Heartex vs. Nomic Atlas Comparison Chart

The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

Adzooma’s an award-winning digital marketing platform that helps businesses of any size grow by making online marketing easy. Our all-in-one platform helps you set up, manage, and optimize your Google, Facebook, and Microsoft advertising campaigns all in one place. By leveraging innovative machine learning and data science, our platform pinpoints what drives online business success to make sure you get the most out of your advertising campaigns. Track PPC performance and highlight over/under spend to improve your quality score, conversions, and ROI. Packed with all the tools you need to grow your business, Adzooma gives you a crystal clear view of where your online marketing is right now, then provides personalized checklists to help you drive business growth. Join thousands of business owners like you and see how we make growing your business online simple.

aqua is an AI-powered advanced Test Management System designed to make the QA process painless. It is ideal for enterprises and SMBs across various sectors, although aqua was initially designed specifically for regulated industries like Fintech, MedTech and GovTech. aqua cloud helps to: - Organize custom testing processes and workflows, - Run testing scenarios of any complexity and scale, - Create extended sets of test data, - Ensure thorough insights with rich reporting capabilities and - Go from manual to automated testing smoothly. Additionally, it includes a unique feature called “Capture," which transforms the process of documenting and reproducing bugs into a 1-click action. aqua integrates with all the most popular issue trackers and automation tools like JIRA, Selenium, Jenkins and others. REST API is also available. aqua's streamlines testing and saves your QA team up to 70% of time, enabling you to deliver high-quality software and releases x2 faster!

Transform your content into engaging eLearning experiences with Coursebox, the #1 AI-powered eLearning authoring tool. Our platform automates the course creation process, allowing you to design a structured course in seconds. Simply make edits, add any missing elements, and your course is ready to go. Whether you want to publish privately, share publicly, sell your course, or export it to your LMS, Coursebox has you covered. With a focus on mobile-first learning, Coursebox ensures your learners are more engaged and motivated through interactive and visual content, including videos, quizzes, and more. Take advantage of our branded learning management system with native mobile apps, offering you the flexibility to use custom hosting and a custom domain. Coursebox is the ultimate solution for organizations and individuals looking to rapidly scale their training and assessment programs.

Fraud.com's aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud & improve customer trust. The detection layer analyses your transactional data in real-time to deliver unmatched risk-scoring accuracy. The multi-layer defence identifies suspicious transactions using our adaptive machine learning algorithms, adaptive rules & next-generational behavioural engine to create hyper granular profiles for every individual to identify abnormal behaviour. aiReflex's Response layer manages fraud centrally via an omnichannel case manager, automating tasks & decision-making to reduce fraud, friction & fraud team inefficiencies. Investigators become superheroes with a 360-degree view of the customer and explainable AI to manage a case with great accuracy & speed, with intelligent search, reporting, queue management & link analysis. Contact us at fraud.com to learn how we can improve your fraud defences.

Product recommendations tailored to your customers' preferences in a fully-managed service. BytePlus Recommend draws from our expertise in machine learning to offer dynamic and targeted recommendations. Our industry-leading team has a track record of delivering recommendations for some of the world’s most popular platforms. You can learn from the data of your users to engage them better, and provide personalized suggestions based on granular customer behavior. BytePlus Recommend is easy to use — leveraging your existing infrastructure as well as automating the machine learning workflow. BytePlus Recommend leverages our research in machine learning to deliver personalized recommendations tailored to your audience’s preferences. Our experienced and talented algorithm team provides customized strategies that adapt to evolving business needs and goals. Our pricing is based on results from A/B testing. Optimization goals are determined based on business demands.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)