Alternatives to Scale Data Engine

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.

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.

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

Annotation solutions that are end to end, scalable and offer high accuracy & speed of turnaround. 2D/3D bounding box, polygons and polylines, landmarks & semantic segmentation to serve use cases from LiDAR to Geo-spatial imagery. Zuru's teams are working on complex computer vision algorithms that have edge cases and taxonomies. Text annotations are available in all major languages, including Bahasa, Cantonese and Hungarian. Experts in linguistic labelling who have annotated over 10 million data points across industries from Retail to BFSI and Healthcare. Zuru's team has done it all, whether it was sophisticated labelling for automation in customer centres, basic transcription or Audio diarization. Multilingual translators & interpreters workforce with a wide range of accents & dialects to help AI teams understand cultural nuances across languages and geographies.

Curate the most valuable unlabeled datasets to maximize domain coverage and improve models. Register your metadata with Dioptra and your data will stay with you. A data-centric toolkit can help you identify the root cause of model failures and regressions. Active learning miners allow you to sample the most valuable unlabeled datasets. Use Dioptra APIs to integrate your labeling and training stack. Curate data at scale and systematically for your use case. Open source data curation and management for computer vision (including NLP), LLMs, and NLP. We helped our customers improve the accuracy of their models on hard cases, reduce their training cycles, as well as reduce labeling costs.

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.

Superb AI offers a new generation of machine learning data platform to AI team members so they can create better AI in a shorter time. The Superb AI Suite, an enterprise SaaS platform, was created to aid ML engineers, product teams and data annotators in creating efficient training data workflows that save time and money. Superb AI can help ML teams save more than 50% on managing training data. Our customers have averaged a 80% reduction in the time it takes for models to be trained. Fully managed workforce, powerful labeling and training data quality control tools, pre-trained models predictions, advanced auto-labeling and filtering your datasets, data source and integration, robust developer tools, ML work flow integrations and many other benefits. Superb AI makes it easier to manage your training data. Superb AI provides enterprise-level features to every layer of an ML organization.

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.

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.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

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.

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.

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.

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

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.

Quick Terrain Modeler is a 3D point cloud software and terrain visualization tool developed by Applied Imagery for efficient LiDAR data exploitation. It has a user-friendly GUI that allows users to work on large 3D datasets and perform rapid analyses. Users can also export a variety products with minimal training. The software can convert data from different coordinate systems and multiple data sources including LiDAR and photogrammetry. The software's key features include the visualization of large amounts of 3D data, in point cloud or model surface formats, interactive inspection tools and 3D editing capabilities. It also includes automatic point cloud classification. Quick Terrain Modeler works with Windows operating systems. It offers a free version to test its capabilities.

We license AI software across the L2-L4 autonomous stack, including perception, intent modeling and path planning. Perception and intent prediction with the highest accuracy, leading to safer autonomous systems. Unsupervised learning allows for learning from large datasets. Our technologies are capital-efficient by several orders of magnitude, enabling a much lower cost of developing. Helm.ai's full scene vision-based segmentation combined with Ouster's Lidar SLAM output. Helm.ai L2+ autonomous driving across highways 280, 92, 101 and lane-keeping with ACC lane changes. Helm.ai pedestrian segmentation with key-point predictions. Pedestrian segmentation with keypoint detection. Corner cases for rain lane detection and Lidar-vision Fusion. Full scene semantic segmentation. Botts dots and faded lane markings.

Ideal for 3D site design, stockpile volumes calculations, mine surveying. Quantity takeoffs, pad design, pond design, geological map, surface contouring and visualization, as well as landfill site design. This includes functions for surveying, coordinate geometry and image manipulation, digital terrain modeling and contouring, volume, earthwork calculations, design and grading, visualization, and report generation. You can create surface models using large UAV and LiDAR datasets. You have complete control over the point data thinning process. You can thin to polygons and corridors, coordinates areas, or exterior regions. Import and management a variety survey and file formats, such as total station, LiDAR and ASCII, DWG and DGN, USGS DEMs, LandXMl, and image formats (TIFF and BMP, JPG). The total station data can be imported with automatic control over linear features, breaklines, and symbology. Live Maps allows you to import georeferenced background imagery.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

Our AI Training Data Platform combines the best of data annotators and computer vision capabilities, with the power of the AI Community of professional annotations. GT Manage: Our proprietary platform manager for our 1M+ community. GT Annotate is our proprietary data annotation software. GT Data: Our global expertise for data collection and creation. Human-powered AI is the foundation of all AI. Our fully automated platform allows sophisticated data annotation across data types, all within the same software. It also provides seamless project and AI Community Management. Ground Truth (GT Annotate) is our proprietary software for data annotation. It was carefully designed to allow teams to create quality AI training datasets quickly and accurately. Below are some examples of how the technology is used.

Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams.

Multiple sensors, including radar, cameras, LiDAR, and cameras, collect environmental data around the vehicle. Sensor fusion technology perception algorithms can detect in real-time the type, location and velocity of objects on the road using sensor fusion technology. This autonomous perception system is supported by both Baidu's deep learning and big data technologies. It also has access to a large collection of real-world labeled driving data. The large-scale deep-learning platform, GPU clusters. Simulating allows you to drive millions of kilometers every day using a variety of real-world traffic and autonomous driving data. Partner can access a large number autonomous driving scenes through the simulation service to quickly test, validate and optimize models in a safe and efficient manner.

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.

The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page.

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

T-Rex Label, an intelligent tool for complex scenario annotation that is applicable to various industries, is designed for complex scenarios. It is the best option for those who want to streamline their workflows, and create high-quality data sets. T-Rex's visual prompts allow it to predict multiple bounding boxes quickly in a single action, making it perfect for annotating dense and complex scenes. T-Rex's zero-shot detection ability allows it to annotate complex scenes across industries, without the need for fine-tuning. It supports diverse applications ranging in scope from agriculture to logistics. T-Rex helps algorithm engineers and researchers to speed up their annotation workflows. This allows them to create high-quality datasets. T-Rex2 is a significant step in the direction of more flexible and generic object detection, by leveraging complementary strengths from language and vision.

Supercharge your AI with human expertise. SUPA is here to help you streamline your data at any stage: collection, curation, annotation, model validation and human feedback. Better data, better AI. SUPA is trusted by AI teams to solve their human data needs.

Aquarium's embedding technologies surface the biggest problems with your model and find the right data to fix them. You can unlock the power of neural networks embeddings, without having to worry about infrastructure maintenance or debugging embeddings. Find the most critical patterns in your dataset. Understanding the long tail of edge case issues and deciding which issues to tackle first. Search through large datasets without labels to find edge cases. With few-shot learning, you can quickly create new classes by using a few examples. We offer more value the more data you provide. Aquarium scales reliably to datasets with hundreds of millions of points of data. Aquarium offers customer success syncs and user training as well as solutions engineering resources to help customers maximize their value. We offer an anonymous mode to organizations who wish to use Aquarium without exposing sensitive data.

LidarView, an open-source platform by Kitware, is designed for the real-time recording, visualization, and processing 3D LiDAR data. It is built on ParaView and renders large point cloud data efficiently. It also offers features like 3D visualization of timestamp-stamped LiDAR return, a spreadsheet inspector to inspect attributes such as azimuth and timestamp, and the capability to display multiple dataframes simultaneously. Users can input data directly from live sensor streams, recorded.pcaps or manage subsets in laser data. LidarView supports a variety of sensors, including models by Velodyne Hesai Robosense Livox and Leishen. It allows for the visualization of live streams as well as replaying recorded data. The platform integrates advanced algorithms to facilitate accurate environmental reconstruction and sensor location. It also incorporates AI capabilities and machine learning for scene classification.

FugroViewer, a powerful and easy-to-use software designed to help users get the most out of their geospatial information. It is designed to work with a variety of raster and vector geospatial data, including photogrammetric, IFSAR, and lidar data. FugroViewer version 3.5 is now available for download. FugroViewer can now read files up to six-times larger. It also has improved graphics handling, which reduces the rendering time and increases efficiency. FugroViewer supports latest open file formats for lidar data delivery and storage. Display elevation and terrain model data in standard ortho, 3D perspective, and cross-section/profile views. If GPS time and RGB values are available, display them. Color TINs based on elevation using earth tones or intensity values. Overlay imagery, vectors and terrain datasets on your 3D elevation datasets. Search for lidar point clouds based on classification, flight line or return number.

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.

Scaniverse allows you to capture, edit, share, and share 3D content right from your smartphone. It creates 3D models using LiDAR with stunning detail and high fidelity. Simply point and scan. Scaniverse will do the rest. Our reconstruction algorithms convert raw LiDAR data to textured 3D models. Our intuitive editing controls will make your models shine. Rotate and crop your scans. It's like editing a photograph. You can adjust exposure, contrast, sharpness, and sharpness. Send scans to family and friends to view in AR, or post to Sketchfab so the whole world can see them. Export to 3D formats like OBJ or FBX to ensure compatibility with 3D modeling software and games engines. AR View lets you bring the world to your home. Scaniverse models can be viewed in their original size or reduced to fit your needs.

Your A.I. can be created using the Edgecase Platform In less than one day, your A.I. team can create 100k labeled photos -Data accuracy is guaranteed to be perfect because it is generated from 3D models and real life blended imagery. Data accuracy is no longer a concern -Each model can be modified, including the camera angle. You can change lighting, textures, camera angles, scene types, and more. All accessible via the cloud - Your A.I. Your existing data can be used to create your own datasets. We also have a large library of 3d hyper-realistic models that you can use to create your own.

NVIDIA DRIVE®, Map is a multi-modal map platform that enables the highest level of autonomy and safety. It combines ground truth mapping accuracy with fleet-sourced AI mapping to provide freshness and scale. Four layers of localization--camera lidar radar, radar, and GPS--DRIVEMap provides the flexibility and redundancy required by the most advanced AI drivers. DRIVE Map is engineered to achieve the highest accuracy. The ground truth map engine creates dynamic DRIVE Maps by using rich sensors such as radars, cameras, lidars and differential GNSS/IMU. It can achieve accuracy of 5 cm in select environments such as highways or urban environments. DRIVE Map is designed to operate in near real-time and provide global scalability. It is based on both fleet-sourced and ground truth data. It represents the collective memory for millions of vehicles.

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

Artificio, an innovative automation tool created by Artificio Products Inc., is designed to revolutionize the data processing process and eliminate manual data input. This cutting-edge tool uses state-of-the art AI and machine learning models for extracting, segregating, validating, and integrating unstructured data from different sources including texts, images, and PDFs. Artificio enables businesses to unlock digital intelligence's full potential by converting unstructured data into structured data.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

Terrasolid develops software to process airborne and mobile LiDAR images and data. Terrasolid's applications are versatile and capable for surveyors and civil engineers, designers and planners. They also provide tools for anyone who needs to process 3D LiDAR images and data. Discover the world's most advanced point cloud processing platform. Interactively visualize, analyze, and extract your data. So long limits! TerraScan can be used to process raw laser points, images and trajectories as well as survey data. TerraStereo allows you to visualize up to 50 billion point at high speed. Terrasolid offers both full and light versions for point clouds that are exclusively used by UAVs. These can be combined into packages that are tailored to your specific workflow needs.

swivl simplifies AI training Data scientists spend about 80% of their time on tasks that are not value-added, such as cleaning, cleaning, and annotation data. Our SaaS platform that doesn't require code allows teams to outsource data annotation tasks to a network of data annotators. This helps close the feedback loop cost-effectively. This includes the training, testing, deployment, and monitoring of machine learning models, with an emphasis on audio and natural language processing.

We offer the highest quality SLA (>95%) even for the most complicated workflows. Our team can assist with everything from the implementation of a solid quality rubric to raising edge case. We are an ethical AI company that has provided economic opportunities to over 52,000 people in underserved and marginalized areas. ML Assisted annotation allowed for efficiency improvements of up to 3-4x per class annotation. We are able to quickly adapt to ramp-ups and focus shifts. Secure work environments are ensured by ISO-certified delivery centers, biometric authentication, 2FA user authentication, and ISO-certified delivery centers. You can quickly re-prioritize tasks, give quality feedback, and monitor production models. All data types are supported. You can do more with less. We combine machine learning with humans to filter data and select images that are relevant to your use cases. Based on your initial guidelines, you will receive sample results. We will work with you to identify and recommend best annotation practices.

GeoHECRAS is a river modeling software used to compute water surface profiles for steady and unsteady flow models, bridge and culvert roadway crossings, FEMA floodplain encroachments, stream restorations, inline reservoir structures, off-channel storage areas, and much more. GeoHECRAS provides an easy-to-use, single graphical platform to rapidly create stunning HEC-RAS models and 3D visualizations from a variety of different data sources like AutoCAD, MicroStation, ArcGIS, Google Maps, Bing Maps, and more.

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.

All large language models require high-quality training data, whether you create the data yourself or use existing models. A human-in the-loop labeling system provides real-time feedback to fine-tune datasets and build the most performant AI models. We offer precise data labeling and faster human input in order to improve the robustness of LLMs to better adapt to enterprise applications. Our labeler management allows for us to segment teams. You only pay for the experience and skill sets required by your data labelling projects. Sapien is able to scale up or down labeling operations for large and small annotation projects. Human intelligence at scale. We can customize our labeling models to meet your specific data formats, data types, and annotation requirements.

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.

ROCK Desktop, developed by ROCK Robotic, is a comprehensive LiDAR software for processing and visualizing data. It allows users to process raw data generated by ROCK LiDAR Systems, and offers enhanced trajectory processing as well as the ability to visualize large datasets in the field or the office. The software lets users compose areas, select view fields and ranges and includes features such as ROCK Ray-Trace Colourization and SLAM/SLAM Alignment. The free version is a point-cloud visualizer that can compress LiDAR files up to ten times. This allows for easier sharing and seamless synchronization between ROCK Cloud projects. Advanced calibration tools give users control over their data. They support both camera and LiDAR calibrating. Integration with ROCK Cloud allows users to access cloud processing power in a single click, increasing upload speed and allowing quick project sharing.

The best data will help you achieve peak model performance. Create and manage training data for any visual modality. Debug models, boost performance and make foundation models yours. Expert review, QA, and QC workflows will help you deliver better datasets to your artificial-intelligence teams, improving model performance. Encord's Python SDK allows you to connect your data and models, and create pipelines that automate the training of ML models. Improve model accuracy by identifying biases and errors in your data, labels, and models.

TopoShare, a geospatial database management platform, was developed by TopoDOT in order to optimize the production of digital twins at minimal cost. It allows for efficient organization, storage and access to large geospatial datasets including point clouds and images, coordinates and metadata. TopoShare, integrated with TopoDOT facilitates the reorganization and management of large-area data point clouds into manageable tiles. This creates a geospatial data warehouse within cloud services such as Amazon S3 or Azure. Users can access project information through an intuitive geospatial interface, downloading desired datasets into TopoDOT to be used for analysis and application. TopoShare Enterprise expands these capabilities to all operations, allowing unlimited interaction with project metadata, digital twins and quality assessments. All while maintaining low interaction cost. This approach supports a production process that is on-demand, delivering topographies, 3D Models, etc., with quality-controlled.