Best AWS Marketplace Software - Page 66

Cysurance Ransomware Protect

RansomProtect is our simplest, most affordable product. It introduces customers to the ease of our platform and provides protections from one of the most common cyber threats, ransomware. Designed to complement your existing ransomware protections products, the product is available to companies of any revenue, in any industry and the subscription fee is based on the number of endpoints to be protected. (AWS pricing applicable up to 1000 endpoints. For higher volumes, please contact Cysurance directly.) Every subscription includes entitlement(s) to our software Sensor(s), that are installed to monitor your network for ransomware activity. Once purchase is completed on the marketplace, you will be able to create an account on the Cysurance portal and will then be given access to the appropriate sensor downloads.

Daizika Edgar API

The Daizika Edgar API is a comprehensive tool designed to facilitate seamless access to the U.S. Securities and Exchange Commission's (SEC EDGAR database. It enables users to efficiently retrieve, search, and analyze a vast array of financial filings and disclosures submitted by public companies, mutual funds, and other entities. By providing structured and standardized data, the API empowers developers, financial analysts, and researchers to integrate critical financial information into their applications and workflows, enhancing decision-making processes and financial analyses. Key Features and Functionality: - Comprehensive Data Retrieval: Access a wide range of SEC filings, including 10-K, 10-Q, 8-K, and more, ensuring users have the necessary information for thorough financial analysis. - Advanced Search Capabilities: Utilize robust search functionalities to filter filings by various parameters such as company name, ticker symbol, Central Index Key (CIK, form type, and filing date, facilitating precise and efficient data retrieval. - Real-Time Data Streaming: Receive live updates on newly published filings, enabling timely access to the latest financial disclosures and market-moving information. - XBRL Data Parsing: Extract and standardize financial statements and metadata from XBRL-formatted filings, converting complex data into a user-friendly JSON format for easy integration and analysis. - Insider Trading and Ownership Data: Access detailed information on insider trading activities and institutional ownership, providing insights into market dynamics and investor behavior. Primary Value and User Solutions: The Daizika Edgar API addresses the challenges associated with accessing and analyzing SEC filings by offering a streamlined, programmatic solution. It eliminates the need for manual data extraction, reducing errors and saving valuable time. By delivering structured and standardized financial data, the API enhances the accuracy and efficiency of financial analyses, supports compliance and regulatory reporting, and empowers users to make informed investment decisions. Its real-time data streaming capability ensures that users stay updated with the latest financial disclosures, providing a competitive edge in the fast-paced financial industry.

Damaged Shipment Prediction

Damaged Shipment Prediction analyzes images of shipment packages and predicts with whether they are damaged or not.

DarcyIQ

DarcyIQ is an AI-powered consulting platform designed to streamline the sales process for professional services firms. By automating tasks such as lead generation, proposal creation, and data analysis, DarcyIQ enables teams to close deals up to 70% faster without the need to expand their technical staff. The platform integrates seamlessly with existing tools like Salesforce and Atlassian JIRA, enhancing productivity and ensuring consistency across client engagements. Key Features and Functionality: - AI-Powered Prospecting: Identifies and enriches high-quality leads at scale, optimizing the sales pipeline. - Meeting Assistant: Provides real-time insights during client meetings, capturing key information and generating actionable summaries. - Chat Assistant: Offers dynamic, context-aware interactions with saved chat history and enhanced capabilities, facilitating efficient communication. - AI Workflows: Automates complex business processes into repeatable sequences, improving productivity and consistency. - Projects and Dashboards: Enables collaboration through shared projects and dashboards, keeping teams aligned and informed. - Integrations: Seamlessly connects with tools like Salesforce and Atlassian JIRA, allowing for natural language actions such as creating and updating tickets directly through chat. Primary Value and Solutions Provided: DarcyIQ addresses common challenges in the consulting industry, such as lengthy sales cycles and resource constraints. By automating critical aspects of the sales and proposal process, it allows firms to handle more opportunities with existing teams, thereby increasing revenue without additional overhead. The platform's AI capabilities ensure high-quality, consistent deliverables, enhancing client satisfaction and competitive advantage. Additionally, DarcyIQ's integrations with existing tools reduce context switching, further boosting efficiency and collaboration.

DataBuck

DataBuck is an enterprise data quality platform that leverages context-aware AI to discover data quality rules and detect hard-to-find data errors. Designed for large-volume, cross-platform environments, DataBuck supports reconciliation, data quality validation, and observability at scale, delivering up to 70% productivity savings, 9x faster timelines, and 90% data risk reduction.

Average Rating: 4.5/5.0

Total Reviews: 9

Data Deduplication & Record Linkage

This solution identifies data belonging to the same entity/duplicate records across two data sources and creates a linked master dataset.

Data Dip - Data Pipeline Validation

DataDip is a data pipeline validation framework which attempts to solve challenges associated with data pipeline validations. Its distributed in form of deployable code framework which seamlessly integrates with existing AWS data ecosystems.

Data Drift Detector for Time Series

The Data Drift Detector for Time Series is a specialized tool designed to monitor and identify deviations in time series data, ensuring the reliability and accuracy of machine learning models over time. By continuously analyzing incoming data streams, it detects unexpected changes in data patterns, known as data drift, which can adversely affect model performance. Key Features and Functionality: - Continuous Monitoring: Regularly observes time series data to detect shifts in data distribution. - Automated Alerts: Generates notifications when significant data drift is identified, enabling prompt intervention. - Integration with AWS Services: Seamlessly integrates with Amazon SageMaker Model Monitor, allowing for comprehensive model performance tracking. - Customizable Detection Parameters: Allows users to set specific thresholds and parameters tailored to their unique data and model requirements. Primary Value and Problem Solved: In dynamic environments, time series data can undergo unforeseen changes due to various factors, leading to data drift. Such drift can degrade the accuracy of machine learning models, resulting in unreliable predictions. The Data Drift Detector for Time Series addresses this challenge by providing real-time detection and alerting mechanisms, enabling data scientists and engineers to maintain model integrity and make informed decisions based on consistent and accurate data.

DataEz

Modular, Scalable, Secure and Compliant Data & Data Analytics Platforms for Healthcare & Life-Sciences. Modular Data Services Automatically deploy core infrastructure and configure managed data services Chain Multiple Data Services to create custom data pipelines Multiple layers of Security across Storage, Metadata and Compute Compliant and Future Proof Technical and Monitoring controls to meet most compliance requirements Relies more on managed services so you focus more on use cases and applications

Datagaps BI Validator

The most comprehensive BI Validation Tool for Tableau, Oracle Analytics and Microsoft Power BI is explicitly designed for BI Testers and Analysts. BI Validator is a no-code BI Testing Tool to automate the Regression, Stress, Performance and Functional testing of BI Reports and Dashboards.

Datagaps DataOps Suite

Founded in 2010, Datagaps is a US-based enterprise software company headquartered in Herndon,VA. Datagaps is the only vendor recognized by Gartner in BOTH the DataOps Tools market guide AND the Data Observability market guide — a distinction no other data testing platform holds. WHAT WE DO Datagaps makes data trustworthy across the entire pipeline — from data ingestion and ETL/ELT transformations, through data quality monitoring, to BI dashboard validation and AI model input testing — on a single, unified DataOps Suite platform. THE PROBLEM WE SOLVE Enterprise data teams lose an average of $15M annually to poor data quality (Source: Gartner). 70% of data migration failures surface post go-live. 59% of organizations cannot quantify their own BI consistency gap. Datagaps eliminates these risks with automated, end-to-end validation that detects issues before they reach production. HOW WE'RE DIFFERENT Unlike point tools that test one stage, Datagaps covers every layer — ETL pipelines, data quality and consistency, semantic validation, BI dashboards, and AI/ML inputs — from a single platform with shared rules, one audit trail, and one vendor. Agentic AI auto-generates tests, self-heals schema drift, summarizes report differences, and recommends smart quality rules. OUTCOMES DELIVERED 500B+ Records validated across ETL & cloud pipelines 10M+ Automated test cases run with zero manual scripting 80% Faster test cycles vs. manual testing approach 60% Reduction in data errors detected before production 70% Reduction in ETL validation spend 200+ Native data source connectors Trusted by 100+ enterprise customers across Financial Services, Healthcare, Life Sciences, FMCG, Retail, Higher Education PRODUCTS AND PLATFORM • DataOps Suite — Unified platform for end to end data validation and analytics testing powered by Agentic AI • ETL Validator — Automated ETL/ELT testing with Agentic AI; 200+ native connectors • BI Validator — Automated BI report validation for Power BI, Tableau, Oracle Analytics • Data Quality Monitor — Proactive data quality with Agentic AI: Predict, Prevent, Govern • Test Data Manager — Compliant and realistic test data generation with Agentic AI TECHNICAL CREDENTIALS SOC 2 Type II | US Patent (ELV architecture) | Informatica Certified | Embedded LLM (data stays in your environment) | Gartner DataOps Tools Guide | Gartner Data Observability Guide INTEGRATIONS 200+ Snowflake, Databricks, Azure Synapse, Amazon Redshift, Google BigQuery, Salesforce, Microsoft Power BI, Tableau, Oracle Analytics, Informatica, Talend, SSIS, dbt

Average Rating: 4.5/5.0

Total Reviews: 10

Data Labeling Services by CapeStart

Data Labeling Services is a data preparation and annotation service that helps organizations create structured datasets for artificial intelligence and machine learning workflows. CapeStart supports the collection, organization, annotation, classification, and labeling of data across text, images, audio, video, and other data formats. The service supports task-specific workflows such as image annotation, text classification, entity labeling, transcription, content categorization, video annotation, and audio labeling. Annotation processes can be configured according to project requirements, labeling guidelines, data schemas, and quality standards. Data labeling can support machine learning model development, computer vision, natural language processing, speech applications, generative AI, and other AI workflows that require structured and validated datasets. Quality-control processes can be incorporated to review labeled data and identify inconsistencies before datasets are used for downstream model development or evaluation. CapeStart can support both defined annotation workflows and larger data preparation programs, with processes structured around client requirements, data types, annotation specifications, and quality criteria.

Data Labeling Services by Objectways

Our core data labeling capabilities include: 3D Point Cloud: Object Detection, Object Tracking, Semantic Segmentation Video: Object Detection, Object Tracking, Clip Classification Images: Image Classification, Object Detection, Semantic Segmentation Text: Text Classification, Named Entity Recognition Audio: Transcription, Translation

Data Labeling Services by SmartOne

SmartOne.ai offers comprehensive data labeling and annotation services designed to enhance the accuracy and efficiency of AI and machine learning models across various industries. With a team of over 1,200 skilled annotators operating from secure facilities in Madagascar and Kenya, SmartOne.ai has processed over a billion data points since its inception in 2016. Their services encompass a wide range of data types, including images, video, text, and audio, ensuring tailored solutions for each client's unique requirements. Key Features and Functionality: - Multilingual Support: Expertise in multiple languages, including Italian, French, Mandarin, Korean, and Japanese, facilitating culturally nuanced data labeling and transcription services. - Diverse Data Annotation: Proficiency in annotating various data types such as images, videos, text, and audio, catering to industries like e-commerce, retail, autonomous vehicles, and geospatial intelligence. - Integration with AWS Technologies: Seamless integration with Amazon SageMaker Ground Truth, enabling efficient and scalable data labeling workflows. - Security and Compliance: Adherence to SOC2 Type 1 compliance and AWS-prescribed security controls, ensuring data confidentiality and integrity. - Scalability and Flexibility: Ability to scale operations to meet project demands without compromising quality, accommodating both small startups and large enterprises. Primary Value and Solutions Provided: SmartOne.ai addresses the critical need for high-quality, accurately labeled datasets essential for training effective AI and machine learning models. By offering precise and culturally sensitive annotations across various data types and languages, SmartOne.ai empowers organizations to develop AI solutions that resonate with diverse target audiences. Their commitment to security, scalability, and integration with advanced technologies like Amazon SageMaker ensures that clients receive reliable and efficient data labeling services, ultimately enhancing the performance and reliability of their AI applications.

Data Labeling Services by SmartOne, Inc. - French Language

SmartOne, Inc. offers specialized French language data labeling services, providing high-quality, culturally nuanced datasets tailored for AI and machine learning projects. With a team of native French speakers, SmartOne ensures linguistic accuracy and cultural sensitivity across various industries, including e-commerce, retail, and autonomous vehicles. Operating 24/7 from secure facilities, the company adheres to stringent security protocols, including SOC2 compliance, to maintain data confidentiality. SmartOne's services are designed to enhance AI model performance by delivering precise annotations, enabling effective communication and functionality in French-speaking markets. Key Features and Functionality: - Expertise in French Language Annotation: Native French-speaking annotators provide accurate and culturally relevant data labeling. - Comprehensive Data Annotation Services: Handling a wide range of tasks, including transcription, natural language processing, and natural language understanding. - 24/7 Operational Excellence: Round-the-clock services from secure facilities ensure timely delivery and adaptability to project scales. - Strict Security Measures: Adherence to SOC2 compliance and AWS-prescribed security controls to maintain data confidentiality. - Customized Solutions: Tailored annotation guidelines and workflows, particularly with Amazon SageMaker Ground Truth, to optimize project success. Primary Value and Problem Solved: SmartOne's French language data labeling services address the critical need for accurate and culturally sensitive datasets in AI and machine learning projects targeting French-speaking audiences. By providing precise annotations, SmartOne enhances the performance and reliability of AI models, ensuring they resonate effectively with the target market. The company's commitment to security, quality, and operational excellence offers clients a trusted partner in developing AI solutions that truly understand and engage French-speaking users.