ensures that the code developed and tested during the research phase is identical to the code deployed in live trading, eliminating the need for rewrites and reducing the risk of discrepancies. A standout feature of Reamer Research is its deterministic output. By utilizing a fixed random number generator seed, the engine produces byte-identical results across repeated runs, including stochastic elements like slippage and spread paths. This determinism ensures that results are reproducible and reliable, a critical aspect for rigorous quantitative research. In terms of performance, Reamer Research is optimized for high throughput. It processes approximately 466,736 OHLCV bars per second, equating to about 2.16 microseconds of work per bar on an AMD EPYC 9575F processor. This efficiency allows for rapid completion of comprehensive strategy sweeps, enabling researchers to iterate and refine strategies promptly. Integration with Reamer Research is streamlined through a stable C ABI. Users can interact with the engine via a single function call, `reamer_research_run_backtest()`, which accepts bars and a strategy, returning a fully-resolved result set. The ABI's stability ensures backward compatibility; binaries compiled against older versions continue to function with newer library versions without requiring recompilation. Reamer Research is available for $1,800 per seat per year. A 30 day trial license is available at $225 per seat, allowing potential users to assess the engine's capabilities and compatibility with their existing systems before committing to a full license.

Reevera

Reevera is an all-in-one monitoring platform built for SaaS teams, agencies, developers, and online businesses.

Relia

Relia watches your whole product (users, APIs, database and servers) and tells you in plain words what is wrong, who it affects and how to fix it. It is built for founders and small teams who don't have a DevOps engineer. See your users: visitors, funnels (and why people drop off), identified customers, sessions, web vitals and suggestions for what to change in the UI. Fix problems faster: Relia groups errors, slow requests, failing database queries and server trouble into one incident with the cause chain, the evidence and a step-by-step fix plan. Ask Relia questions about your live data, or use it from Claude Code, Cursor or VS Code. Stay ahead: uptime monitors and automatic checks, error budgets for your key APIs, alerts by e-mail, Slack, ClickUp, Jira and PagerDuty, on-call, a public status page and one-click postmortems. Set up with one command (npx relia-sdk init) for Node.js, Next.js, React and Python apps. Free plan available; paid plans from $19 a month per project, with a 14-day trial.

Reliafy

Remote Monitoring and Management (RMM)

Axionac Remote Monitoring and Management (RMM) is an IT management solution designed to help managed service providers (MSPs) and IT teams monitor, maintain, secure, and manage endpoints remotely from a centralised platform. Axionac RMM provides real-time device monitoring, hardware and software inventory, performance alerts, remote desktop access, patch management, IT automation, scripting, and endpoint management. IT administrators can monitor CPU, memory, disk, network, and system health, identify potential issues, troubleshoot devices remotely, and automate routine maintenance tasks. The platform also supports multi-tenant management, enabling MSPs to manage multiple client environments from a single console. Additional capabilities include backup and recovery, endpoint security monitoring, service desk ticketing, reporting, and configurable access controls. Axionac RMM helps organisations streamline IT operations, reduce manual workloads, improve endpoint visibility, and maintain reliable IT infrastructure across distributed devices and client environments.

Resiliency Operations Centre

A Resiliency Operation Centre is a unified operating model that brings operations, security, and compliance onto a ​ single platform with one data lake, one correlation engine, one console, and one team focused on a single objective.​

RetroScale

Most retro tools are just a fancier sticky-note board — you write cards, vote, and then... nothing. The insights from three sprints ago are gone, buried in some archived board nobody reopens. That's the actual problem we set out to fix. RetroScale runs a normal retro (Write → Vote → Discuss → Done, with a built-in timer so discussions don't spiral), but the part that's different happens after: it compares your current sprint against your history and tells you what's actually recurring — the same blocker showing up for the third time, velocity quietly dropping, the same two people always flagging the same issue. Competitors like TeamRetro and EasyRetro do "basic" AI summaries of a single retro. We built ours to look across sprints, not just within one. A few things teams tend to notice after a few weeks: Sprint Comparison — put any two sprints side by side and see what changed, not just what was said Analytics dashboard — health scores, participation rates, action-item completion, trend charts — the stuff you'd otherwise track in a spreadsheet nobody updates Action items that don't die in the doc — assigned owners, priorities, and they carry forward until someone actually closes them Full workspace isolation per team, one-time invite links, and role-based access, so this isn't a shared Miro board with permission headaches Setup is under a minute (GitHub or Google login, no card), it's in 8 languages, and 50+ teams are already running retros on it. If your team's retros feel like a formality that produces a doc nobody reads, this was built for exactly that.

Riverbed AIOps

Riverbed AIOps is an advanced Artificial Intelligence for IT Operations (AIOps) solution designed to streamline and enhance IT operations by leveraging AI, machine learning, and automation. It provides comprehensive observability across networks, applications, infrastructure, and user experiences, enabling organizations to proactively detect, diagnose, and resolve IT issues efficiently. Key Features and Functionality: - Full-Fidelity Telemetry: Captures real-time, high-quality data across the entire IT landscape, including networks, applications, and endpoints, ensuring precise insights. - AI-Driven Analysis: Utilizes causal, predictive, and generative AI to correlate data, identify anomalies, forecast potential issues, and provide actionable recommendations. - Automation Workflows: Offers no-code/low-code automation tools that replicate expert troubleshooting processes, streamline third-party data integration, and accelerate incident response. - Unified Data Store: Integrates observability data from various sources into a centralized repository, eliminating data silos and providing a holistic view of IT operations. - Intelligent Dashboards: Features dynamic, role-based dashboards that unify insights from multiple domains, facilitating contextual visibility and faster decision-making. Primary Value and Problem Solved: Riverbed AIOps addresses the challenges of managing complex, hybrid IT environments by providing a unified platform that enhances visibility, reduces alert fatigue, and accelerates problem resolution. By automating routine tasks and offering predictive insights, it empowers IT teams to shift from reactive to proactive operations, improving overall efficiency and ensuring optimal digital experiences for users.

Riverbed IQ

Riverbed IQ is a cloud-native, SaaS-delivered Unified Observability service that leverages artificial intelligence (AI), machine learning (ML), and big data analytics to enhance IT operations. By analyzing full-fidelity telemetry data across networks, infrastructure, applications, and end-user experiences, Riverbed IQ enables organizations to predict, detect, and resolve IT issues more efficiently. This comprehensive approach helps in automating IT operations, codifying expert knowledge, and continuously improving digital experiences for both customers and employees. Key Features and Functionality: - Full-Fidelity Telemetry Support: Collects and analyzes real-time data across all IT domains, including networks, infrastructure, applications, and end-user devices, providing a unified observability platform. - AI-Driven Problem Detection: Utilizes AI and ML to establish anomaly baselines, detect unusual behaviors, and automate the identification of IT issues, facilitating proactive problem management. - Automated Investigative Workflows: Offers customizable no-code/low-code automation workflows that replicate expert troubleshooting practices, enabling efficient incident investigation and resolution. - Actionable Insights with Generative AI: Employs Generative AI to deliver clear, natural language summaries of analytical insights, pinpointing root causes and recommending remediation steps in a conversational manner. - Integration with Third-Party Tools: Seamlessly integrates with various IT service management platforms, such as ServiceNow, to enhance incident management and streamline operations. Primary Value and User Solutions: Riverbed IQ addresses the complexities of modern, distributed IT environments by providing a unified observability solution that breaks down data silos and reduces alert fatigue. By automating the correlation of vast amounts of telemetry data and applying advanced analytics, it empowers IT teams to: - Reduce Mean Time to Resolution (MTTR): Accelerates problem detection and resolution through actionable insights and intelligent automation, leading to improved digital service quality. - Enhance First-Level Resolution Rates: Enables less experienced IT staff to perform tasks typically handled by senior personnel, reducing escalations and allowing senior staff to focus on strategic initiatives. - Improve Operational Efficiency: Minimizes manual efforts and optimizes workflows by automating routine tasks and providing contextual insights, leading to more efficient IT operations. - Support Hybrid Work Environments: Delivers comprehensive visibility and management capabilities for remote and hybrid work settings, ensuring seamless digital experiences for employees and customers alike. By integrating advanced AI capabilities with full-stack observability, Riverbed IQ empowers organizations to proactively manage their IT operations, enhance performance, and deliver superior digital experiences.