Alternatives to evoML
Compare evoML alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to evoML in 2026. Compare features, ratings, user reviews, pricing, and more from evoML competitors and alternatives in order to make an informed decision for your business.
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Fraud.net
Fraud.net, Inc.
Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow. The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. Request your demo today and discover Fraudnet. -
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Amazon Lookout for Metrics
Amazon
Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes. -
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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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Nixtla
Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.Starting Price: Free -
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Google Cloud Inference API
Google
Time-series analysis is essential for the day-to-day operation of many companies. Most popular use cases include analyzing foot traffic and conversion for retailers, detecting data anomalies, identifying correlations in real-time over sensor data, or generating high-quality recommendations. With Cloud Inference API Alpha, you can gather insights in real-time from your typed time-series datasets. Get everything you need to understand your API queries results, such as groups of events that were examined, the number of groups of events, and the background probability of each returned event. Stream data in real-time, making it possible to compute correlations for real-time events. Rely on Google Cloud’s end-to-end infrastructure and defense-in-depth approach to security that’s been innovated on for over 15 years through consumer apps. At its core, Cloud Inference API is fully integrated with other Google Cloud Storage services. -
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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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Anomaly detection in time series data is essential for the day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real-time from your time-series datasets. Get everything you need to understand your API query results, such as anomaly events, forecasted range of values, and slices of events that were examined. Stream data in real-time, making it possible to detect anomalies while they are happening. Rely on Google Cloud's end-to-end infrastructure and defense-in-depth approach to security that's been innovated for over 15 years through consumer apps like Gmail and Search. At its core, Timeseries Insights API is fully integrated with other Google Cloud Storage services, providing you with a consistent method of access across storage products. Detect trends and anomalies with multiple event dimensions. Handle datasets consisting of tens of billions of events. Run thousands of queries per second.
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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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LotusEye
LotusEye
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.Starting Price: $13 per month -
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Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
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Outlier
Outlier
Outlier.ai is an AI-powered automated business analytics platform that helps organizations rapidly identify important patterns, anomalies, and impactful changes across their business data so teams can make faster, data-driven decisions without needing extensive manual analysis or deep data science expertise; by connecting to multiple data sources such as analytics systems, sales platforms, or operational databases in minutes, it continuously monitors time series data, detects hidden trends and outliers, and highlights shifts that could signal opportunities or risks while presenting findings in human-readable formats that clarify what’s changed and why it matters. It uses advanced machine learning and AI models to sift through complex datasets, surface unforeseen relationships, and contextualize insights with automated alerts and narrative explanations so users can understand key drivers behind performance shifts and act quickly.Starting Price: Free -
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Accelerate your deep learning workload. Speed your time to value with AI model training and inference. With advancements in compute, algorithm and data access, enterprises are adopting deep learning more widely to extract and scale insight through speech recognition, natural language processing and image classification. Deep learning can interpret text, images, audio and video at scale, generating patterns for recommendation engines, sentiment analysis, financial risk modeling and anomaly detection. High computational power has been required to process neural networks due to the number of layers and the volumes of data to train the networks. Furthermore, businesses are struggling to show results from deep learning experiments implemented in silos.
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RemoteAware GenAI Analytics Platform
New Boundary Technologies
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation. -
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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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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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Amazon SageMaker Debugger
Amazon
Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values. -
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ML.NET
Microsoft
ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.Starting Price: Free -
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Robyn
Meta
Robyn is an open source, experimental Marketing Mix Modeling (MMM) package developed by Meta’s Marketing Science team. It’s designed to help advertisers and analysts build rigorous, data-driven models that quantify how different marketing channels contribute to business outcomes (like sales, conversions, or other KPIs) in a privacy-safe, aggregated way. Rather than relying on user-level tracking, Robyn analyzes historical time-series data, combining marketing spend or reach data (ads, promotions, organic efforts, etc.) with outcome metrics, to estimate incremental impact, saturation effects, and carry-over (adstock) dynamics. Under the hood, Robyn blends classical statistical methods with modern machine learning and optimization; it uses ridge regression (to regularize against multicollinearity in many-channel models), time-series decomposition to isolate trend and seasonality, and a multi-objective evolutionary algorithm.Starting Price: Free -
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Anomalia
Scry AI
Anomalia® uses proprietary AI-Algorithms to identify potential fraud, risk, conflict and non-compliance in financial and legal engagements at transactional level. Anomalia® anomaly detection in ACH Transactions uses customer’s transactional as well as behavioral data to detect anomalies in ACH transactions and prevents fraudulent transactions. Anomalia® anomaly detection in mobile check deposits analyzes authenticity of mobile checks, accounts in which they are deposited and their geo-spatial mobile deposit locations to detect potential fraud in transactions. Anomalia® anomaly detection in wire transactions analyzes originators, beneficiaries and their anomaly scores derived from other wire transactions to detect and prevent potential frauds. Anomalia® anti money laundering performs analyzes on various transactions, entities and their linkages for enhanced due diligence to detect potential money laundering transactions. -
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Artemis
TurinTech AI
Artemis leverages Generative AI, multi-agent collaboration, genetic optimization, and contextual insights to analyze, optimize, and validate codebases at scale, transforming existing repositories into production-ready solutions that improve performance, reduce technical debt, and ensure enterprise-quality outcomes. Integrating seamlessly with your tools and repositories, it uses advanced indexing and scoring to pinpoint optimization opportunities, orchestrates multiple LLMs and proprietary algorithms to generate tailored improvements, and performs real-time validation and benchmarking to guarantee secure, scalable results. A modular Intelligence Engine powers extensions for profilers and security tools, ML models for anomaly detection, and an evaluation suite for rigorous testing, all designed to lower costs, boost innovation, and accelerate time-to-market without disrupting existing workflows. -
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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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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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Edge Impulse
Edge Impulse
Build advanced embedded machine learning applications without a PhD. Collect sensor, audio, or camera data directly from devices, files, or cloud integrations to build custom datasets. Leverage automatic labeling tools from object detection to audio segmentation. Set up and run reusable scripted operations that transform your input data on large sets of data in parallel by using our cloud infrastructure. Integrate custom data sources, CI/CD tools, and deployment pipelines with open APIs. Accelerate custom ML pipeline development with ready-to-use DSP and ML algorithms. Make hardware decisions based on device performance and flash/RAM every step of the way. Customize DSP feature extraction algorithms and create custom machine learning models with Keras APIs. Fine-tune your production model with visualized insights on datasets, model performance, and memory. Find the perfect balance between DSP configuration and model architecture, all budgeted against memory and latency constraints. -
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Amazon DevOps Guru
Amazon
Amazon DevOps Guru is a machine learning (ML)-powered service designed to make it easy to improve the operational performance and availability of an application. DevOps Guru helps detect behaviors that deviate from normal operating patterns, so you can identify operational errors long before they affect your customers. DevOps Guru uses ML models with information collected over years by Amazon.com and AWS Operational Excellence to identify anomalous application behavior (for example, increased latency, error rates, resource limitations, etc.) and helps detect critical errors that could potentially cause service interruptions. When the DevOps Guru identifies a critical issue, it automatically sends an alert and provides a summary of related anomalies, the likely root cause, and context on when and where the issue occurred.Starting Price: $0.0028 per resource per hour -
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Bifrost
Bifrost AI
Quickly and easily generate diverse and realistic synthetic data and high-fidelity 3D worlds to enhance model performance. Bifrost's platform is the fastest way to generate the high-quality synthetic images that you need to improve ML performance and overcome real-world data limitations. Prototype and test up to 30x faster by circumventing costly and time-consuming real-world data collection and annotation. Generate data to account for rare scenarios underrepresented in real data, resulting in more balanced datasets. Manual annotation and labeling is an error-prone, resource-intensive process. Easily and quickly generate data that is pre-labeled and pixel-perfect. Real-world data can inherit the biases of conditions under which the data was collected, and generate data to solve for these instances. -
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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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Qualdo
Qualdo
We are a leader in Data Quality & ML Model for enterprises adopting a multi-cloud, ML and modern data management ecosystem. Algorithms to track Data Anomalies in Azure, GCP & AWS databases. Measure and monitor data issues from all your cloud database management tools and data silos, using a single, centralized tool. Quality is in the eye of the beholder. Data issues have different implications depending on where you sit in the enterprise. Qualdo is a pioneer in organizing all data quality management issues through the lens of multiple enterprise stakeholders, presenting a unified view in a consumable format. Deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance. -
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Amazon Lookout for Equipment
Amazon
Use data from existing sensors to create machine learning (ML) models specific to your equipment. Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors. Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected. Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback. Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime. Avoid unplanned downtime by automatically detecting abnormal equipment behavior. Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required. -
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Folio3
Folio3 Software
Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy. -
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Quindar
Quindar
Monitor, control, and automate spacecraft operations. Operate multiple missions, diverse satellites, and various payloads within a unified interface. Control multiple satellite types in a single interface allowing for legacy fleet migration and next-gen payload support. Track spacecraft, reserve contacts, automate tasking, and intelligently respond to ground and space incidents with Quindar Mission Management. Harness the power of advanced analytics and machine learning to turn data into actionable intelligence. Make decisions faster via predictive maintenance, trend analysis, and anomaly detection. Leveraging data-driven insights that propel your mission forward. Built to integrate seamlessly with your existing systems and third-party applications. As your needs evolve, your operations can too without the constraint of vendor lock-in. Analyze flight paths and commands across most C2 systems. -
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Simplismart
Simplismart
Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go. -
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The insight you need to guard business integrity and avoid suspicious transactions with high-risk third parties. With powerful Big Data screening software from SAP, you can improve the detection and prevention of anomalies, leading to mitigated fraud risk and fewer losses. The SAP Business Integrity Screening application helps you identify anomalous activity quickly using flexible rule sets and predictive analyses that can help uncover potential fraud patterns. Protect revenue and reduce fraud-induced losses by screening high volumes of transactions for anomalies with analytics capabilities that result in fewer false positives. Analyze exception-based scenarios and behavioral analytics to avoid reoccurrence and determine effective approaches for mitigating future anomalies and fraud. Refine your detection strategies with calibration and simulation features to perform what-if analyses on historical data and assess which approaches are most effective.
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Synthesis AI
Synthesis AI
A synthetic data platform for ML engineers to enable the development of more capable AI models. Simple APIs provide on-demand generation of perfectly-labeled, diverse, and photoreal images. Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images. On-demand data enables new data-centric approaches to develop more performant models. An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more. Rapidly design, test, and refine your products before building hardware. Prototype different imaging modalities, camera placements, and lens types to optimize your system. Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more. We have worked with world-class customers across many use cases. -
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Elastic APM
Elastic
Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.Starting Price: $95 per month -
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CluePoints
CluePoints
CluePoints is a cloud-based AI-driven risk-based quality management and clinical data oversight platform that leverages advanced statistics, machine learning, and deep learning to improve the integrity, accuracy, and safety of clinical trial data and processes; it provides real-time anomaly detection and centralized statistical monitoring that identifies outliers and data risks traditional methods might miss, enabling teams to manage risks proactively and accelerate issue resolution in line with FDA, EMA, and ICH guidelines. It includes specialized solutions such as Risk-Based Quality Management (RBQM) for real-time risk detection, Medical & Safety Review (MSR) for consolidated review and query workflows, Intelligent Medical Coding to automate consistent clinical coding suggestions, Intelligent Query Detection (IQD) to streamline discrepancy detection, and tools like the Site Profile & Oversight Tool (SPOT) for adaptive site monitoring. -
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Rapidminer Knowledge Studio
Siemens
Rapidminer Knowledge Studio is a no-code machine learning and predictive analytics solution from Siemens designed for data scientists, business analysts, and business users. It helps users create predictive and prescriptive models through an interactive visual interface without requiring programming skills. The platform uses explainable decision trees and strategy trees to make machine learning models easier to understand, trust, and manage. Users can build drag-and-drop workflows, connect to diverse data sources, and generate actionable insights from business data. Rapidminer Knowledge Studio supports use cases such as credit risk, fraud detection, marketing analytics, product lifecycle planning, and customer loyalty programs. With model code generation in Python, R, SAS, SQL, PMML, and more, it helps organizations move from visual model design to practical implementation. -
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Scale Data Engine
Scale AI
Scale Data Engine helps ML teams build better datasets. Bring together your data, ground truth, and model predictions to effortlessly fix model failures and data quality issues. Optimize your labeling spend by identifying class imbalance, errors, and edge cases in your data with Scale Data Engine. Significantly improve model performance by uncovering and fixing model failures. Find and label high-value data by curating unlabeled data with active learning and edge case mining. Curate the best datasets by collaborating with ML engineers, labelers, and data ops on the same platform. Easily visualize and explore your data to quickly find edge cases that need labeling. Check how well your models are performing and always ship the best one. Easily view your data, metadata, and aggregate statistics with rich overlays, using our powerful UI. Scale Data Engine supports visualization of images, videos, and lidar scenes, overlaid with all associated labels, predictions, and metadata. -
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DataPortia
Atorcom
DataPortia is an advanced on-premises industrial data acquisition and reporting software with built-in AI analytics. It connects to automation systems via OPC UA protocol (Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, Rockwell), collects 2000+ measurement points per second, and stores time-series data in PostgreSQL/TimescaleDB. Key features: - Real-time dashboards with gauges, charts, bar charts, and tables - Interactive trend views with ECharts visualization and drag-to-zoom - Comprehensive reporting with CSV and PDF export - Automated report scheduling (daily, weekly, monthly, custom) - AI-powered data analysis with local Ollama LLM (anomalies, forecasts, cost optimization, reports) — no cloud dependency - OPC UA Alarms & Conditions management with analytics and export - OPC UA history read from server historian - Calculation circuits (cumulative and non-cumulative formulas) - Tag transfer, copy and merge between connections - TimescaleDB time-series databaseStarting Price: 4000€/one-time -
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Azure AI Metrics Advisor
Microsoft
Embed AI-powered monitoring features to stay one step ahead of incidents, no machine learning expertise is required. Monitor the performance of your organization's growth engines, including sales revenue and manufacturing operations, with Azure AI Metrics Advisor, built on AI Anomaly Detector, and a part of Azure AI Services. Quickly identify and fix problems through a powerful combination of monitoring in near-real time, adapting models to your scenario, and offering granular analysis with diagnostics and alerting. End-to-end management of data monitoring is easily done through the AI Metrics Advisor interface, which plugs into popular time-series databases and provides stream monitoring support. All dimension combinations are analyzed to pinpoint affected areas for root-cause analysis and diagnoses and send alerts. A guided autotuning experience helps you customize the service to your unique needs.Starting Price: $0.75 per 1,000 time series -
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CaseWare IDEA
CaseWare International
Data Analytics is changing the game for audit, accounting and finance professionals globally. So, when you’re analyzing data for any audit, whether you want to detect fraud, or identify anomalies, trends or patterns, you need a solution that helps you deliver high-quality audits every single time. IDEA® Data Analysis Software is a comprehensive, powerful and easy-to-use data analysis solution designed by audit experts. With a modern, intuitive interface and advanced analytical functionalities, IDEA accelerates data analytics, provides a more user-friendly experience and enables deeper insights in a timely, cost-effective manner for more informed business decisions. Easily import information from any data source. Read-only access protects source data integrity. Use 100+ audit functions for a robust analysis. Visually pinpoint patterns, trends and outliers. A clear audit trail allows for repeatable analysis. -
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Innovative Binaries
Innovative Binaries
Our aircraft structural health diagnostics and prognostics comprise the acquisition of large data sets from aircraft sensors (including several sub-systems-avionics, landing gear, engine, etc.). Data adapters will transform these data sets to a neutral format data lake. This transformation will enable almost real-time anomaly fault detection, isolation, and potential degradation alerts. Suggested actions will reduce operating costs and increase safety and reliability of the fleet. The platform captures isolated sources of data to reveal important information about the health of the engine. Our approach helps to detect anomalies by producing an early-warning detection system. The alerts increase fleet reliability. Line and hangar maintenance shops can be assured of higher parts availability, higher throughput, reduced no-fault-found (NFF) incidences, parts inventory, and maintenance costs.Starting Price: $300.00/month -
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Gemini Enterprise Agent Platform Notebooks provide a unified environment for data science workflows, combining the flexibility of Colab Enterprise with the power of Agent Platform Workbench. These notebooks enable users to explore data, build models, and deploy solutions without switching between multiple tools. With seamless integration into Google Cloud services like BigQuery and Apache Spark, users can analyze large datasets directly within the notebook interface. The platform supports rapid prototyping and model development by offering scalable compute resources and AI-powered coding assistance. It allows teams to move from experimentation to production efficiently using end-to-end workflows. Fully managed infrastructure ensures scalability, cost optimization, and minimal operational overhead. Enterprise-grade security features such as single sign-on and access controls provide a safe environment for development.Starting Price: $10 per GB
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43
Prodigy
Explosion
Radically efficient machine teaching. An annotation tool powered by active learning. Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. You'll move faster, be more independent and ship far more successful projects. Prodigy brings together state-of-the-art insights from machine learning and user experience. With its continuous active learning system, you're only asked to annotate examples the model does not already know the answer to. The web application is powerful, extensible and follows modern UX principles. The secret is very simple: it's designed to help you focus on one decision at a time and keep you clicking – like Tinder for data.Starting Price: $490 one-time fee -
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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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Telmai
Telmai
A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts. -
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Supervizor
Supervizor
With unparalleled anomaly detection, Supervizor’s continuous quality assurance helps error-proof your accounting and curb fraud. We are on a mission to help corporations produce reliable financial data. Supervizor provides corporations with unique anomaly detection capabilities to identify several types of errors (including accounting ones) and fraud attempts. Processes and people systematically produce errors, and organizations encounter a growing number of fraud schemes. Connect your ERP and let Supervizor consolidate journal entries using our library of millions of accounting patterns. Continuously run ready-to-use checks across multiple areas. Collaborate between teams to oversee financial data quality across subsidiaries, systems, departments, and geographies. Automatically extracts and prepares your data to avoid spending time gathering, scrubbing, and formatting manually. Identifies and prioritizes your riskiest findings to investigate, intelligently minimizing false positives. -
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FactoryTalk Analytics
Rockwell Automation
FactoryTalk® Analytics™ provides industrial manufacturing practitioners with a complete spectrum of descriptive to prescriptive analytics solutions for achieving business outcomes such as overall equipment effectiveness (OEE) improvement, downtime reduction, and quality or process improvement. Customers benefit from a full-service customer journey—from setting up a solid industrial data management foundation to single-pane-of-glass views of operations; collaborative data mashups to building and deploying self-service machine learning or analytical models at the controller, edge or in the cloud. With visual tools, the ability to put data science in the hands of domain experts, and innovative analytical templates to drive proven results, the entire machine learning workflow is supported from data to value for addressing predictive maintenance, anomaly detection, and model process control use cases. -
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Anaconda
Anaconda
Empowering the enterprise to do real data science at speed and scale with a full-featured machine learning platform. Spend less time managing tools and infrastructure, so you can focus on building machine learning applications that move your business forward. Anaconda Enterprise takes the headache out of ML operations, puts open-source innovation at your fingertips, and provides the foundation for serious data science and machine learning production without locking you into specific models, templates, or workflows. Software developers and data scientists can work together with AE to build, test, debug, and deploy models using their preferred languages and tools. AE provides access to both notebooks and IDEs so developers and data scientists can work together more efficiently. They can also choose from example projects and preconfigured projects. AE projects are automatically containerized so they can be moved between environments with ease. -
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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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Amazon EC2 Trn1 Instances
Amazon
Amazon Elastic Compute Cloud (EC2) Trn1 instances, powered by AWS Trainium chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and latent diffusion models. Trn1 instances offer up to 50% cost-to-train savings over other comparable Amazon EC2 instances. You can use Trn1 instances to train 100B+ parameter DL and generative AI models across a broad set of applications, such as text summarization, code generation, question answering, image and video generation, recommendation, and fraud detection. The AWS Neuron SDK helps developers train models on AWS Trainium (and deploy models on the AWS Inferentia chips). It integrates natively with frameworks such as PyTorch and TensorFlow so that you can continue using your existing code and workflows to train models on Trn1 instances.Starting Price: $1.34 per hour
