Alternatives to Recogni

Compare Recogni alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Recogni in 2026. Compare features, ratings, user reviews, pricing, and more from Recogni competitors and alternatives in order to make an informed decision for your business.

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    Obkio

    Obkio

    Obkio

    Network Performance Monitoring Made Easy. Obkio is a simple Network Monitoring and Troubleshooting SaaS solution that allows users to continuously monitor the health of their network and core business applications to improve the end-user experience. The innovative software application identifies the causes of intermittent network, VoIP, video, and applications slowdown in seconds and collect information to quickly troubleshoot problems before they affect your end-users. Deploy network monitoring Agents at strategic locations in a company's offices or network destinations such as data sites, remote sites, external client sites, or public or private clouds to continuously monitor performance using synthetic traffic exchanged every 500ms. Obkio's Agents give you a 360-degree overview of your network by measuring the network metrics like matter most (jitter, latency, packet loss, VoIP quality), and alerting you of any performance degradation.
    Starting Price: $399 per month
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    Synetic

    Synetic

    Synetic

    Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks.
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    Anyverse

    Anyverse

    Anyverse

    A flexible and accurate synthetic data generation platform. Craft the data you need for your perception system in minutes. Design scenarios for your use case with endless variations. Generate your datasets in the cloud. Anyverse offers a scalable synthetic data software platform to design, train, validate, or fine-tune your perception system. It provides unparalleled computing power in the cloud to generate all the data you need in a fraction of the time and cost compared with other real-world data workflows. Anyverse provides a modular platform that enables efficient scene definition and dataset production. Anyverse™ Studio is a standalone graphical interface application that manages all Anyverse functions, including scenario definition, variability settings, asset behaviors, dataset settings, and inspection. Data is stored in the cloud, and the Anyverse cloud engine is responsible for final scene generation, simulation, and rendering.
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    SKY ENGINE AI

    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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    Kodiak Driver
    Kodiak AI’s technology centers on the Kodiak Driver, a unified autonomous driving platform that combines advanced AI-powered software with modular, vehicle-agnostic hardware to enable scalable, real-world autonomy for trucks and ground vehicles. Designed to integrate seamlessly across different vehicle types and operating conditions, the system uses a suite of sensors, housed in field-swappable SensorPods for full 360° perception, deep-learning based perception models to interpret complex environments, forward planning to anticipate changes in the road ahead, and redundant compute, power, steering, and braking systems engineered for safety and reliability in demanding use cases. It supports deployment in commercial long-haul trucking, industrial logistics, and defense ground vehicles, with connectivity and telematics enabling over-the-air updates, remote fleet management, and Assisted Autonomy capabilities that allow human oversight.
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    Synthesis AI

    Synthesis AI

    Synthesis AI

    A synthetic data platform for ML engineers to enable the development of more capable AI models. Simple APIs provide on-demand generation of perfectly-labeled, diverse, and photoreal images. Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images. On-demand data enables new data-centric approaches to develop more performant models. An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more. Rapidly design, test, and refine your products before building hardware. Prototype different imaging modalities, camera placements, and lens types to optimize your system. Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more. We have worked with world-class customers across many use cases.
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    Ambient.ai

    Ambient.ai

    Ambient.ai

    With Ambient.ai, computer vision intelligence is transforming security tools, operations & outcomes, moving physical security teams from reactive to proactive operations. From autonomous vehicles to robot chefs, computer vision is changing the way that humans & machines collaborate in the real world. By automating repeatable tasks, computer vision enables outsized gains in human productivity. We are a team of machine perception & security experts applying leading-edge computer vision research to the needs of physical security organizations. The privacy vs. security trade-off is a false dichotomy. You can respect individual privacy and increase group security. That’s why we don’t & won’t embrace facial recognition.
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    Rosepetal AI

    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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    Sightbit

    Sightbit

    Sightbit

    SightBit provides an AI-powered solution for enhancing safety and security around open water. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology addresses climate challenges by detecting, monitoring, and providing alerts regarding events such as tsunamis and rip currents, while simultaneously providing management capabilities. The company’s solution can easily be deployed using off-the-shelf video cameras, without the need for sensors, edge processors, or customization. SightBit’s core system is based on deep-learning computer vision technology that transmits real-time information to monitors in various control rooms, sounding an alarm when people are in danger, and providing alerts when a system or structure is likely to fail.
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    Linker Vision

    Linker Vision

    Linker Vision

    Linker VisionAI Platform is a comprehensive, end-to-end solution for vision AI, encompassing simulation, training, and deployment to empower smart cities and enterprises. It comprises three core components, Mirra, for synthetic data generation using NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, facilitating data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, enabling large-scale Vision Language Model (VLM) deployment with NVIDIA NIM. This integrated approach allows for the seamless transition from data simulation to real-world application, ensuring that AI models are robust and adaptable. Linker VisionAI Platform supports a range of applications, including traffic and transportation management, worker safety, disaster response, and more, by leveraging urban camera networks and AI to drive responsive decisions.
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    Apollo Autonomous Vehicle Platform
    Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.
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    Neurolabs

    Neurolabs

    Neurolabs

    Industry-leading technology powered by synthetic data for flawless retail execution. The new wave of vision technology for consumer packaged goods. Select from an extensive catalog of over 100,000 SKUs in the Neurolabs platform including top brands such as P&G, Nestlé, Unilever, Coca-Cola, and much more. Your field agents can upload multiple shelf images from mobile devices to our API which will automatically stitch the images together to generate the scene. SKU-level detection provides you with detailed information to compute retail execution KPIs such as out-of-shelf rate, shelf share percentage, competitor price comparison, and so much more! Discover how our cutting-edge image recognition technology can help you maximize store operations, enhance customer experience, and boost profitability. Implement a real-world deployment in less than 1 week. Access image recognition datasets for over 100,000 SKUs.
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    NVIDIA Isaac GR00T
    NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is a research-driven platform for developing general-purpose humanoid robot foundation models and data pipelines. It includes models like Isaac GR00T-N, and synthetic motion blueprints, GR00T-Mimic for augmenting demonstrations, and GR00T-Dreams for generating novel synthetic trajectories, to accelerate humanoid robotics development. Recently, the open source Isaac GR00T N1 foundation model debuted, featuring a dual-system cognitive architecture, a fast-reacting “System 1” action model, and a deliberative, language-enabled “System 2” reasoning model. The updated GR00T N1.5 introduces enhancements such as improved vision-language grounding, better language command following, few-shot adaptability, and new robot embodiment support. Together with tools like Isaac Sim, Lab, and Omniverse, GR00T empowers developers to train, simulate, post-train, and deploy adaptable humanoid agents using both real and synthetic data.
    Starting Price: Free
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    AI Verse

    AI Verse

    AI Verse

    When real-life data capture is challenging, we generate diverse, fully labeled image datasets. Our procedural technology ensures the highest quality, unbiased, labeled synthetic datasets that will improve your computer vision model’s accuracy. AI Verse empowers users with full control over scene parameters, ensuring you can fine-tune the environments for unlimited image generation, giving you an edge in the competitive landscape of computer vision development.
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    OpenCV

    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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    Graymatics

    Graymatics

    Graymatics

    Graymatics provides a cognitive multimedia analytics platform capable of transforming images and videos into meaningful granular data. We primarily offer CCTV based video analytics solutions to enable our clients draw critical insights from existing infrastructure all in detailed dashboards. Graymatics is a leading cognitive media processing company founded in Silicon Valley in 2011. Currently headquartered in Singapore, we are a revolutionary cloud platform that enables automatic analysis and recognition of products within surveillance, telecom, media, advertising, retail and eCommerce. Being one of the few companies in its’ field to offer such in-depth analysis, we offer a unique set of products to clients who might have been used to more traditional technology. Industry expert in video analytics across industries i.e. schools, workplaces and law enforcement. Highly optimized models with minimal hardware requirements in terms of RAM & GPU.
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    CVEDIA

    CVEDIA

    CVEDIA

    CVEDIA-RT is our AI software stack that comes pre-installed with dozens of video analytics and computer vision solutions. It's easy to configure and customize to your use case, even if you're not a data scientist or developer. For a single low price, you have access to all of our AI solutions now and in the future. This means you can discover new use cases and expand your AI capabilities risk-free! If you couldn't find what you are looking for, or you want to run on another device, no problem. We are happy to develop custom solutions based on your requirements. Reach out to us for a free call! What sets us apart from everyone else is our use of synthetic data. Our analytics are more accurate, faster, and affordable than traditional solutions. Your team is busy and deadlines are near, we get it. If you like, we can take care of everything, from development to integration of the analytics. All you have to do is build a product around it!
    Starting Price: Free
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    GPT-4V (Vision)
    GPT-4 with vision (GPT-4V) enables users to instruct GPT-4 to analyze image inputs provided by the user, and is the latest capability we are making broadly available. Incorporating additional modalities (such as image inputs) into large language models (LLMs) is viewed by some as a key frontier in artificial intelligence research and development. Multimodal LLMs offer the possibility of expanding the impact of language-only systems with novel interfaces and capabilities, enabling them to solve new tasks and provide novel experiences for their users. In this system card, we analyze the safety properties of GPT-4V. Our work on safety for GPT-4V builds on the work done for GPT-4 and here we dive deeper into the evaluations, preparation, and mitigation work done specifically for image inputs.
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    BytePlus Effects

    BytePlus Effects

    Byteplus Pte Ltd

    Bring augmented reality experiences to life with our world-class computer vision capabilities. Enables real-time detection of human bodies in images or videos. Supports multi-person detection, half-body detection, position framing and key point output. Detects 18 key points on the human body, including the head, shoulders, feet and others. Tracks movements such as hand raising, bending, jumping and more. Powered by industry-leading algorithms, BytePlus Effects products are highly efficient in computing power consumption, providing unrivaled accuracy and performance. Our software has a proven track record of delivering best-in-class performance, used by apps such as TikTok and Ulike that support hundreds of millions of users. Our engineers continually upgrade algorithms, while our service team provides reliable support.
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    GazeInsight

    GazeInsight

    GazeRecorder

    Our technology turns a simple webcam into a Accurate Eye-Tracker. Advances in machine learning and computer vision, allow us to track eye movements with high precision. You can take your research outside the lab and scale to a large number of participants. Online solutions for remote usability research. It allows you to do UX research both on desktop and mobile remotely. You get high-quality session recordings and see through the users’ eyes. Track consumers’ attention, and get to know your brand perception and marketing communication performance. GazeRecorder is designed to handle any type of content (banners, videos, Live web pages ). You can ask testers across the globe. They only need a computer with a webcam. You will have immediate access to the results. Invite participants to complete tests on their own devices at home. This keeps testers in their natural environment.
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    NVIDIA Isaac Sim
    NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.
    Starting Price: Free
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    Voyager SDK

    Voyager SDK

    Axelera AI

    The Voyager SDK is purpose‑built for Computer Vision at the Edge and enables customers to solve their AI business requirements by effortlessly deploying AI on edge devices. Customers use the SDK to bring their applications into the Metis AI platform and run them on Axelera’s powerful Metis AI Processing Unit (AIPU), whether the application is developed using proprietary or standard industry models. The Voyager SDK offers end‑to‑end integration and is API‑compatible with de facto industry standards, unleashing the potential of the Metis AIPU, delivering high‑performance AI that can be deployed quickly and easily. Developers describe their end‑to‑end application pipelines in a simple, human‑readable, high‑level declarative language, YAML, with one or more neural networks and corresponding pre‑ & post‑processing tasks, including sophisticated image processing operations.
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    GLM-4.6V

    GLM-4.6V

    Zhipu AI

    GLM-4.6V is a state-of-the-art open source multimodal vision-language model from the Z.ai (GLM-V) family designed for reasoning, perception, and action. It ships in two variants: a full-scale version (106B parameters) for cloud or high-performance clusters, and a lightweight “Flash” variant (9B) optimized for local deployment or low-latency use. GLM-4.6V supports a native context window of up to 128K tokens during training, enabling it to process very long documents or multimodal inputs. Crucially, it integrates native Function Calling, meaning the model can take images, screenshots, documents, or other visual media as input directly (without manual text conversion), reason about them, and trigger tool calls, bridging “visual perception” with “executable action.” This enables a wide spectrum of capabilities; interleaved image-and-text content generation (for example, combining document understanding with text summarization or generation of image-annotated responses).
    Starting Price: Free
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    Affectiva

    Affectiva

    iMotions

    Affectiva, now part of the Smart Eye group, is a pioneering company in Emotion AI, dedicated to bridging the gap between humans and machines. Founded in 2009 by Dr. Rana el Kaliouby and Dr. Rosalind Picard, the company developed innovative technology to detect human emotions, cognitive states, and interactions. Affectiva’s Emotion AI is widely used in industries such as media analytics and automotive, with applications ranging from understanding consumer engagement to enhancing driver safety. The company’s cutting-edge technology is based on machine learning, computer vision, and real-world data annotation, all developed with a strong focus on ethical AI practices.
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    Datature

    Datature

    Datature

    Datature is a comprehensive, end-to-end, no-code computer vision and MLOps platform that simplifies the entire deep-learning lifecycle by letting users manage data, annotate images and videos, train models, evaluate performance, and deploy AI vision solutions, all within one unified environment without coding. Its intuitive visual interface and workflow tools guide you through dataset onboarding and annotation (including bounding boxes, segmentation, and advanced labeling), let you build automated training pipelines, monitor model training, and assess model accuracy with rich performance analytics, and then deploy models via API or for edge use so trained models can be used in real-world applications. Designed to democratize access to AI vision, Datature accelerates project timelines by reducing manual coding and debugging, supports collaboration across teams, and accommodates tasks like object detection, classification, semantic segmentation, and video analysis.
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    Tasq.ai

    Tasq.ai

    Tasq.ai

    Tasq.ai delivers a powerful, no-code platform for building hybrid AI workflows that combine state-of-the-art machine learning with global, decentralized human guidance, ensuring unmatched scalability, control, and precision. It enables teams to configure AI pipelines visually, breaking tasks into micro-workflows that layer automated inference and quality-assured human review. This decoupled orchestration supports diverse use cases across text, computer vision, audio, video, and structured data, with rapid deployment, adaptive sampling, and consensus-based validation built in. Key capabilities include global deployment of highly screened contributors (“Tasqers”) for unbiased, high-accuracy annotations; granular task routing and judgment aggregation to meet confidence thresholds; and seamless integration into ML ops pipelines via drag-and-drop customization.
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    Viso Suite

    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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    Command A Vision
    Command A Vision is Cohere’s multimodal AI solution built for enterprise use that combines image understanding with language capabilities to drive business outcomes while keeping compute costs low; it extends the Command family by adding vision comprehension, allowing organizations to interpret and act on visual content in concert with text, and integrates into workplace systems to surface insights, boost productivity, and enable more intelligent search and discovery. The offering is positioned alongside Cohere’s broader AI stack and emphasizes putting AI to work in real-world workflows, helping teams unify multimodal signals, extract actionable meaning from images and associated metadata, and surface relevant business intelligence without excessive infrastructure overhead. Command A Vision excels at understanding and analyzing a wide range of visual and multilingual data, including charts, graphs, tables, and diagrams.
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    Cloudastructure

    Cloudastructure

    Cloudastructure

    Enables a live unified view of multiple sites from any device and history up to 10x faster than on-premises systems. The first cloud-native video surveillance platform with AI and computer vision analytics for better and more cost-effective enterprise security. Eliminates security risks, no video or data is stored or accessed on the network. Significantly reduce IT server management and maintenance costs versus on-premises or hybrid systems. Simplifies site management and provides centralized administration. Scales to an unlimited number of locations and cameras. Cloud video surveillance systems are easy to manage, use and install. The user-friendly interface makes set-up a breeze. No special technical skills are required. Advanced vehicle and people detection, counting, classification, license plate recognition, wrong-way detection, etc. Search by social distance violation, know how many people are in space and their physical distance.
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    Alteia

    Alteia

    Alteia

    Alteia is a leading AI software platform that enables digital transformation through visual data analysis. It is supporting any industry-critical business needs, such as predictive maintenance, safety analysis, productivity management, and yield estimation, thanks to prebuilt, configurable, and high-value AI applications. Alteia combines computer vision and AI technologies that allow it to securely provide various industries with a unified database for all their visual data, and build high-value applications on top of it.
    Starting Price: $1500
  • 31
    Sequretek Percept EDR
    Secure your endpoints with cloud-native Percept EDR - a comprehensive centrally-managed, cross-platform technology with an end-to-end response mechanism to detect and protect against advanced threats. Percept EDR is an intelligent, easy-to-manage, simple-to-deploy product that works efficiently in heterogeneous environments. Percept EDR uses AI-ML and endpoint detection and response (EDR) telemetry analytics for enhanced detection capabilities. It is one of the very few products that features on-agent AI ensuring that devices stay protected even in an offline mode. Percept EDR provides a real-time defense against zero-day threats, advanced persistent threats, ransomware attacks, and any other malicious activities. Beyond advanced threat protection, Percept EDR also integrates components such as device control, application whitelisting, and vulnerability management into a single product with a single dashboard view over your endpoint security.
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    NVIDIA Cosmos
    NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.
    Starting Price: Free
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    Intel SceneScape
    Intel® SceneScape is an advanced software platform designed to create 4D digital twins of physical spaces by processing data from multiple sensors. This innovative platform extends tracking capabilities beyond traditional vision-based AI by enabling real-time monitoring, asset tracking, and predictive decision-making. With its low-code interface and compatibility with various sensors, SceneScape makes it easy to deploy powerful AI solutions across industries like defense, transportation, healthcare, and retail. It provides near real-time tracking and analytics, improving operational efficiency and situational awareness.
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    Xailient

    Xailient

    Xailient

    Always know who’s at your front door. Xailient’s Face Recognition Edge AI technology gives users the ability to recognize peoples’ faces, so they’ll always be able to see who’s visiting. CVOps is a category that describes the enterprise business process, job role, and enabling tools for delivering Computer Vision in production. Orchestrait is the world’s first privacy-safe Face Recognition solution that uses state-of-the-art Edge AI to ensure full compliance with biometric data and privacy protection laws across all jurisdictions. Collect data in a responsible and targeted way. Xailient’s Privacy Safe Data Collection technology allows you to collect only the data that you need. Xailient’s Edge AI technology will know that something is approaching the home from as far away as 8 meters. Motion detection is the first step to completing further detection analysis.
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    Rockfish Data

    Rockfish Data

    Rockfish Data

    Rockfish Data is the industry's first outcome-centric synthetic data generation platform, unlocking the true value of operational data. Rockfish helps enterprises take advantage of siloed data to train ML/AI workflows, produce compelling datasets for product demos, and more. The platform intelligently adapts to and optimizes diverse datasets, seamlessly adjusting to various data types, sources, and structures for maximum efficiency. It focuses on delivering specific, measurable results that drive tangible business value, with a purpose-built architecture emphasizing robust security measures to ensure data integrity and privacy. By operationalizing synthetic data, Rockfish enables organizations to overcome data silos, enhance machine learning and artificial intelligence workflows, and generate high-quality datasets for various applications.
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    YData

    YData

    YData

    Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance.
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    Unleash live
    Unleash live is an A.I. video analytics enterprise solution provider. We take a vision from any camera and combine it with computer vision to deliver actionable data in real-time so that your organization has immediate insights to drive down costs, improve productivity, increase accuracy, and improve safety. Support for a wide range of cameras. Connect any combination of IP/CCTV, drone, body cam, mobile or robotic cameras. Live stream in the field and share it with your team while operations are in progress, or upload footage into your account. Apply A. I Apps from our app store to detect, inspect and monitor objects and items of interest or create 2D orthomaps and 3D models. Integrate results into your operational workflow, from live dashboards, to notifications and API integrations. Take the complexity and time out of collaboration. Instantly connect any mix of cameras to share over a live stream with stakeholders and 3rd parties. No plugs-in, no downloads, all in the browser.
    Starting Price: $99 per month
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    Learnable.ai

    Learnable.ai

    Learnable.ai

    Deep reinforcement learning (DRL) combines the advantages of perception associated with deep learning and the power of sequential decision-making associated with reinforcement learning. Learnable’s DRL AI is able to self-produce extensive simulation data that enables continuous self-upgrade and optimal predictive output. Powered by DRL technologies, Learnable has developed three types of AI models with distinct capabilities. Interactive AI learns through interacting with human users. Based on its sophisticated capability to understand various types of human feedback, Interactive AI effectively builds a cognitive system that can comprehend human intention through interactions, even when such interactions are limited. Like the human brain, eXplainable AI (XAI) is able to comprehend the deep logic of events, actions and rewards. Different from other forms of AI, XAI can explain the reasons behind its decisions.
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    Lightly

    Lightly

    Lightly

    Lightly selects the subset of your data with the biggest impact on model accuracy, allowing you to improve your model iteratively by using the best data for retraining. Get the most out of your data by reducing data redundancy, and bias, and focusing on edge cases. Lightly's algorithms can process lots of data within less than 24 hours. Connect Lightly to your existing cloud buckets and process new data automatically. Use our API to automate the whole data selection process. Use state-of-the-art active learning algorithms. Lightly combines active- and self-supervised learning algorithms for data selection. Use a combination of model predictions, embeddings, and metadata to reach your desired data distribution. Improve your model by better understanding your data distribution, bias, and edge cases. Manage data curation runs and keep track of new data for labeling and model training. Easy installation via a Docker image and cloud storage integration, no data leaves your infrastructure.
    Starting Price: $280 per month
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    Molmo
    Molmo is a family of open, state-of-the-art multimodal AI models developed by the Allen Institute for AI (Ai2). These models are designed to bridge the gap between open and proprietary systems, achieving competitive performance across a wide range of academic benchmarks and human evaluations. Unlike many existing multimodal models that rely heavily on synthetic data from proprietary systems, Molmo is trained entirely on open data, ensuring transparency and reproducibility. A key innovation in Molmo's development is the introduction of PixMo, a novel dataset comprising highly detailed image captions collected from human annotators using speech-based descriptions, as well as 2D pointing data that enables the models to answer questions using both natural language and non-verbal cues. This allows Molmo to interact with its environment in more nuanced ways, such as pointing to objects within images, thereby enhancing its applicability in fields like robotics and augmented reality.
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    Horizon Protocol

    Horizon Protocol

    Horizon Protocol

    Horizon Protocol is a differentiated DeFi platform that extends “mainstream DeFi” (borrowing, lending, liquidity) into the creation of on-chain synthetic assets representing the real economy. Creation and liquidity provision of synthetic assets tied to real-world assets and instruments. Participants reap rewards/fees in tokens for providing stablecoins & main coins to back synthetic assets as well as provide liquidity, with the aim of replicating the price, volatility, and thus the corresponding risk / return / valuation profiles of the underlying assets. An experimental asset verification protocol will be developed to be a part of Horizon to enable verification and synthetic replication of physical assets and other instruments of value in the real world and real economy. Used to connect to price, economic, market, and demand data used to help price the synthetic instruments.
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    Quantarium

    Quantarium

    Quantarium

    Built on the foundation of real AI, Quantarium’s innovative-yet-explainable solutions enable more accurate decision making, comprehensively spanning valuations, analytics, propensity models and portfolio optimization. The most accurate real estate insights into property values and trends instantly. Industry-leading highly scalable and resilient next-generation cloud Infrastructure. Quantarium’s adaptive AI computer vision technology is trained on millions of real estate images, and its knowledge is then incorporated into a range of QVM-based solutions. An asset within the Quantarium Data Lake, our managed data set is the most comprehensive and dynamic in the real estate industry. A machine-generated and AI-enhanced data set, curated by AI scientists, data scientists, software engineers, and industry experts, this is the new standard in real estate information. Quantarium combines deep domain expertise, self-learning technology, and innovative computer vision.
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    Datomize

    Datomize

    Datomize

    Our AI-powered data generation platform enables data analysts and machine learning engineers to maximize the value of their analytical data sets. By leveraging the behavior extracted from existing data, Datomize enables users to generate the exact analytical data sets needed. Equipped with data that comprehensively represent real-world scenarios, users can now gain a far more accurate reflection of reality and make much better decisions. Extract superior insights from your data and develop state-of-the-art AI solutions. Datomize’s AI-powered, generative models create superior synthetic replicas by extracting the behavior from your existing data. Advanced augmentation capabilities enable limitless resizing of your data, while dynamic validation tools visualize the similarity between original and replicated data sets. Datomize’s data-centric approach to machine learning addresses the primary data constraints of training high-performing ML models.
    Starting Price: $720 per month
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    Aindo

    Aindo

    Aindo

    Accelerate time-consuming data processing steps, including structuring, labeling, and preprocessing. Manage your data in one central, easy-to-integrate platform. Increase data accessibility rapidly through privacy-protecting synthetic data and user-friendly exchange platforms. The Aindo synthetic data platform allows you to securely exchange data across departments, with external service providers, partners, and the artificial intelligence community. Explore new synergies through synthetic data exchange and collaboration. Acquire missing data openly and securely. Provide comfort and trust to your clients and stakeholders. The Aindo synthetic data platform removes data inaccuracies and implicit bias for fair and complete insights. Augment information to make databases robust to special events. Balance datasets that misrepresent true populations for a fair and accurate overall depiction. Fill in data gaps in a sound and exact manner.
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    Pangiam Project DARTMOUTH
    Project DARTMOUTH is a collaboration between Pangiam and Google Cloud. It utilizes AI and pattern analysis technologies to digest and analyze vast amounts of data in real-time, identifying potentially prohibited items in carry-on baggage, checked baggage, airline cargo, and shipments. Pangiam's National Security-grade technology, combined with Google Cloud's AI suite, offers an AI-based solution built to open architecture standards, ensuring interoperability with existing hardware and equipment in a "plug and play" manner. This facilitates the quick transformation of security operations through advanced software. The solution runs on open platforms and software, allowing integration with any security technology regardless of manufacturer, enabling scalability across checkpoints and beyond. By deploying software and machine learning models on disconnected edge devices, it brings powerful capabilities to the frontline.
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    Descartes Labs

    Descartes Labs

    Descartes Labs

    The Descartes Labs Platform is designed to answer some of the world’s most complex and pressing geospatial analytics questions. Our customers use the platform to build algorithms and models that transform their businesses quickly, efficiently, and cost-effectively. By giving data scientists and their line-of-business colleagues the best geospatial data and modeling tools in one package, we help turn AI into a core competency. Data science teams can use our scaling infrastructure to design models faster than ever, using our massive data archive or their own. Customers rely on our cloud-based platform to quickly and securely scale computer vision, statistical, and machine learning models to inform business decisions with powerful raster-based analytics. Our extensive API documentation, tutorials, guides and demos provide a deep knowledge base for users allowing them to quickly deploy high-value applications across diverse industries.
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    PetaSAN

    PetaSAN

    PetaSAN

    PetaSAN is a scale-out active/active storage solution offering massive scalability and performance. PetaSAN uses modern cloud based technologies to provide the elasticity and agility to scale up the storage cluster simply by adding more nodes; this can be done at any time and in a truly non-disruptive manner. Although PetaSAN uses different underlying technologies that are inherently complex, it provides an integrated end to end solution that is very easy to install and operate. PetaSAN can be operated by non-Linux admins through its easy to use graphical interfaces while still allowing Linux experts full control if they wish. PetaSAN brings proven technologies powering many of today’s largest clouds to the datacenter with point and click interfaces. At the storage level PetaSAN relies on the Ceph storage engine. Ceph is the leading edge open source SDS cloud storage solution powering many of today’s private clouds and public clouds.
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    Azure Percept

    Azure Percept

    Microsoft

    Azure Percept is a comprehensive, easy-to-use platform with added security for creating edge AI solutions. Start your proof of concept in minutes with hardware accelerators built to integrate seamlessly with Azure AI and Azure IoT services. Azure Percept works out of the box with Azure Cognitive Services, Azure Machine Learning, and other Azure services to deliver vision and audio insights in real-time. End-to-end edge AI platform including hardware accelerators integrated with Azure AI and IoT services. Pre-built AI models and solution management to help you start your proof of concept in minutes. Security measures built in to your edge AI solution to help protect your most sensitive and high-value assets. Start with a library of prebuilt AI models for vision capabilities including object detection, shelf analytics, vehicle analytics, and audio capabilities like voice control and anomaly detection. Customize AI model training with no code and deploy locally or in the cloud.
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    Physna

    Physna

    Physna

    Our industry-leading geometric deep learning technology bridges the gap between physical objects and digital code. We are changing the future of engineering, industrial design and procurement, and putting the power in the hands of innovators and creators, one 3D model at a time. Using proprietary algorithms and advanced geometric deep learning technology, Physna codifies 3D models into detailed data that is understandable by software applications. By enabling 3D models to be treated and analyzed like other code, Physna’s technology bridges the gap between the physical world and digital world of software. Physna analyzes CAD models and other 3D models and creates a codified representation of the model, or the “Physna DNA” of that model. This digitized model allows Physna to show the detailed differences and similarities between models, even incomplete models or models with different file formats. See all components in complex assemblies, even parts contained in other parts.
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    Qwen2-VL

    Qwen2-VL

    Alibaba

    Qwen2-VL is the latest version of the vision language models based on Qwen2 in the Qwen model familities. Compared with Qwen-VL, Qwen2-VL has the capabilities of: SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. Understanding videos of 20 min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc. Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. Multilingual Support: to serve global users, besides English and Chinese, Qwen2-VL now supports the understanding of texts in different languages inside images
    Starting Price: Free