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Lulu Direct for Shopify is a print-on-demand book fulfillment solution that connects Lulu’s global printing network with Shopify, helping authors, publishers, creators, businesses, and entrepreneurs sell books and other printed products directly from their own ecommerce store. With Lulu Direct, Shopify merchants can sell custom books, notebooks, journals, magazines, workbooks, guides, planners, calendars, and other print products without purchasing or managing inventory. When a customer places an order through Shopify, Lulu automatically prints and fulfills the order and ships it directly to the customer using white-label fulfillment, allowing the seller’s brand to remain front and center. The integration combines Shopify’s ecommerce and sales tools with Lulu’s print-on-demand technology and global fulfillment network. Sellers can connect Lulu projects to products in their Shopify store, create different versions or bundles, manage customer orders through the Lulu Direct dashboard, and fulfill orders worldwide. Lulu supports both short-run and bulk printing, with no minimum order quantity required for print-on-demand fulfillment. Lulu Direct for Shopify is designed for businesses and individuals that want to monetize their content, knowledge, or intellectual property through physical products while maintaining control of their brand, customer relationships, pricing, and ecommerce experience. It can support everything from independent authors selling books directly to readers to educators, content entrepreneurs, publishers, and businesses selling training materials, workbooks, branded publications, or other custom print products. By connecting Shopify with Lulu Direct, sellers can build a direct-to-consumer print business without the operational burden of storing inventory, packing orders, or managing shipping themselves.

getLucci is pool route management software built by a route owner, for the one-to-five-truck pool service company. The route and the billing are the same data, so the work a tech finishes is the work the customer gets charged for — and a nightly check tells the owner about anything that slipped. Run the day from one screen: today's stops, who is assigned to each, what was done last visit, the chemical readings, and the before-and-after photos that land on the customer's invoice. Billing runs off the same route data, so what the tech completes is what the customer is charged. No re-keying at the end of the month, no reconciling a spreadsheet against a memory. Point a phone at an equipment pad and getLucci reads the label off the pump, filter, heater or salt cell and identifies the part. No squinting at a faded sticker, no second trip to the supply house with the wrong model number. A nightly check runs the route against the ledger and emails the owner what slipped through: stops completed but never invoiced, invoices sent but never paid, customers sitting on the route with no billing set up at all. On the founder's own route it surfaced $530 of finished work that had never been billed. Pricing is $1 per pool per month. The first 50 pools are free and stay free. Billing caps at $249 a month no matter how big the route gets, and there is no per-technician charge — the only pool software that stops charging you for growing. Built for the owner-operator running the business out of a notebook, a group text and a spreadsheet — and for anyone who has just bought a route and has nothing to migrate. Customers pay by card or bank transfer, and techs work from a phone in the field with no app store download.

Denvr AI Cloud is a high-performance, scalable platform designed to accelerate artificial intelligence (AI) development and deployment. It offers a comprehensive suite of services, including AI training, inference, and data science, all integrated within a vertically aligned infrastructure of software, hardware, and data centers located in Canada and the USA. This platform caters to innovators, creators, entrepreneurs, and business leaders seeking efficient and cost-effective AI solutions. Key Features and Functionality: - AI Compute: Provides on-demand or reserved AI compute resources across virtualized and bare metal environments, featuring NVIDIA H100, A100, and Intel Gaudi HPUs. - AI Inference: Offers high-speed, low-cost inference capabilities with fully managed API endpoints for seamless deployment of foundation or custom models. - AI Platform: Enables rapid deployment of private AI factories with pre-integrated compute, networking, and storage solutions. - Developer Platform: Includes Jupyter Notebooks for data exploration, pre-configured machine learning images with current GPU drivers, Docker, and container toolkits, along with APIs and CLI tools for automation. - Infrastructure Highlights: Features high-performance GPU clusters, ultra-fast networking, and scalable filesystems engineered to accelerate training, inference, and production workloads at any scale. Primary Value and Solutions Provided: Denvr AI Cloud addresses the challenges of AI development by offering a robust and flexible infrastructure that simplifies the deployment and scaling of AI workloads. By providing access to cutting-edge hardware and software tools, it reduces setup time, cost, and technical complexity for AI developers. The platform's security-first architecture ensures data privacy and compliance, while its integrated MLOps tools support continuous integration and deployment pipelines. Additionally, Denvr AI Cloud's flexible pricing models, including on-demand and reserved options, allow organizations to optimize costs based on their specific needs. This comprehensive approach empowers users to focus on innovation and accelerate their AI initiatives effectively.

Mito AI is an advanced tool designed to enhance data analysis within Jupyter notebooks by integrating AI-driven functionalities directly into the workflow. It offers a suite of features that streamline data manipulation, code generation, and error debugging, enabling users to perform complex data transformations and analyses more efficiently. By providing a conversational interface akin to ChatGPT, Mito AI allows users to interact with their data intuitively, reducing the need for manual coding and accelerating the analytical process. Key Features and Functionality: - AI Chat Interface: Engage with an AI assistant that understands your code and data context, facilitating natural language commands to perform data transformations and analyses. - Smart Debugging: Automatically identify and correct errors in your code, with the AI providing explanations to enhance understanding and learning. - Spreadsheet Editor: Utilize an interactive spreadsheet interface within Jupyter to apply filters, build pivot tables, and create graphs, with every action automatically converted into Python code. - Agent Capabilities: Automate complex tasks by instructing the AI agent to plan and execute steps, from data exploration to generating presentation-ready insights. - Database Integration: Connect to various databases, allowing Mito AI to query data using natural language without writing SQL, streamlining data retrieval and analysis. Primary Value and User Solutions: Mito AI addresses the challenges of manual coding and error-prone data manipulation by providing an AI-powered interface that understands the user's data and code context. This integration significantly reduces the time and effort required for data analysis, making it accessible to users with varying levels of programming expertise. By automating routine tasks and offering intelligent code suggestions, Mito AI enhances productivity, ensures accuracy, and allows users to focus on deriving meaningful insights from their data.

dlt (data load tool) is an open-source Python library designed to simplify the process of loading data from various, often unstructured sources into well-organized, live datasets. It offers a lightweight interface for extracting data from REST APIs, SQL databases, cloud storage, and Python data structures, making it accessible for developers of all skill levels. By automating tasks such as schema inference, data normalization, and incremental loading, dlt reduces the complexity traditionally associated with data engineering. Key Features and Functionality: - Versatile Data Extraction: Supports a wide range of data sources, including REST APIs, SQL databases, cloud storage, and Python data structures. - Automated Schema Management: Automatically infers and evolves schemas, handling nested data structures and ensuring data consistency. - Incremental Loading: Efficiently manages data updates by loading only new or changed data, reducing processing time and resource usage. - Flexible Deployment: Can be deployed anywhere Python runs, including Airflow, serverless functions, and notebooks, without the need for external APIs, backends, or containers. - Declarative Interface: Provides a user-friendly, declarative interface that simplifies pipeline creation and maintenance, making it accessible to both beginners and experienced professionals. - Customizable Sources and Destinations: Offers over 60 pre-built, fully customizable data sources and supports various destinations, including local databases, data warehouses, and data lakes. Primary Value and Problem Solved: dlt addresses the challenges of data integration by providing a streamlined, Pythonic solution for building and maintaining data pipelines. It eliminates the need for complex infrastructure, allowing developers to focus on deriving insights rather than managing data movement. By automating tedious tasks like schema management and incremental loading, dlt enhances productivity and ensures data reliability. Its flexibility and ease of use empower data teams to create and share datasets efficiently, fostering a collaborative and data-driven environment.

Flavorish is an innovative recipe management platform designed to streamline the cooking experience for home chefs. It allows users to effortlessly save, organize, and access recipes from various sources, including websites, social media platforms, and personal images. With features like AI-powered recipe generation and hands-free Cooking Mode, Flavorish transforms the way users plan and prepare meals, making cooking more efficient and enjoyable. Key Features and Functionality: - Unlimited Recipe Saving: Users can import and store an unlimited number of recipes from their favorite websites, ensuring all culinary inspirations are centralized in one place. - Social Media Integration: Flavorish enables the saving of recipes directly from platforms like TikTok, Instagram, and YouTube, allowing users to capture and organize recipes discovered on social media effortlessly. - Image-Based Recipe Import: The platform offers the capability to digitize recipes from images, such as handwritten notes or cookbook pages, by simply uploading a photo, which is then converted into a digital format. - AI Recipe Generation: Flavorish provides AI-driven recipe creation, offering personalized meal ideas based on user preferences and available ingredients. - Cooking Mode: A hands-free feature that keeps the device screen active while cooking, allowing users to follow step-by-step instructions without interruptions. - Cross-Device Synchronization: Recipes and grocery lists are synced across multiple devices, ensuring accessibility whether in the kitchen, at the store, or on the go. Primary Value and User Solutions: Flavorish addresses common challenges faced by home cooks, such as managing scattered recipes, dealing with cluttered bookmarks, and navigating ad-heavy websites. By consolidating recipes from various sources into a single, organized, and ad-free platform, it enhances the cooking experience. The integration of AI and hands-free features further simplifies meal planning and preparation, catering to both casual cooks and culinary enthusiasts seeking efficiency and inspiration in the kitchen.

3LC is an innovative platform designed to enhance machine learning workflows by providing real-time debugging, diagnosis, and correction of data-related issues. By integrating seamlessly into existing model training processes with just three lines of code, 3LC offers a turn-key solution that requires no workflow redesign. It supports various machine learning tools and frameworks, including Python, PyTorch, and Jupyter, and operates directly with data stored in environments like Azure, Amazon, Google Cloud, network storage, or local storage, eliminating the need to move or upload data. Key Features and Functionality: - Seamless Integration: 3LC integrates effortlessly into current workflows, notebooks, and machine learning tools without necessitating any changes to existing processes. - Real-Time Data Debugging and Diagnosis: The platform provides real-time insights into model training, allowing users to identify and correct data-related issues promptly. - Support for Multiple Frameworks: 3LC is compatible with a wide range of machine learning frameworks and tools, including Python, PyTorch, Jupyter, and more. - Data Localization: Users can keep their data in its original location, as 3LC works directly with data stored on various platforms without requiring data movement. Primary Value and Problem Solved: 3LC addresses the critical challenge of data quality in machine learning by offering a solution that enhances model performance through improved data debugging and diagnosis. Clients have reported transformational benefits, including a 30x reduction in false positives, a 50% increase in true positive rates, a 75% reduction in training time, and decreased costs and CO2 emissions. By providing real-time insights and seamless integration, 3LC empowers data scientists to refine their models efficiently, leading to more accurate and reliable AI systems.

PipeBio is a cloud-based bioinformatics platform designed to streamline the discovery and development of biologics, including antibodies, T-cell receptors (TCRs), and peptides. It offers scientists and bioinformaticians a comprehensive suite of tools for analyzing, visualizing, and managing large-scale sequence data, facilitating faster and more efficient research processes. Key Features and Functionality: - Sequence Analysis: Supports the analysis of B-cell receptors (BCR), TCRs, single-chain variable fragments (scFv), variable heavy domains (VHH), and peptides, enabling detailed examination and annotation of sequences. - Automated Workflows: Allows users to configure and execute end-to-end workflows, automating the identification of candidate sequences from extensive next-generation sequencing (NGS) antibody repertoires, hybridoma sequencing, and biopanning experiments. - Sequence Database and Storage: Provides a centralized database to store antibody sequences, associate relevant metadata such as target specificity and binding affinity, and compare new experimental sequences with existing data. - Integration and API: Offers integration capabilities with electronic lab notebooks (ELN), laboratory information management systems (LIMS), and internal tools through a REST API, facilitating seamless data exchange and workflow automation. - Visualization Tools: Includes interactive charts and plots to visualize sequence clusters, amino acid frequencies, codon usage, sequence quality, and phylogenetic relationships, enhancing data interpretation. - Antibody Engineering: Features tools for editing sequences at the nucleotide or protein level, calculating protein properties, optimizing codons for synthesis, and analyzing hydrophobicity, supporting the engineering of improved antibody candidates. Primary Value and Problem Solved: PipeBio addresses the challenges associated with managing and analyzing large-scale sequence data in biologics research. By providing an integrated, user-friendly platform, it enables researchers to efficiently process and interpret complex datasets, identify promising candidates, and accelerate the development of therapeutic biologics. The platform's automation and integration capabilities reduce manual tasks, minimize errors, and enhance collaboration, ultimately leading to faster and more effective drug discovery processes.

CloudsAI is an AI platform designed to deploy and manage AI factories across diverse environments, including public clouds, private virtual private clouds (VPCs), on-premises data centers, sovereign regions, and air-gapped systems. It offers a unified deployment contract and consistent developer experience, enabling seamless operation on various accelerators without code modifications. This flexibility ensures that organizations can implement AI solutions wherever data residency, latency, and regulatory requirements dictate. Key Features and Functionality: - Unified Deployment Contract: Utilizes a single specification to define accelerator, fabric, and storage configurations, ensuring consistency across all environments. - Preconfigured Developer Experience: Provides a standardized command-line interface (CLI), notebooks, and APIs, facilitating a uniform development process regardless of deployment location. - Secure Agent Runtime: Incorporates sandboxing, out-of-process policy enforcement, and credential brokering to enhance security during AI operations. - Comprehensive Deployment Models: Supports deployment across public clouds, private VPCs, on-premises infrastructure, sovereign regions, and air-gapped environments, catering to diverse operational needs. - Heterogeneous Accelerator Support: Optimized for various accelerators, including NVIDIA, AMD, Intel, Qualcomm, and ARM, ensuring compatibility and performance across different hardware platforms. Primary Value and User Solutions: CloudsAI addresses the complexities of deploying and managing AI solutions across multiple environments by providing a consistent and portable platform. It eliminates the need for environment-specific rebuilds, reducing development time and operational overhead. By supporting heterogeneous accelerators and offering per-workload tuning, CloudsAI ensures optimal performance tailored to specific hardware configurations. Its emphasis on security and compliance, particularly in sovereign and air-gapped deployments, allows organizations to maintain control over their data and models, meeting stringent regulatory requirements. Ultimately, CloudsAI empowers enterprises to scale AI capabilities efficiently and securely, transforming AI from experimental projects into durable, enterprise-wide capabilities.

Serment is a digital plant protection register designed for small independent winegrowers. It replaces the paper notebook and evening re-typing with a mobile app that works in the vineyard, even without a network connection, and synchronizes once the connection returns. Recording a treatment takes about thirty seconds. The grower types the first letters of a product name and Serment suggests matching products from E-Phy, the official French catalogue published by ANSES and updated every week. For each product, the app shows its authorized uses on grapevine, the maximum dose, the pre-harvest interval and the re-entry interval, and it flags a dose above the authorized maximum. Weather conditions at the time of the treatment are captured automatically from Météo-France. One entry can cover several plots at once, and recurring treatments can be saved as templates. The home screen shows the status of each plot: whether re-entry is allowed and from which date harvest is possible. Serment also tracks copper use against the European limit of 28 kg of metallic copper per hectare over seven years, reminds growers of recurring deadlines such as the Certiphyto operator certificate, sprayer inspections and products withdrawn from the catalogue, and places plots on the official cadastral map. The register follows the content and format set by EU Implementing Regulation 2023/564 and the French order of 24 December 2025, which introduce a digital, machine-readable register from 1 January 2027. It can be exported at any time as a PDF ready for an inspection, or as a CSV file. Each entry carries an integrity fingerprint; entries are never edited, only cancelled, so the original record remains. Data stays private: it is hosted in Europe and never shared with third parties. Serment is offered as a single plan with a 14-day free trial that requires no credit card, and phone onboarding is included during the first year.

Virage is management software built for car rental agencies in Morocco. Its Cockpit replaces the notebook, the Excel file and the WhatsApp threads that most agencies still use to run their fleet. The booking calendar shows every car day by day and refuses a second booking on a car that is already taken for those dates. Each booking keeps the customer file, the amount paid, the balance and the deposit, so the counter knows at a glance who still owes money. A photo of the customer's ID card fills the booking (the photo is not stored), and the rental contract is generated in one click as a bilingual French/Arabic PDF. Check-out and check-in come with a guided photo inspection, and the return is compared with the departure. Virage also handles the admin side of a fleet: alerts before insurance, technical inspection or road tax expire; a daily view of hand-overs and returns; late returns and no-shows; occupancy per car, idle cars, and costs and profitability per car; and a monthly export for the accountant. When a traffic fine arrives, "Find the driver" matches the car, date and time of the notice to the rental that covered that moment. The interface is available in English, French and full right-to-left Arabic, for owners and counter staff alike. It runs in the browser on phone, tablet or computer, with nothing to install. Agencies own their data and can export it at any time. Pricing is in Moroccan dirhams. Starter is free for up to 6 cars, with no time limit. Pro costs 290 MAD per month, with unlimited cars and users. Business costs 5,900 MAD per year, payable in one or two installments, and adds a booking website built by Virage and connected to the Cockpit, plus an AI receptionist. Every new account gets its first month free, with every Cockpit feature (the website is not part of the trial). Payment is by bank transfer or cash deposit.

Emlak Pro Takip is management software for real estate offices in Turkey. Rent dates kept in a notebook, the portfolio in Excel and client requests lost in WhatsApp threads all move into one panel. The office owner, agents, landlords and tenants each sign in with their own account. Listings and clients - Pro Market: the office's own sale and rental listings in one list, each assigned to an agent; mark a listing as sold in one click. - Portföy Bul (client requests): type a client's request in their own words or dictate it. The system fills in location, budget and room count, and you check it before saving. You can also open a request to other offices. - Request matching: every request is compared with the office's listings, and matching listings appear under the request with a match score. - Branded presentations: selected listings become a presentation with your office branding, sent to the client as a single link. - Add from a link: paste the URL of a sahibinden or Emlakjet listing to add it to your presentation. Rent and leases - Rent tracking with automatic late-payment detection and tenant notifications. - Lease end dates, tenant balances and payment plans. - Bulk import of existing leases from PDF, Word or Excel. Office and team - Agent management: assign and follow up tasks, agent performance, earnings and commissions. - Income and expenses, maintenance requests, and calculators for loans, title deed fees and commissions. Companies renting out their own units (developers, property managers, serviced apartments) can use it without an agency: add units, create leases, track rent and repairs, and see income and expenses. Foreign tenants can be added with a passport number. Works in the browser and on iOS and Android. Data is stored on servers in Turkey. 14-day free trial, no credit card required; onboarding support included. The interface is available in Turkish, English, German, Russian and Ukrainian.

Coavon is business software for teams that are tired of stitching tools together. It brings seven connected apps onto one account, with one sign-in and one price per person: - Flow for tasks and projects: boards, lists, calendars and a Gantt chart, recurring tasks, subtasks, milestones, templates, custom fields, automations, forms, goals and dashboards. - Scope, a CRM: companies, people and your own record types, pipelines with drag-and-drop stages, follow-up dates, automations that start the project work in Flow, spreadsheet import and export, and public forms. - Docs, a full document editor: real pages, comments, suggested edits and version history, downloadable as Word or PDF. - Drive for file storage: folders, previews of images, PDFs and video, and sharing. - Chat for team messaging: channels, group chats and direct messages, with mentions and search. - Notes, a private notebook that can turn a highlighted line into a Flow task. - Calendar for events and scheduling, with your Flow tasks beside your meetings and a two-way connection to Google Calendar. Workplace is the hub: members, roles and permissions, billing, and one place to open every app. Because the apps share one account, the work flows through them: a deal won in Scope can create a project in Flow from your own template, with the client's documents in Docs and files in Drive, and the conversation in Chat. Coavon connects to Claude, ChatGPT, Gemini and Perplexity, so you can work on tasks, clients, events and notes from an AI conversation. It also offers an API, automation web addresses for tools like Zapier and Make, Google Drive attachments and Google sign-in. Every plan includes every app. Teams start with 14 days of Pro free, with no card, and can stay on a Free plan for one person. Paid plans start at $8 per person a month, billed yearly.

PubCompare is a research optimization platform focused on extracting and comparing experimental protocols from millions of scientific publications and patents. By navigating directly through the methods sections of documents, it allows researchers to easily identify subtle differences and select the most efficient protocols for their experiments. The platform features a topic-based search for quick access to relevant methodologies and a protocol comparator that showcases variations between similar set-ups. Designed for both academic and industrial scientists, PubCompare aims to minimize experimental errors, save on research costs, and enhance overall research quality. Available in free and premium models, it provides essential tools for precision-driven scientific inquiry.

With Labnote, you gain access to a trusted and open cloud platform that transforms your research process. Our innovative features, such as converting raw text into structured lab notes and harnessing the power of machine-learning, redefine how you approach experimentation. We believe in the potential of technology to amplify human ingenuity, enabling you to accelerate discoveries that shape the future.

Aqemia is a pioneering pharmatech company dedicated to revolutionizing drug discovery by integrating quantum-inspired physics with advanced machine learning. Established in 2019 as a spin-off from École Normale Supérieure, Aqemia has rapidly developed a robust pipeline of drug discovery projects, aiming to expedite the identification and development of novel therapeutic molecules.

Indigo ELN provides scientists with a proven way to create, store, retrieve, and share electronic records of chemistry information in ways that meet all legal, regulatory, technical, and scientific requirements. The new Indigo ELN provides rich capabilities for customization and integration with customer services. An important new feature is the flexibility to adjust Indigo ELN to custom needs in terms of user access policy, integration with existing databases, and registration with electronic signature services.

Ddots IRBANA can be utilized as a stand-alone system or partnered with CREDIT. It supports the entire protocol tracking elements required of the IRB and facilitates easy communication between research and regulatory staff members.

The Operoo system was designed and developed by the CareMonkey company in Melbourne, Australia. Up until 2020, the Operoo product was known as CareMonkey. CareMonkey entered the market in October 2013 as a platform to automatically keep medical and emergency contact details up to date for schools. The product quickly gained acceptance in the education marketplace and very soon thereafter was adopted by other groups. Scouts, sports clubs, choirs, community and church groups, camps, businesses, disability service providers and other groups all used CareMonkey to automate the process of managing information that was necessary for them to deliver on their duty of care obligations.

CageSync is a modern QR-based animal colony and in vivo experiment management platform designed for research laboratories working with mice and other laboratory animals. CageSync helps researchers seamlessly track breeding timelines, genotypes, treatments, cage transfers, weaning schedules, humane endpoints, and experimental time points, all from a smartphone-friendly interface. The platform supports barcode, QR code, and NFC-based animal/cage tracking, automated reminders, cage history tracking, and seamless Google Sheets integration to simplify laboratory workflows and reduce human error during animal experiments. Built for modern research environments, CageSync aims to replace fragmented spreadsheets, handwritten notes, and manual tracking systems with a fast, intuitive, and reliable workflow management solution for academic and biotech labs.