Search results for Codebook

LabReach is an electronic remote order comms for test requesters that are outside of traditional healthcare networks. Hospitals and GPs have long benefited from electronic order communication to deliver safe and efficient test requesting and results. But many healthcare organisations outside of mainstream networks still rely on paper workflows. For various reasons, occupational and sexual health services, prisons, and others still operate using paper-based tests. This leads to delays in results being returned to patients and — ultimately — a deterioration of patient care. LabReach allows these requesters to send digital test requests straight to labs' LIMS, reducing workload and ensuring safe, accurate submission, tracking, and delivery of test results. With LabReach: - Any health organisation can send and receive tests electronically - Requesters can order tests of multiple specimens from different laboratories - Remote ordering can be performed from any mobile device (coming soon)

DBCode is a comprehensive database management extension for Visual Studio Code, designed to streamline database operations directly within the editor. It supports over 20 databases, including SQL and NoSQL systems, enabling developers to manage, query, and visualize data without leaving their coding environment. Trusted by professionals at leading organizations, DBCode enhances productivity by integrating advanced features such as AI-powered queries, visual data editing, and interactive schema visualization. Key Features and Functionality: - Visual Data Editing: Safely modify data with built-in validation, undo/redo support, and real-time feedback, ensuring confident changes with the ability to revert if needed. - AI-Powered Queries: Leverage GitHub Copilot integration to generate SQL queries from natural language prompts, execute them, and view results instantly, all within VS Code. - Interactive Schema Visualization: Automatically generate and interact with Entity-Relationship Diagrams (ERDs) to understand and navigate database structures effectively. - Relationship Browsing: Navigate through database relationships effortlessly by clicking through related records via foreign keys, eliminating the need for manual queries. - SQL Notebooks: Combine SQL queries, markdown documentation, and results in interactive documents, facilitating exploratory analysis and collaboration. - Data Visualization: Transform query results into meaningful charts, including column, bar, line, pie, and scatter plots, with extensive customization options. - Secure Sharing: Share data securely with encrypted, passphrase-protected links, setting expiration and storage regions to meet compliance requirements. - History Sync & Backup: Sync query history across devices with end-to-end encryption and automatic cloud backup, ensuring data is accessible and secure. Primary Value and User Solutions: DBCode addresses the common challenges developers face when managing databases by integrating powerful tools directly into Visual Studio Code. This integration eliminates the need for context switching between different applications, thereby enhancing workflow efficiency. By providing features like AI-assisted query generation, visual data editing, and interactive schema visualization, DBCode simplifies complex database tasks, reduces the learning curve for database management, and accelerates development cycles. Its support for a wide range of databases and secure data handling capabilities make it a versatile and reliable solution for developers, data analysts, and database administrators seeking to optimize their database workflows.

Altair® FlowTracer™ is an advanced platform designed for developing, visualizing, and executing complex design workflows. It enables users to create, manage, and optimize design flows across various applications, including semiconductor design, algorithm evaluation, software development, and artificial intelligence and machine learning workflows. By analyzing and identifying inherent parallelism within these workflows, FlowTracer optimizes the utilization of compute resources both on-premises and in the cloud. Its unique tracing technique manages dependencies between files and tools by interacting with them during execution, ensuring accurate and efficient flow management. Key Features and Functionality: - Flow Visualization and Analysis: Provides comprehensive visualization of complex workflows, allowing users to identify and analyze dependencies and parallelism within their design flows. - Real-Time Reporting: Features a powerful Grid View report that displays the results of millions of running jobs, highlighting failing jobs for quick identification, debugging, and resolution. - Dependency Management: Utilizes a unique tracing technique to manage dependencies between files and tools by interacting with them during execution, ensuring accurate and efficient flow management. - Parallel Execution: Identifies inherent parallelism within workflows to optimize compute resource utilization, enabling faster execution and improved scalability. - AI and Machine Learning Integration: Supports AI and machine learning workflows using popular development languages, including Python, Julia, and Jupyter Notebook, facilitating seamless integration into existing workflows. - REST-Based Access and JSON-Based Flow Description: Offers a full REST API for defining and controlling flows in preferred languages, and utilizes JSON-based Flow Definition Notation for efficient transfer of workflow definitions. - Cross-Platform Compatibility: Operates across various platforms, including Windows and Linux x86/ARM, and supports multiple operating modes such as interactive, supervised, and batch modes. Primary Value and User Solutions: FlowTracer addresses the challenges of managing complex design workflows by providing tools for visualization, dependency management, and parallel execution. For designers, it enhances productivity through improved flow control and faster turnaround times. Infrastructure teams benefit from better resource utilization and scalability due to its small memory footprint and built-in scheduler. Management gains from reduced design flow complexity, leading to higher-quality results and improved collaboration through standardized workflows. Overall, FlowTracer streamlines the development process, reduces errors, and accelerates project completion by optimizing the execution of intricate design flows.

Italware S.R.L., established in 1990 and headquartered in Rome, Italy, is a prominent system integrator specializing in providing comprehensive IT solutions and services. As a member of the Digital Value group, Italware focuses on facilitating digital transformation for both public and private sector clients. The company offers a wide range of services, including the design, development, and implementation of IT infrastructures, as well as the supply of hardware and software products. Italware collaborates with leading technology vendors such as IBM, HP, Dell, Acer, SUN, Cisco, Microsoft, and Oracle to deliver tailored solutions that meet the specific needs of its clients. Key Features and Functionality: - Comprehensive IT Solutions: Italware provides end-to-end IT services, from initial technology assessment to post-implementation support, ensuring seamless integration and operation of IT infrastructures. - Hardware and Software Supply: The company offers a diverse range of hardware products, including servers, storage systems, personal computers, notebooks, tablets, and peripherals. Additionally, Italware supplies software solutions encompassing enterprise applications, security systems, and automation tools. - Partnerships with Leading Vendors: By partnering with major technology providers, Italware ensures access to the latest innovations and best practices in the industry, enhancing the quality and reliability of its offerings. - Professional Services: Italware delivers professional services with high levels of technical certification, covering areas such as project management, network cabling, security software solutions, and IT infrastructure optimization. Primary Value and Solutions for Users: Italware's primary value lies in its ability to guide organizations through the complexities of digital transformation. By offering tailored IT solutions and leveraging partnerships with leading technology vendors, Italware addresses critical challenges such as: - Enhancing Operational Efficiency: Through the implementation of advanced IT infrastructures and automation tools, Italware helps clients streamline operations and improve productivity. - Reducing IT Costs: By optimizing IT resources and offering cost-effective solutions, Italware assists organizations in managing and reducing their overall IT expenditures. - Ensuring Security and Compliance: With a focus on security systems and data protection, Italware provides solutions that safeguard sensitive information and ensure compliance with industry standards. - Facilitating Scalability and Growth: Italware's scalable solutions enable organizations to adapt to changing business needs and support future growth initiatives. By addressing these key areas, Italware empowers organizations to navigate the digital landscape effectively, achieve their strategic objectives, and maintain a competitive edge in their respective industries.

Physarum Machine Learning is a comprehensive AI and machine learning platform designed to empower engineers, data scientists, and analysts to derive trustworthy, actionable insights and efficiently solve complex problems. By offering a suite of self-service tools, integrated lifecycle management, and automated processes, Physarum enables the delivery of models, machine learning services, or entire AI applications in days rather than months. Key Features and Functionality: - No-Code Drag-and-Drop Model Development: Access over 200 pre-built algorithms and machine learning pipeline templates that can be configured and connected through a graphical user interface. For developers, the Physarum SDK provides a domain-specific language (DSL) to design sophisticated machine learning and deep learning pipelines with minimal coding. - AutoML for Rapid Experimentation: Automate the creation of advanced machine learning pipelines for computer vision, natural language processing (NLP), and tabular data. Physarum AutoML identifies top-performing pipelines, enabling the production of high-quality models in minutes. - Model Lifecycle Management: Manage the entire model lifecycle with built-in tools for hyperparameter optimization, experiment tracking, and visualization. Automatically version control code, pipelines, and parameters to ensure reproducibility and facilitate comparison of experimental runs to identify high-performing models. - Custom Interactive Workspaces for Developers: Launch interactive environments with built-in support for Jupyter notebooks and pre-installed machine learning libraries. Instantly deploy any machine learning or deep learning framework with native integration to NVIDIA GPU-optimized containers. Scale workloads seamlessly across on-premise, cloud, or hybrid compute engines with native Kubernetes and Spark integration. - Integrated Operationalization Framework: Utilize an integrated continuous integration and continuous deployment (CI/CD) framework to deploy production-grade endpoints directly from the workspace environment. Simplify tasks such as tracking, monitoring, configuration, compute resource management, serving infrastructure, and model deployment without the need for a fully-fledged code-based CI/CD framework. Primary Value and Problem Solved: Physarum Machine Learning addresses the challenges of developing and deploying machine learning models by providing a unified platform that streamlines the entire process. It reduces the time and complexity associated with building AI applications, making machine learning accessible to both newcomers and experienced practitioners. By automating non-creative tasks and offering flexible, extendable tools, Physarum enables organizations to rapidly develop, deploy, and manage machine learning solutions, thereby accelerating innovation and delivering business value more efficiently.

A Stratos é um ERP online para assistências técnicas e oficinas mecânicas que querem sair da planilha e do papel. Abra ordens de serviço, aprove orçamentos, acompanhe cada equipamento e emita nota fiscal de serviço, tudo em um só lugar. Descrição completa A Stratos é um sistema de gestão (ERP) em nuvem feito para assistências técnicas de dispositivos e oficinas mecânicas. Ela organiza o dia a dia da operação, do balcão à nota fiscal, sem instalação e com acesso pelo navegador, no computador ou no celular. Com a Stratos você: - Controla ordens de serviço: abra a OS, acompanhe o status (aberta, em andamento, aguardando peças, pronta, entregue e outros) e mantenha o histórico de cada equipamento. - Envia orçamentos para aprovação: monte o orçamento com serviços e peças e registre se o cliente aprovou ou recusou. - Emite nota fiscal: gere NFS-e direto da ordem de serviço, com acompanhamento do status da nota e orientação quando ela for rejeitada. - Mantém o cadastro de clientes: consulte a ficha com ordens, equipamentos, notas e atividade de cada cliente. - Padroniza seus serviços: o catálogo de serviços guarda o código de serviço e os impostos, e avisa quando falta algo para emitir a nota. - Usa checklists de entrada e saída: registre o estado do equipamento ao receber e ao entregar. - Imprime a OS em PDF para entregar ao cliente. - Gerencia várias empresas e equipe: cadastre mais de um CNPJ e defina usuários e permissões. - Fica em conformidade com a LGPD: a Stratos tem controle de consentimento de cookies, exportação de dados do cliente e exclusão de conta. A Stratos oferece período de teste gratuito e planos mensais. A interface é toda em português e segue o fluxo de trabalho de quem atende no balcão. Para quem é: assistências técnicas de celular, notebook e eletrônicos, e oficinas mecânicas de pequeno e médio porte.

Albert Invent's AI & ML platform, known as Albert Breakthrough, is an advanced solution designed to accelerate innovation in chemistry and materials science. By integrating artificial intelligence and machine learning, it empowers scientists to optimize formulations, predict molecular properties, and streamline research and development processes.

Meet Albert, the partner for the scientist of the future. Enterprises partner with Albert to reimagine how they invent. From digitalizing R&D and managing change at scale, to unlocking entirely new business models with AI, chemical and materials science leaders rely on Albert to achieve digital transformation — and ensure it delivers lasting value.

AminoCloud is an advanced analytics platform designed to empower analysts and data scientists by facilitating rapid experimentation, hypothesis testing, and discovery. It enhances the analytical process through an iterative and engaging approach, augmenting the user's tradecraft without replacing it. By enabling a "building blocks" methodology, AminoCloud allows users to mix and match features in ad hoc combinations, effectively playing out "what if" scenarios to address complex questions. This approach fosters discovery, encourages out-of-the-box thinking, promotes collaboration, and supports the development of economical, disposable heuristics.

AI Lab Assistant is a next-generation laboratory management platform that unifies LIMS, ELN, and LES functionalities into a single, intelligent solution. Enhanced by AI, it delivers real-time insights from your operational data—empowering labs to make faster, smarter decisions without the need for complex configurations or technical expertise. Designed for rapid deployment and intuitive use, AI Lab Assistant eliminates the long, costly implementation cycles often associated with traditional systems. Most teams are up and running in minutes—not months. Explore the platform with a free 14-day trial, no commitments required. Learn more at https://www.ailabassistant.com

ScienceDesk is an innovative platform for collaborative work on research data: documentation, data analysis and data management.

Vista LIMS is an AI-powered, cloud-native Laboratory Information Management System designed to simplify end-to-end testing operations for facilities ranging from small single-site setups to multi-location enterprise networks. Built specifically for environmental, material, and product testing laboratories, the platform delivers an intuitive, user-friendly interface that automates routine processes, eliminates manual data entry, and reduces sample turnaround times. By leveraging embedded artificial intelligence, Vista LIMS streamlines complex laboratory operations through smart data parsing, order collection, automated sample assignment, billing and COA generation. Engineered for strict regulatory environments, the software ensures effortless compliance with ISO/IEC 17025 standards through a comprehensive, tamper-proof automated audit trail, digital signatures, and granular role-based access controls. Its highly customizable engine allows laboratories to effortlessly tailor workflows to match specific standardized or proprietary testing protocols such as water, soil, air, and material safety testing across all connected branch facilities. Additionally, Vista LIMS comes pre-integrated with the broader VistaERP module suite, seamlessly linking laboratory quality data with core business functions like Procurement, Finance, CRM, and HRMS for a unified operational ecosystem.

Vitral AI is a comprehensive platform that seamlessly integrates various AI tools and large language models (LLMs) into a unified workspace, enhancing productivity and collaboration. Designed to cater to both individual users and teams, Vitral offers a flexible, modular environment where tasks ranging from coding and data analysis to content creation and research can be efficiently managed. Key Features and Functionality: - Flexible Workspaces: Create tailored, isolated work areas optimized for specific tasks or workflows, allowing users to switch focus seamlessly. - Multi-Model Integration: Access a variety of LLMs from top-tier providers, including OpenAI, Anthropic, Llama, Mistral, and Gemini, enabling users to select the most suitable model for their needs. - Visual Recognition: Utilize AI-powered tools to gain insights from images directly within the workspace. - Enhanced Conversation Interface: Engage in rich, interactive dialogues with AI agents, supporting markdown, code formatting, and more for a feature-rich experience. - Live Sample Creation & Management: Easily create and manage "Live Samples" or "Artifacts," iterating in real time until achieving the desired result. - Image Generation: Generate visuals on the fly using AI to enhance projects without leaving the workspace. - Modular Multi-Pane Workspaces: Adapt the workspace layout by splitting it into panes and loading necessary tools, tailoring the environment to specific requirements. - Interactive Web-Based Terminal: Work with compute instances directly from the browser, allowing real-time collaboration between users and AI agents. - Integrated Code Editor: Seamlessly work on coding projects with an integrated editor, where AI agents can assist or independently handle coding tasks. - Rich-Text Notebook: Keep notes organized with a rich-text editor, enabling AI agents to create and edit notes for easy documentation and collaboration. - Custom AI Agents: Leverage specialized AI agents like Mnemodia for data archiving, Iris for research, and Carlo for programming to streamline workflows. - Advanced Search & Data Indexing: Quickly find information across conversations, documents, files, or projects with powerful indexing tools. - AI-Managed Compute Instances: Allow AI agents to deploy and manage compute instances for tasks ranging from web services to complex workflows, providing dynamic, on-demand infrastructure. - Ample Storage Space: Store data securely with 25 GB of free storage, expandable up to 1 TB to accommodate larger projects and intensive data workflows. Primary Value and Solutions Provided: Vitral AI addresses the fragmentation often encountered in AI interactions by offering a cohesive, customizable workspace that integrates multiple AI tools and models. This integration enhances productivity by allowing users to manage complex workflows efficiently within a single platform. By supporting a wide range of LLMs and providing specialized AI agents, Vitral empowers users to select the most appropriate tools for their specific tasks. The platform's flexible workspaces and modular design enable users to tailor their environment to their workflow, reducing context switching and improving focus. Additionally, features like advanced search and data indexing, AI-managed compute instances, and ample storage space ensure that users can handle large-scale projects and data-intensive tasks with ease. Overall, Vitral AI streamlines the integration and utilization of AI technologies, making it an invaluable asset for professionals seeking to harness the full potential of AI in their work.

Labstep is a progressive web app, meaning you don’t need to download any software. Simply find us in your browser, where our platform automatically adjust to any screen size you might be using.