Alternatives to Mona
Compare Mona alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Mona in 2026. Compare features, ratings, user reviews, pricing, and more from Mona competitors and alternatives in order to make an informed decision for your business.
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Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
2
Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. -
3
Dataiku
Dataiku
Dataiku is an enterprise AI platform designed to help organizations move from fragmented AI efforts to fully scalable and governed AI success. It brings together people, data, and technology into a single system that enables collaboration between domain experts and technical teams. The platform allows users to build, deploy, and manage AI models, analytics workflows, and AI agents with greater efficiency. Dataiku emphasizes orchestration by connecting data sources, applications, and machine learning processes into unified pipelines. It also provides strong governance capabilities, helping organizations monitor performance, control costs, and reduce risks across AI initiatives. Businesses across industries use Dataiku to modernize analytics, automate workflows, and scale machine learning across teams. With proven results from global enterprises, the platform supports faster innovation and measurable ROI through AI-driven solutions. -
4
Edge Delta
Edge Delta
Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.Starting Price: $0.20 per GB -
5
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 -
7
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 -
8
Arize AI
Arize AI
Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.Starting Price: $50/month -
9
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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Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
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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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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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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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NEMESIS
Aviana
NEMESIS: Next-generation AI-powered anomaly detection technology designed to recognize fraud and waste. NEMESIS: Next-generation AI-powered anomaly detection technology pinpoints efficiency opportunities in your business management systems. Powered by AI, NEMESIS is an enterprise-ready configurable business solution platform, empowering business analysts to swiftly transform data into actionable insights. Allow the power of AI to solve your problems of overstaffing, medical errors, quality of care, and claims fraud. Benefit from NEMESIS’s uninterrupted process monitoring, unearthing a wide range of risk elements, from predicting quality issues to waste and abuse. Employ machine learning and AI to detect fraud and fraud schemes before they drain your finances. Exercise more robust controls over expenses and budget deviations, through continuous visibility of waste and abuse. -
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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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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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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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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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Qualytics
Qualytics
Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement. -
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Auger.AI
Auger.AI
Auger.AI has the most complete solution for ensuring machine learning model accuracy. Our MLRAM tool (Machine Learning Review and Monitoring) ensures your models are consistently accurate. It even computes the ROI of your predictive model! MLRAM works with any machine learning technology stack. If your ML system lifecyle doesn’t include consistent measurement of model accuracy, you’re likely losing money from inaccurate predictions. And frequent retraining of models is both expensive and, if they’re experiencing concept drift, may not fix the underlying problem. MLRAM provides value to both the data scientist and business user with features like accuracy visualization graphs, performance and accuracy alerts, anomaly detection and automated optimized retraining. Hooking up your predictive model to MLRAM is just a single line of code. We offer a free one month trial of MLRAM to qualified users. Auger.AI is the most accurate AutoML platform.Starting Price: $200 per month -
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VictoriaMetrics Anomaly Detection
VictoriaMetrics
VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency. -
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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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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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BIRD Analytics
Lightning Insights
BIRD Analytics is a blazingly fast high performance, full-stack data management, and analytics platform to generate insights using agile BI and AI/ ML models. It covers all the aspects - starting from data ingestion, transformation, wrangling, modeling, storing, analyze data in real-time, that too on petabyte-scale data. BIRD provides self-service capabilities with Google-type search and powerful ChatBot integration. We’ve compiled our resources to provide the answers you seek. From industry uses cases to blog articles, learn more about how BIRD addresses Big Data pain points. Now that you’ve discovered the value of BIRD, schedule a demo to see the platform in action and uncover how it can transform your distinct data. Utilize AI/ML technologies for greater agility & responsiveness in decision-making, cost reduction, and improving customer experiences. -
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Trusys AI
Trusys
Trusys.ai is a unified AI assurance platform that helps organizations evaluate, secure, monitor, and govern artificial intelligence systems across their full lifecycle, from early testing to production deployment. It offers a suite of tools: TRU SCOUT for automated security and compliance scanning against global standards and adversarial vulnerabilities, TRU EVAL for comprehensive functional evaluation of AI applications (text, voice, image, and agent) assessing accuracy, bias, and safety, and TRU PULSE for real-time production monitoring with alerts for drift, performance degradation, policy violations, and anomalies. It provides end-to-end observability and performance tracking, enabling teams to catch unreliable output, compliance gaps, and production issues early. Trusys supports model-agnostic evaluation with a no-code, intuitive interface and integrates human-in-the-loop reviews and custom scoring metrics to blend expert judgment with automated metrics.Starting Price: Free -
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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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Tangent Works
Tangent Works
Drive business value from predictive analytics. Make informed decisions and improve processes. Create predictive models in seconds for faster and better forecasting & anomaly detection. TIM InstantML is a hyper-automated, augmented machine learning solution for time series data for better, faster, and more accurate forecasting, anomaly detection, and classification. TIM helps you to discover the business value of your data and enables you to leverage the power of predictive analytics. High-quality automatic feature engineering while simultaneously adapting the model structure and model parameters. TIM offers flexible deployment options. Easy integration with some of your favorite platforms. TIM offers a wide array of interfaces. Users looking for a streamlined graphical interface can find this in TIM Studio. Become truly data-driven with powerful, automated predictive analytics. Discover the predictive value in your data faster and easier.Starting Price: €3.20 per month -
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MyDataModels TADA
MyDataModels
Deploy best-in-class predictive analytics models TADA by MyDataModels helps professionals use their Small Data to enhance their business with a light, easy-to-set-up tool. TADA provides a predictive modeling solution leading to fast and usable results. Shift from days to a few hours into building ad hoc effective models with our 40% reduced time automated data preparation. Get outcomes from your data without programming or machine learning skills. Optimize your time with explainable and understandable models made of easy-to-read formulas. Turn your data into insights in a snap on any platform and create effective automated models. TADA removes the complexity of building predictive models by automating the generative machine learning process – data in, model out. Build and run machine learning models on any devices and platforms through our powerful web-based pre-processing features.Starting Price: $5347.46 per year -
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Digna
digna GmbH
digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments. It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time. Core Capabilities * Data Anomaly Detection Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules. * Time-Series Analytics Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform. * Data Timeliness Monitoring Tracks expected data arrival times and identifies delays across pipelines and data flows. * Data Validation Supports rule-based validation with reusable templates and centralized definitions of allowed values. * Schema Change Tracking Detects structural changes in dat -
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AiOpsX
XPLG
Deep Text Inspection, anomaly detection, clustering. Cutting edge AI that scans all log data and streams insights and alerts. ML clustering that detects new errors, unique risk KPI and more. Pattern recognition and discovery. Anomaly detection for data, risk and content monitoring. Integration with Logstash, ELK and others. AiOpsX deployed in minutes on any log data and augmentד existing monitoring and log analysis tools with millions of smart eyes. Security, performance, audit, errors & problems, trends, anomalies, and much more! Unique algorithms identify patterns and compute risk levels. Anomaly detection continuously scans risk level and performance data to identify outliers. The AiOpsX monitoring engine identifies new types of messages, errors, log volume changes, risk level spikes; and triggers reports and alerts for IT monitoring teams and app owners. -
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Elastic Observability
Elastic
Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.Starting Price: $16 per month -
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Braintrust
Braintrust Data
Braintrust is an AI observability and evaluation platform designed to help teams build, monitor, and improve AI systems in production. It enables users to capture and inspect real-time traces of AI interactions, including prompts, responses, and tool usage. The platform allows teams to measure performance using automated and human evaluations to ensure output quality. Braintrust helps identify issues such as hallucinations, regressions, and performance drops before they impact users. It supports prompt and model comparisons, making it easier to optimize AI workflows over time. With scalable trace ingestion and real-time monitoring, teams gain full visibility into how their AI systems behave. The platform integrates with multiple programming languages and tools, allowing developers to work within their existing tech stack. Overall, Braintrust provides a comprehensive solution for maintaining and improving AI quality at scale. -
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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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SAS Viya
SAS
SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments. -
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Metaplane
Metaplane
Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.Starting Price: $825 per month -
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Dynamiq
Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your ownStarting Price: $125/month -
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Rapidminer
Siemens
Rapidminer is an enterprise AI and analytics solution from Siemens that helps organizations unify data preparation, machine learning, knowledge graphs, generative AI, and agentic AI. It connects siloed data with business context so companies can build, govern, and scale trusted AI solutions. The platform helps organizations uncover hidden insights, modernize existing systems, and automate analytics workflows. Rapidminer can activate dark data from reports and PDFs, support existing SAS language code, and resolve complex questions through unified knowledge graphs. It also provides visual drag-and-drop tools for explainable AI, AutoML, self-service data preparation, and real-time data visualization. With capabilities for AI agents, semantic data modeling, and enterprise automation, Rapidminer helps businesses turn complex data into strategic decisions.Starting Price: Free -
38
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 -
39
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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Orq.ai
Orq.ai
Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security. -
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IBM Z Anomaly Analytics is software that provides intelligent anomaly detection and grouping to proactively identify operational issues in your enterprise environment. IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect anomalous behavior. A correlation algorithm then groups and analyzes anomalous events to proactively alert operation teams of emerging problems. Your essential services and applications must always be available in today's digital environment. For enterprises with hybrid applications, including IBM Z, detecting and determining the root cause of hybrid application issues has become more complex with rising costs, skill shortages, and changing user patterns. Proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data.
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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. -
43
Saturn Cloud
Saturn Cloud
Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new ideas, then easily deploy them into production. Scale fast—from proof-of-concept to production-ready applications. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.ioStarting Price: $0.005 per GB per hour -
44
Arkestro
Arkestro
No login, no app, no hassle. Seamless one-click sourcing events in your suppliers' inbox, embedded with real-time predictive data. Our flexible data model works for every category of spend. If you can source it in Excel, you can source it using Arkestro. Predictive anomaly detection catches and corrects errors before they reach procurement. Role-based access simplifies project management for sourcing events, enabling any stakeholder to get updates. Sourcing events in Arkestro learn from your supplier's behavior to shorten cycles. A simplified email-based workflow provides you with any set of award scenarios for any size or complexity of sourcing events. Supplier quotes are filled with errors from data entry and copy-paste. Checking on the status of a sourcing process requires a slew of pivot tables. New sourcing cycles don’t learn from supplier quotes in previous cycles. Use our pricing simulator to generate instant suggestions for your suppliers to modify and submit. -
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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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Oracle Fusion Data Intelligence platform is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning models to deliver deeper insights and accelerate the decision-making process into actionable results. Go beyond dashboards and reports with prebuilt applications for insights and AI/ML-driven recommendations to facilitate actions. Analyze performance against objectives with more than 2,000 best-practice key metrics, dashboards, and reports for ERP, SCM, HCM, and CX. Benefit from prebuilt, connected 360-degree views of key business entities, combining data from Fusion Cloud Applications and other sources. Leverage out-of-the-box AI/ML models to predict business outcomes and uncover valuable insights. Compose your own content with custom data, analytics, AI/ML, and applications.
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PowerAI
Buzz Solutions
Robust software platform, REST APIs, analytics, and work prioritization to help you efficiently and accurately inspect energy infrastructure with powerful AI capabilities. Optimize your inspection with the highest accuracy. PowerAI makes inspections safer, more cost and time-efficient, and more collaborative than ever before. Embrace the future with AI-based visual data processing and keep your people, assets, and community safe. Our AI-based anomaly detection redefines accuracy and consistency in power infrastructure inspections with the most accurate visual data processing in the industry. This precision leads to 50-70% cost savings on data processing and visual anomaly detections as well as 50-60% time savings. We offer industry-leading accuracy for the detection of 27 different assets and asset anomalies. Our technology, driven by machine learning, redefines accuracy and consistency in power infrastructure inspections. -
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InfraSonar
InfraSonar
InfraSonar is an infrastructure monitoring solution that offers real-time performance monitoring, anomaly detection, and operations optimization. It is designed to be easy to use and adaptable to an organization's unique needs. Its modular setup allows for the easy addition of custom data collectors. InfraSonar also has an extensive API for integration with BI platforms for reporting purposes and supports various notification methods including SMS, WhatsApp, email, and voice calls. InfraSonar is a comprehensive multi-tenant solution designed to scale effortlessly to meet the diverse needs of any Managed Service Provider (MSP) or customer. Our platform offers an extensive set of industry best practices to get you started quickly and efficiently. However, we understand that every business has unique requirements, which is why InfraSonar allows you the flexibility to define your own conditions, views, and reports. -
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Infrascale Cloud Backup
Infrascale
Infrascale offers an enterprise cloud backup solution which includes Anomaly Detection, to alert you when the number of “new” or “changed” files dramatically changes from established benchmark levels. The Anomaly Detection feature provides an important early warning system to quickly isolate a ransomware infection and allow you to recover important data before the entire network is frozen. Infrascale understands that backup and recovery of mission-critical data is of utmost importance. This includes the flexibility to perform backups on any endpoint device, and to deliver fast and effortless restores – as well as making it easy to use for the end user. Infrascale Cloud Backup provides unlimited retention and version history, with support for an unlimited number of endpoint devices. Endpoint backup data is always available! With built-in local backup for rapid restore and redundancy, and Live Protect to monitor and capture data changes real-time. -
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Lentiq
Lentiq
Lentiq is a collaborative data lake as a service environment that’s built to enable small teams to do big things. Quickly run data science, machine learning and data analysis at scale in the cloud of your choice. With Lentiq, your teams can ingest data in real time and then process, clean and share it. From there, Lentiq makes it possible to build, train and share models internally. Simply put, data teams can collaborate with Lentiq and innovate with no restrictions. Data lakes are storage and processing environments, which provide ML, ETL, schema-on-read querying capabilities and so much more. Are you working on some data science magic? You definitely need a data lake. In the Post-Hadoop era, the big, centralized data lake is a thing of the past. With Lentiq, we use data pools, which are multi-cloud, interconnected mini-data lakes. They work together to give you a stable, secure and fast data science environment.