Alternatives to VisionPro Deep Learning
Compare VisionPro Deep Learning alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to VisionPro Deep Learning in 2026. Compare features, ratings, user reviews, pricing, and more from VisionPro Deep Learning 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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Dataloop AI
Dataloop AI
Manage unstructured data and pipelines to develop AI solutions at amazing speed. Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all. Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications. -
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Rosepetal AI
Rosepetal AI
Rosepetal AI is an innovative technology company specializing in advanced artificial vision and deep-learning solutions designed specifically for industrial quality control. Our platform integrates dataset handling, automated labelling and training of adaptive neural networks, enabling real-time defect detection without requiring advanced technical expertise. This intuitive, no-code SaaS solution democratizes access to sophisticated AI, significantly enhancing efficiency, reducing waste, and driving operational excellence across multiple industries such as automotive, food processing, pharmaceuticals, plastics, and electronics. The unique strength of Rosepetal AI lies in its dynamic adaptability and scalability. Our system allows industrial companies to quickly deploy robust AI models directly onto their production lines, continuously adjusting to new product variations and emerging defects. This capability ensures consistent quality, minimizes downtime.Starting Price: €250 -
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Jidoka
Jidoka
Jidoka, a principle that advocates “intelligent automation”, is at the heart of our products where we combine artificial intelligence with industry automation to deliver cutting-edge solutions. Jidoka Technologies is in the field of industrial automation, delivering cutting-edge engineering solutions to a diverse range of problems. Specialize in combining our expertise in the areas of manufacturing, machine vision, deep learning and software, to deliver unique solutions for automation. We specialize in automating the detection of visual defects, a process that is highly subjective by nature across industries. Experience the most comprehensive solution on your road to achieving Jidoka. We teach machines to learn by example. Ability to teach the variations in the visual nature of the components and defects & to handle drifts in the processes. Getting the perfect imaging for any application and using image processing techniques to best augment AI is at the core of our solutions. -
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Strong Analytics
Strong Analytics
Our platforms provide a trusted foundation upon which to design, build, and deploy custom machine learning and artificial intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Predict the future using state-of-the-art forecasts. Enable smarter decisions throughout your organization with cloud based tools to monitor and analyze. The process of taking a modern machine learning application from research and ad-hoc code to a robust, scalable platform remains a key challenge for experienced data science and engineering teams. Strong ML simplifies this process with a complete suite of tools to manage, deploy, and monitor your machine learning applications. -
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Overview
Overview
Reliable, adaptable computer vision systems for any factory. AI and image capture are integrated into every step of manufacturing. Overview’s inspection systems are built with deep learning technology which allows us to find mistakes more consistently and in a wider variety of situations. Enhanced traceability with remote access and support. Our solutions create a traceable visual record of every unit. You can quickly identify the root cause of production problems and quality issues. Whether you are just digitizing your inspection or have an existing vision system that is underperforming, Overview has a solution that can drive waste out of your manufacturing operations. Demo the Snap platform to see how we improve your factory efficiency. Deep learning automated inspection solutions radically improve defect detection. Improved yields, better traceability, easy setup, and outstanding support. -
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NeuralVision
Cyth Systems, Inc.
NeuralVision is a machine vision platform at the forefront of deep learning and artificial intelligence-like abilities applied to the industrial inspection space. For the first time companies are able to have total control of the performance of their machine vision systems and not be dependent on external vision experts to make changes or incorporate new product lines. Traditional machine vision is highly dependent on having a controlled environment, rigid positional tolerances, and ultimately the skill of the vision programmer. It is up to engineers to come up with every algorithm required to inspect a part from measurements to color to correct locations and everything in between. NeuralVision from Cyth Systems was designed to allow a person with no machine vision experience to inspect and classify products. Machine vision systems traditionally work by having an experienced programmer choose one of many analysis algorithms to apply to an image. -
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ThinkIQ
ThinkIQ
ThinkIQ’s innovative use of vision technology and AI reveals blind spots like no one else. ThinkIQ’s intuitive Semantic Model and Material Ledger allow raw supplier data to be standardized, contextualized, and actually useful, from component-to-delivery. ThinkIQ’s NextGen Historian tracks data over time. With AI analysis, this reveals hidden patterns that provide even more useful insights. ThinkIQ’s 5-step process allows nearly any manufacturer to travel the route to Industry 4.0 Smart Manufacturing, with gains at every stage. ThinkIQ has a proven record with global brands and is leading the establishment of Smart Manufacturing standards. Its platform leads to increased productivity, sustainability, and safety for manufacturers. -
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Symbotic
Symbotic
Symbotic is a revolutionary warehouse automation system that reinvents the supply chain with an end-to-end, AI-powered robotic platform. It integrates a fleet of autonomous mobile robots and robotic arms equipped with advanced vision and sensing capabilities, enabling them to build optimized mixed-case pallets with relentless efficiency and industry-leading speed and density. The modular design allows for easy scaling and retrofitting into existing warehouses, maximizing flexibility in sizing and scaling. Symbotic's high-density storage structure and distributed storage algorithm maximize the use of space, increase capacity, and enable industry-leading product storage and retrieval speed. The AI-powered software seamlessly orchestrates hundreds of autonomous robots, managing the entire end-to-end system from case digitization and complex bot routing to sequencing, planning, and building the perfect mixed-SKU pallet. -
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OpenVINO
Intel
The Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.Starting Price: Free -
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Flexible Vision
Flexible Vision
Flexible Vision is an AI machine vision software and hardware solution that enables your team to quickly and easily solve difficult visual inspections. The cloud portal allows your teams to collaborate and share vision inspection programs across factory floors. Collect 5-10 images of good parts and bad parts. Our software will optionally increase this sample size with augmentation. With a click of a button, your model will begin to be created. Your model will be ready for production in a matter of minutes. Your AI model will automatically deploy and be ready for validation. Download or sync the model to as many on-prem production lines as needed. Our high speed industrial processors quickly process your images. Simply select the ai model from a dropdown and watch the detections live on screen. Our systems are designed for either manual inspection stations or incorporated into traditional factory automation. Our systems are IO and field-bus compatible. -
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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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Imubit
Imubit
Imubit’s AI platform delivers real-time, closed-loop process optimization for heavy-process industries by combining a dynamic process simulator, reinforcement-learning neural controller, and performance dashboards. The dynamic simulator is trained on years of historical plant data and guided by first principles to build a virtual model of the true process, enabling what-if simulation of variable relationships, constraint changes, and operating strategy shifts. The reinforcement-learning controller, trained offline with millions of trial-and-error scenarios, is then deployed to optimize control variables continuously, maximizing margins while respecting safe-operating constraints. Live dashboards track model availability, engagement, uptime and offer interactive visualizations of bound values, operational limits, and KPI trends. Use cases include aligning economic strategy with real-time operations and detecting process degradation. -
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MatConvNet
VLFeat
The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available. -
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Robovision
Robovision
The Robovision AI software platform can be easily integrated into current infrastructures and operations. It makes advanced machine vision accessible to any team member with or without AI experience because the user interface is designed to be low-barrier and easy to use. The platform handles training AI models and deploying them at scale, simplifying the complexities of machine vision and shifting the focus to faster results, less time is wasted figuring out technical hurdles. By combining artificial intelligence and deep learning, raw visual data can be turned into advanced, and actionable, insights. Robovision’s machine vision system is designed to handle incredibly complex visual inputs in various scenarios, including inspecting products on an assembly line, tracking inventory in real-time, or diagnosing medical conditions. -
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Catalyx
Catalyx
Our software solutions combine the efficiencies of the virtual world with the realities of the physical world to lower costs, increase flexibility, and meet complex customer expectations. Learn how Catalyx software solutions can help accelerate your journey to the factory of the future. Catalyx's SmartFactory Software Suite enables regulated organizations to transition from custom, independently managed production line applications to a resilient, expandable, and extendable platform. This contemporary software architecture ensures long-term maintainability and supportability. By inspecting the quality and integrity of 100% of products, the suite reduces batch setup times by 33%, accelerates new product onboarding by 36%, eliminates manual data input errors, and digitizes paperwork processes, including automated batch creation from enterprise systems. Key applications encompass digital line clearance, machine vision inspection, returnable transit packaging, and more. -
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The Vision Lab
The Vision Lab
The Vision Lab delivers actionable results using advanced AI and deep learning to analyze employee ideas at hyper scale. Employee surveys take time to design and digest. The Vision Lab eliminates that work. Other platforms are complex. The Vision Lab is simple, engaging and does not distract employees. Current methods are expensive and time-consuming. The Vision Lab gets better results, faster. -
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MXNet
The Apache Software Foundation
A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions. -
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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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DATAGYM
eForce21
DATAGYM enables data scientists and machine learning experts to label images up to 10x faster. AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products. Accelerate your computer vision projects by cutting down data preparation time up to 50%.Starting Price: $19.00/month/user -
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Viso Suite
Viso Suite
Viso Suite is the world’s only end-to-end platform for computer vision. It enables teams to rapidly train, create, deploy and manage computer vision applications – without writing code from scratch. Use Viso Suite to deliver industry-leading computer vision and real-time deep learning systems with low-code and automated software infrastructure. The use of traditional development methods, fragmented software tools, and the lack of experienced engineers are costing organizations lots of time and leading to inefficient, low-performing, and expensive computer vision systems. Build and deploy better computer vision applications faster by abstracting and automating the entire lifecycle with Viso Suite, the all-in-one enterprise vision platform. Collect data for computer vision annotation with Viso Suite. Use automated collection capabilities to gather high-quality training data. Control and secure all data collection. Enable continuous data collection to further improve your AI models. -
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Automaton AI
Automaton AI
With Automaton AI’s ADVIT, create, manage and develop high-quality training data and DNN models all in one place. Optimize the data automatically and prepare it for each phase of the computer vision pipeline. Automate the data labeling processes and streamline data pipelines in-house. Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the deep learning pipeline. Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy. Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for auto-labeling. -
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Neurala
Neurala
Neurala is on a mission to help manufacturers improve their vision inspection process. Supply chain issues, labor shortages, and the risk of recalls are driving the need for more automation. Our Visual Inspection Automation (VIA) software goes beyond the capabilities of traditional machine vision in detecting anomalies and defects, even when products have natural variations. Using our proven vision AI technology, manufacturers can scale production, reduce waste and adapt to workforce changes, while achieving even higher levels of quality control. Neurala software uses our patented Lifelong-Deep Neural Network (L-DNN)™ technology, offering the first cost-effective vision AI tool that can be easily retrofitted into your existing production line infrastructure, without the need for AI experts or expensive capital expenditures. Neurala gives you the flexibility to deploy your vision AI models to meet your specific business needs, either to the cloud or on-premise. -
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Veda Labs
Veda Labs
Understand the deep insights from your video feeds & make informed business decisions that are backed by data and analytics. Be it a retail store, supermarket, restaurant, shopping mall, airport or any other real estate, Veda Labs enables all to extract deep insights in real time that are backed by machine learning & computer vision. From entry to exit, presenting retailers the entire overview of how their stores are performing in real time with respect to their consumers. Personalised experience is the key to growth, with facial recognition Veda Labs allows hotels to have an improved consumer experience. A-to-Z insights on entire warehouse security and performance is delivered with the help of computer vision & machine learning at scale. Introducing Veda's AI software that presents real time pro-active monitoring system that sends alerts for any un-usual activity or tamperings in the region of interest (ROI). -
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IBM Maximo Visual Inspection puts the power of computer vision AI capabilities into the hands of your quality control and inspection teams. It makes computer vision, deep learning, and automation more accessible to your technicians as it’s an intuitive toolset for labeling, training, and deploying artificial intelligence vision models. Built for easy and rapid deployment, simply train your model using our drag-and-drop visual user interface or import a custom model, and you’re ready to activate when and where you need it using mobile and edge devices. With IBM Maximo Visual Inspection, you can create your own detect and correct solution, with self-learning machine algorithms. Watch the demo below to understand how easy it is to automate your inspection processes with visual inspection tools.
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Detect Technologies
Detect Technologies
Unlock new opportunities for industrial efficiency with a cutting-edge Industrial AI platform. We integrate disparate operational data and break down industrial silos. Bring all your data on one platform and unlock operational insights for maximum productivity. Get actionable insights and achieve the highest level of efficiency with state-of-the-art IoT hardware. Reduce industrial downtime, maintain asset integrity, and manage processes proactively. Manage industrial projects and workforce efficiently. Leverage machine vision, sensors, robotics, and machine learning to control and optimize the schedule, and ensure end-to-end HSSE performance. Secure remote facilities, monitor equipment performance, and ensure the safety of the workforce present at the site with end-to-end intelligent automation. T-Pulse leverages intelligent edge computing to generate real-time insights on anomalies like intrusion, fence breaches, abnormal equipment behavior, fire, smoke, safety compliance, etc. -
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Vanderlande VISION
Vanderlande Industries
As part of our integrated portfolio of innovative systems, intelligent software and life-cycle services, we offer VISION. This next generation of software intelligently connects and orchestrates equipment, robotics, people and processes throughout the lifetime of your system. VISION offers a single platform for all automated and manual warehouse functions. It is based on a microservice architecture approach – a software application designed as a suite of small services – linked to a specific function within the logistic process. Each module is independently deployable and scalable. -
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Vize by Ximilar
Ximilar
Use deep learning algorithms with the highest accuracy on the market. Implement cutting-edge vision automation faster with no development costs. Create powerful and custom image recognizers in intuitive web interface. We always improve the underlying machine learning algorithms so you are up-to-date. Train custom neural network to recognize your specific images. Ximilar, industry leader in Visual AI an Search, acquired Vize, made it better, faster, and added business-critical features. Go to Ximilar Homepage to discover our services. -
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Honeywell Intelligrated
Honeywell
Honeywell Intelligrated offers a comprehensive suite of warehouse automation solutions designed to optimize distribution and fulfillment operations. Our offerings encompass advanced material handling equipment, including conveyor systems, sortation solutions, and palletizing/de-palletizing technologies, all integrated with intelligent software platforms like the Momentum Warehouse Execution System (WES). Momentum WES orchestrates nearly every aspect of automated warehouse execution, from inbound and outbound logistics to inventory control and labor management, providing real-time decision-making capabilities and seamless scalability. Honeywell's Automated Storage and Retrieval Systems (AS/RS) enhance throughput and maximize warehouse capacity, utilizing AI and machine learning algorithms for dynamic decision-making and optimal system automation. -
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IFS
IFS
IFS is the world’s leading provider of Industrial AI and enterprise software for hardcore businesses that make, service, and power our planet. Our technology enables businesses which manufacture goods, maintain complex assets, and manage service-focused operations to unlock the transformative power of Industrial AI™ to enhance productivity, efficiency, and sustainability. Industrial AI is IFS.ai IFS Cloud is a fully composable AI-powered platform, designed for ultimate flexibility and adaptability to our customers’ specific requirements and business evolution. It spans the needs of Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), Supply Chain Management (SCM), Information Technology Service Management (ITSM), and Field Service Management (FSM). IFS technology leverages AI, machine learning, real-time data and analytics to empower our customers to make informed strategic decisions and excel at their Moment of Service™. -
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TrulySecure
Sensory
The fusion of face & voice biometric authentication creates a highly secure, hassle free experience. Sensory’s proprietary speaker verification, face recognition, and biometric fusion algorithms leverage Sensory’s deep strength in speech processing, computer vision, and machine learning. The unique combination of face and voice recognition provides maximum security, yet remains fast, convenient and easy to use, while ensuring the highest verification rates for the user. Biometrics aren’t just beneficial for their security—they’re also more convenient than other methods. Not all biometric solutions are created equal, and some have been known to accept false positives (a phenomenon called “spoofing”). Sensory’s novel approach utilizing passive face liveness, active voice liveness, or a combination of the two leverages a deep learning model that nearly eliminates spoofs from fraudsters using 3D masks, photos, video recordings, and more. -
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OpenCV
OpenCV
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.Starting Price: Free -
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Alitheon FeaturePrint
Alitheon
Every physical object is unique. Our technology can distinguish any solid object from even visually identical items based on the object itself – there is no need for serialization, bar codes, RFID, etc. It can be used for object identification and authentication at low cost with statistically perfect results. This new branch of machine vision is called FeaturePrint™. As each person has unique fingerprints, every physical object has unique surface characteristics that distinguish it from all other items. Once an object is registered, its FeaturePrint is stored securely in the cloud. At any time, the object’s identity can be confirmed using something as pervasive as a smartphone. Our patented technology uses advanced machine vision, neural networks, and deep learning to identify each object from its unique properties without dependence on RFID, bar codes or other proxies. The identification of the object is inherent in the object itself. -
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FlowFuse
FlowFuse
FlowFuse is an industrial application software built on Node-RED that lets teams connect machines and protocols, collect and model data, and operate applications at scale while adding AI-powered assistance to accelerate development and deployment. It extends the intuitive low-code, visual programming environment of Node-RED with enterprise-grade features such as secure communication with devices, robust operational management, centralized remote deployment, team collaboration, and comprehensive security controls. FlowFuse includes interactive, responsive dashboards, AI-assisted flow creation and enhancement, and tools for transforming raw data into structured models using natural language prompts. It also adds support for DevOps-style pipelines to manage staged environments and version control, remote fleet management through a device agent, and advanced observability to monitor performance across instances.Starting Price: $20 per month -
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AntWorks CMR+
AntWorks
Get deeper insights, know your customers better, manage risk, create new products, be more productive, gain competitive advantage. CMR+ doesn’t use templating. It reads, understands and organises data from handwriting, tables, signatures, images, however they arrive. CMR+ combines speed with accuracy, pre-processing poor quality documents for great results. CMR+ manages complexity. Its use of Machine Learning and Deep Learning allows it to ‘understand’ context. CMR+ represents a major advance in Intelligent Document Processing. It’s designed and built to handle almost any document. CMR+ uses cutting-edge, proprietary AI including Deep Learning, Natural Language Processing (NLP), Machine Vision, and Machine Learning (ML) and also includes sentiment analysis, named-entity correlation and post-processing. -
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Amazon EC2 G5 Instances
Amazon
Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine-learning use cases. They deliver up to 3x better performance for graphics-intensive applications and machine learning inference and up to 3.3x higher performance for machine learning training compared to Amazon EC2 G4dn instances. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and gaming to produce high-fidelity graphics in real time. With G5 instances, machine learning customers get high-performance and cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing, computer vision, and recommender engine use cases. G5 instances deliver up to 3x higher graphics performance and up to 40% better price performance than G4dn instances. They have more ray tracing cores than any other GPU-based EC2 instance.Starting Price: $1.006 per hour -
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DeepNLP
SparkCognition
SparkCognition, a leading industrial AI company, has developed a natural language processing solution that automates workflows of unstructured data within organizations so humans can focus on high-value business decisions. The DeepNLP product uses advanced machine learning techniques to automate the retrieval of information, the classification of documents, and content analytics. The DeepNLP product integrates into existing workflows to enable organizations to better respond to changes in their business and quickly get answers to specific queries or analytics that support decision-making. -
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Oxipital AI
Oxipital AI
Our solutions are designed to have an immediate impact and require no code, no DIY, and no machine learning expertise to deploy into production. User-friendly, web-based setup tools, and dashboards take the mystery out of AI, leaving your business with insights that you can act on right now. Our fully integrated solutions enable manufacturers to tap into their most potent source of business intelligence, their own data. By addressing the most pervasive challenges of high-variability manufacturing environments, our visual AI platform provides the clarity to help businesses sharpen their operational vision. Our advanced AI vision supercharges operations in complex and high-variability manufacturing environments including food processing, agriculture, and consumer packaged goods, industries with challenges that evade existing machine vision technologies. -
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Provision a VM quickly with everything you need to get your deep learning project started on Google Cloud. Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular AI frameworks on a Google Compute Engine instance without worrying about software compatibility. You can launch Compute Engine instances pre-installed with TensorFlow, PyTorch, scikit-learn, and more. You can also easily add Cloud GPU and Cloud TPU support. Deep Learning VM Image supports the most popular and latest machine learning frameworks, like TensorFlow and PyTorch. To accelerate your model training and deployment, Deep Learning VM Images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers and the Intel® Math Kernel Library. Get started immediately with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility. Deep Learning VM Image delivers a seamless notebook experience with integrated support for JupyterLab.
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Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.Starting Price: Free -
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Prophesee Metavision
Prophesee
Metavision is an advanced event-based vision software toolkit developed by Prophesee, designed to facilitate the evaluation, design, and commercialization of event-based vision products. The SDK offers a comprehensive suite of tools, including 64 algorithms, 105 code samples, and 17 tutorials, enabling developers to efficiently build and deploy event-based applications. The open source architecture of Metavision SDK ensures full interoperability between software and hardware devices, fostering a rapidly growing event-based vision community. The platform covers a wide range of computer vision fields, such as machine learning, computer vision, camera calibration, and high-performance applications. Developers have access to extensive documentation, including over 300 pages of content, programming guides, and reference data, providing a solid foundation for product development. Metavision SDK5 PRO includes advanced add-ons like high-speed counting, spatter monitoring, and more.Starting Price: Free -
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Supervisely
Supervisely
The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more. -
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SnapBots
Snapbots
SnapBots is an artificial intelligence (AI) research firm based in the British Virgin Islands with global users. Driven by its focus on fields of machine learning and deep learning, it aims to supply bots as a service. SnapBots currently features deep learning bots, known publicly as Bots. SnapBots are powered by learning algorithms for any facet and dimension. They optimize conditions, generate solutions, and get better at that. Big data is crunched at breakneck speed as relevant algorithms are applied to train up their capabilities. The long-term vision of SnapBots constitutes an over-arching goal of decentralizing and democratizing the use of AI across multiple industries and establishments. -
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RADiCAL
RADiCAL
RADiCAL was founded to develop the world’s most powerful computer vision technology focused on detecting and reconstructing 3D human motion from 2D content. AI-powered 3D motion capture — in the cloud and on every device. To achieve this, we are using multiple bodies of science in a proprietary configuration, including computer vision, deep learning and anthropometry. Our system continually learns and perpetually improves. In our minds, we will never truly be done. Our goal is to see the technology implemented across mobile, web and enterprise environments, seamlessly powering 3D animation in film, TV, art, gaming, AR/VR, as well as industrial and health applications.Starting Price: $8 per month -
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Paravision
Paravision
Paravision provides a computer vision developer platform that powers face recognition applications serving mission-critical use cases. Our SDK's and API's enable comprehensive security and frictionless experiences and are powered by an industry-leading feature set. Our SDKs and Vision AI engines can be integrated into modern, secure infrastructure. We also build advanced solutions for identity-based security threats, like spoof attempts and deepfakes. Utilizing the most advanced AI frameworks and partnered with leading providers of hardware accelerators for AI and deep learning, Paravision delivers speed, scalability, and responsiveness while lowering operating costs. Paravision is proud to be a US-based leader in Vision AI. Whether in technical partnership, working through end-user challenges, or collaborating on market strategy, we strive to be dynamic, responsive, and focused on delivering excellence. -
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ArtsVision
ArtsVision
Performing arts organizations have unique challenges. When it comes to planning and resource management any solutions require a deep understanding of the “business” and a methodology tailored to suit the arts. The key to the success of ArtsVision lies in the experience of the senior ArtsVision team and the unique design of the application. ArtsVision specializes in the unique needs of the performing arts. Easy to use and keeps everyone informed. ArtsVision is hosted in the cloud so you will be able to access it from anywhere. Every member of the ArtsVision team has extensive experience in the performing arts. Having worked at many of the world’s top-performing arts organizations, in administration, software development, product management, sales, marketing, operations, finance, resource management, and planning, we understand your needs. ArtsVision is based on an enterprise license, which means it is available to an unlimited number of users across your organization. -
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Microsoft Cognitive Toolkit
Microsoft
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine-learning tool through its own model description language (BrainScript). In addition you can use the CNTK model evaluation functionality from your Java programs. CNTK supports 64-bit Linux or 64-bit Windows operating systems. To install you can either choose pre-compiled binary packages, or compile the toolkit from the source provided in GitHub. -
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NVIDIA DIGITS
NVIDIA DIGITS
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging. -
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AWS Deep Learning AMIs
Amazon
AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data. -
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Valiot
Valiot
Valiot Al enables plant managers to identify and quickly alleviate production bottlenecks without dismantling existing infrastructure or equipment. Using powerful AI Algorithms, with a System Dynamics approach, Valiot provides manufacturers with tools to evolve their production into a smart, connected, and autonomous operation, providing operational advantages never imagined before. We couple the power of Al with the flexibility of loT to help manufacturers enhance their operations. Our FactoryOS solution connects with your shop floor and admin systems. It gathers data directly from your PLCs, drivers, IoT sensors, IoT platform, or any other data-generating source from your shop floor and administrative systems.
