Alternatives to Cogniac
Compare Cogniac alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Cogniac in 2026. Compare features, ratings, user reviews, pricing, and more from Cogniac 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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Kognition
Kognition AI
Kognition AI security stops threats in real-time. Transform legacy security into intelligent protection that pays for itself. Kognition AI integrates seamlessly with existing cameras and access control - no costly rip-and-replace required. Why Security Leaders Choose Us: ✓ 24/7 AI Guardian that never misses threats or calls in sick ✓ Works with Axis, Hanwha, Avigilon, Genetec, Milestone, and other popular platforms and devices. ✓ Real-time alerts deliver actionable intelligence in seconds ✓ Easy to deploy enterprise-grade security Perfect for corporate campuses, schools and universities, office buildings, hospitals, and retailers seeking modern security to reduce risk and improve staff, student, and tenant safety. Transform your security team from reactive responders to proactive guardians with Kognition AI - schedule a demo today!Starting Price: $10,000 -
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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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Visual Layer
Visual Layer
Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.Starting Price: $200/month -
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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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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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Mitutoyo AI INSPECT
Mitutoyo
Mitutoyo has long been a worldwide leader in precision measuring instruments and solutions. Because we are committed to helping you achieve 100% defect-free products, we used artificial intelligence to develop a simple method for the complex problem of defect detection. Visual defect detection has traditionally been a costly and time-consuming operation. Now, by leveraging the immense power of artificial intelligence and machine learning, AI INSPECT from Mitutoyo allows everyday users to create simple, world-class defect detection solutions for visual inspection. AI INSPECT software uses modern deep-learning convolutional networks to learn the visual differences between normal and defective pixels in any set of correlated images. User imports defects and nominal images into the application to create a project model. User highlights image defects with easy-to-use marking tools. The user is guided through the training setup process requiring no AI knowledge. -
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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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Matroid
Matroid
Trusted for mission-critical applications, no coding required. Detect any visual defects with any camera and in any spectrum. Matroid's computer vision software enables reliable safety-critical inspection with digital traceability. Matroid automatically validates that human operators follow standard operating procedures. Matroid continuously monitors and verifies manual operations to capture various timestamps, cycle counts, and cycle times. Matroid allows for user-defined real-time alerts, video analytics, playback, and more. Capture actionable insights for continuous improvement. Implement cutting-edge technology for detecting unsafe conditions, get real-time notifications, and report safety instances with video playback. Matroid continuously monitors and verifies all tasks completed at gates to provide real-time operational insights with video analytics to implement continuous improvement initiatives for ground operations. -
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Folio3
Folio3 Software
Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy. -
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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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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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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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Averroes
Averroes.ai
Averroes.ai is a no-code, AI-powered platform designed for manufacturing and industrial applications, specializing in visual inspection, advanced process control (APC), and virtual metrology (VM). It achieves over 99% accuracy in defect detection and integrates seamlessly with existing systems across industries such as semiconductors, electronics, solar energy, and more. The platform leverages AI to automate defect detection, enable real-time process optimization, and reduce false positives, enhancing quality control, productivity, and operational efficiency with flexible deployment options. -
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Lincode LIVIS
Lincode
Artificial intelligence & industrial IoT solutions company increasing profitability of manufacturing companies globally. Lincode has developed a unique computer vision-based solution that detects QA issues at higher rates of accuracy and at lower costs than major competitors. A proprietary model that incorporates AI to detect manufacturing defects of less than 2 microns at 120 FPS, incorporates ML to predict machine downtime and incorporates AI and ML to predict the likelihood of future product defects. The solution is deployable with basic camera equipment in open environments and is operable within a single month of engagement. -
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EasyODM
EasyODM
Our automated visual quality inspection software optimizes efficiency, minimizes defects, and significantly reduces production costs, resulting in substantial annual savings for our valued clients. EasyODM combines the power of computer vision and machine learning to revolutionize quality inspection, enabling machines to unlock the cognitive capabilities of AI and transform data into actionable insights. EasyODM combines the power of computer vision and machine learning to revolutionize quality inspection, enabling machines to unlock the cognitive capabilities of AI and transform data into actionable insights. Our automated visual quality inspection software optimizes efficiency, minimizes defects, and significantly reduces production costs, resulting in substantial annual savings for our valued clients. -
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Elementary
Elementary
Elementary’s easy-to-use software, deep learning AI, and camera systems are built to capture visual data, deliver fast and reliable real-time judgments, and provide lasting value to your business. Elementary’s easy-to-use software, deep learning AI, and camera systems are built to capture visual data, deliver fast and reliable real-time judgments, and provide lasting value to your business. PLC, machine, and automation integrations. Run multiple inspections simultaneously. High-speed inspection from AI on the edge. Better utilize your factory floor and see an increase of 50% in warehouse associate productivity. Stay on top of your product line like never before. See 90% more detections in manufacturing operations. Save time and money with our plug-and-play system. It only takes 20 minutes for remote deployment. Today’s work environment demands remote accessibility in order to keep pace with rapidly changing conditions. Leveraging secure cloud technology is key to staying informed. -
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LandingLens
LandingAI
An end-to-end visual inspection platform designed to manage data, accelerate troubleshooting, and scale deployment. See why LandingLens, an AI visual inspection platform works for business. Speeds up your labeling process by as much as 50% and reduces your model deployment time by up to 67%. Manages a few to thousands of models with minimal resources. Improves the accuracy of your machine learning models with data generation and smart labeling. Track and manage the efficiency of AI projects, current data assets, and deployed solutions across all company site locations. Identifies issues caused by the environment and raises alerts when the model drifts. Easily update and adjust your solutions without being beholden to a 3rd party AI team. Enable manufacturers to create, deploy, and manage industrial AI projects on a single integrated end-to-end platform. -
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Instrumental
Instrumental
Engineering teams rely on Instrumental to ship their products sooner, with fewer quality issues. Instrumental delivers AI-powered proactive defect discovery, end-to-end failure analysis tools, and remote real-time build monitoring, all in a single simple cloud platform. Instrumental delivers a unified, traceable data record to help identify and investigate issues starting in your earliest EVT builds. Unify your product data, act on it faster, and leverage AI to solve previously intractable problems on your line. Instrumental unifies your product data to deliver the information you need, when and where you need it, so you can find and fix problems fast. Industrial AI automatically finds and ranks every defect, speeds up failure analysis, and keeps your builds on track. Faster issue resolution starts with the right data in the right place. Instrumental puts a complete product data record including parametric tests, photos, and measurements, at your fingertips. -
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Loopr AI
Loopr AI, Inc.
LooprIQ Inspect's camera-based software is configured to identify the exact defects or anomalies that occur in your material. Detect scratches, cracks, bent tips, incomplete welds, foreign objects, and anything else that a human inspector can identify. Reduce your cost of quality with AI-based visual inspection that catches more defects instantly and consistently. Minimize part rework and recalls with AI-powered verification that instantly and objectively matches each assembled product with its spec sheet, directly on your assembly line. Use AI to automate defect detection during the composite layup process or inspection of turbines in MRO facilities. Ensure manual assembly of parts is done to spec and automate inspection and re-inspections with traceable proof of record. Consistently inspect your manufacturing line for product defects using AI and get instant alerts to take remedial action. -
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HACARUS Check
HACARUS Inc.
HACARUS' AI Core is uniquely differentiated in that it is able to create highly accurate defect detection models from small data sets, trained with only good data, and can be adapted to changing production conditions with simple adjustments. HACARUS Check AI software is a complete inspection software suite, built with the human operator in mind. The intuitive application features a full graphical interface and allows for the creation of powerful AI models with ease. Training a new inspection model requires only a small, good only, data set, and predictions are near instantaneous. Defects detected are highlighted with helpful features such as bounding boxes and heat maps. -
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Ombrulla
Ombrulla
Ombrulla transforms manual visual inspections with AI, delivering faster, accurate defect detection while boosting efficiency and cutting costs. Our AI and IoT-enabled APM software provides real-time insights and predictive maintenance, ensuring maximum asset availability and operational sustainability. Transform operations with AI and IoT-powered asset insights to minimize downtime, optimize resource utilization, and achieve unparalleled operational sustainability. Ombrulla harnesses AI and IoT to deliver powerful insights and data-driven decisions, boosting efficiency and driving profitability across industries. Ombrulla's AI Visual Inspection in automobiles enhances quality control, reduces errors, and significantly improves operational efficiency. AI & IoT Real-time Location Systems (RTLS) improve worker safety, ensure compliance, and minimize hazardous solutions. AI visual inspection in manufacturing enhances quality control, reducing errors and optimizing the production process. -
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DeePhi Quantization Tool
DeePhi Quantization Tool
This is a model quantization tool for convolution neural networks(CNN). This tool could quantize both weights/biases and activations from 32-bit floating-point (FP32) format to 8-bit integer(INT8) format or any other bit depths. With this tool, you can boost the inference performance and efficiency significantly, while maintaining the accuracy. This tool supports common layer types in neural networks, including convolution, pooling, fully-connected, batch normalization and so on. The quantization tool does not need the retraining of the network or labeled datasets, only one batch of pictures are needed. The process time ranges from a few seconds to several minutes depending on the size of neural network, which makes rapid model update possible. This tool is collaborative optimized for DeePhi DPU and could generate INT8 format model files required by DNNC.Starting Price: $0.90 per hour -
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Amazon Lookout for Vision
Amazon
Easily create a machine learning (ML) model to spot anomalies from your live process line with as few as 30 images. Identify visual anomalies in real time to reduce and prevent defects and improve product quality. Prevent unplanned downtime and reduce operational costs by using visual inspection data to spot potential issues and take corrective action. Spot damage to a product’s surface quality, color, and shape during the fabrication and assembly process. Determine what’s missing based on the absence, presence, or placement of objects, like a missing capacitor in a printed circuit board. Detect defects with repeating patterns, such as repeated scratches in the same spot on a silicon wafer. Amazon Lookout for Vision is an ML service that uses computer vision to spot defects in manufactured products at scale. Spot product defects using computer vision to automate quality inspection. -
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Scanflow
Scanflow
Scanflow brings automated visual inspection and asset identification to modern manufacturing, helping teams detect defects early and maintain consistent quality across every production stage. Its AI-powered system replaces slow manual checks with real-time detection, ensuring products meet standards without interrupting workflow. The platform also streamlines track-and-trace operations by eliminating manual data entry and reducing costly human error. With support for edge, cloud, and offline deployments, Scanflow adapts to environments with strict data requirements or limited connectivity. The solution is built to integrate seamlessly into existing processes, enabling fast adoption with minimal disruption. From manufacturing to automotive, Scanflow empowers industries to work faster, smarter, and safer. -
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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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VisionSense
Winjit
Real-time computer vision and advanced image processing solution that leverages advanced models of convolutional neural networks. The top application of the product has been in building management, identity verification and fraud detection, manufacturing and quality control. Winjit is one of India’s leading technology providers with over a decade of experience in innovating engineering solutions across industries. -
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Torch
Torch
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner. -
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YandexART
Yandex
YandexART is a diffusion neural network by Yandex designed for image and video creation. This new neural network ranks as a global leader among generative models in terms of image generation quality. Integrated into Yandex services like Yandex Business and Shedevrum, it generates images and videos using the cascade diffusion method—initially creating images based on requests and progressively enhancing their resolution while infusing them with intricate details. The updated version of this neural network is already operational within the Shedevrum application, enhancing user experiences. YandexART fueling Shedevrum boasts an immense scale, with 5 billion parameters, and underwent training on an extensive dataset comprising 330 million pairs of images and corresponding text descriptions. Through the fusion of a refined dataset, a proprietary text encoder, and reinforcement learning, Shedevrum consistently delivers high-calibre content. -
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AegisVision
AegisVision AI
AegisVision is an advanced AI-driven computer vision platform that transforms ordinary camera feeds into actionable business intelligence. Designed for enterprise environments, AegisVision uses cutting-edge deep learning and adaptive vision models to automate visual inspection, detect defects, monitor safety compliance, and deliver insights in real time — whether deployed on the cloud or at the edge. With real-time defect detection, AegisVision identifies surface flaws, assembly errors, and anomalies instantly, replacing manual inspection with consistent automated precision. Its self-learning models continually improve performance and adapt to new product types or changing conditions with minimal retraining. -
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ROO.AI
ROO.AI
Replace paper with the next-generation visual inspection platform that shows workers exactly what to do, when they need to do it, keeping equipment operating and production quality high. Paper checklists are slowing down production, quality control, and equipment maintenance. ROO.AI replaces paper by combining a breakthrough visual interface with guided work instruction and Bots on standard mobile devices to increase frontline productivity and accuracy while helping companies onboard faster and upskill their workforce. Improve inspection processes, simplify process audits, speed up production lines, and ensure preventive maintenance. ROO.AI bridges the skills gap and drives continuous improvement in industries like manufacturing, energy, transportation, and more. Cut inspection times by up to 70% and automate data collection providing instant visibility to defects for quality checks and process audits.Starting Price: $29 per month -
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SolVision
Solomon
SolVision is an advanced AI vision system developed by Solomon 3D, designed to enhance industrial automation through rapid and accurate visual inspections. Leveraging Solomon’s proprietary rapid AI model training technology, SolVision enables users to train AI models in minutes, significantly reducing setup time compared to traditional systems. It excels in various applications, including defect detection, item classification, optical character recognition, and presence/absence checks, making it suitable for industries such as manufacturing, food & beverage, textiles, and electronics. A standout feature is its ability to learn from as few as 1–5 image samples, streamlining the training process and minimizing the need for extensive data annotation. SolVision's intuitive user interface allows for simultaneous labeling of multiple defect types, facilitating complex classification tasks. -
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RoboRealm
RoboRealm
RoboRealm is a Windows-based machine vision software designed to simplify vision programming and enable rapid prototyping with advanced modules. It features an intuitive GUI requiring no or low code, making it accessible for both casual users and serious robotic scientists. It supports hundreds of image processing modules and is camera agnostic, allowing for flexibility in hardware choices. Users can experience real-time parameter changes, and the software includes a fully supported server API for integration with other systems. RoboRealm accommodates multiple image sources and offers various output interfaces, including file, web, FTP, and email. Its plugin framework allows for the development of custom modules, and an active online community provides expert assistance. It enables the combination of modules through an easy-to-use pipeline to create tailored solutions for tasks such as surface defect detection, measurement, counting, detection, etc.Starting Price: $25 per month -
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TFLearn
TFLearn
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations and more. The high-level API currently supports most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks. -
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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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Chainer
Chainer
A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Comes with ChainerRLA, a library that implements various state-of-the-art deep reinforcement algorithms. Also, with ChainerCVA, a collection of tools to train and run neural networks for computer vision tasks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. -
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AForge.NET
AForge.NET
AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc. The work on the framework's improvement is in constants progress, what means that new feature and namespaces are coming constantly. To get knowledge about its progress you may track source repository's log or visit project discussion group to get the latest information about it. The framework is provided not only with different libraries and their sources, but with many sample applications, which demonstrate the use of this framework, and with documentation help files, which are provided in HTML Help format. -
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DeepInspect
SwitchOn, Inc
SwitchOn, Inc. offers DeepInspect®, an advanced AI-powered visual inspection system designed to transform quality control in manufacturing. DeepInspect leverages cutting-edge deep learning and computer vision to deliver high-speed, accurate inspections for a wide range of products such as glass bottles, capsules, and seals. The system supports over 1000 parts per minute using up to eight industrial cameras with various resolutions and shutter types. It features a no-code setup, enabling manufacturers to deploy inspections quickly without the need for data science expertise. DeepInspect integrates smoothly with industrial equipment from Siemens, Delta, Omron, and Mitsubishi, offering real-time traceability and analytics to optimize production quality. With 24/7 support and industrial-grade hardware, SwitchOn ensures reliability and long-term operation in demanding manufacturing environments. -
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NeuroIntelligence
ALYUDA
NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing. Neural network architecture search, fitness bars, network training graphs comparison. Training graphs, dataset error, network error, weights and errors distribution, neural network input importance. Testing, actual vs. output graph, scatter plot, response graph, ROC curve, confusion matrix. The interface of NeuroIntelligence is optimized to solve data mining, forecasting, classification and pattern recognition problems. You can create a better solution much faster using the tool's easy-to-use GUI and unique time-saving capabilities.Starting Price: $497 per user -
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Ximilar
Ximilar
Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.Starting Price: $0 -
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Latent AI
Latent AI
We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at the edge by optimizing for compute, energy and memory without requiring changes to existing AI/ML infrastructure and frameworks. LEIP is a modular, fully-integrated workflow designed to train, quantize, adapt and deploy edge AI neural networks. LEIP is a modular, fully-integrated workflow designed to train, quantize and deploy edge AI neural networks. Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutions that are efficient, practical, and useful. Latent AI helps a variety of federal and commercial organizations gain the most from their edge AI with an automated edge MLOps pipeline that creates ultra-efficient, compressed, and secured edge models at scale while also removing all maintenance and configuration concerns -
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Optelos
Optelos
Optelos is a flexible, scalable and secure cloud-based visual data management and AI analytics platform that transforms visual asset inspection data into actionable insights. Our patented technology geolocates and correlates all types of unstructured data into an intuitive, contextualized and searchable database ready for analysis and AI implementation. Leveraging computer vision AI, advanced image modeling and APIs for enterprise systems integration, Optelos enables businesses to operationalize and automate their visual asset inspection programs.Starting Price: $1,000/month -
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Mobius Labs
Mobius Labs
We make it easy to add superhuman computer vision to your applications, devices and processes to give you unassailable competitive advantage. No code, customizable & on-premise AI solutions. -
44
Darknet
Darknet
Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP. -
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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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ThirdAI
ThirdAI
ThirdAI (pronunciation: /THərd ī/ Third eye) is a cutting-edge Artificial intelligence startup carving scalable and sustainable AI. ThirdAI accelerator builds hash-based processing algorithms for training and inference with neural networks. The technology is a result of 10 years of innovation in finding efficient (beyond tensor) mathematics for deep learning. Our algorithmic innovation has demonstrated how we can make Commodity x86 CPUs 15x or faster than most potent NVIDIA GPUs for training large neural networks. The demonstration has shaken the common knowledge prevailing in the AI community that specialized processors like GPUs are significantly superior to CPUs for training neural networks. Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the “unlocking” of AI training workloads on GPUs that were not previously feasible. -
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GPT-4o
OpenAI
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time (opens in a new window) in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.Starting Price: $5.00 / 1M tokens -
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Qualitas EagleEye
Qualitas Technologies
The Qualitas EagleEye comes with a modular design with the choice of image resolution, fixed focal length optics, and illumination. Illumination choices include a spotlight, dome light, ring light, and bar light. Once the camera module has been installed, the images captured will be sent to our cloud application for annotation and teaching. Using a simple point-and-click software interface, images can be labeled which is then trained using a deep learning training module. Trained models are deployed “over the air” using a one-click deployment interface. Once deployed the autonomous vision system is able to autonomously inspect the images captured and results are obtained. Continuous performance and accuracy monitoring with closed-loop re-training for error corrections can be done using the cloud-based application. -
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Neural Designer
Artelnics
Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance.Starting Price: $2495/year (per user) -
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Neuri
Neuri
We conduct and implement cutting-edge research on artificial intelligence to create real advantage in financial investment. Illuminating the financial market with ground-breaking neuro-prediction. We combine novel deep reinforcement learning algorithms and graph-based learning with artificial neural networks for modeling and predicting time series. Neuri strives to generate synthetic data emulating the global financial markets, testing it with complex simulations of trading behavior. We bet on the future of quantum optimization in enabling our simulations to surpass the limits of classical supercomputing. Financial markets are highly fluid, with dynamics evolving over time. As such we build AI algorithms that adapt and learn continuously, in order to uncover the connections between different financial assets, classes and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.
