Alternatives to Arize AI
Compare Arize AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Arize AI in 2025. Compare features, ratings, user reviews, pricing, and more from Arize AI 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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Cloudflare
Cloudflare
Cloudflare is the foundation for your infrastructure, applications, and teams. Cloudflare secures and ensures the reliability of your external-facing resources such as websites, APIs, and applications. It protects your internal resources such as behind-the-firewall applications, teams, and devices. And it is your platform for developing globally scalable applications. Your website, APIs, and applications are your key channels for doing business with your customers and suppliers. As more and more shift online, ensuring these resources are secure, performant and reliable is a business imperative. Cloudflare for Infrastructure is a complete solution to enable this for anything connected to the Internet. Behind-the-firewall applications and devices are foundational to the work of your internal teams. The recent surge in remote work is testing the limits of many organizations’ VPN and other hardware solutions. -
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Sematext Cloud
Sematext Group
Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.Starting Price: $0 -
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Epsagon
Epsagon
Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Increase development velocity and reduce application downtime with Epsagon.Starting Price: $89 per month -
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Splunk Enterprise
Cisco
Splunk Enterprise is a powerful platform that turns data into actionable insights across security, IT, and business operations. It enables organizations to search, analyze, and visualize data from virtually any source, providing a unified view across edge, cloud, and hybrid environments. With real-time monitoring, alerts, and dashboards, teams can detect issues quickly and act decisively. Splunk AI and machine learning features predict problems before they happen, improving resilience and decision-making. The platform scales to handle terabytes of data and integrates with thousands of apps, making it a flexible solution for enterprises of all sizes. Trusted by leading organizations worldwide, Splunk helps teams move from visibility to action. -
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Dynatrace
Dynatrace
The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.Starting Price: $11 per month -
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Splunk AppDynamics
Cisco
Splunk AppDynamics delivers full-stack observability for hybrid and on-prem environments, linking technical performance directly to business outcomes. It enables teams to detect anomalies, diagnose root causes, and prioritize issues based on their real business impact. With capabilities ranging from network performance correlation to SAP system optimization, the platform offers deep insights across applications, APIs, and infrastructure. Its runtime security features safeguard applications by detecting vulnerabilities, blocking attacks, and highlighting potential risks. AppDynamics also enhances digital experiences with web, mobile, and synthetic monitoring to understand user journeys. By unifying performance, security, and business analytics, Splunk AppDynamics helps enterprises reduce costs, prevent outages, and deliver seamless customer experiences.Starting Price: $6 per month -
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IBM Instana
IBM
IBM Instana is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana Dynamic APM operates using the Instana agent architecture, which incorporates sensors—lightweight, automated programs tailored to monitor specific entities.Starting Price: $75 per month -
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Langfuse
Langfuse
Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export dataStarting Price: $29/month -
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Evidently AI
Evidently AI
The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.Starting Price: $500 per month -
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UpTrain
UpTrain
Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison and optimal prompt selection. Hallucinations have plagued LLMs since their inception. By quantifying degree of hallucination and quality of retrieved context, UpTrain helps to detect responses with low factual accuracy and prevent them before serving to the end-users. -
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InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
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Gantry
Gantry
Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback. Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases. The best models are built on user data. Programmatically gather unusual or underperforming examples to retrain your model. Stop manually reviewing thousands of outputs when changing your prompt or model. Evaluate your LLM-powered apps programmatically. Detect and fix degradations quickly. Monitor new deployments in real-time and seamlessly edit the version of your app your users interact with. Connect your self-hosted or third-party model and your existing data sources. Process enterprise-scale data with our serverless streaming dataflow engine. Gantry is SOC-2 compliant and built with enterprise-grade authentication. -
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WhyLabs
WhyLabs
Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks. -
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Censius is an innovative startup in the machine learning and AI space. We bring AI observability to enterprise ML teams. Ensuring that ML models' performance is in check is imperative with the extensive use of machine learning models. Censius is an AI Observability Platform that helps organizations of all scales confidently make their machine-learning models work in production. The company launched its flagship AI observability platform that helps bring accountability and explainability to data science projects. A comprehensive ML monitoring solution helps proactively monitor entire ML pipelines to detect and fix ML issues such as drift, skew, data integrity, and data quality issues. Upon integrating Censius, you can: 1. Monitor and log the necessary model vitals 2. Reduce time-to-recover by detecting issues precisely 3. Explain issues and recovery strategies to stakeholders 4. Explain model decisions 5. Reduce downtime for end-users 6. Build customer trust
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Mona
Mona
Gain complete visibility into the performance of your data, models, and processes with the most flexible monitoring solution. Automatically surface and resolve performance issues within your AI/ML or intelligent automation processes to avoid negative impacts on both your business and customers. Learning how your data, models, and processes perform in the real world is critical to continuously improving your processes. Monitoring is the ‘eyes and ears' needed to observe your data and workflows to tell you if they’re performing well. Mona exhaustively analyzes your data to provide actionable insights based on advanced anomaly detection mechanisms, to alert you before your business KPIs are hurt. Take stock of any part of your production workflows and business processes, including models, pipelines, and business outcomes. Whatever datatype you work with, whether you have a batch or streaming real-time processes, and for the specific way in which you want to measure your performance. -
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Aquarium
Aquarium
Aquarium's embedding technology surfaces the biggest problems in your model performance and finds the right data to solve them. Unlock the power of neural network embeddings without worrying about maintaining infrastructure or debugging embedding models. Automatically find the most critical patterns of model failures in your dataset. Understand the long tail of edge cases and triage which issues to solve first. Trawl through massive unlabeled datasets to find edge-case scenarios. Bootstrap new classes with a handful of examples using few-shot learning technology. The more data you have, the more value we offer. Aquarium reliably scales to datasets containing hundreds of millions of data points. Aquarium offers solutions engineering resources, customer success syncs, and user training to help customers get value. We also offer an anonymous mode for organizations who want to use Aquarium without exposing any sensitive data.Starting Price: $1,250 per month -
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Langtrace
Langtrace
Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.Starting Price: Free -
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Fiddler AI
Fiddler AI
Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue. -
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Apica
Apica
Apica is the observability cost optimization leader helping IT teams gain complete control over their telemetry data economics. Apica Ascent processes all observability data types including metrics, logs, traces, and events while optimizing observability costs by 40% compared to traditional approaches. Unlike solutions that lock users into proprietary formats, Ascent offers true flexibility with support for any data lake of choice, on-premises or cloud deployment options, and elimination of expensive tool sprawl through modular solutions. Built to handle high-cardinality data that overwhelms competitive solutions, Ascent includes the patented InstaStore™ optimized storage technology for maximum efficiency and advanced root cause analysis capabilities. Organizations choose us to make observability investments that reduce costs instead of spiraling them out of control. -
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Robust Intelligence
Robust Intelligence
The Robust Intelligence Platform integrates seamlessly into your ML lifecycle to eliminate model failures. The platform detects your model’s vulnerabilities, prevents aberrant data from entering your AI system, and detects statistical data issues like drift. At the core of our test-based approach is a single test. Each test measures your model’s robustness to a specific type of production model failure. Stress Testing runs hundreds of these tests to measure model production readiness. The results of these tests are used to auto-configure a custom AI Firewall that protects the model against the specific forms of failure to which a given model is susceptible. Finally, Continuous Testing runs these tests during production, providing automated root cause analysis informed by the underlying cause of any single test failure. Using all three elements of the Robust Intelligence platform together helps ensure ML Integrity. -
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Logfire
Pydantic
Pydantic Logfire is an observability platform designed to simplify monitoring for Python applications by transforming logs into actionable insights. It provides performance insights, tracing, and visibility into application behavior, including request headers, body, and the full trace of execution. Pydantic Logfire integrates with popular libraries and is built on top of OpenTelemetry, making it easier to use while retaining the flexibility of OpenTelemetry's features. Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.Starting Price: $2 per month -
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Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.
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Arthur AI
Arthur
Track model performance to detect and react to data drift, improving model accuracy for better business outcomes. Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs. Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models. See how each model treats different population groups, proactively identify bias, and use Arthur's proprietary bias mitigation techniques. Arthur scales up and down to ingest up to 1MM transactions per second and deliver insights quickly. Actions can only be performed by authorized users. Individual teams/departments can have isolated environments with specific access control policies. Data is immutable once ingested, which prevents manipulation of metrics/insights. -
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Galileo
Galileo
Models can be opaque in understanding what data they didn’t perform well on and why. Galileo provides a host of tools for ML teams to inspect and find ML data errors 10x faster. Galileo sifts through your unlabeled data to automatically identify error patterns and data gaps in your model. We get it - ML experimentation is messy. It needs a lot of data and model changes across many runs. Track and compare your runs in one place and quickly share reports with your team. Galileo has been built to integrate with your ML ecosystem. Send a fixed dataset to your data store to retrain, send mislabeled data to your labelers, share a collaborative report, and a lot more! Galileo is purpose-built for ML teams to build better quality models, faster. -
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Rakuten SixthSense
Rakuten SixthSense
Reimagined observability for context and performance in one place, across all stacks and any scale. Gain comprehensive end-to-end visibility by monitoring applications, infrastructure, databases, and more seamlessly on a single, intuitive dashboard. Effortlessly trace and analyze digital journeys in just a few clicks, right from the browser and applications to infrastructure. Uncover valuable insights into user journeys, understand dropouts, and pinpoint critical points in business transactions through deep user analytics and real user monitoring (RUM). Quickly adapt, optimize and innovate with real-time visibility and rapid root-cause analysis. Access our team of experts round-the-clock, 365 days a year to ensure you receive timely assistance and personalized support to address your specific needs. -
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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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OpenLIT
OpenLIT
OpenLIT is an OpenTelemetry-native application observability tool. It's designed to make the integration process of observability into AI projects with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace. OpenLIT's native support makes adding it to your projects feel effortless and intuitive. Analyze LLM and GPU performance, and costs to achieve maximum efficiency and scalability. Streams data to let you visualize your data and make quick decisions and modifications. Ensures that data is processed quickly without affecting the performance of your application. OpenLIT UI helps you explore LLM costs, token consumption, performance indicators, and user interactions in a straightforward interface. Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically. OpenLIT ensures your applications are monitored seamlessly.Starting Price: Free -
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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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Portkey
Portkey.ai
Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!Starting Price: $49 per month -
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Cerebrium
Cerebrium
Deploy all major ML frameworks such as Pytorch, Onnx, XGBoost etc with 1 line of code. Don't have your own models? Deploy our prebuilt models that have been optimised to run with sub-second latency. Fine-tune smaller models on particular tasks in order to decrease costs and latency while increasing performance. It takes just a few lines of code and don't worry about infrastructure, we got it. Integrate with top ML observability platforms in order to be alerted about feature or prediction drift, compare model versions and resolve issues quickly. Discover the root causes for prediction and feature drift to resolve degraded model performance. Understand which features are contributing most to the performance of your model.Starting Price: $ 0.00055 per second -
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Aporia
Aporia
Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution. -
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aspenONE Asset Performance Management (APM)
Aspen Technology
Get accurate failure alerts weeks or months in advance with real-time data and predictive analytics. Leverage the combination of prescriptive maintenance, root cause analysis, RAM analysis and more to address issues at the equipment, process and system levels. Quickly deploy automated Asset Performance Management solutions through low-touch machine learning to predict asset failures and reduce downtime — plant-wide, system-wide or across multiple locations. -
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IBM® Z® Operations Analytics is a tool that enables you to search, visualize and analyze large amounts of structured and unstructured operational data across IBM Z environments, including log, event and service request data and performance metrics. Leverage your analytics platform and machine learning to gain enterprise visibility, identify issues in your workloads, locate hidden problems and perform root cause analysis faster. Use machine learning to baseline normal system behavior and detect operational anomalies. Detect emerging issues across services, so you can proactively alert and cognitively adjust to changes. Gain expert advice for corrective actions and greater service assurance. Identify unusual workload behaviors. Locate common issues hidden in operational data. Reduce time required for root cause analysis. Harness the domain expertise of IBM Z. Leverage IBM Z insights on your analytics platform.
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IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
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Athina AI
Athina AI
Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.Starting Price: Free -
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Arize Phoenix
Arize AI
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.Starting Price: Free -
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Taam Cloud
Taam Cloud
Taam Cloud is a powerful AI API platform designed to help businesses and developers seamlessly integrate AI into their applications. With enterprise-grade security, high-performance infrastructure, and a developer-friendly approach, Taam Cloud simplifies AI adoption and scalability. Taam Cloud is an AI API platform that provides seamless integration of over 200 powerful AI models into applications, offering scalable solutions for both startups and enterprises. With products like the AI Gateway, Observability tools, and AI Agents, Taam Cloud enables users to log, trace, and monitor key AI metrics while routing requests to various models with one fast API. The platform also features an AI Playground for testing models in a sandbox environment, making it easier for developers to experiment and deploy AI-powered solutions. Taam Cloud is designed to offer enterprise-grade security and compliance, ensuring businesses can trust it for secure AI operations.Starting Price: $10/month -
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Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
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VirtualMetric
VirtualMetric
VirtualMetric is a powerful telemetry pipeline solution designed to enhance data collection, processing, and security monitoring across enterprise environments. Its core offering, DataStream, automatically collects and transforms security logs from a wide range of systems such as Windows, Linux, MacOS, and Unix, enriching data for further analysis. By reducing data volume and filtering out non-meaningful logs, VirtualMetric helps businesses lower SIEM ingestion costs, increase operational efficiency, and improve threat detection accuracy. The platform’s scalable architecture, with features like zero data loss and long-term compliance storage, ensures that businesses can maintain high security standards while optimizing performance.Starting Price: Free -
41
Manot
Manot
Your insight management platform for computer vision model performance. Pinpoint precisely where, how, and why models fail, bridging the gap between product managers and engineers through actionable insights. Manot provides an automated and continuous feedback loop for product managers to effectively communicate with engineering teams. Manot's simple user interface allows both technical and non-technical team members to benefit from the platform. Manot is designed with product managers in mind. Our platform provides actionable insights in the form of images pinpointing how, where, and why your model will perform poorly. -
42
fixa
fixa
fixa is an open source platform designed to help monitor, debug, and improve AI-driven voice agents. It offers comprehensive tools to track key performance metrics, such as latency, interruptions, and correctness in voice interactions. Users can measure response times, track latency metrics like TTFW and p50/p90/p95, and flag instances where the voice agent interrupts the user. Additionally, fixa allows for custom evaluations to ensure the voice agent provides accurate responses, and it offers custom Slack alerts to notify teams when issues arise. With simple pricing models, fixa is tailored for teams at different stages, from those just getting started to organizations with custom needs. It provides volume discounts and priority support for enterprise clients, and it emphasizes data security with SOC 2 and HIPAA compliance options.Starting Price: $0.03 per minute -
43
Virtana Platform
Virtana
Know before you go to the public cloud with a single AI-powered observability platform to migrate, control cost, optimize performance, monitor, and drive uptime for your infrastructure across data centers, private and public clouds. The most difficult challenges facing enterprises as they seek to leverage public clouds are how to “know before you go” which workloads to migrate and how to avoid unexpected costs and performance degradation once workloads are operating in the cloud. With the Virtana unified observability platform, you can migrate and optimize across hybrid, public, and private cloud environments. This modular hybrid-cloud infrastructure optimization platform collects high-fidelity data — then apply AIOps technologies, including machine learning and advanced data analytics to to provide intelligent observability of singular workloads to make better decisions about what to move and where to move it while still meeting performance requirements. -
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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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Sensai
Sensai
Sensai provides AI based anomaly detection, root cause analysis and prediction tool, enabling real time resolution of issues. Sensai AI solution significantly improves uptime & time to root cause. Empowers IT leaders to manage SLAs for improved performance and profitability. Streamlines & automates anomaly detection, prediction, root cause analysis (RCA) & resolution. Holistic view & integrated analytics through integration w/3rd party tools. Pre-trained algorithms & models from day one. -
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Opster
Opster
Reduce your hardware costs while improving performance with Opster’s AutoOps platform by optimizing mapping, stabilizing operations and improving resource utilization. You need more than orchestration, management capabilities and ticket-based support. AutoOps covers everything you need in real-time, with hands-on support. AutoOps diagnoses issues across all aspects of Elasticsearch operations. Once diagnosed, the system not only provides precision root cause analysis, but also resolves the issue. The AutoOps platform can perform advanced optimizations such as: shard rebalancing, blocking heavy searches, optimizing templates and more. These optimizations will ensure that your cluster will operate at peak performance and maximum resiliency. By optimizing mapping, stabilizing operations and improving resource utilization, Opster’s AutoOps platform allows customers to significantly downsize the needed hardware for their deployment.Starting Price: $2.2 per GB per month -
47
Nazar
Nazar
Nazar was created from our own needs to manage multiple databases in multi-cloud or hybrid environments. It is production ready for the main database engines and completely eliminates the need for using multiple tools. It saves one a lot of time by making a standard and easy way to setup new servers in the platform. Get a normalized view of your database's behavior on a single dashboard without having to use multiple tools with completely different views and metrics from one another. Setting up, tracing and investigating logs and querying data dictionaries every time is not where the race is won. Nazar uses the resources already available in the DBMS for monitoring and does not need to rely on agents. NAZAR automates anomaly detection and root-cause analysis, reducing mean time to resolution (MTTR) and detecting issues to avoid incidents for peak application and business performance. -
48
Helicone
Helicone
Track costs, usage, and latency for GPT applications with one line of code. Trusted by leading companies building with OpenAI. We will support Anthropic, Cohere, Google AI, and more coming soon. Stay on top of your costs, usage, and latency. Integrate models like GPT-4 with Helicone to track API requests and visualize results. Get an overview of your application with an in-built dashboard, tailor made for generative AI applications. View all of your requests in one place. Filter by time, users, and custom properties. Track spending on each model, user, or conversation. Use this data to optimize your API usage and reduce costs. Cache requests to save on latency and money, proactively track errors in your application, handle rate limits and reliability concerns with Helicone.Starting Price: $1 per 10,000 requests -
49
OPUS
VROC
OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. Without any programming or coding experience teams can analyze their data, predict future performance, identify opportunities to reduce power consumption, improve productivity, and make adjustments to settings which can drastically improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis into individual components so you can focus your efforts. Improve safety, compliance and environmental outcomes through artificial intelligence predictive insights, allowing you to plan interventions and make informed business decisions. With rapid deployment & AI model results in just minutes, you can unleash the power of your operational data and experience ROI. Optimize your entire facility, plant or worksite. -
50
SolarWinds Log Analyzer
SolarWinds
Easily investigate machine data to help identify the root cause of IT issues faster. Powerfully designed and intuitive log aggregation, tagging, filtering, and alerting for effective troubleshooting. Fully integrated with Orion Platform products, enabling a unified view of IT infrastructure monitoring and associated logs. We’ve worked as network and systems engineers, so we understand your problems and how to solve them. Your infrastructure is constantly generating log data to provide performance insight. Collect, consolidate, and analyze thousands of syslog, traps, Windows, and VMware events to perform root-cause analysis with log monitoring tools from Log Analyzer. Perform searches using basic matching. Execute searches using multiple search criteria and apply filters to narrow results. Save, schedule, and export search results within the log monitoring software.