Search results for PreProduct

Redivis is an online data platform designed to streamline the storage, distribution, and analysis of research data. It offers a high-performance, web-based interface that enables researchers to work with diverse datasets, including large-scale and high-risk data, without the need for extensive infrastructure investments. By integrating data hosting with analytical tools, Redivis facilitates collaborative and reproducible research, aligning with FAIR data practices to ensure data is findable, accessible, interoperable, and reusable. Key Features and Functionality: - Dataset Discovery: Researchers can easily discover and preview available datasets, viewing metadata and summary statistics to assess relevance. - Integrated Analysis Tools: The platform supports analyses using SQL, Python, R, Stata, and SAS, alongside a no-code graphical interface, enabling flexible data manipulation and visualization. - Collaboration and Reproducibility: Real-time collaboration features allow researchers to share work seamlessly, with automatic version control ensuring reproducibility and compliance with data sharing requirements. - Secure Data Hosting: Redivis is designed to host high-risk data, utilizing HIPAA and FedRAMP certified Google Cloud infrastructure, and has undergone thorough security audits, including SOC2 Type 2. - Flexible Access Controls: Administrators can configure access systems to distribute restricted datasets through automatic authentications, custom forms, group status, and direct sharing. Primary Value and Problem Solved: Redivis addresses the challenges researchers face in managing and analyzing large and sensitive datasets by providing an integrated platform that combines secure data hosting with powerful analytical tools. It eliminates the need for complex infrastructure setups, reduces the time required for data processing, and enhances collaboration among researchers. By aligning with FAIR data practices, Redivis ensures that data is not only accessible but also reusable, promoting transparency and reproducibility in research. This comprehensive approach empowers researchers to focus on deriving insights from their data, accelerating the pace of scientific discovery.

InstaBizIntel brings analytics, research-grade statistics and business intelligence into a single self-hosted workspace, so teams can go from raw data to a defensible result without moving data to third-party clouds. Its agentic AI analyst, InstaGenie, plans and runs full analyses from a plain-English question — choosing methods, executing them server-side on your data, and explaining the output. Beyond dashboards, InstaBizIntel covers the whole research workflow: 300+ analyses spanning descriptive and inferential statistics, econometrics, machine learning, PLS-SEM (with a reviewer battery and lavaan interoperability), forecasting (Prophet, ensembles, conformal intervals), and qualitative coding (REFI-QDA). Every result is built for rigor and reproducibility: a run ledger, Trust Score and inspector, executable pre-registration, reproducibility bundles, and one-click export to APA write-ups, Word, a clean-room Jupyter notebook, or PDF. Interactive dashboards, Power BI-style data modeling and filters, India/geo maps, data stories, and a Finance Lab round out the platform. A provider-agnostic AI layer (Anthropic, OpenAI-compatible, local Ollama, or InstaRoute auto-routing) keeps you in control of model choice and cost, and an MCP server exposes the platform to ChatGPT/Claude. Deployment is fully self-hosted — your data stays on your infrastructure. Key features: 300+ analyses: statistics, econometrics, ML, PLS-SEM, forecasting, qualitative Interactive dashboards, data stories, geo maps, Power BI-style data modeling & filters Rigor & reproducibility: run ledger, Trust Score, pre-registration, reproducibility bundles One-click export: APA write-up, Word (DOCX), Jupyter notebook, PDF Finance Lab: portfolio/risk analytics, fundamentals & DCF, event studies Provider-agnostic AI (Anthropic / OpenAI-compatible / Ollama / InstaRoute) + MCP server Agentic AI analyst (InstaGenie) — plain-English to full analysis Self-hosted — data never leaves your servers

Better Shipping is a Shopify app developed by Atom Yard that empowers merchants to customize and control their shipping rates and rules, enhancing the checkout experience for customers. Designed specifically for Shopify, Better Shipping offers unlimited flexibility in setting up shipping rates tailored to individual products, variants, and customer locations. Key Features and Functionality: - Per-Product Shipping Rates: Assign specific shipping costs to individual products or variants, allowing for precise control over shipping expenses. - Zip Code Restrictions: Limit shipping availability based on customers' zip or postal codes, ensuring compliance with regional shipping policies. - Unlimited Shipping Rules: Create and manage an extensive array of shipping rules to accommodate various scenarios and requirements. - Scalability: With over 200 million shipping rates served, Better Shipping is built to support businesses of all sizes, from startups to enterprises. Primary Value and Problem Solved: Better Shipping addresses the challenge of inflexible shipping options in Shopify stores by providing merchants with the tools to implement customized shipping strategies. This flexibility leads to improved customer satisfaction, increased conversion rates, and optimized shipping costs, ultimately contributing to the overall profitability and efficiency of the business.

Baldwin Technology Company Inc. is a leading global manufacturer and supplier of innovative process-automation equipment, parts, service, and consumables for industries such as printing, packaging, textile, plastic film extrusion, and corrugated sectors. As a total solutions provider, Baldwin offers a broad range of market-leading technologies focused on improving the economic and environmental efficiency of production processes. With a global footprint of 21 company-owned locations and an extensive network of partners, Baldwin supports customers worldwide through dedicated sales and service teams, fostering long-term relationships. Key Features and Functionality: - Web and Sheetfed Press Enhancements: Advanced solutions to optimize printing press performance. - Spray Dampening Systems: Technologies designed to improve print quality and consistency. - UV and LED Curing Systems: Efficient curing solutions for various printing applications. - IR Drying: Infrared drying systems to enhance production speed and quality. - Blanket, Plate, and Web Cleaning: Automated cleaning systems to maintain equipment and product quality. - Fluid Management: Solutions for precise control and management of fluids in production processes. - Gluing Equipment: Advanced gluing systems for various industrial applications. - Web Press Protection: Technologies to safeguard web presses and ensure operational efficiency. - Textile Finishing: Equipment designed for high-quality textile finishing processes. - LED UV: Energy-efficient LED UV solutions for curing applications. - Web Process Control: Systems to monitor and control web processes for optimal performance. - Color Management: Tools to ensure accurate color reproduction across production runs. - Defect Detection: Technologies to identify and address defects in production lines. - Industrial Filtration: Solutions for maintaining clean and efficient industrial environments. Primary Value and User Solutions: Baldwin Technology Company Inc. delivers comprehensive process-automation solutions that enhance production efficiency, reduce operational costs, and improve product quality across various industries. By integrating advanced technologies such as UV and LED curing systems, IR drying, and automated cleaning systems, Baldwin addresses critical challenges in manufacturing processes, including energy consumption, waste reduction, and equipment maintenance. Their global presence and dedicated support teams ensure that clients receive tailored solutions and services, fostering long-term partnerships and driving continuous improvement in production environments.

SoftGenomics® is a comprehensive software suite developed by SCC Soft Computer, designed to support laboratories specializing in cytogenetic and molecular technologies. By integrating the functionalities of SoftCytogenetics® and SoftMolecular®, SoftGenomics® offers a unified platform that streamlines the entire genetic testing process—from ordering and testing to documentation and reporting. This solution is particularly beneficial for laboratories focusing on reproductive, oncology, and pediatric testing, providing tools to manage complex workflows and data associated with genetic and genomic analyses. Key Features and Functionality: - Variant Identification: Facilitates the identification and interpretation of genetic variants, linking to relevant databases and utilizing a Gene Master Table for single-gene level analysis. - Instrument Integration: Interfaces seamlessly with various instruments and external systems, reducing manual data entry and enhancing accuracy across multiple laboratory sites. - Automated Ordering Process: Employs automatic prompts and wizard functionalities during order placement, minimizing resource requirements and preventing delays caused by incomplete requisitions. - Patient Portal: Provides patients with access to their reports, appointment scheduling, and online sample collection coordination, improving patient engagement and satisfaction. - NGS Reporting: Supports next-generation sequencing reporting by identifying reportable variants and categorizing them based on pathogenicity and clinical relevance, with options for web-based reporting and customizable reporting levels. - Rules-Driven Alerts: Delivers alerts and notifications based on predefined parameters, ensuring timely communication of critical information and reducing reliance on traditional communication methods. - Comprehensive Patient Testing History: Allows access to a patient's complete testing history, facilitating accurate ordering and interpretation through easy review and correlation of historical and concurrent results. Primary Value and Problem Solved: SoftGenomics® addresses the complexities inherent in genetic and genomic testing by automating workflows, integrating data management, and enhancing reporting capabilities. It reduces manual errors, saves time, and cuts costs for cytogenetics laboratories by providing a centralized platform that supports various testing methodologies. The software's ability to interface with instruments and external systems ensures seamless data flow, while its patient portal and automated ordering processes improve both operational efficiency and patient care. By consolidating multiple functionalities into a single application, SoftGenomics® empowers laboratories to manage the increasing volume and complexity of genetic testing with greater accuracy and efficiency.

Paramus is an advanced AI platform designed to integrate seamlessly with tools like Claude, Copilot, and ChatGPT, transforming them into robust chemistry engines. It ensures accurate chemical computations, from reaction kinetics to density functional theory (DFT), eliminating the risk of AI-generated inaccuracies. Key Features and Functionality: - Chemistry Skills: Provides reproducible calculations with rapid response times (~100 ms), ensuring reliable results without AI-induced errors. - Optional Packages: - Polymer Chemistry: AI-driven design and process optimization for polymers. - Medicinal Chemistry: Predicts properties and optimizes reactions to accelerate drug discovery. - Material Science: Facilitates inverse design of new materials using AI and simulation tools. - Products and Marketplaces: - Brain: Hosts AI models and high-performance computational packages, ensuring reproducibility and intellectual property safety. - World: A semantic knowledge layer that provides traceability and contextual understanding of connected information. - AI Agent: Offers intelligent companions to guide workflows and assist in decision-making. Primary Value and User Solutions: Paramus addresses the fragmentation in chemical simulations, AI models, and data landscapes by unifying them into a cohesive ecosystem. It ensures that AI applications in chemistry are accurate, reproducible, and free from hallucinations, thereby enhancing research efficiency and reliability. By integrating validated chemical knowledge and structured ontologies, Paramus provides a trustworthy platform for chemists and researchers to leverage AI in their work.

MantleBio is a comprehensive data engineering platform designed to empower scientists by transforming complex biological data into actionable insights. By integrating data management, analysis, and collaboration tools into a unified cloud-based environment, MantleBio streamlines the research process, enabling rapid and reproducible discoveries without the need for extensive setup. Key Features and Functionality: - Python Notebooks Designed for Science: Combines the capabilities of electronic lab notebooks with Jupyter Notebooks, offering shareable, reproducible, and centralized environments for scientific analysis. - Integrated Data and Metadata Storage: Organizes all data and associated metadata within the Mantle Database, ensuring easy collaboration and accessibility. - Ready-to-Run Pipelines: Provides scalable, no-code Mantle Pipelines accessible via browser or Python SDK, facilitating efficient data analysis from small-scale experiments to large datasets. - Seamless Integrations: Offers integrations with tools like Benchling and AWS, eliminating the need for manual data transfers and enhancing workflow efficiency. Primary Value and User Solutions: MantleBio addresses the challenges of managing and analyzing vast amounts of complex biological data by offering a centralized platform that simplifies data organization, enhances reproducibility, and accelerates the research cycle. By bridging the gap between data collection and discovery, MantleBio enables scientists to focus on innovation and breakthroughs, reducing time spent on data management and analysis logistics.

NITRC-CE Lite is a virtual computing platform tailored for neuroimaging data analysis, pre-configured to run pipelines using container technologies such as Docker and Singularity. It also integrates tools like Datalad, NeuroDocker, and NIPY, facilitating efficient and reproducible research workflows. Designed as a streamlined alternative to NITRC-CE Classic, NITRC-CE Lite is optimized for processing images using container-based computational paradigms, including BIDS Apps. Key Features and Functionality: - Pre-Configured Environment: Comes with essential neuroimaging tools and container technologies pre-installed, reducing setup time. - Container Support: Supports Docker and Singularity, enabling flexible and reproducible analysis pipelines. - Integration with Data Management Tools: Includes Datalad and NeuroDocker for efficient data handling and environment management. - User-Friendly Interface: Provides a web-based admin interface for easy configuration and management. - Scalable Computing Resources: Leverages cloud infrastructure to scale computational resources according to research needs. Primary Value and Problem Solved: NITRC-CE Lite addresses the challenges faced by researchers in setting up and managing complex neuroimaging analysis environments. By offering a pre-configured, containerized platform, it eliminates the need for extensive software installation and configuration, allowing researchers to focus on their analyses. Its integration with popular container technologies ensures reproducibility and flexibility in research workflows. Additionally, by utilizing cloud-based resources, NITRC-CE Lite provides on-demand computational power, overcoming limitations of local infrastructure and facilitating collaboration across institutions.

PosturoGest PRO réunit agenda, dossiers patients, bilans posturaux, orthèses, comptes-rendus et facturation dans un seul logiciel, sur Windows et Mac. PosturoGest PRO est le logiciel de gestion de cabinet pensé pour la posturologie : examen postural structuré, bilans comparables dans le temps (même sur tablette, hors connexion), orthèses intégrées au dossier, agenda multi-praticien synchronisé à Google Calendar, comptes-rendus, facturation et statistiques. Vos données restent chiffrées, sur votre propre cloud. PosturoGest PRO est un logiciel de gestion de cabinet complet, spécialement conçu pour les **posturologues** et les praticiens libéraux du système postural (podologues, kinésithérapeutes, ostéopathes). Là où les logiciels généralistes s'arrêtent à l'agenda et à la facturation, PosturoGest PRO descend au cœur du métier : un **examen postural structuré et reproductible** — 3 directions (sagittal, frontal, horizontal), capteurs pied et œil, jambe courte, occlusion dentaire, blocages, réflexes archaïques, tests de Romberg et de piétinement. Vous **comparez deux bilans côte à côte** pour objectiver la progression du patient, et vous pouvez réaliser le bilan **directement sur tablette, même sans connexion**. Les **orthèses et semelles posturales** sont intégrées au dossier patient (éléments, épaisseurs, matières, aperçu, historique) — plus besoin d'un second outil. Tout le reste de la gestion est couvert : **agenda multi-praticien** avec synchronisation **Google Calendar**, salle d'attente et confirmation par SMS, **dossiers patients** complets, **comptes-rendus** générés depuis le bilan, **facturation** et **statistiques** multidimensionnelles avec cartographie de la patientèle. Point fort différenciant : **vos données restent les vôtres**. Les informations identifiantes sont chiffrées, les sauvegardes partent vers **votre** cloud (Google Drive, Dropbox, OneDrive), sans revente ni dépendance. L'application fonctionne sur **Windows et macOS**, en poste seul ou en **multiposte** (client/serveur) pour les cabinets de groupe, avec gestion des rôles, politique de mots de passe et échange de dossier chiffré entre confrères.

Relling Systems is a pioneering company dedicated to transforming hardware testing and validation processes to accelerate innovation. Recognizing that traditional hardware testing methodologies are often outdated and inefficient, Relling Systems aims to modernize these processes by integrating continuous testing frameworks that align with contemporary software development practices. This approach not only streamlines validation but also enhances the overall efficiency and reliability of hardware development. Key Features and Functionality: - Standardized Testing Infrastructure: Relling Systems advocates for modular and interoperable test setups, reducing setup times and allowing engineers to focus on innovation rather than troubleshooting test configurations. - Automated and Reproducible Testing: By adopting principles from modern software development, Relling Systems ensures that test configurations are code-based, making them reproducible, shareable, and less prone to human error. - Continuous Field Testing: Their solutions enable hardware to self-evaluate performance throughout its lifecycle, transforming testing from a discrete phase into an ongoing process that extends into deployment. Primary Value and User Solutions: Relling Systems addresses the critical bottleneck in hardware innovation caused by outdated testing infrastructures. By providing modern, automated, and continuous testing solutions, they help engineers and companies: - Accelerate design cycles by reducing the time spent on manual testing and validation. - Enhance product reliability through consistent and reproducible testing methodologies. - Focus on core engineering tasks by minimizing the complexities associated with traditional test setups. In essence, Relling Systems empowers hardware developers to innovate more rapidly and efficiently by revolutionizing the testing and validation landscape.

DataJoint is a comprehensive platform designed to streamline scientific research by integrating instruments, code, data, and computation into automated workflows. This integration ensures that research processes are transparent, reproducible, and prepared for AI applications. By automating data structuring, processing, and analysis, DataJoint addresses critical challenges in data management, enabling researchers to focus more on scientific discovery and less on data handling. Key Features and Functionality: - Computational Database: At the core of DataJoint is a computational database that unifies data structure, code, and processing steps, ensuring referential integrity and reproducibility. - Automated Workflows: The platform automates repetitive tasks from data acquisition to analysis, significantly reducing manual effort and the potential for errors. - Interactive Science Environment: DataJoint offers tools like the Pipeline Explorer and custom dashboards, providing researchers with intuitive interfaces to visualize and manage their data pipelines. - Collaboration and Publishing: The system supports multi-user collaboration with robust security options and facilitates data sharing and publication, enhancing transparency and reproducibility. Primary Value and Solutions Provided: DataJoint empowers research teams to deliver results faster and undertake more complex experiments by automating and structuring their workflows. It cuts 80-90% of the time spent on data cleaning and processing, accelerates time to publication by months or years, and ensures process integrity by recording every data transformation. By replacing ad hoc processes with standardized workflows, DataJoint helps labs maintain continuity as teams and projects evolve, making better use of time and talent. Additionally, it structures data for long-term reuse and AI interpretation, ensuring compliance with data management policies and readiness for advanced analyses.

SnapML is a unified AI engineering platform developed by DeepQuantica, designed to streamline the entire lifecycle of machine learning (ML) and large language model (LLM) development. It enables teams to build, train, fine-tune, and deploy production-grade AI systems with full control, reproducibility, and infrastructure independence. By consolidating various ML operations into a single platform, SnapML addresses common challenges such as fragmented toolchains, complex infrastructure management, and reproducibility issues. Key Features and Functionality: - Unified Workflow: SnapML integrates dataset management, experiment tracking, model playgrounds, deployments, API key management, and real-time monitoring into a cohesive workflow, eliminating the need for multiple disparate tools. - Dataset Management: Users can upload, version, and manage training data seamlessly, ensuring data consistency and accessibility throughout the ML pipeline. - Experiment Tracking: The platform offers automatic logging and comparison of ML experiments, facilitating efficient tracking of model performance and iterative improvements. - Model Playground: An interactive environment allows for testing and fine-tuning models, enabling rapid prototyping and validation of AI solutions. - One-Click Deployment: SnapML simplifies the transition from development to production with one-click deployment capabilities, including monitoring and API key management for deployed models. - Real-Time Monitoring: The platform provides real-time tracking of model performance, latency, and usage in production, ensuring optimal operation and quick identification of issues. Primary Value and Problem Solved: SnapML addresses the complexities and inefficiencies associated with traditional ML development by offering a unified, intuitive platform that reduces setup time, simplifies tool integration, and enhances reproducibility. It eliminates the need for multiple fragmented tools and extensive manual configurations, allowing teams to focus on developing and deploying high-quality AI models efficiently. By providing a comprehensive solution for dataset management, experiment tracking, model fine-tuning, deployment, and monitoring, SnapML empowers organizations to accelerate their AI initiatives and achieve scalable, production-ready AI systems.

An enterprise-grade platform for agile, reproducible, and scalable machine learning.

Apeer, now rebranded as ZEISS arivis Cloud, is a cloud-based image analysis platform designed to accelerate biotech research by providing automated, AI-driven solutions for complex image processing tasks. It enables researchers to create and customize workflows without the need for coding, facilitating the analysis of large datasets with reproducible results. Key Features and Functionality: - Deep Learning Segmentation: Utilizes advanced AI algorithms to automate the segmentation of intricate features in scientific images, making deep learning accessible through an intuitive interface. - Custom Workflows: Allows users to design and implement tailored image analysis workflows, enhancing throughput and ensuring reproducibility in research processes. - Cloud-Based Infrastructure: Offers a secure and flexible cloud environment, reducing costs associated with hardware and software while providing scalability for handling extensive data. Primary Value and User Solutions: ZEISS arivis Cloud addresses the challenges of manual and time-consuming image analysis in biotech research by automating repetitive tasks and enabling efficient processing of large datasets. Its AI-powered tools and customizable workflows empower researchers to focus on their core competencies, leading to faster product commercialization and scientific discoveries.

omicX CASA is a software that can generate reproducible and quantitative measurements for fish sperm.

NovaFlow is an AI-powered bioinformatics analysis platform designed to automate data processing for life science researchers. By transforming raw experimental data into actionable results within minutes, NovaFlow enables scientists to focus more on discovery and less on manual data handling. Key Features and Functionality: - Natural Language Interface: Initiate complex bioinformatics analyses using simple, conversational prompts, eliminating the need for graphical user interfaces, configuration files, or coding expertise. - Automated Pipeline Execution: Automatically selects and executes the appropriate workflow, such as RNA-seq or ATAC-seq, utilizing reproducible, peer-reviewed methods to ensure accuracy and reliability. - Data Visualization: Generate high-quality, exportable charts and figures—including volcano plots and UMAPs—by merely describing the desired visualization, facilitating clearer data interpretation. Primary Value and Problem Solved: NovaFlow addresses the time-consuming and complex nature of bioinformatics data analysis by automating the entire process. This automation leads to faster, reproducible results, allowing researchers to obtain publication-ready analyses in minutes rather than weeks. By reducing reliance on manual workflows and external bioinformatics support, NovaFlow not only accelerates research timelines but also significantly cuts costs, potentially saving laboratories tens of thousands of dollars annually. Ultimately, NovaFlow empowers scientists to dedicate more time to experimental work and scientific discovery, enhancing overall research productivity.

MLRun is an open-source MLOps orchestration framework designed to streamline the development, deployment, and management of machine learning models. It provides a unified platform that integrates with various tools and frameworks, enabling data scientists and engineers to build, train, and deploy models efficiently. MLRun simplifies the complexities of the machine learning lifecycle by offering a cohesive environment for collaboration and automation. Key features and functionality of MLRun include: - Automated Pipeline Orchestration: Facilitates the creation and management of end-to-end machine learning pipelines, automating tasks from data ingestion to model deployment. - Scalability: Supports scalable execution of workloads, allowing users to handle large datasets and complex computations seamlessly. - Version Control: Provides robust versioning for code, data, and models, ensuring reproducibility and traceability throughout the development process. - Integration with Popular Tools: Seamlessly integrates with widely-used machine learning frameworks and tools, enhancing flexibility and compatibility. - Real-time Monitoring and Logging: Offers comprehensive monitoring and logging capabilities, enabling users to track performance metrics and debug issues effectively. The primary value of MLRun lies in its ability to accelerate the machine learning development cycle by automating routine tasks and providing a collaborative environment. It addresses common challenges such as managing dependencies, ensuring reproducibility, and scaling operations, thereby allowing teams to focus on innovation and delivering high-quality models to production efficiently.

Forecast demand, get reorder quantities with the arithmetic shown, and send purchase orders. For Shopify stores that buy from suppliers. Product description: Restocked is a Shopify app for reorder planning and purchase orders. Forecasts are stockout-adjusted: velocity is units sold divided by the days an item was actually in stock, blended across 30/60/90-day windows (weighted 50/30/20), so a sold-out week never suppresses your reorder. Every reorder quantity shows its math: velocity, safety stock and lead time. Open purchase orders count toward stock position, so you never double-order. Create a purchase order in two clicks and download it as a PDF or email it to the supplier (Pro). Receive against the PO, including partial receiving, and the units land in Shopify inventory automatically. An overstock flag shows the capital tied up in excess stock. Pro adds MOQ and case-pack rounding, per-product lead-time overrides and Stocky CSV import, which is useful now that Shopify retired Stocky. Scale adds trend detection (rising, falling, flat) and full PO lifecycle tracking. Categories: Primary: Inventory Management. Secondary: Purchasing (or Procurement), Demand Planning. Features (add as feature bullets if the form has them): - Stockout-adjusted demand forecasts (blended 30/60/90-day windows) - Reorder quantities with the math shown: velocity, safety stock, lead time - Open purchase orders count toward stock position - Purchase orders in two clicks: PDF download, or email to supplier (Pro) - Receiving and partial receiving; units land in Shopify inventory - MOQ, case-pack rounding, per-product lead-time overrides (Pro) - Stocky CSV import (Pro) - Overstock flag showing capital tied up in excess stock - Trend detection and full PO lifecycle tracking (Scale) Pricing editions (USD, billed through Shopify): - Free — $0: 50 tracked variants, 2 suppliers, reorder recommendations, PO PDF download. - Pro — $59/month or $599/year: 1,000 variants, unlimited suppliers, receiving & shortages, MOQ, case packs, lead-time overrides, Stocky CSV import, email POs. 14-day free trial. - Scale — $129/month or $1,299/year: 10,000 variants, priority support, full PO lifecycle, trend detection. 14-day free trial.

digiTICKET is an electronic ticketing solution that allows you to create and submit tickets electronically and reproduce ticket formats including municipal ordinances, state statutes, and more.

WooCommerce Wholesale Pro is a WordPress plugin that adds a complete wholesale ordering system to WooCommerce stores. It provides multiple wholesale user roles with role-based pricing (global or per-product percentage discounts and fixed prices), a private wholesale area hidden from retail customers, a wholesale registration form with optional account approval, and a fast one-page wholesale order form. Stores use it to sell to both retail and trade customers from a single WooCommerce site, with control over which products, prices and payment methods each wholesale role can access. Developed by Barn2 Plugins.