Alternatives to Deep Block

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

By embedding vision capabilities into your apps, you can increase content discovery, automate text extract, analyze video in real-time, and create products that more people will use. Visual data processing can be used to identify content with objects and concepts. It can also generate image descriptions, extract text, and moderate content. It can also be used to understand people's movements in physical spaces. You don't need to have any machine learning skills.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

A class-agnostic, pixel-perfect automated annotation platform. Built for teams that have a lot of data and strict quality requirements but little time. Ground truth creation can be scaled up 10x. Collaborate with unlimited team members, annotators and seamlessly integrate into your deep learning pipeline. Create ground truth 10x faster with pixel-perfect annotations. Use V7's intuitive tools for labeling data and automating your ML pipelines. The ultimate image and Video Annotation Solution

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

Your software can see objects in video and images. A few dozen images can be used to train a computer vision model. This takes less than 24 hours. We support innovators just like you in applying computer vision. Upload files via API or manually, including images, annotations, videos, and audio. There are many annotation formats that we support and it is easy to add training data as you gather it. Roboflow Annotate was designed to make labeling quick and easy. Your team can quickly annotate hundreds upon images in a matter of minutes. You can assess the quality of your data and prepare them for training. Use transformation tools to create new training data. See what configurations result in better model performance. All your experiments can be managed from one central location. You can quickly annotate images right from your browser. Your model can be deployed to the cloud, the edge or the browser. Predict where you need them, in half the time.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

Our Computer Vision API can be easily integrated into your app to add Machine Learning magic. Inferdo is proud of our ability not only to provide state-of the-art, pre-trained deep-learning models but also our ability serve them efficiently at scale. This means that we can pass on the savings to you! We'll take care of the rest by simply sending an image URL to our API. To flag inappropriate content in your images, you can use our Content Moderation API. This model can detect nudity in images and NSFW content, both drawn and real. Compare our API costs with our competitors. Our Image Labeling API allows you to add semantic labels to images. This model can classify thousands upon thousands of unique labels in a variety of categories. Our Face Detection API can be used to locate human faces within your images. You want more information? Use our Face Details API to find out more about faces, gender, age, or other facial features.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

We make it easy for you to add superhuman computer vision into your applications, devices, and processes to give yourself an unassailable competitive edge.

SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services. We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.

Folio3 has a dedicated team of Data Scientists and Consultants who have completed end-to-end projects in machine learning, natural language processing and computer vision. Companies can now use highly customized solutions with advanced Machine Learning capabilities thanks to Artificial Intelligence and Machine Learning algorithms. Computer vision technology has revolutionized the way companies use visual content. It has also made it easier to analyze visual data and introduced new functions that are image-based. Folio3's predictive analytics solutions produce fast and effective results that allow you to identify anomalies and opportunities in your business processes.

Imagga's API allows you to create the next generation image recognition applications. Our machine learning technology allows you to create intelligent apps. Automatically assign tags for your images. A powerful API for image analysis and discovery. Your application can enable product discovery. A powerful API to build visual search capabilities. Your applications can now unlock facial recognition. A powerful API for building facial recognition. Our image A.I. can be trained To organize your photos in your own categories. Automatically categorize all your image content. A powerful API for instant image classification. Automated moderation of adult image content based on state-of-the-art image recognition technology. Beautiful thumbnails automatically generated. Powerful API for content-aware clipping. Let colors add meaning to your product photos. A powerful API for color extraction.

Eden AI streamlines the utilization and implementation of AI technologies through a unique API, seamlessly linked to top-tier AI engines. We value your time, sparing you the hassle of choosing the ideal AI engine for your project and data. Forget about waiting for weeks to switch your AI engine – with us, it's a matter of seconds, and it's completely free. Our commitment is to secure the most cost-effective provider without compromising performance quality.

NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.

Virus API allows you to scan files and identify security problems with content. A Virus Scanning and Reverse Proxy Server protects your web application and web APIs from viruses uploaded automatically. Protect any object or file in Google Cloud Platform (GCP), Cloud Storage automatically from viruses and malware. Protect any SharePoint Document Libraries and Sites from malware and viruses automatically, without code changes, in real-time. Our advanced Deep Learning OCR APIs allow you to convert scanned documents and photos into rich text. Automatically unrotates and unskews the images when necessary. The validation APIs allow you to validate data. Verify that an E-mail address you receive is legitimate. Verify that the domain is legitimate. You can check the IP address and where it is located. The validation API provides all this information and more.

Our clients use visual AI to solve real-world business challenges. Our skilled team of data scientists and machine-learning engineers will quickly train and deliver machine learning models that are highly accurate and precise for visual data. IceCream Labs, the leader in enterprise AI solutions, is a great choice. IceCream Labs offers solutions for retail, digital media, and higher education. The company's expertise lies in the development of machine learning and deep-learning models to solve real business problems using text and image data. IceCream Labs is a good choice if you have visual data such as images, videos and documents. We can help you identify what is in an image or document. IceCream Labs can help you quickly train and deploy machine learning models. Get sales performance improvements across all product lines by talking to our AI experts.

EV Lib is an embedded vision software library that uses deep learning and AI. It includes functionalities for people and vehicles, object detection, identification tracking, 3D pose estimation, and vehicle and object tracking.

Automaton AI's Automaton AI's DNN model and training data management tool, ADVIT, allows you to create, manage, and maintain high-quality models and training data in one place. Automated optimization of data and preparation for each stage of the computer vision pipeline. Automate data labeling and streamline data pipelines in house Automate the management of structured and unstructured video/image/text data and perform automated functions to refine your data before each step in the deep learning pipeline. You can train your own model with accurate data labeling and quality assurance. DNN training requires hyperparameter tuning such as batch size, learning rate, and so on. To improve accuracy, optimize and transfer the learning from trained models. After training, the model can be put into production. ADVIT also does model versioning. Run-time can track model development and accuracy parameters. A pre-trained DNN model can be used to increase the accuracy of your model for auto-labeling.

Deep learning algorithms offer the best accuracy and speed on the market. No development costs required to implement cutting-edge vision automation. Intuitive web interface allows you to create powerful and custom image recognition programs. We constantly improve the underlying machine-learning algorithms to keep you up-to date. Create a custom neural network that recognizes your images. Ximilar acquired Vize to make it faster, more efficient, and add business-critical features. Visit the Ximilar Homepage for more information.

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

Models can be built, trained and deployed in minutes instead of months. Find Anything Fast Start the process by providing a single image of an object. RAIC will search for similar objects within an unlabeled dataset. The results are contextually linked to the original starting image, so you can improve AI by identifying best results using an intuitive human nudge. Identify and Classify Categorize the data based on what you want to detect - it could be a single thing or many things. Once contextually associated with items, RAIC allows you to group and identify them into categories. This will help you feed training. RAIC will then build you a detection model or classification model based on your choice of Quick Train or Deep Train. You can choose between Quick Train for time-critical cases or rapid prototyping, or Deep Train for a more traditional, high accuracy model when time is not a factor.

Paravision is a platform for computer vision developers that powers face recognition applications in mission-critical situations. Our SDK's, API's, and API's provide complete security and frictionless experiences. They are powered by an industry-leading feature list.

Innotescus is an image and video annotation platform that enables collaboration and data handling. It streamlines Computer Vision development through intuitive collaboration features, smart annotation tools and seamless data handling. Its data visualization tools and cross functional collaboration features help to identify data bias early and improve data accuracy. This allows for faster and more cost-efficient deployments of high-performance Artificial Intelligence.

Abacus.AI is the first global end-to-end autonomous AI platform. It enables real-time deep-learning at scale for common enterprise use cases. Our innovative neural architecture search methods allow you to create custom deep learning models and then deploy them on our end-to-end DLOps platform. Our AI engine will increase user engagement by at least 30% through personalized recommendations. Our recommendations are tailored to each user's preferences, which leads to more interaction and conversions. Don't waste your time dealing with data issues. We will automatically set up your data pipelines and retrain the models. To generate recommendations, we use generative modeling. This means that even if you have very little information about a user/item, you won't have a cold start.

Prisma's facial identification system can identify or verify a person using a digital image or a frame from a source video. Facial recognition systems can be used in many ways. However, the basic principle is to compare selected facial features of an image with faces in a database. It can also be described as a biometric AI-based application that can uniquely identify someone by analysing patterns based on facial textures and shapes. The print content would serve as a marker and match the reference image. Image recognition engines can be used to market the brand by linking logos to ads, websites, or information. The process of taking images from mobile devices and matching them with a reference image. Prisma has now made the same image recognition algorithms available for applications, drawing on its many years of experience with image recognition.

You can uncover valuable insights by accurately recognising objects in images or videos. AI can be used to drive value in many areas, including spotting products in the right spot in shopping aisles and surveilling people at events in real-time. You can perform in-depth analysis by placing image objects in the right segments. Insurers can use AI-based algorithms to analyze auto and home damage to make more accurate claims. Get instant insights and take action when it is most important. AI algorithms allow for real-time processing, which can be used for many valuable purposes, such as face recognition. You can identify customer behavior from video and see it in real time. AI can reveal how customers interact and engage with brands and products to provide better experiences. AI-based analytics can be applied to satellite images to detect traffic in real time, analyze parking lots, segment buildings, and more.

Vue.ai, an end-to-end eCommerce platform, is trusted by more than 100+ retailers around the world, including Diesel, Nordstrom and Tata Cliq. Vue.ai is redefining retail with Artificial Intelligence. Vue.ai's products address the biggest problems in retail, using Visual AI and ML algorithms. Our AI platform is used to: Automated catalog management Automated image moderation for marketplaces Automated on-model imagery AI-enabled styling & outfitting AI-enabled dynamic 1:1 personalization Personalized shopper journeys

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

OpenCV (Open Source Computer Vision Library), is an open-source machine learning and computer vision software library. OpenCV was created to provide a common infrastructure to support computer vision applications and accelerate machine perception in commercial products. OpenCV is a BSD-licensed product that makes it easy to modify and use the code by businesses. The library contains more than 2500 optimized algorithms. This includes a comprehensive set both of classic and modern computer vision and machine-learning algorithms. These algorithms can be used for recognizing faces, identifying objects, tracking camera movements, classifying human actions in videos and producing 3D point clouds from stereo-cameras. They can also be used to stitch images together to create a high resolution image of the entire scene, find similar images from a database, remove red eyes from images taken with flash, recognize scenery, and follow eye movements.

Alibaba Cloud Image Search is an intelligent search service that allows users to find similar images. The product is based on machine learning and deeplearning and allows end-users upload a photo or a screenshot to search for desired products and fulfill other requests.

Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.

eCognition Designer is a powerful development environment that allows object-based image analysis. It is used in earth sciences for developing rule sets (or applications to eCognition Architect), for automatic analysis of remote sensing data. eCognition developer can be used for all common remote sensing tasks, such as feature extraction, change detection, vegetation mapping, and object recognition. The object-based approach allows for analysis of all data sources including satellite data, aerial photography, lidar radar, hyperspectral data, and satellite data. eCognition Developer provides a wide range of algorithms that can be used to analyze different aspects of image analysis. You can choose from many segmentation algorithms, such as quadtree, multiresolution, or chessboard.

Nanonets makes it easy to adopt self-service artificial Intelligence by facilitating adoption. You can easily build machine learning models using minimal training data and no prior knowledge of machine learning. We offer the most accurate models at Nanonets. We are always there.

You can classify customer interactions, extract information from text or images and identify and count objects in photos or video. You can even transcribe audio. Follow these simple steps to train your own model or one of our pre-trained AI models. Connect any app to your AI models via an API-ready service or our add-ons Excel and Google Sheets. Predict and train from text, audio, image/video and audio. Native support for English, Spanish, Portuguese, and Portuguese. You can add intention recognition to your conversations, detect emotions, or have your bot reply from a question answering system built with Cogniflow. Support tickets can be automatically classified via email. You can respond faster and more effectively to customer problems. To check compliance, identify the tone and highlight key points of the conversation, you can record your client calls.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

Machine teaching that is highly efficient An annotation tool powered with active learning. Prodigy is a scriptable tool that allows data scientists to do annotations themselves. This allows for a new level in rapid iteration. Transfer learning technologies allow you to train production-quality models using very few examples. Prodigy allows you to take full advantage modern machine learning by using a more agile approach for data collection. You'll be more productive, more independent, and deliver more successful projects. Prodigy combines state-of-the art insights from machine learning with user experience. You are only required to annotate examples that the model doesn't already know. The web application is flexible, powerful, and follows modern UX principles. It's simple to understand: it's designed for you to focus on one decision at the time and keep you clicking, much like Tinder for data.

The platform is easy to use and quick to implement machine learning and computer vision workflows. Sense makes it easy to create and deploy AI IoT solutions on any cloud, edge or on-premise. Learn how Sense makes it easy for AI/ML teams to create and deploy AI IoT solutions to any cloud, the edge or on-premise. It is powerful enough for ML engineers but simple enough for subject matter experts. Sense Data Annotation maximizes the success of your machine-learning models by making it the easiest and fastest way to label image and video data for high-quality training datasets. The Sense platform provides one-touch labeling integration to enable continuous machine learning at edge for simplified management.

Segments.ai allows computer vision experts to quickly iterate between data labeling and model training, as well as failure case discovery.

Luxand FaceSDK, a cutting-edge cross-platform software kit, is designed to deliver high performance face recognition, facial feature detection, and identification. Luxand FaceSDK is a cross-platform software development kit that integrates seamlessly into web, desktop and mobile applications. It enables face-based authentication and automatic face detection and identification, elevating user experience to a new level.

Select categories of interest to optimize detection sensitivity. Combining our detection building blocks to create powerful conditions. Map them to your customized data labels for easy integration into your existing systems. Even if you have limited data, you can detect new custom attributes like SKU or item conditions. With our model's deep understanding, we can deliver incredible accuracy in real-world with just a few pictures. All changes are made on the server, which allows for instant deployment. Using smart or deep links within the app, you can add features and functionality on the fly.

FortressIQ is the industry's most advanced process-intelligence platform. It allows enterprises to decode work and transform experiences. FortressIQ combines innovative computer vision with artificial intelligence to provide unprecedented process insights. It is extremely fast and delivers detail and accuracy that are unattainable using traditional methods. The platform automatically acquires process data across multiple systems. This empowers enterprises to understand, monitor and improve their operations, employee and customer experience, and every business process. FortressIQ was established in 2017 and is supported by Lightspeed Venture Partners and Boldstart Ventures as well as Comcast Ventures and Eniac Ventures. Continuously and automatically identify inefficiencies and process variations to determine optimal process paths and reduce time to automate.

You can train your own models, access pre-trained computer vision models, and templates for creating AI apps. You can start creating your own dataset to detect objects by adding images of the object. Each dataset can contain up to 5000 images. Images are automatically added to your dataset and pushed into training. You will be notified once the model has finished training. To use your model for detection, you can simply download it. For quick coding, you can also add your model to one of our pre-existing templates. Our mobile app, which is available for both Android and IOS, uses the power of computer vision in order to assist people with complete blindness in their daily lives. It can alert you to dangerous objects and signs, recognize common objects, recognize text as well currencies, and understand basic scenarios using deep learning.

BriefCam®, a complete video content analytics platform, drives exponential value from surveillance system investment by making video searchable. It also makes it actionable and quantifiable. VIDEO SYNOPSIS® and Deep Learning solutions combine to enable quick video review, search, face recognition, and quantitative video insights. This technology improves post-event investigation productivity by pinpointing individuals and objects of interest quickly and precisely. Organizations can respond quickly to changes in their environment with real-time alerting capabilities. Users can quantitatively analyze their video by extracting and aggregating video metadata, such as the names of men, women, children and vehicles. BriefCam's video content analytics platform for video content is used by law enforcement, public safety agencies, government and transport agencies, major corporations, healthcare, and educational institutions.

Our nucleus is innovation. Cogito supports AI businesses and business initiatives by deploying a skilled workforce for data annotation, content moderation and any other data processing services. Our data enrichment services offer one-stop solutions to all your data-related requirements. Our highly skilled, scalable and brilliant minds combine their knowledge to quickly meet your needs with precision accuracy while maintaining complete data confidentiality. We specialize in Human Empowered Automation. Our mission is to help customers innovate and scale through solving their daily data problems. We partner with Artificial Intelligence, Technology, and eCommerce clients to create high-quality data sets that can be used to enhance and build cutting-edge business applications. Businesses and AI Enterprises can benefit from cost-effective, high-quality, scalable, and secure data enrichment services.

Human-powered data processing for AI and Automation. Our managed teams have helped hundreds of clients with use cases that range from simple and complex. Our proven processes provide high quality data quickly and can scale to meet your changing needs. Our flexible platform can be integrated with any commercial or proprietary tool so that you can use the right tool for your job. Flexible pricing and contract terms allow you to quickly get started and scale up or down as required without any lock-in. Clients have relied on our IT-Infrastructure to deliver high quality work remotely for nearly a decade. We were able to maintain operations during COVID-19 lockdowns. This allowed us to keep our clients running and added geographic and vendor diversity in their workforces.