Alternatives to Robust Intelligence
Compare Robust Intelligence alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Robust Intelligence in 2026. Compare features, ratings, user reviews, pricing, and more from Robust Intelligence competitors and alternatives in order to make an informed decision for your business.
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1
ReliaSoft
Hottinger Brüel & Kjær (HBK)
ReliaSoft software provides a powerful range of reliability software solutions to facilitate a comprehensive set of reliability engineering modeling and analysis techniques. We are the leading reliability solution provider for product test, design, maintenance strategy and optimization. Our products support a wide range of reliability and maintainability analysis techniques, such as life data analysis, accelerated life testing, system modelling and RAM analysis, reliability growth, FRACAS, FMEA and RCM analysis to meet and improve reliability of your products, processes and optimize maintenance planning. -
2
NeoLoad
Tricentis
Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance. -
3
DC-E DigitalClone for Engineering
Sentient Science Corporation
DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2). DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.Starting Price: Upon request -
4
Zebrunner
Zebrunner Inc.
Zebrunner is an AI-powered platform that unifies manual & automated testing, empowering QA teams to collaborate effortlessly. By leveraging AI, Zebrunner Testing Platform optimizes and speeds up the entire testing process, from generating & autocompleting test cases to prioritizing failures and providing real-time insights. Zebrunner Test Case Management offers a complete solution for managing manual test cases. With features like split-screen navigation, drag-and-drop editing, and customizable layouts, it simplifies test organization. Testers gain real-time insights, quickly addressing blockers or failures. Customizable fields and filters ensure testing aligns with specific project needs. Zebrunner Automation Reporting provides advanced reporting & analysis for automated testing. Teams can monitor progress, analyze failures, and access logs and videos. By visualizing trends and metrics, Zebrunner helps teams identify areas for improvement and optimize their testing processes.Starting Price: $0 -
5
Boozang
Boozang
Build. Test. Automate. Empower your whole team to build and maintain automated tests, not just developers. Meet your testing demands fast. Get full test coverage in days, not months. Our natural-language tests are extremely stable to code changes. When tests break our AI will repair it in minutes. Go Agile/DevOps by setting up Continuous Testing. Push features in production the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira)Starting Price: $249 USD / month / user -
6
Mindgard
Mindgard
Mindgard is the leader in ai red teaming, helping enterprises identify, assess, and mitigate real-world security risks across AI models, agents, and applications. Founded on pioneering research in AI security, Mindgard was built on the insight that traditional application security approaches cannot protect systems that are probabilistic, adaptive, and deeply embedded into business workflows. As organizations deploy GenAI and agentic systems at scale, risk increasingly emerges from how AI behaves, what it connects to, and how attackers can manipulate those interactions. Mindgard addresses this challenge with an attacker-aligned approach that mirrors how real adversaries perform reconnaissance, map attack surfaces, exploit system behavior, and pivot through tools, data, and infrastructure. Rather than testing models in isolation, Mindgard evaluates full AI systems in context to surface vulnerabilities with real security impact.Starting Price: Free -
7
Shield34
Shield34
Shield34 is the ONLY web automation framework that: Is 100% Selenium compatible! Continue working with your existing Selenium scripts. Create new scripts using Selenium API. Addresses the Selenium flaky tests issues by using self healing, smart defenses, error recovery mechanisms and dynamic element locators. Provides AI based anomaly detection and root cause analysis to quickly analyze failed tests and see what changed and what caused the failure. Eliminate Flaky Tests. Flaky tests are a huge pain! Shield34 adds defense-and-recovery AI algorithms to every Selenium command, including dynamic element locator, eliminating false positive results, driving self-healing and maintenance-free testing. Get Real-time Root Cause Analysis Using AI algorithms, Shield34 is automatically pinpointing the root cause of every test failure – reducing the overhead of debugging and reproducing failed tests. Enjoy a ‘Smarter Selenium’. Integrate automatically with your -
8
CloudBeat
CloudBeat
Create, run and analyze tests without any hassle. Empowering dev, testing, product and DevOps teams to release a superior quality product in the shortest time possible. Utilize your tests in production. Monitor business transactions. DevOps & developer-friendly, cross-region, device, and browser. Monitor user experience & SLA, detailed performance breakdown. Smart root-cause analysis, instant alerts & daily reports, SaaS or on-premise. CloudBeat is a centralized continuous quality platform that helps create, execute and analyze unit, API, integration and end-to-end tests in a DevOps environment. CloudBeat seamlessly integrates with the most popular testing frameworks and CI tools, allowing to run large test sets with out-of-the-box parallelization, test lab management, and failure root cause analysis. Our mission is to help you to increase your software quality, reduce testing and development time and eventually improve your customer satisfaction. -
9
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 -
10
ReportPortal
ReportPortal
Investigate the failure reasons immediately after the test is completed. Configure simple and understandable reports for your teams. Analyze the failure reasons by auto-analyzer based on machine learning. Coalescing test results across various platforms, frameworks, and programming languages and providing actionable insights. Leveraging ML algorithms to identify patterns in the test results, detect the root cause of failures, and predict future test results. Assisting the manual review of test logs and new failure patterns for the most recent test executions. Facilitating automated decision-making for release pipelines based on specified testing criteria and results. Visualizing test results in an easy-to-understand way, allowing to monitor test trends, detect patterns, generate insights, and make informed business decisions. Check up your product health and make release decisions automatically with Quality Gates. -
11
Materials Zone
Materials Zone
From materials data to better products, faster! Accelerates R&D, scale-up, and optimizes manufacturing QC and supply chain decisions. Discover new materials, use ML guidance to forecast outcomes, and achieve faster and improved results. Build a model on your way to production. Test the model's limits behind your products to design cost-efficient and robust production lines. Use models to predict future failures based on supplied materials informatics and production line parameters. The Materials Zone platform aggregates data from independent entities, materials providers, factories, or manufacturing facilities, communicating between them through a secured platform. By using machine learning (ML) algorithms on your experimental data, you can discover new materials with desired properties, generate ‘recipes’ for materials synthesis, build tools to analyze unique measurements automatically, and retrieve insights. -
12
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. -
13
MosaicML
MosaicML
Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved. -
14
Giskard
Giskard
Giskard provides interfaces for AI & Business teams to evaluate and test ML models through automated tests and collaborative feedback from all stakeholders. Giskard speeds up teamwork to validate ML models and gives you peace of mind to eliminate risks of regression, drift, and bias before deploying ML models to production.Starting Price: $0 -
15
ATA
ATA
ATA is an AI-powered API management platform that centralizes design, testing, governance, documentation, and lifecycle workflows into a single intelligent workspace to help teams design, build, test, maintain, and govern APIs with higher quality and collaboration. It keeps API code, design documentation, specifications, test cases, and release notes in sync, reducing manual effort and drift while supporting OpenAPI specs, mock servers for frontend progress without backend readiness, and scheduled API monitoring to detect slow responses, timeouts, or failures early. It includes a Developer Studio for design-first OpenAPI creation and version control, E2E Test Automation with AI-generated robustness and security tests, mock servers, chained API workflows, and UI automation testing, and a Documentation Portal that centralizes API docs with multi-editor support, version management, secure access control, and auto-linked live endpoints. -
16
Availability Workbench
Isograph
Powerful simulation software for improving asset performance. Maintenance and spares optimization, availability studies, reliability-centered maintenance, life cycle cost evaluations, and accelerated life testing all in one integrated suite. Connect directly to your SAP or MAXIMO system and analyze your data. Identify critical equipment, and automatically build failure models using Weibull analysis. Optimize your maintenance plans using simulation and reduce costs. Predict system availability and optimize your design. Simulation of multiple-product capacity with target cost penalties. Model system dependencies with RBDs or fault trees. Build in operational rules for accurate performance simulation. Determine the most effective spare holding policy. Predict life cycle costs and analyze your test data for stressed failures in the ALT module. Identify plant performance trends in the process reliability module. -
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aspenONE Asset Performance Management (APM)
Aspen Technology
Get accurate failure alerts weeks or months in advance with real-time data and predictive analytics. Leverage the combination of prescriptive maintenance, root cause analysis, RAM analysis and more to address issues at the equipment, process and system levels. Quickly deploy automated Asset Performance Management solutions through low-touch machine learning to predict asset failures and reduce downtime — plant-wide, system-wide or across multiple locations. -
18
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 -
19
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
20
Aporia
Aporia
Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution. -
21
Openlayer
Openlayer
Onboard your data and models to Openlayer and collaborate with the whole team to align expectations surrounding quality and performance. Breeze through the whys behind failed goals to solve them efficiently. The information to diagnose the root cause of issues is at your fingertips. Generate more data that looks like the subpopulation and retrain the model. Test new commits against your goals to ensure systematic progress without regressions. Compare versions side-by-side to make informed decisions and ship with confidence. Save engineering time by rapidly figuring out exactly what’s driving model performance. Find the most direct paths to improving your model. Know the exact data needed to boost model performance and focus on cultivating high-quality and representative datasets. -
22
walrus.ai
walrus.ai
We let humans do what they do best, and machines do what they do best. The walrus.ai CLI tool is the easiest way to run end-to-end tests for your application. It supports defining tests either inline with the call, or in specified YML files. Send us your test from our dashboard or with the walrus.ai CLI. We translate your instructions into an automated test model. Results are available in our dashboard, through the CLI, or via one of our integrations. We monitor every model run to look for application changes or false failures. Re-verification of your test ensures you never receive false positives or false negatives. Test your most complicated user flows with plain English — we’ll handle the rest. -
23
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 -
24
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. -
25
Deductive AI
Deductive AI
Deductive AI is a cutting-edge platform that redefines how organizations handle complex system failures. By connecting your entire codebase with telemetry data, encompassing metrics, events, logs, and traces, Deductive AI empowers teams to pinpoint the root cause of issues with unprecedented precision and speed. It streamlines the process of debugging, significantly reducing downtime and improving overall system reliability. Deductive AI integrates with your codebase and observability tools, creating a unified knowledge graph powered by a code-aware reasoning engine to diagnose root causes like an expert engineer. It builds a knowledge graph with millions of nodes in seconds, uncovering deep relationships between codebase and telemetry data. It orchestrates hundreds of specialized AI agents to search, discover, and analyze breadcrumbs of root cause spread across all connected sources. -
26
Langtail
Langtail
Langtail is a cloud-based application development tool designed to help companies debug, test, deploy, and monitor LLM-powered apps with ease. The platform offers a no-code playground for debugging prompts, fine-tuning model parameters, and running LLM tests to prevent issues when models or prompts change. Langtail specializes in LLM testing, including chatbot testing and ensuring robust AI LLM test prompts. With its comprehensive features, Langtail enables teams to: • Test LLM models thoroughly to catch potential issues before they affect production environments. • Deploy prompts as API endpoints for seamless integration. • Monitor model performance in production to ensure consistent outcomes. • Use advanced AI firewall capabilities to safeguard and control AI interactions. Langtail is the ideal solution for teams looking to ensure the quality, stability, and security of their LLM and AI-powered applications.Starting Price: $99/month/unlimited users -
27
Cerebrium
Cerebrium
Deploy all major ML frameworks such as Pytorch, Onnx, XGBoost etc with 1 line of code. Don't have your own models? Deploy our prebuilt models that have been optimised to run with sub-second latency. Fine-tune smaller models on particular tasks in order to decrease costs and latency while increasing performance. It takes just a few lines of code and don't worry about infrastructure, we got it. Integrate with top ML observability platforms in order to be alerted about feature or prediction drift, compare model versions and resolve issues quickly. Discover the root causes for prediction and feature drift to resolve degraded model performance. Understand which features are contributing most to the performance of your model.Starting Price: $ 0.00055 per second -
28
Tango
24/7 Systems
Tango™ Reliability Information Management standardizes, integrates, communicates, and analyzes a facility's reliability information to creating accountability, insuring that proper procedures are taken to repair or eliminate failures and reduce costs. Tango™ provides a variety of services to customize a solution for your facility. Equipment Management, Condition Management, RoundsLogging, Repair Tracker, and Oilography provide the best possible coverage to manage your Reliability Information. Some of the many features provided by Tango™ include: Lifecycle Tracking, Condition Management Programs, Integrated Condition Reports, Task Management, Equipment Management Programs, Physical Inspections, Vibration Analysis, Root Cause Failure Analysis, Repair Analysis, Repair History, Asset & Warranty Information, Oil Analysis, Oil Sample Management, Test Result Sharing, and Repair/Test Status. -
29
Ansys PathFinder
Ansys
Ansys PathFinder-SC is a high-capacity solution to help you plan, verify and sign-off IP and full-chip SoC designs for integrity and robustness against electrostatic discharge (ESD). Ansys PathFinder-SC identifies and isolates the root causes of design issues that can cause chip failure from charged-device model (CDM), human body model (HBM), or other ESD events. It’s high-capacity, cloud-native architecture can enlist thousands of compute cores for fast full-chip turnaround. PathFinder-SC is certified by major foundries for current density checks and ESD sign-off. PathFinder-SC’s integrated data modeling, extraction and transient simulation engine is an end-to end solution for ESD verification. The single-pass use model reads industry-standard design formats, sets up ESD rules, extracts the RCs for the power network, and performs ESD simulations to analyze root causes and provide fix and optimization feedback, all within a single tool. -
30
BrowsingBee
BrowsingBee
BrowsingBee is an AI-powered browser testing platform that transforms automated testing by enabling users to write tests in plain English while delivering resilience to UI changes through adaptive, self-healing test scripts. Through an intuitive interface, it generates robust tests that automatically adjust when elements change, logs each run via video recordings for precise debugging, and employs AI-driven analysis to proactively detect bugs before they reach production. It supports a range of testing needs, from regression and user-journey workflows (e.g., signup to purchase flows) to cross-browser compatibility across Chrome, Firefox, Safari, and Edge, as well as performance metrics like page load and API response times. Tests can be scheduled for 24/7 application monitoring, with smart notifications via Slack, email, or webhooks to alert teams of failures.Starting Price: $24.2 per month -
31
Boofuzz
Boofuzz
Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fixes, Boofuzz aims for extensibility. Like Sulley, Boofuzzincorporates all the critical elements of a fuzzer like easy and quick data generation, instrumentation and failure detection, target reset after failure, and recording of test data. Much easier install experience and support for arbitrary communications mediums. Built-in support for serial fuzzing, ethernet- and IP-layer, UDP broadcast. Better recording of test data, consistent, thorough, and clear. Test result CSV export and extensible instrumentation/failure detection. Boofuzz installs as a Python library used to build fuzzer scripts. It is strongly recommended to set up Boofuzz in a virtual environment.Starting Price: Free -
32
Ansys LS-DYNA
Ansys
Ansys LS-DYNA is the industry-leading explicit simulation software used for applications like drop tests, impact and penetration, smashes and crashes, occupant safety, and more. Ansys LS-DYNA is the most used explicit simulation program in the world and is capable of simulating the response of materials to short periods of severe loading. Its many elements, contact formulations, material models and other controls can be used to simulate complex models with control over all the details of the problem. LS-DYNA delivers a diverse array of analyses with extremely fast and efficient parallelization. Engineers can tackle simulations involving material failure and look at how the failure progresses through a part or through a system. Models with large amounts of parts or surfaces interacting with each other are also easily handled, and the interactions and load passing between complex behaviors are modeled accurately. -
33
QASolve
QASolve
QASolve.ai is an AI-powered, no-code platform designed to deliver high-velocity application quality assurance with minimal human effort. It claims the capability to generate 80%+ test automation in just 1 week, thanks to its AI model that creates tests without requiring source code, specs, or human scripting. It applies self-healing technology to reduce flaky tests and supports massively parallel execution across multiple platforms and form factors, allowing teams to run comprehensive test suites fast. Users register their application URL and roles, then QASolve’s “Discovery” AI agents analyze user journeys, workflows, and relations, generate test cases and test data, integrate into CI/CD pipelines via APIs, and provide dashboards with real-time insights, failure analysis, and maintenance of tests across releases. It also offers export of tests to frameworks like Playwright or Selenium to avoid vendor lock-in. -
34
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. -
35
Perfecto
Perforce
Perfecto Is the Leading Testing Platform for Web & Mobile Apps. We believe your apps should perform no matter what. With Perfecto’s cloud-based solution, you can boost test coverage for fewer escaped defects while accelerating testing. From creation to execution and analysis, Perfecto has a proven, unified solution for your web and mobile testing needs. Test in your CI instead of the end of the cycle, and identify real failures quickly with false-negative filtering. Align platform and scenario test coverage with your actual users. Test failure analysis provides real test failure reasons. Heatmaps, test reports, and CI dashboards give you fast feedback. Get the most comprehensive rich test artifacts on the market, like crash logs, screenshots, and HAR files. Get visual validation for a side-by-side comparison across platforms. Eliminate bug reproduction time. Fix defects from your IDE. Integrate fully with Jira for full test management.Starting Price: $99.00/month -
36
Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
37
Launchable
Launchable
You can have the best developers in the world, but every test is making them slower. 80% of your software tests are pointless. The problem is you don't know which 80%. We find the right 20% using your data so that you can ship faster. We have shrink-wrapped predictive test selection, a machine learning-based approach being used at companies like Facebook so that it can be used by any company. We support multiple languages, test runners, and CI systems. Just bring Git to the table. Launchable uses machine learning to analyze your test failures and source code. It doesn't rely on code syntax analysis. This means it's trivial for Launchable to add support for almost any file-based programming language. It also means we can scale across teams and projects with different languages and tools. Out of the box, we currently support Python, Ruby, Java, JavaScript, Go, C, and C++, and we regularly add support for new languages. -
38
Assessio
Assessio
Measuring and Assessing individual Potential, is a personality test based on the Five Factor Model of personality, which is the most robust and empirically documented measurement model of personality. Map gives you an objective and unbiased measure of personality in selection. With built-in suitability scores, Map gives the opportunity to use a data-driven approach to leadership selection. The test can be used for screening and selection to predicts workplace behavior, both at the managerial and the co-worker level. Other areas are onboarding assessments, leadership development and career counseling. Are you going to recruit? Or are you curious about how our unique testing tools can help your organization in different ways? MAP is a test that measures how a person usually is. Based on a MAP result, the MAP-X tool can be used to measure the extreme aspects of the personality, such as risk behaviors that appear under stress, pressure and fatigue. -
39
LINK Services
Green Arrow Labs
Test specifications, supplier communications, test failures, lab notifications, corrective actions, performance metrics – all at your fingertips. LINK Services is a Product Compliance Testing program management application focused on product and material testing and conformity, with tools for supply chain partners to organize and communicate tasks and analytics associated with product and material testing programs and specifications, test ordering, test results and lab reporting, corrective actions, product certificates, bills of materials, and related product quality management activities. Bridging the gap between brand/retailer enterprise systems (e.g., PLM, ERP/SAP), suppliers, and analytical testing laboratories (in-house or third-party), LINK harmonizes and centralizes the data into a single, lab-agnostic system. -
40
Traversal
Traversal
Traversal is an ambient AI Site Reliability Engineering (SRE) agent that operates 24/7 to autonomously troubleshoot, fix, and even prevent production incidents. It parses logs, metrics, traces, and your codebase to narrow down root causes of errors or latency, surfacing the blast radius, key bottleneck services, and candidate root causes with supporting evidence within minutes. Powered by advances in causal machine learning, large language model reasoning, and AI agents, Traversal catches issues before alerts fire and resolves them automatically. Designed for critical infrastructure and complex organizations, it supports heterogeneous data, bring-your-own models, and optional on-premises deployment. Traversal connects easily to existing systems with read-only access, no agents or sidecars, and no writes to production, ensuring privacy and control over data. By integrating seamlessly into your observability stack, Traversal reduces time to resolution, minimizes downtime, and more. -
41
Gauge
ThoughtWorks
Gauge is a free and open source framework for writing and running acceptance tests. Gauge tests are in Markdown which makes writing and maintaining tests easier. Reuse specifications and robust refactoring to reduce duplication. Less code and readable specifications means less time spent on maintaining the test suite. Gauge works with multiple languages, CI/CD tools and automation drivers. You don't have to learn a new language or tool to get your test automation tool to work for you. Gauge has a robust plugin architecture and plugin ecosystem. You can easily extend Gauge to add support for IDEs, drivers, datasources, text execution events or your favorite programming language. Don’t waste time going through stacktraces. Gauge takes a screenshot on a test failure allowing you to get a visible picture of what went wrong. Reports are available across multiple formats (XML, JSON, HTML).Starting Price: Free -
42
ApiOnCloud
App Api-On-Cloud, LLC
Our innovative tool redefines API development and testing by making it simple, visual, and accessible to everyone. Say goodbye to complex commands and manual coding—build mock REST API endpoints quickly and easily with our intuitive graphical user interface. Why Choose Our Mock API Tool? No Coding Required: Create APIs visually, making it perfect for users of all skill levels. Powerful Automated Testing: Detect failure points in the code consuming your APIs with built-in automated tests. Comprehensive Simulations: Test and simulate a variety of real-world scenarios to ensure robust API behavior. Whether you’re a developer, tester, or someone new to APIs, our tool simplifies the process, saving time and effort while improving the quality and robustness of your API based integrations.Starting Price: $0 -
43
Create ML
Apple
Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models. Train multiple models using different datasets, all in a single project. Preview your model performance using Continuity with your iPhone camera and microphone on your Mac, or drop in sample data. Pause, save, resume, and extend your training process. Interactively learn how your model performs on test data from your evaluation set. Explore key metrics and their connections to specific examples to help identify challenging use cases, further investments in data collection, and opportunities to help improve model quality. Use an external graphics processing unit with your Mac for even better model training performance. Train models blazingly fast right on your Mac while taking advantage of CPU and GPU. Create ML has a variety of model types to choose from. -
44
Atla
Atla
Atla is the agent observability and evaluation platform that dives deeper to help you find and fix AI agent failures. It provides real‑time visibility into every thought, tool call, and interaction so you can trace each agent run, understand step‑level errors, and identify root causes of failures. Atla automatically surfaces recurring issues across thousands of traces, stops you from manually combing through logs, and delivers specific, actionable suggestions for improvement based on detected error patterns. You can experiment with models and prompts side by side to compare performance, implement recommended fixes, and measure how changes affect completion rates. Individual traces are summarized into clean, readable narratives for granular inspection, while aggregated patterns give you clarity on systemic problems rather than isolated bugs. Designed to integrate with tools you already use, OpenAI, LangChain, Autogen AI, Pydantic AI, and more. -
45
SimWise 4D
Design Simulation Technologies
Are you looking for an engineering tool that will resolve design problems, reduce failures and warranty costs, turn around designs faster, and work either with your existing Windows-based 3D CAD system or as a standalone application? SimWise 4D is for design and engineering professionals developing products involving assemblies of 3D parts. By simulating your assemblies in this unique virtual environment, you will produce more creative, robust designs and reduce cycle time. With SimWise 4D, you can simulate the rigid body dynamics of an assembly, size components, determine part interferences and collision response, identify stresses induced by motion, produce physics-based animations, and test your control systems. Professional Engineers use our Working Model 2D, Dynamic Designer Motion, and SimWise 4D products to build virtual prototypes of their mechanical designs and use these prototypes to evaluate performance.Starting Price: $2000.00/year/user -
46
XCTest
Apple
Create and run unit tests, performance tests, and UI tests for your Xcode project. Use the XCTest framework to write unit tests for your Xcode projects that integrate seamlessly with Xcode's testing workflow. Tests assert that certain conditions are satisfied during code execution, and record test failures (with optional messages) if those conditions aren’t satisfied. Tests can also measure the performance of blocks of code to check for performance regressions and can interact with an application's UI to validate user interaction flows. A test method is a small, self-contained method that tests a specific part of your code. A test case is a group of related test methods. Add test cases and test methods to a test target to confirm that your code performs as expected. The primary class for defining test cases, test methods, and performance tests. An abstract base class for creating, managing, and executing tests.Starting Price: Free -
47
IQM Studio
Critical Logic
IQM Studio is the technology at the heart of our Integrated Quality Management process that's comprised of our IQM Modeling and IQM Scripting features. Use IQM Modeling's powerful test generation algorithm to automate test design in our Cause Effect Models (CEM) – taking the guesswork out of determining the right amount of testing. By generating test cases from a model of your system, you can spend less time writing tests and have the confidence that you are executing the right number of tests to validate system behavior. Use IQM Scripting in a standalone fashion to author and generate automation scripts built from keywords. Or couple both features using IQM Studio and generate automation scripts directly from your model. In either case, IQM Scripting makes it possible for every project member to make automation scripts, including non-programmer resources like BA’s, SME’s, and test analysts.Starting Price: $159/month billed annually -
48
Test Evolve
Test Evolve
Test Evolve is a powerful reporting solution designed to give product owners and senior management access to detailed information on the real-time performance of their products. Test Evolve allows users to customize up to 8 different dashboards, providing an at-a-glance summary of the operation's performance. Users can easily switch between different levels of detail as needed, and quickly drilling down into important insights regarding test failure. At the runtime view, all failing tests are highlighted and provide direct links to investigate further with full stack traces and additional failure details. Streamline the bug diagnosis process with Test Evolve and make sure that time-critical issues don't slip through the cracks.Starting Price: $79 per month -
49
OPUS
VROC
OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. Without any programming or coding experience teams can analyze their data, predict future performance, identify opportunities to reduce power consumption, improve productivity, and make adjustments to settings which can drastically improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis into individual components so you can focus your efforts. Improve safety, compliance and environmental outcomes through artificial intelligence predictive insights, allowing you to plan interventions and make informed business decisions. With rapid deployment & AI model results in just minutes, you can unleash the power of your operational data and experience ROI. Optimize your entire facility, plant or worksite. -
50
Assertible
Assertible
The easiest way to test and monitor your web services. Gain confidence in critical infrastructure by using Assertible's automated QA tools to test and monitor your web services across deployments and environments. Assertible provides a reliable first line of defense against web service failures by providing simple and powerful assertions to test and monitor your APIs and websites. Lower the number of false positives in your automated QA tests and be confident your APIs are healthy. Keeping your tests up to date can be a burden, but with Assertible you can automatically sync your API tests with the latest changes in your specification. As you add and update responses, parameters, headers, and more, updating your Assertible API tests is as easy as clicking sync. Assertible integrates with the tools you're already using and lets you do things like execute your web app tests when you push code to GitHub, or send alerts to Slack if failures happen.Starting Price: $25 per month
