Alternatives to Satim
Compare Satim alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Satim in 2026. Compare features, ratings, user reviews, pricing, and more from Satim competitors and alternatives in order to make an informed decision for your business.
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Google Cloud Vision AI
Google
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog. -
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Amazon Rekognition
Amazon
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. -
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MAK ONE
MAK Technologies
A powerful and flexible Computer Generated Forces (CGF) platform to fill your synthetic environments with urban, battlefield, maritime, and airspace activity. VR-Engage lets users play the role of a first-person human character; a ground vehicle driver, gunner, or commander; or the pilot of a fixed-wing aircraft or helicopter. Game-like visual quality in a high-performance image generator. Designed by modeling & simulation experts for training and simulation projects. Physically accurate sensors, model the physics of light in any wavelength to represent electro-optical, night-vision, and infrared sensors. Applications that let you model, simulate, visualize, and participate in whole-earth multi-domain simulations. Multi-domain computer-generated forces. Multi-role virtual simulator. Image generator & battlefield visualization. EO, IR, and NVG imaging sensors. Synthetic aperture radar simulation. -
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SKY ENGINE AI
SKY ENGINE AI
SKY ENGINE AI is a fully managed 3D Generative AI platform that transforms how enterprises build Vision AI by producing high-quality synthetic data at scale. It replaces difficult, expensive real-world data collection with physics-accurate simulation, multispectrum rendering, and automated ground-truth generation. The platform integrates a synthetic data engine, domain adaptation tools, sensor simulators, and deep learning pipelines into a single environment. Teams can test hypotheses, capture rare edge cases, and iterate datasets rapidly using advanced randomization, GAN post-processing, and 3D generative blueprints. With GPU-integrated development tools, distributed rendering, and full cloud resource management, SKY ENGINE AI eliminates workflow complexity and accelerates AI development. The result is faster model training, significantly lower costs, and highly reliable Vision AI across industries. -
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OneView
OneView
Working exclusively with real data creates significant challenges for machine learning model training. Synthetic data enables limitless machine learning model training, addressing the drawbacks and challenges of real data. Boost the performance of your geospatial analytics by creating the imagery you need. Customizable satellite, drone, and aerial imagery. Create scenarios, change object ratios, and adjust imaging parameters quickly and iteratively. Any rare objects or occurrences can be created. The resulting datasets are fully-annotated, error-free, and ready for training. The OneView simulation engine creates 3D worlds as the base for synthetic satellite and aerial images, layered with multiple randomization factors, filters, and variation parameters. The synthetic images replace real data for remote sensing systems in machine learning model training. They achieve superior interpretation results, especially in cases with limited coverage or poor-quality data. -
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FORESTER
SRC
FORESTER is a one-of-a-kind technology that provides warfighters with real-time, all-weather, day/night target detection and tracking capabilities for actionable intelligence. The system was designed and developed by SRC under sponsorship from the Defense Advanced Research Projects Agency (DARPA), the U.S. Army, and the United States Special Operations Command (USSOCOM). It has been successfully tested for use on manned or unmanned helicopters. Stand-off, persistent, wide-area XXXXX surveillance. All-weather, day/night detection. Ultra High-Frequency (UHF) Ground Moving Target Indicator (GMTI)/Airborne Moving Target Indicator (AMTI)/Synthetic Aperture Radar (SAR) capability. Real-time, onboard processing. 360-degree surveillance coverage with electronic beam steering to search a 90-degree sector. The Foliage Penetration Reconnaissance, Surveillance, Tracking and Engagement Radar (FORESTER) is an airborne radar system that provides stand-off, persistent, wide-area surveillance. -
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eCognition Developer
Amigo Optima Software Solutions
eCognition Developer is a powerful development environment for object-based image analysis. It is used in earth sciences to develop rule sets (or applications for eCognition Architect) for the automatic analysis of remote sensing data. eCognition Developer can be applied for all common remote sensing tasks such as vegetation mapping, feature extraction, change detection and object recognition. The object-based approach facilitates analysis of all common data sources, such as medium to high-resolution satellite data, high to very high-resolution aerial photography, lidar, radar and even hyperspectral data. eCognition Developer offers a comprehensive collection of algorithms tailored to the different aspects of image analysis. The user can choose from a variety of segmentation algorithms such as multiresolution segmentation, quadtree or chessboard. -
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AlphaEarth Foundations
Google DeepMind
AlphaEarth Foundations is a new AI model from DeepMind that acts like a “virtual satellite” by integrating massive, heterogeneous Earth observation data, optical and radar imagery, 3D laser mapping, climate simulations, and more, into a unified, highly compact embedding for land and coastal areas, enabling consistent, on-demand planetary-scale mapping with far less storage overhead than prior systems. It fuses disparate streams to solve data overload and inconsistency, producing summaries that are 16 times smaller than comparable methods while delivering better accuracy (about 24% lower error in tested tasks) even where labeled data is sparse. Annual embedding collections are published as the satellite embedding dataset in Google Earth Engine and are already being applied by institutions to classify unmapped ecosystems, monitor agricultural and environmental change. -
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Deep Block
Omnis Labs
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).Starting Price: $10 per month -
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WaveFarer
Remcom
WaveFarer is a high-fidelity radar simulator that accounts for multipath and scattering from structures and vehicles in the immediate environment of a radar system as well as key atmospheric and scattering effects for frequencies up to and beyond 100 GHz. Applications include simulation of automotive drive scenarios, indoor sensors, and far-field radar cross section (RCS). WaveFarer’s features enable fast and accurate analysis of scenarios with radars in close proximity to structures, targets, and other features in a simulated environment. WaveFarer is designed to support all applications relevant to the simulation and analysis of a radar system. For automotive radar, this includes evaluating radar sensor placement and target returns within a simulated drive scenario environment. For surveillance radar applications, this includes analysis of target radar cross section (RCS) and the impact of materials on results. -
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RAIC
RAIC Labs
Build, train, and deploy models in minutes, not months, without human labeling. Find Anything, Fast Provide a single example object image to begin the process. RAIC will find similar objects in an unlabeled dataset. The results are then contextually associated with the original starting image so that you can improve the AI by identifying the best results through an intuitive human nudge tool. Identify and Classify Categorize data based on whatever you need to detect — that might be one thing, or many different things. Once contextually associated, RAIC lets you easily group and identify items into categories that will help feed training. Quick Train or Deep Train RAIC then builds you a detection or classification model. You can decide between Quick Train - for time-critical use cases or rapid prototyping - or Deep Train, a traditional, high-accuracy model for when time is less of a constraint. -
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XFdtd
Remcom
XFdtd is a full-wave 3D electromagnetic (EM) simulation software created by Remcom. This innovative and full-featured electromagnetic simulation solver provides high-performance computing options and simplifies the analysis of the most complex EM problems. XFdtd offers a wide range of applications that include microwave device design, antenna design and placement, radar and scattering, biomedical applications, automotive radar, waveguides, military and defense contracts, RFID, EMC/EMI, and more.Starting Price: $14750.00/one-time/user -
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Symage
Symage
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy. -
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Discover an open, scalable and modular virtual driving simulator that enables testing against a variety of objectives and performance requirements. Ansys VRXPERIENCE Driving Simulator Powered by SCANeR™ enables you to assemble scenarios, test software, consider vehicle dynamics and experience sensors within a virtual driving environment. It enables a fully virtual driving lab for analyzing performance results. VRXPERIENCE Driving Simulator offers an immersive simulated test-drive experience set within a representative world. Perform exhaustive safety assessments to drive millions of virtual miles in days and accelerate development by 1,000x compared to physical road-testing. As passenger automobiles become more digitalized and more autonomous, they require a wide range of advanced technologies that include sensors, such as cameras, radar and lidars, as well as embedded software supporting automated control systems.
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Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.
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Parallel Domain Replica Sim
Parallel Domain
Parallel Domain Replica Sim enables the creation of high-fidelity, fully annotated, simulation-ready environments from users’ own captured data (photos, videos, scans). With PD Replica, you can generate near-pixel-perfect reconstructions of real-world scenes, transforming them into virtual environments that preserve visual detail and realism. PD Sim provides a Python API through which perception, machine learning, and autonomy teams can configure and run large-scale test scenarios and simulate sensor inputs (camera, lidar, radar, etc.) in either open- or closed-loop mode. These simulated sensor feeds come with full annotations, so developers can test their perception systems under a wide variety of conditions, lighting, weather, object configurations, and edge cases, without needing to collect real-world data for every scenario. -
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Synthetic Users
Synthetic Users
Synthetic Users is an AI-enabled user research platform that uses advanced natural language processing and large language models to generate synthetic personas that mimic real human behavior with high “synthetic organic parity,” letting teams set research goals and run virtual qualitative and quantitative studies such as in-depth interviews, concept testing, problem exploration, custom scripts, or surveys in minutes rather than weeks. It creates personality profiles for each synthetic participant and uses a multi-agent architecture to simulate dynamic, context-aware conversations and decisions that uncover product insights, helping validate ideas, optimize user journeys, prioritize roadmaps, and explore behavior across diverse audiences; users can enrich simulations with their own proprietary data to increase relevance and control representation.Starting Price: $2 per month -
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Synetic
Synetic
Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks. -
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LTU Visual Search API
LTU Technologies
The integrated object and image processing solution. Because your trade and specific needs are unique, LTU delivers an integrated SaaS solution, open and configurable for visual recognition. This web service is a suite of object and image processing features that includes matching, color palette search and metadata search (coming soon). LTU offers a computer vision solution working without Deep Learning, thanks to the creation of a “unique signature” based on visual characteristics of the image or object. Access a suite of visual search functionalities in web service, open and configurable. This SaaS solution gives you access to our multiple proprietary algorithms, and can also integrate third-party technologies to operate a visual search specifically adapted to your needs. LTU offers a SaaS comparison and change detection solution that is highly configurable to operate tailored processing based on your use case. -
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SyntheticIQ
SyntheticIQ
SyntheticIQ is a synthetic intelligence research and strategy platform that helps organizations generate actionable insights by creating and studying virtual synthetic human populations (“Synths”) that mimic real-world target audiences for faster, cost-effective decision support. Users can build customizable Synth populations tailored to specific demographics, traits, and behaviors, then design dynamic studies and strategy simulations to test messaging, campaign performance, hypotheses, policies, and strategic choices with data that correlates closely to real-world responses. It includes tools like Synth Creator for defining target personas, IQ Study Builder for running interactive research simulations and surveys against Synth groups, and IQ Insights to compile results into detailed, easy-to-read reports that help refine tactics and optimize strategic decisions quickly. -
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Cogniflow
Cogniflow
Classify customer interactions, extract info from text or images, identify and count objects in images or video, or even transcribe audio. Just follow a few easy steps to train a custom model or use our pre-trained AI models ready to use. Connect any app or program to your AI models using an API-ready service, or use our add-ons for Excel or Google Sheets. Train and predict from text, image/video or audio. Full native support for Spanish, Portuguese and English. Add intention recognition to your conversations, detect emotions or let your bot reply from a question-answering system built using Cogniflow. Support tickets could be automatically classified from email. Reply and solve your customer problems better and faster. Transcribe your client calls to check for compliance, identify sentiment and highlight key parts of the conversation.Starting Price: $40 per month -
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POPJAM
POPJAM
POPJAM simulates your audience to discover the winning hooks—and generates variants (copy + creatives) tailored for each segment. Just a website URL is enough for POPJAM agents to deep research your product and competitive landscape, build the right target audience segments, craft synthetic but hyper-realistic personas with user behavior modeling and then generate hyper-personalized, high converting ads that speak to them. You can pre-test your ad creatives on these synthetic personas and iterate new variants based on the feedback. Preliminary Research: Context engineering of your brand and industry sets the winning foundation. Synthetic Personas: Buyer behavior modeling that matches your target audience segments. Simulation Feedback: Personas react to ads with detailed feedback to find the best angles. Variants & Iteration: Autonomous generation of high-converting ad variants at scale.Starting Price: $99 -
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NVIDIA Isaac Sim
NVIDIA
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.Starting Price: Free -
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Deepsona
Deepsona
Deepsona is an AI-powered market research platform that uses synthetic audience simulations to generate predictive consumer behaviour insights. Built on behavioural science and advanced AI modeling, the platform enables marketers, market researchers and product teams to evaluate commercial viability, test messaging strategies and assess market acceptance before launch. The platform combines large-scale persona generation, interaction modeling, and sentiment analysis into a unified simulation engine. Users can run concept tests, pricing experiments, and positioning evaluations that produce high-fidelity predictive data on consumer responses. Key capabilities include multi-trait synthetic AI personas, automated sentiment evaluation, and conversion likelihood modeling. Deepsona transforms traditional market research from retrospective analysis into forward-looking simulation, enabling faster validation cycles and data-driven go-to-market decisions.Starting Price: $79/month -
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Lucky Robots
Lucky Robots
Lucky Robots is a robotics-focused simulation platform that lets teams train, test, and refine AI models for robots entirely in high-fidelity virtual environments that mimic real-world physics, sensors, and interactions, enabling massive generation of synthetic training data and rapid iteration without physical robots or costly lab setups. It uses hyper-realistic scenes (e.g., kitchens, terrain) built on advanced simulation tech to create varied edge cases, generate millions of labeled episodes for scalable model learning, and accelerate development while reducing cost and safety risk. It supports natural language control in simulated scenarios, lets users bring their own robot models or choose from commercially available ones, and includes tools for collaboration, environment sharing, and training workflows via LuckyHub, helping developers push models toward real-world performance more efficiently.Starting Price: Free -
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Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
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MORAI
MORAI
MORAI offers a digital twin simulation platform that accelerates the development and testing of autonomous vehicles, urban air mobility, and maritime autonomous surface ships. Built with high-definition maps and a powerful physics engine, it bridges the gap between real-world and simulation test environments, providing all key elements for verifying autonomous systems, including autonomous driving, unmanned aerial vehicles, and unmanned ship systems. It provides a variety of sensor models, including cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users can generate complex and diverse test scenarios from real-world data, including log-based scenarios and edge case scenarios. MORAI's cloud simulation allows for safe, cost-effective, and scalable testing, enabling multiple simulations to run concurrently and evaluate different scenarios in parallel. -
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EVLib
Irida Labs
EV Lib is a complete embedded vision software library based on deep learning and AI with functionalities for people, vehicle and object detection, identification tracking and 3D pose estimation. -
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RoSi
Robotec.ai
RoSi is an end-to-end digital twin simulation platform that accelerates the development, training, and testing of robotics and automation systems, utilizing Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations and generating synthetic datasets. It is applied to both classic and AI-powered technologies. RoSi is offered as a SaaS or on-premise software product. Key benefits include support for multiple robots and systems, realistic real-time simulation, unmatched performance and cloud scalability, open and interoperable standards (ROS 2, O3DE), and AI integrations for synthetic datasets and embodied AI. RoSi for Mining is designed to meet the needs of modern mining. It is utilized by mining companies, providers of mining technologies, and OEMs working within the mining industry. RoSi mining harnesses the power of optimized digital twin simulation technologies and scalable architecture to develop, validate, and test mining systems with unmatched efficiency and accuracy. -
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Subconscious.ai
Subconscious.ai
Subconscious.ai is a causal market research platform that enables users to conduct experiments, simulate respondents, and analyze results equivalent to the most well-replicated human studies. The platform features a synthetic respondent engine with a population of 127 million digital twins, generated from data of 800 million human respondents and validated against a century of economics, psychology, and sociology experiments . Users can simulate full user journeys in seconds without integration, analyzing websites to identify key drivers transitioning users from awareness to purchase. The platform employs a cyclical approach, alternating between quantitative analysis, qualitative insights, and human validation, central to its RLHF strategy for developing a human-level language model . Subconscious.ai also offers data augmentation by generating synthetic consumers to enrich datasets, enhancing insights and decision-making capabilities. -
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NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
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Ultralytics
Ultralytics
Ultralytics offers a full-stack vision-AI platform built around its flagship YOLO model suite that enables teams to train, validate, and deploy computer-vision models with minimal friction. The platform allows you to drag and drop datasets, select from pre-built templates or fine-tune custom models, then export to a wide variety of formats for cloud, edge or mobile deployment. With support for tasks including object detection, instance segmentation, image classification, pose estimation and oriented bounding-box detection, Ultralytics’ models deliver high accuracy and efficiency and are optimized for both embedded devices and large-scale inference. The product also includes Ultralytics HUB, a web-based tool where users can upload their images/videos, train models online, preview results (even on a phone), collaborate with team members, and deploy via an inference API. -
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Hive Data
Hive
Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.Starting Price: $25 per 1,000 annotations -
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Focos
Bending Spoons Apps
Focos brings DSLR-like photography to your iPhone with big aperture and real bokeh effect, which most photographers have always desired. Portrait photo with depth data allows you to focus after shooting like hacker technology. Various diaphragms generate different bokeh spot effects. Professional options simulate the pro lens such as creamy, bilinear, swirl and so on. Creamy is the characteristic of good lens and makes the edge of bokeh spot softer. Bilinear is the shortcoming of some lens but can stoke spot. Swirly lens highlights the center object surrounded by swirly bokeh. With lighting tool, you can check the portrait picture in true 3D space, add lights and adjust color, brightness and so on and so forth. It is more powerful and flexible than portrait lighting which Apple provides.Starting Price: Free -
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Electric Twin
Electric Twin
Electric Twin is an AI-powered synthetic audience simulation platform that builds virtual populations from real data so teams can instantly predict how target consumers will think, behave, and respond to products, messages, campaigns, and strategic questions without running traditional surveys or panels. It combines large language models, machine learning, and social science theory to create detailed synthetic personas that mirror real-world audiences and can be queried to produce quick, distribution-accurate insights that match the statistical patterns of live research with high fidelity, often achieving accuracy comparable to conventional methods but in seconds instead of weeks. With tailored synthetic audiences, organizations can test copy, product ideas, campaigns, and market assumptions, iterate quickly across segments, explore reactions from different demographics, and accelerate understanding that would normally require costly, slow field research. -
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GenRocket
GenRocket
Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce. -
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Soflab G.A.L.L.
Soflab Technology Sp. z o.o.
The Soflab G.A.L.L. application is designed to anonymize sensitive data in non-production environments, enabling the generation of high-quality synthetic data that remains consistent with real data and supports reliable testing. At the same time, it ensures full protection of sensitive information, effectively preventing data leaks. Reduced data breach risk by replacing real data with artificial equivalents and detecting sensitive or erroneous records. Lower legal and financial exposure while protecting customer transactional data. Unified anonymization across non-production systems ensures a consistent data model and preserved production relationships. Synthetic data, generated from key production attributes, maintains statistical consistency for BI and AI. A central test data repository enables controlled reuse, lowers maintenance costs, accelerates deployments (up to 5 days), and supports simulation and reusable scenarios. -
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Anyverse
Anyverse
A flexible and accurate synthetic data generation platform. Craft the data you need for your perception system in minutes. Design scenarios for your use case with endless variations. Generate your datasets in the cloud. Anyverse offers a scalable synthetic data software platform to design, train, validate, or fine-tune your perception system. It provides unparalleled computing power in the cloud to generate all the data you need in a fraction of the time and cost compared with other real-world data workflows. Anyverse provides a modular platform that enables efficient scene definition and dataset production. Anyverse™ Studio is a standalone graphical interface application that manages all Anyverse functions, including scenario definition, variability settings, asset behaviors, dataset settings, and inspection. Data is stored in the cloud, and the Anyverse cloud engine is responsible for final scene generation, simulation, and rendering. -
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Gazebo
Gazebo
Gazebo is an open source robotics simulator that provides high-fidelity physics, rendering, and sensor models for developing and testing robot applications. It supports multiple physics engines, including ODE, Bullet, and Simbody, enabling accurate dynamics simulation. Gazebo offers advanced 3D graphics through rendering engines like OGRE v2, delivering realistic environments with high-quality lighting, shadows, and textures. It includes a wide array of sensors, such as laser range finders, 2D/3D cameras, IMUs, GPS, and more, with the ability to simulate sensor noise. Users can develop custom plugins for robot, sensor, and environment control, and interact with simulations via a plugin-based graphical interface powered by Gazebo GUI. Gazebo provides access to numerous robot models, including PR2, Pioneer2 DX, iRobot Create, and TurtleBot, and allows users to build new models using SDF.Starting Price: Free -
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PathWave System Design
Keysight Technologies
Go beyond math-based modeling with a complete RF-aware design workflow, plus decades of Keysight measurement science in RF instrumentation, ready for any system architect. PathWave System Design offers the most advanced prototyping and design platform for complex RF systems with faster simulation speed, near-circuit fidelity, libraries for radar, electronic warfare, satellite, 5G, and WiFi, plus enterprise integration with numerous partners. Statistical models for propagation and channels can only take your system designs so far. Dynamic kinematic modeling for radar, electronic warfare, satellite, 5G, and automotive are all possible with connections to tools such as STK by AGI, an Ansys Company. Designers of advanced cellular systems need trusted reference libraries that are based on Keysight measurement science. Researchers exploring the next generation of communications signals need a flexible platform for physical layer development and testing. -
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OnScale Solve
OnScale
OnScale is the first Cloud Engineering Simulation platform. It combines powerful multiphysics solver technology with the limitless compute power of cloud supercomputers. With OnScale, engineers can run massive numbers of full 3D multiphysics simulations in parallel to create true Digital Prototypes digital representations of physical high-tech devices that capture the complete behavior of a device over its operating envelope. With OnScale Solve we want to provide you with an awesome Cloud Engineering Simulation experience that’s easy, powerful, and gets the job done. OnScale Solve is built to run on public and private cloud supercomputers and includes a functional web-based UI, an API to efficiently integrate into any design workflow, scripting languages to fully customize engineering simulations, and plugins to enhance its modeling capabilities. OnScale Solve gives engineers the simulation capability necessary to synthetically generate data to train sophisticated AI/ML algorithms.Starting Price: $4 -
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Snowglobe
Snowglobe
Snowglobe is a high-fidelity simulation engine that helps AI teams test LLM applications at scale by simulating real-world user conversations before launch. It generates thousands of realistic, diverse dialogues by creating synthetic users with distinct goals and personalities that interact with your chatbot’s endpoints across varied scenarios, exposing blind spots, edge cases, and performance issues early. Snowglobe produces labeled outcomes so teams can evaluate behavior consistently, generate high-quality training data for fine-tuning, and iteratively improve model performance. Designed for reliability work, it addresses risks like hallucinations and RAG fragility by stress-testing retrieval and reasoning in lifelike workflows rather than narrow prompts. Getting started is fast: connect your bot to Snowglobe’s simulation environment and, with an API key for your LLM provider, run end-to-end tests in minutes.Starting Price: $0.25 per message -
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Linker Vision
Linker Vision
Linker VisionAI Platform is a comprehensive, end-to-end solution for vision AI, encompassing simulation, training, and deployment to empower smart cities and enterprises. It comprises three core components, Mirra, for synthetic data generation using NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, facilitating data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, enabling large-scale Vision Language Model (VLM) deployment with NVIDIA NIM. This integrated approach allows for the seamless transition from data simulation to real-world application, ensuring that AI models are robust and adaptable. Linker VisionAI Platform supports a range of applications, including traffic and transportation management, worker safety, disaster response, and more, by leveraging urban camera networks and AI to drive responsive decisions. -
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Recogni
Recogni
Recogni unleashes new capabilities in perception processing! Our novel Vision Cognition Module (VCM), based on a custom ASIC, is capable of running deep-learning networks with amazing efficiency. This purpose-built solution can enable a car to detect small objects at long distances while consuming minimal battery power. A combination of real world & synthetic data is essential for state-of-the-art perception. One of the benefits of utilizing synthetic data is our ability to augment & enhance real world data. Enabled with a combination of Peta-Op class performance, industry-lowest latency & jitter, & industry-highest power efficiency. -
45
NVIDIA Isaac GR00T
NVIDIA
NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is a research-driven platform for developing general-purpose humanoid robot foundation models and data pipelines. It includes models like Isaac GR00T-N, and synthetic motion blueprints, GR00T-Mimic for augmenting demonstrations, and GR00T-Dreams for generating novel synthetic trajectories, to accelerate humanoid robotics development. Recently, the open source Isaac GR00T N1 foundation model debuted, featuring a dual-system cognitive architecture, a fast-reacting “System 1” action model, and a deliberative, language-enabled “System 2” reasoning model. The updated GR00T N1.5 introduces enhancements such as improved vision-language grounding, better language command following, few-shot adaptability, and new robot embodiment support. Together with tools like Isaac Sim, Lab, and Omniverse, GR00T empowers developers to train, simulate, post-train, and deploy adaptable humanoid agents using both real and synthetic data.Starting Price: Free -
46
Digimizer
MedCalc Software Ltd
Digimizer is an easy-to-use and flexible image analysis software package that allows precise manual measurements as well as automatic object detection with measurements of object characteristics. Pictures may be X-rays, micrographs, etc. Supported file formats are JPG, GIF, TIFF, BMP, PNG, WMF, EMF and DICOM files. Images can be rotated, flipped or straightened. Image brightness and contrast can be adjusted. Several filters can be applied. -
47
Lexica Aperture
Lexica
Lexica Aperture is an AI image and AI art generator. Lexica Aperture uses the Stable Diffusion AI art generation model.Starting Price: Free -
48
Working Model 2D
Design Simulation Technologies
Working Model is the best selling motion simulation product in the world. Confirm your design with powerful analytical tools. Fast “run-analyze-refine” cycle helps to optimize designs before building physical prototypes. Reduce physical prototyping. You are in total control of the simulation environment. Quickly build, run, and refine simulations with pre-defined objects and constraints. Run, stop, reset, single step, or pause the simulation at any time. Analyze your latest design by measuring force, torque, acceleration, etc. acting on any object. View output as vectors or in numbers and graphs in English or metric units. Import your 2D CAD drawings in DXF format. Input values from equations, sliders and DDE links to MATLAB and Excel. Create bodies and specify its mass properties, initial velocity, electrostatic charge, etc. Run or edit scripts to optimize simulations, document models, and more. Create visually appealing presentations by attaching pictures. -
49
Uxia
Uxia
Uxia reinvented user testing with an AI-powered platform that enables design and product teams to validate and test UX/UI flows in seconds using synthetic users instead of real testers. By uploading a prototype, design, or user flow, teams can receive instant, actionable insights, around five minutes instead of days, thanks to thousands of simulated interactions mirrored by AI personas. Unlike traditional platforms that rely on rushed, biased “professional testers,” Uxia’s synthetic testers offer higher-quality feedback at lightning speed while remaining cost-effective, scalable, and accessible to teams of any size. It dramatically accelerates iteration cycles and supports agile product development by surfacing usability friction, identifying paths where users get stuck, and enabling continuous refinement without expensive contracts or lengthy turnaround times. Uxia makes fast, reliable testing feasible at any stage of design, empowering rapid, insight-driven decisions.Starting Price: €34.95 per month -
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PureActiv
PureTech Systems
Our product solutions deliver a fully integrated automated outdoor wide-area and perimeter protection system. PureActiv is among the highest in probability of detection and lowest in nuisance alarm rates, providing a superior level of security for your facility, infrastructure, and border. Detect, Track, Classify, and Deter with one system. Your safety is our priority. The PureActiv system provides world-class situational awareness and proactive management of outdoor security threats to lives, critical facilities and assets. PureActiv Auto-Verify only alarms on AI verified targets of interest eliminating up to 95% of nuisance alarms from motion analytics, fence sensors, radars, and other perimeter sensors.
