Alternatives to Reality AI Tools

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

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    MAGNET Office Takeoff

    MAGNET Office Takeoff

    Topcon Positioning Systems

    With this field, cloud and office software suite, combined with our state-of-the-art instruments and machine control, you can create and access the right data, in the right place, all the time. Our field software is known for being easy to learn and use, and yet powerful enough to meet even the most complex positioning challenges. This office companion to our field solutions generates 3D designs and manages project datasets to improve site management. Streamlined earthworks, paving and surveying workflow applications. Takeoff, 3D constructible model, and survey software. 3D constructible model and survey software. Survey data processing and field-to-finish deliverables. Site layout file preparation. Raw survey data adjustments and processing. Cloud platform to publish and share 3D reality capture data. Process, combine and analyze 3D point clouds from multiple sensors. Machine control file type conversion.
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    SparkPredict

    SparkPredict

    SparkCognition

    SparkPredict, SparkCognition’s analytics solution, is revolutionizing maintenance by minimizing downtime and delivering millions of dollars in operating cost savings. SparkPredict is a turnkey solution that analyzes sensor data and uses machine learning to return actionable insights, flagging suboptimal operations and identifying impending failures before they occur. Equip your operations with predictive AI analytics that protect assets and keep them online. Drive labor efficiencies during downtime with insights that inform repairs. Retain the knowledge of your workforce with machine learning that codifies human expertise. Predict more machine problems with less work and expand asset failure horizons. Take quick, informed repair actions with explainable failure indicators. Maintain predictive accuracy with automatic model retraining that improves models over time.
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    TomorrowThings

    TomorrowThings

    TomorrowThings

    Our intelligent automation SaaS tool creates digital twins of your industrial assets with a push of a button saving up to 90% of your integration costs. Create a digital twin of your technical assets in a one-click fashion with the power of AI. Create real-time virtual replicas of physical assets, processes, and even entire factories. Run simulations to rehearse different scenarios before implementing them in reality. Optimize production lines, predict potential issues, and make data-driven decisions. Collect and analyze data from sensors and machinery providing valuable insights. Blueprints connect machines with a click, enabling customers to collect and transmit data, enhancing decision-making, boosting operational efficiency, and optimizing sustainability. The blueprint technology supports plug-and-produce integrations and promotes interoperability between machine manufacturers and providers of industrial software solutions.
    Starting Price: €15 per month
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    NeuReality

    NeuReality

    NeuReality

    NeuReality accelerates the possibilities of AI by offering a revolutionary solution that lowers the overall complexity, cost, and power consumption. While other companies also develop Deep Learning Accelerators (DLAs) for deployment, no other company connects the dots with a software platform purpose-built to help manage specific hardware infrastructure. NeuReality is the only company that bridges the gap between the infrastructure where AI inference runs and the MLOps ecosystem. NeuReality has developed a new architecture design to exploit the power of DLAs. This architecture enables inference through hardware with AI-over-fabric, an AI hypervisor, and AI-pipeline offload.
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    CircuitLogix

    CircuitLogix

    Logic Design

    It gives you the flexibility to design and test electronic circuits, trying all the "what if" scenarios without ever worrying about faulty parts or bad connections. CircuitLogix supports analog, digital and mixed-signal circuits, and its proven SPICE simulation gives accurate real-world results you can trust. 3DLab is included with both versions of CircuitLogix and is a "virtual reality"-type of lab environment and is designed to closely replicate the appearance and functionality of actual devices and instruments. There are approximately 30 different devices and instruments available in 3DLab, including batteries, switches, meters, lamps, resistors, inductors, capacitors, fuses, oscilloscopes, logic analyzers and frequency counters.
    Starting Price: $145 one-time payment
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    Arena Autonomy OS
    Arena empowers businesses across industries to make high-frequency, critical path decisions fully autonomous. Autopilot for high-frequency business decisions. Similar to a physical robot, Autonomy OS is composed of three components, the sensor, the brain, and the arm. The sensor measures, the brain makes decisions, and the arm takes action. The whole system operates automatically and in real time. Autonomy OS ingests and encodes heterogeneous data with different latency profiles, from streaming real-time and structured time series, to unstructured data like images and text, into features that train machine learning models. Autonomy OS also augments data with contextual data from Arena’s Demand Graph, a daily updating index of factors that affect consumer demand and supply, from product prices and availability by location, to demand proxies from social media platforms. Customer preferences and behaviors change, supply routes are unexpectedly disrupted, and competitors alter strategy.
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    MaestroAR

    MaestroAR

    Mimic Technologies

    MaestroAR® provides procedure-specific learning in 3D augmented reality on both dV-Trainer® and FlexVR™ robotic surgery simulators. Based on recorded surgical procedures, MaestroAR® allows trainees to immerse themselves in the surgery by using the simulator to control virtual robotic instruments to interact with anatomical regions within the augmented 3D video. Maestro AR® provides opportunities to gain procedural familiarity and to develop decision-making skills. Narrated by influential, globally-recognized robotic surgeon educators, the trainee is guided through a complete robot-assisted surgical procedure, step by step. The trainee manipulates virtual 3D robotic instruments in order to answer questions about the procedure, identify and interact with anatomical regions, and perform virtual reality skills exercises.
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    FICO Analytics Workbench
    Predictive Modeling with Machine Learning and Explainable AI. FICO® Analytics Workbench™ is an integrated suite of state-of-the-art analytic authoring tools that empowers companies to improve business decisions across the customer lifecycle. With it, data scientists can build superior decisioning capabilities using a wide range of predictive data modeling tools and algorithms, including the latest machine learning (ML) and explainable artificial intelligence (xAI) approaches. We enhance the best of open source data science and machine learning with innovative intellectual property from FICO to deliver world-class analytic capabilities to discover, combine, and operationalize predictive signals in data. Analytics Workbench is built on the leading FICO® Platform to allow new predictive models and strategies to be deployed into production with ease.
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    ROAR

    ROAR

    ROAR

    Creators, educators and students can leverage the power of easy-to-use ROAR Augmented Reality Editor to launch immersive AR content in just few steps. Merge physical and digital reality through the lens of a smartphone creating an immersive experience for your audience. Web AR, image scanning, object scanning, spatial AR - create augmented reality - no technical skills required. If you want to start an Augmented Reality journey but are not sure what is possible, ROAR is your answer. Inexpensive, efficient, and easy to use - ROAR allows you to create and deploy AR campaigns in minutes. Simply choose to use ROAR out of the box, integrate ROAR scanner SDK into your existing app or White Label ROAR to your Brand. Scale your digital content using ROAR Augmented Reality and engage your consumers in a more immersive way.
    Starting Price: $50 per month
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    Amazon SageMaker Feature Store
    Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. Features are used repeatedly by multiple teams and feature quality is critical to ensure a highly accurate model. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. SageMaker Feature Store provides a secured and unified store for feature use across the ML lifecycle. Store, share, and manage ML model features for training and inference to promote feature reuse across ML applications. Ingest features from any data source including streaming and batch such as application logs, service logs, clickstreams, sensors, etc.
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    Agri-SCM

    Agri-SCM

    Agri-SCM

    Agri-SCM can be used easily without any training required. Anyone can immediately use this solution with our user-friendly interface. Agri-SCM provides a way to collect data: voice recording, photo &video capture, sensor real-time data collecting, friendly select box, etc. An IoT system was integrated to create a real-time stream of input data by sensors. All farming conditions data will be sent automatically to analyze and predict models. Applying the techniques of Data Science, artificial intelligence, and machine learning, we are offering a system with smart insight to give users valuable reports of the farm and the compliance status.
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    Puaerte Visual

    Puaerte Visual

    Puaerte Visual

    Puaerte Visual is an immersive design-tech company dedicated to achieving real-world results from technology-enabled solutions. We help the clients with planning, implementation, and management for their business transformations. Multi-delivery choices, integration of new and emerging technologies, and leveraging technologies such as Augmented Reality, Virtual Reality, Mixed Reality, and Metaverse, as well as the potential of Artificial Intelligence and Machine Learning, are all part of this strategy. Our main purpose is to help our clients in achieving long-term success. Puaerte Visual creates custom solutions using Extended Reality technologies. Our experts can deliver the most possible solutions faster than any other professional service organisation since we have a deep technical understanding of these technologies paired with rigorous project management and technical approach.
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    ClearPredictions.com

    ClearPredictions.com

    ClearPredictions.com

    ClearPredictions offers organizations huge opportunities to gain a competitive advantage with their data. We deliver actionable customer behavior predictions with powerful, yet easy to use, machine learning technology. Out-of-the-box, scientifically proven machine learning algorithms without the need for data scientists. Save costs and accelerate growth with the minimum implementation or run and maintain costs. Predictive insights and lightning-fast actionable predictions, up and running within days! Having predictive capabilities should no longer require an expensive team of data scientists and resources. Our aim is to help businesses unlock the power of machine learning and improve decision-making with greater ease. We provide software and services that allow you to rapidly build predictive models with a minimum of data science knowledge.
    Starting Price: $95 per month
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    Edge Impulse

    Edge Impulse

    Edge Impulse

    Build advanced embedded machine learning applications without a PhD. Collect sensor, audio, or camera data directly from devices, files, or cloud integrations to build custom datasets. Leverage automatic labeling tools from object detection to audio segmentation. Set up and run reusable scripted operations that transform your input data on large sets of data in parallel by using our cloud infrastructure. Integrate custom data sources, CI/CD tools, and deployment pipelines with open APIs. Accelerate custom ML pipeline development with ready-to-use DSP and ML algorithms. Make hardware decisions based on device performance and flash/RAM every step of the way. Customize DSP feature extraction algorithms and create custom machine learning models with Keras APIs. Fine-tune your production model with visualized insights on datasets, model performance, and memory. Find the perfect balance between DSP configuration and model architecture, all budgeted against memory and latency constraints.
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    Datoin

    Datoin

    Datoin

    Datoin removes the barrier to entry into Machine Learning using Graphical Interface and No-Code approach. It is designed to rapidly translate your vision into reality. The best way to cut the cost is to re-use over and over again. The Datoin’s Block Superstore offers a large pool of blocks ranging from enterprise software connectors, ETL tools, machine learning libraries, NLP libraries, cloud services integration, SaaS APIs etc. Goodness with Datoin is, as we cover more and more use cases, the blocks are added to the store. The pre-built machine learning models eliminate the need to train first and helps to get started quickly. We have built and building blocks that solve common problems across industries and functional area. If you are unsure about specific functionality, efficacy etc, quickly try them out by editing existing apps.
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    Leica Cyclone

    Leica Cyclone

    Leica Geosystems

    As the market leader in reality capture software, Leica Geosystems has pioneered products that enable users to capture, prepare, manage, and analyze reality capture data efficiently and professionally. From the moment you begin capturing 3D data to 3D model creation, analysis, and collaboration with clients, Leica Geosystems software seamlessly empowers users at all workflow stages. High-quality deliverables begin with high-quality data. Capture the right data and start working with it immediately by connecting directly to your laser scanner for device control, pre-aligning data, capturing GeoTags, and even preparing floor plans in the field, all with best-practice data retention. Prepare point cloud data in the field, conduct final registration, and publish with Leica Geosystems reality capture software. Leica Cyclone connects to your sensor and Cyclone FIELD 360 so you can stream data and take fast and full advantage of fieldwork.
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    hIOTron

    hIOTron

    hIOTron

    hIOTron's machine monitoring product is a comprehensive solution that enables you to monitor and analyze your industrial machines in real-time. With this product, you can track machine performance, detect anomalies, predict failures, and schedule maintenance activities to improve uptime and reduce downtime. The machine monitoring product consists of a range of sensors and devices that collect data from your machines, such as temperature, pressure, vibration, and other operational parameters. This data is then transmitted to a central hub where it is analyzed using advanced analytics and machine learning algorithms to identify patterns and trends. hIOTron platform provides a user-friendly dashboard that displays real-time machine data, key performance indicators, and alerts. It also provides reports and analytics to help you understand your machine performance and identify areas for improvement.
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    Amazon Lookout for Equipment
    Use data from existing sensors to create machine learning (ML) models specific to your equipment. Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors. Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected. Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback. Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime. Avoid unplanned downtime by automatically detecting abnormal equipment behavior. Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required.
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    Censius AI Observability Platform
    Censius is an innovative startup in the machine learning and AI space. We bring AI observability to enterprise ML teams. Ensuring that ML models' performance is in check is imperative with the extensive use of machine learning models. Censius is an AI Observability Platform that helps organizations of all scales confidently make their machine-learning models work in production. The company launched its flagship AI observability platform that helps bring accountability and explainability to data science projects. A comprehensive ML monitoring solution helps proactively monitor entire ML pipelines to detect and fix ML issues such as drift, skew, data integrity, and data quality issues. Upon integrating Censius, you can: 1. Monitor and log the necessary model vitals 2. Reduce time-to-recover by detecting issues precisely 3. Explain issues and recovery strategies to stakeholders 4. Explain model decisions 5. Reduce downtime for end-users 6. Build customer trust
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    Accedian Skylight
    Skylight delivers high-performance network and user experience monitoring, for any application, any cloud, and any network. Skylight is a virtualized performance assurance platform, delivering end-to-end network, application, and service performance visibility, right from the user edge to the core network and cloud. Skylight proactively ensures networks and cloud applications meet increasingly stringent performance requirements, optimize network capacity and meet demanding customer expectations on quality of experience. Skylight leverages its high-quality performance data, analytics, and machine learning to identify, predict and prevent customer-impacting issues. Collect granular and precise network, application, and service data with Skylight sensors. Skylight sensors come in a variety of forms, both software & hardware. This allows you to place Skylight sensor capabilities anywhere in the network from remote locations to the cloud, and everywhere in between.
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    AUGmentecture

    AUGmentecture

    AUGmentecture

    A Patent Pending augmented reality communication and collaboration tool for architectural, engineering, and construction industries. AUGmentecture is an augmented reality platform for design collaboration that enables the viewing of 3D models in augmented reality (AR) format. Over 10,000 users and over 500,000 models viewed, AUGmentecture is the only augmented reality application that is effortless, rapid in converting models, and consistent in the market. One of the leading applications in the AR space, the AUGmentecture app is rated as the highest start in the Autodesk App Store as well as Android and iOS stores. Architects, engineers, and design professionals are using the AUGmentecture platform to display their 3D models in augmented reality on mobile devices and share them with colleagues. Our goal is to make augmented reality a day to day design communication and collaboration tool for architects, designers, and artists to simply Design, Upload, and View their models on
    Starting Price: $15/month/user
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    Quantmatix

    Quantmatix

    Quantmatix

    Quantmatix is an AI-powered investment research and market intelligence platform that combines decades of market expertise with advanced machine learning to deliver objective, data-driven insights, predictive signals, and portfolio analytics designed to help users time entry and exit points, optimize asset allocation, and manage risk across global financial markets. It continuously analyzes thousands of instruments in real time, generating high-precision trading and momentum signals, such as proprietary Q-Scores, trend exhaustion and reversal indicators, and cluster signals, and provides tools like global multi-asset screeners, instrument ranking, and sentiment analysis to surface high-conviction opportunities and thematic trends. Quantmatix’s technology integrates AI-derived timing algorithms with big data analytics to enhance return potential, reduce emotional bias, and support disciplined decision-making for equities, fixed income, FX, crypto, and commodities.
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    LiteRT

    LiteRT

    Google

    LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.
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    ScoopML

    ScoopML

    ScoopML

    Easy-to-Use Build advanced predictive models without math & coding - in just a few clicks. Complete Experience. From cleaning data to building models to making predictions, we provide you all. Trustworthy. Know the 'why' behind AI decisions and drive business with actionable insights. Data Analytics in minutes, without writing code. The total process of building ML algorithms, explaining results, and predicting outcomes in one single click. Machine Learning in 3 Steps. Go from raw data to actionable analytics without writing a single line of code. Upload your data. Ask questions in plain english. Get the best performing model for your data and Share your results. Increase Customer Productivity. We help Companies to leverage no code Machine learning to improve their Customer Experience.
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    GRAHAs VR

    GRAHAs VR

    GRAHAs VR

    Extended Reality (XR) - Virtual & Augmented Reality (VR & AR) based training solution for up skilling and reskilling of the Enterprise Workforce. GRAHAs VR is one of the pioneers in the Virtual Reality domain from Chennai, India. We help the Industries & Enterprises reduce their training related costs to more than 50% on the current expenses with our Virtual Reality based solution. We help in the upskilling and reskilling of the Industrial & Enterprise workforce with our tailor made VR / AR Solution. We tailor make XR - Virtual Reality, Augmented Reality & Mixed Reality solution for various applications across the Enterprise Sector for use cases and applications like Training, Onboarding, Marketing, R & D etc. We recreate the existing training practices into a 3D based VR / AR Module which is more immersive and helps the workforce learn better using the learn by doing methodology.
    Starting Price: $50/user/month
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    Sensorita

    Sensorita

    Sensorita

    Sensorita develops a sensor designed to endure extreme environments, such as construction sites. We have developed new sensor technology to measure fill-levels in large waste containers. The technology is based on research from the Norwegian University of Life Sciences and is the first sensor on the market specifically made for the big container segment. Senorita’s unique approach to fill-level measuring enables highly accurate and reliable results. By using the robustness of radar signals combined with cutting-edge machine learning algorithms, we are able to make it possible to measure fill levels in all kinds of big containers, even those without a lid. Sensorita’s solution will let you know how the container is filling up and when we predict that it's due for pick-up, based on AI and historical data. What if you could offer your customers to never think about container capacity again? With Sensorita’s solution, you will always know exactly when to collect the waste.
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    Connexun

    Connexun

    connexun

    B.I.R.B.AL., our proprietary artificial intelligence engine, has been trained by using a database with over a million articles in different languages, applying state of the art models of Natural Language Processing (NLP). B.I.R.B.AL.’s technology includes machine learning classification, interlanguage clustering, news topics ranking, extraction-based summarization and other features to help filter news for different types of users and for different types of applications. B.I.R.B.AL. uses supervised and unsupervised machine learning algorithms powered by Deep Learning. Go beyond online content monitoring using our artificial intelligence and predict the most relevant topics on the web. Gain strategic insights by collecting and studying extended amounts of data and information. Broaden your financial analysis with rich web data sets. Understand performance trends with a new instrument and apply structured web data to your predictive analytics and risk modeling.
    Starting Price: $9.99 per month
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    Lattice for Command & Control
    It enables men and women in uniform to move with machine speed, unparalleled confidence, and military-grade security by turning data into information, information into decisions, and decisions into actions across tactical and strategic operations. Lattice accelerates complex kill chains by orchestrating machine-to-machine tasks at scales and speeds beyond human capacity. Lattice cuts through the noise and creates a shared real-time understanding of the battlespace. It autonomously parses data from thousands of sensors & data sources into an intelligent common operating picture in a single pane of glass. Lattice uses technologies like sensor fusion, computer vision, edge computing, and machine learning, and artificial intelligence to detect, track, and classify every object of interest in an operator's vicinity. Lattice can scale to integrate thousands of sensors and effectors globally across multiple domains.
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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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    ContextCapture

    ContextCapture

    Bentley Systems

    Create 3D models from simple photographs and/or point clouds. Reality modeling is the process of capturing the physical reality of an infrastructure asset, creating a representation of it, and maintaining it through continuous surveys. Bentley's reality modeling software, ContextCapture, provides you with real-world digital context in the form of a 3D reality mesh. A reality mesh is a 3D model of real-world conditions that contains large amounts of triangles and image data. Each digital component can be automatically recognized and/or geospatially referenced, providing you with an intuitive and immersive way to navigate, find, view, and query your asset information. You can use reality meshes in many engineering, maintenance, or GIS workflows to provide precise real-world digital context for design, construction, and operations decisions. Overlapping photos from drones and ground-level imagery, supplemented by laser scans where needed.
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    Infor IoT
    Infor Internet of Things (IoT) delivers secure sensor data ingestion—at scale from anywhere. With Infor IoT, sensor data is synchronized with Infor CloudSuite™ EAM information, bringing deeper context into asset health monitoring. This contextual information drives better exception detection, workflows, reporting, data analytics, and machine learning. Infor IoT’s sensor readings are stored in the Infor Data Lake, allowing myriad possibilities for richer IoT data consumption. Device data can also be augmented with attributes and metadata that enable advanced search and device management capabilities. Monitor telemetry in near real-time with the rule engine, use device templates to simplify device configuration and onboarding, experience a portal architecture designed for scale and leverage a flexible condition and action rule editor.
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    Vesper Marine Cortex
    Cortex Onboard is free with your Cortex. Use it to configure your Cortex Hub and download updates to your Cortex devices with new features and improvements. You can also use Cortex Onboard to receive and manage alerts, view AIS information, and instrument data anywhere onboard your boat. View out-of-the-box sensors or NMEA 2000 networked instruments. Use Cortex Onboard to configure and update your Cortex devices easily. View AIS information and receive alerts onboard directly to your device. Use the Cortex Hub’s built-in sensors for battery level, barometric pressure, and boat position. Connect your Cortex Hub to NMEA 2000, or an external sensor, to add monitoring for wind, depth, bilge high water, temperature, shore power, or security.
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    Amazon EC2 G4 Instances
    Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. Both G4dn and G4ad instances support Amazon Elastic Inference, allowing users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and reduce deep learning inference costs. They are available in various sizes to accommodate different performance needs and are integrated with AWS services such as Amazon SageMaker, Amazon ECS, and Amazon EKS.
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    LidarView

    LidarView

    Kitware

    LidarView is an open source platform developed by Kitware for real-time visualization, recording, and processing of 3D LiDAR data. Built atop ParaView, it efficiently renders large point clouds and offers features such as 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for attributes like timestamp and azimuth, and the ability to display multiple data frames simultaneously. Users can input data from live sensor streams or recorded .pcap files, apply 3D transformations to point clouds and manage subsets of laser data. LidarView supports various sensors, including models from Velodyne, Hesai, Robosense, Livox, and Leishen, enabling visualization of live streams and replaying of recorded data. The platform integrates advanced algorithms for Simultaneous Localization and Mapping (SLAM), facilitating accurate environmental reconstruction and sensor localization. It also incorporates AI and machine learning capabilities for scene classification.
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    Rendered.ai

    Rendered.ai

    Rendered.ai

    Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs​. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types​. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment​. Enable collaboration between data scientists and data engineers with a no-code configuration experience.
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    Hawk

    Hawk

    Hawk.ai

    Hawk AI combines AI with traditional rule-based approaches to monitor financial transactions in real-time, delivering next-generation anti-money laundering compliance for financial institutions. The solution offers classic rule-based models, which are enhanced by auto-closing features based on machine learning models that learn from the investigator’s own decisions through our case manager. Hawk AI uses an unsupervised machine learning model, Anomaly Detection, to identify new patterns of crime through insights from the overarching nature of the platform spanning multiple financial institutions. The platform provides full transparency of machine decisions to deliver the necessary clarity for regulators that require “explainable AI”, as well as instill trust in the machine's decisions. Using Artificial Intelligence to maximize automation, Hawk AI delivers a significant cost benefit through an up to 70% reduction of required resources.
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    Oracle Data Science
    A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning (ML) models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models. Using cloud-based platforms to discover new business insights. Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results.
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    Mirai

    Mirai

    Mirai

    Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements.
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    Litmus Edge
    Litmus Edge is a hardware‑agnostic industrial data platform deployed at the edge to connect to virtually any industrial asset. Using a large library of pre‑built drivers, it rapidly ingests data from PLCs, SCADA, MES, historians and sensors, then normalizes and contextualizes that data for analytics and control. The platform delivers real‑time KPIs and dashboards at the edge, supports running analytics and machine‑learning models close to the machines, and publishes ready‑to‑use data to cloud, big‑data and business applications. This gives manufacturers a scalable foundation for smart manufacturing and Industrial IoT programs. Designed for engineers modernizing OT systems: - 250+ drivers - MQTT/Kafka/REST ingestion - Data modeling + transformations - Edge ML/SLM runtime - Container support - Secure cloud connectors - Fleet management
    Starting Price: 15000/5k data points/site
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    LotusEye

    LotusEye

    LotusEye

    LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.
    Starting Price: $13 per month
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    ClaimBuster

    ClaimBuster

    ClaimBuster

    ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then it has steadily made progress towards the holy grail of automated fact-checking. ClaimBuster is mainly used by journalists, but in reality, anyone interested in tackling misinformation can make use of it. Our API provides easy access to our models and is accessible by just registering for a free API key. ClaimBuster is made possible by human data-labeling contributions. Feel free to sign up for an account and begin labeling to help us deliver better models. We have also open-sourced our machine learning model training code, so if you are a savvy AI engineer feel free to make contributions there as well. Our claim-spotting model re-tweets tweets it thinks may need fact-checking.
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    Actcast

    Actcast

    Actcast

    Actcast is an edge-AI IoT platform service that links events and data from the physical world to the Web by performing deep learning inference on edge devices, enabling real-time sensing, analysis, and integration of physical data with online systems while reducing data transfer costs and privacy risks. It uses edge computing to run deep learning models locally on low-cost hardware such as Raspberry Pi, converting raw sensor and camera input into actionable, semantic data that can be sent to web services or applications. It supports deployment, remote management, and monitoring of IoT applications (“Acts”) across many devices, and provides tools such as an SDK and command-line interface to develop, package, and deploy applications in Docker containers that process input and send summarized results. Actcast also includes features for managing device groups, configuring triggers and webhooks to notify events, and handling updates and device status from a centralized dashboard.
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    Exafunction

    Exafunction

    Exafunction

    Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clusters and fine-tuning performance. In most deep learning applications, CPU, I/O, and network bottlenecks lead to poor utilization of GPU hardware. Exafunction moves any GPU code to highly utilized remote resources, even spot instances. Your core logic remains an inexpensive CPU instance. Exafunction is battle-tested on applications like large-scale autonomous vehicle simulation. These workloads have complex custom models, require numerical reproducibility, and use thousands of GPUs concurrently. Exafunction supports models from major deep learning frameworks and inference runtimes. Models and dependencies like custom operators are versioned so you can always be confident you’re getting the right results.
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    Aircada Pro
    Aircada Pro makes it easy to create augmented reality HMIs and overlay existing SCADA data above each piece of equipment. Workers can harness their phone’s camera to view their data in real-time, gaining access to each of the machines’ schematics, historical data, analytics, and more. Aircada Pro offers several features including: -Live in the field data monitoring. -Augmented reality tasks and work orders. -Alarms for fast response troubleshooting. -Facility map to search and locate all assets. -Messenger for efficient team communication. -Customizable virtual reality SCADA displays. With Aircada Pro and augmented reality, maintenance teams will now have all the information they need, live in the field, to safely, quickly, and enjoyably get the job done.
    Starting Price: $89/month/user
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    DataGroomr

    DataGroomr

    DataGroomr

    Deduplicate Salesforce the Easy Way. DataGroomr leverages Machine Learning to detect duplicate Salesforce records automatically. Duplicate records are loaded into a queue for users to compare records side-by-side, select which values to retain, append new values and merge. DataGroomr has everything you need to find, merge and get rid of dupes for good. No need to set up complex rules, DataGroomr's Machine Learning algorithms do the work for you. Conveniently merge duplicate records as-you-go or merge en masse, all directly from within the app. Select field values for master record or use inline editing to define new values as you deduplicate. Don't want to review org-wide duplicates? Define your own dataset by region, industry or any Salesforce field. Leverage the import wizard to deduplicate, merge and append records while importing to Salesforce. Set up automated duplication reports and mass merge tasks at a frequency that fits your schedule.
    Starting Price: $99 per user per year
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    QuantaVerse

    QuantaVerse

    QuantaVerse

    The QuantaVerse Financial Crime Investigation Platform uses RPA, AI, and machine learning to automate data gathering, identify financial crime and document findings. Our solutions have proven to make AML case adjudication and reporting more effective and more efficient. Comprehensive data gathering and validated analytics deliver the consistent findings and uniform reporting you and your regulators require. Multiply the efficiency of your investigation team by eliminating up to 40% of false positives before they’re generated and by cutting 70% of investigation time through automation of data gathering and analysis. Create consistency across your AML/BSA program with innovative solutions that deliver the timely, transparent, and fully-explainable findings that regulators expect. Find the risk your current systems are missing and drive criminals and terrorist organizations out of your institution.
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    Syncron Uptime
    Empower your engineers with the digital capabilities they need to predict and prevent asset downtime. Increase machine availability and asset reliability. Enable proactive maintenance and PaaS offerings. Reduce break-fix and repair expenditures. Optimize resource allocation. Improve the quality of service and customer experience. Machine availability is paramount to your customer’s success and traditional break-fix service models cannot keep pace as asset downtime can induce millions of dollars of lost output. To meet these new service demands and migrate toward a more proactive service model, it’s critical to invest in advanced technology that not only collects IoT sensor data but also runs analytics on that data to detect anomalies and prognosticate failures. Utilizing such a solution will allow you to promote high equipment availability and deliver service excellence through intelligent repair.
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    HigherL LMS
    higherL’s leading-edge technology-enabled custom learning solutions accommodate virtually any educational and training requirement. Developed with today’s educators, entrepreneurs, and corporate trainers in mind, higherL offers you a powerful learning methodology coupled with advanced modular course management tools including virtual and augmented reality, authoring, and custom content management delivered in a highly versatile, easy-to-use enterprise-grade package. Extended reality (XR) is a powerful tool for many types of learning programs. By incorporating virtual reality (VR), augmented reality (AR), and 360-degree video, XR applications open the door to a wide range of digital learning experiences. Our team draws on 20+ years of curriculum experience to deliver interactive, media-rich content that is essential to engage today’s learners at any age, on time and within budget.
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    Furniture AR
    Technologies that people once dreamed of are now at everyone's fingertips. The list of unprecedented technologies such as artificial intelligence, machine learning, blockchain, autonomous vehicles, and CRISPR goes on and on. Augmented reality (AR) is one of the revolutionary technologies for commerce in 2021. AR allows customers to view and personalize products in three dimensions. If you want to turn the disadvantage of ' buying without seeing ' into an advantage and increase your sales, offer a unique experience to your customers with the Furniture AR augmented reality ( AR ) platform. According to Mobile Marketer's report, sellers are gradually adopting AR in the purchasing process. Currently, only 1% of Sellers use AR or VR (Virtual Reality) for purchases. For sellers who make most of their sales online, AR can help customers more accurately understand how a product looks and feels in or near their home.
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    Digital Teamboard

    Digital Teamboard

    Shopfoor Management Systems GmbH

    SFM Systems is a production and digital shop floor management software company from Darmstadt. Our Digital Teamboard software offers manufacturing companies the means to detect deviations and solve problems by utilising data analytics, systematic problem solving and machine learning. Essentially, it is a cloud-based software solution that provides a single point of access for all shopfloor data. The software can collect data from a variety of sources, including machines, sensors, and operators. This data is then aggregated and visualized in a way that is easy to understand and use. This helps companies to improve productivity, quality, and efficiency by providing real-time visibility into production data and enabling continuous improvement initiatives on the shop floor.