Search results for Task Coach

Auriko is an AI control platform designed to optimize large language model (LLM) inference by intelligently routing requests across multiple providers. By treating LLM providers as trading venues, Auriko applies quantitative arbitrage methodologies to select the most cost-effective and efficient inference paths. This approach enables users to achieve significant reductions in inference costs while maintaining high performance and reliability. Key Features and Functionality: - Unified API Access: Auriko offers a single, OpenAI-compatible API that integrates with over 12 LLM providers, including OpenAI, Anthropic, and Google AI Studio. This allows seamless access to various models without the need for code modifications. - Cost Optimization: The platform models workload interactions with each provider's pricing and caching mechanisms, routing requests to the lowest-cost provider for each specific task. - Predictive Performance Signals: Auriko provides real-time insights into provider performance, health, cache behavior, and user usage patterns, facilitating informed routing decisions and performance tuning. - Customizable Routing Strategies: Users can define routing strategies based on objectives such as cost, latency, throughput, or a balanced approach, tailoring the system to their specific needs. - Global Deployment and Failover: The platform utilizes a globally distributed edge network for optimized latency and includes automatic failover mechanisms to ensure continuous uptime. - Key Orchestration and Budget Controls: Auriko supports both user-provided and platform-managed API keys, maximizing key utilization. It also offers budget controls with spending limits and alerts at both workspace and API key levels. Primary Value and User Solutions: Auriko addresses the challenges of managing and optimizing LLM inference across multiple providers. By automating the selection of the most cost-effective and efficient inference paths, it reduces operational costs and complexity for developers and organizations. The platform's unified API simplifies integration, while its intelligent routing and real-time performance insights ensure optimal resource utilization and reliability. This empowers users to focus on developing and deploying AI applications without the overhead of manual provider management and cost optimization.

WebPot Dev is a web development and e-commerce development company specializing in Magento 2, custom PHP development, and high-performance online stores. We help businesses build, improve, migrate, and maintain scalable e-commerce platforms tailored to their specific business and technical requirements. Our core expertise includes Magento 2 development, custom Magento modules, integrations, performance optimization, server-side development, API integrations, UX/UI implementation, and ongoing technical support. We work with both existing Magento stores that require optimization or modernization and businesses looking for a custom e-commerce solution. WebPot Dev combines development and infrastructure expertise, allowing us to work across the full technical stack — from application architecture and backend development to database optimization, caching, server configuration, security, and deployment. We primarily serve businesses in Hungary and across the European market, with a focus on technically demanding e-commerce projects where performance, scalability, reliability, and long-term maintainability are important. Our goal is to provide practical, technically sound solutions that improve the performance and reliability of online businesses while giving clients a development partner capable of handling both individual development tasks and complex e-commerce projects.

GoModel: The AI Gateway That Saves You Money and Nerves GoModel is a fast, reliable, and cost-efficient AI gateway for LLM applications. It helps you reduce AI infrastructure costs, improve performance, and simplify the way your application connects to multiple AI models and providers. GoModel gives you the tools to make every AI request more resource-efficient. Use response caching to avoid paying twice for the same or similar requests. Track your LLM usage and spending in one place, optimize prompts with prompt compression, and use intelligent model routing** to automatically choose the right model for each task. The result: lower AI costs without sacrificing the quality of your application. Save Your Nerves With a Reliable AI Gateway AI infrastructure should work without becoming another system you constantly need to babysit. GoModel is built for reliability, speed, and consistent response quality. It gives developers a dependable layer between their applications and AI providers, helping reduce complexity while improving resilience and performance. Our ambition is simple: GoModel should be the last AI gateway you ever need. Reliable. Resource-efficient. Feature-rich. Fast. One gateway for building, optimizing, and scaling production AI applications.

File Shredder & Disk Wipe - Secure Data Eraser is a Windows file shredder for anyone who needs deleted data to stay deleted. Emptying the Recycle Bin only drops the file entry, and the old bytes remain in place until newer data happens to cover them. This app writes zeros, random bytes or a pattern from a published standard over every sector a file used and only then removes it. That is secure file deletion in the literal sense. It can also overwrite the unused area of a drive and clear a whole non-system volume, so one window covers the file shredder disk wipe jobs most offices meet. 🛠️ How to use it 1. Install the app on Windows 10 or 11 and open the start screen with its task tiles. 2. Pick a tile: shred items, clean the empty area, erase a volume, or remove traces. 3. Drag files onto the list or use the buttons for single files and whole folders. 4. Select a method. There are 16, from a quick zero pass up to Gutmann's 35 passes. 5. Read the item count in the warning dialog, then confirm the shred. 💼 Why IT and office teams pick it A finished job can produce an erasure certificate in PDF that records the method, target, media type and result, ready to attach to a ticket. With verification switched on, the file shredder rereads every byte without the cache and counts mismatches. Windows, Program Files and ProgramData are refused, so a stray click cannot damage the system. As disk wipe software it also checks whether a target is an HDD, an SSD or flash media and warns when overwriting may miss old cells. 👥 Who uses it People selling or donating a used PC, technicians refurbishing laptops, accountants, lawyers and photographers who keep client files, and small offices returning leased machines. Owners of laptops that travel can link Remote Wipe to their own Telegram bot and erase marked folders with /wipe if the device goes missing. ❓ FAQ Can a file shredder really stop recovery? For hard drives, yes. The overwrite replaces the old sectors, so a recovery scan finds a pattern instead of your document. Is shredding on SSDs reliable? No. Wear leveling and TRIM move writes between cells, and the program warns you about it first. To clear a full SSD, run the vendor's own Secure Erase or NVMe Sanitize command. Can a stranger trigger Remote Wipe? No. Your bot talks only to your chat ID, touches only the folders you picked, and stays off until you enable it. A password for /wipe is optional. What does the free tier cover? A single complete erase job with Zeroes or Random, for shredding or trace cleanup. The other 14 methods, free space and volume wiping, Remote Wipe and certificates need a license, so the file shredder can be judged on real files first. ✅ Free trial: one erase job using a one-pass method, no sign-up. Works on Windows 10 and 11 with HDD, SSD, NVMe, USB flash, SD cards and external USB drives.

Flyte is an open-source, Kubernetes-native workflow orchestrator designed to unify data processing, machine learning, and analytics. It enables the creation of highly concurrent, scalable, and reproducible workflows, facilitating robust and reliable application development. Flyte supports multiple programming languages, including Python, Java, and Scala, allowing teams to build workflows using their preferred tools. Its architecture comprises a user plane, control plane, and data plane, ensuring efficient workflow execution and management. Key Features and Functionality: - Strongly Typed Interfaces: Flyte enforces data validation at every workflow step by defining data guardrails using Flyte types, integrating seamlessly with tools like Pandera and Great Expectations for in-depth validation. - Multi-Language Support: Develop workflows in any language using raw containers or utilize Flyte's SDKs for Python, Java, Scala, or JavaScript, providing flexibility in workflow development. - Dynamic Workflows: Support for dynamic workflows, including map tasks, branching, and dynamic task generation, allows for complex and adaptable workflow structures. - Data Lineage and Visualization: Track data lineage and visualize data and artifacts, enhancing transparency and understanding of data flow within workflows. - Scalability and Resource Management: Flyte offers GPU acceleration, dependency isolation via containers, parallelism, and dynamic resource allocation, ensuring efficient scaling of workflows. - Fault Tolerance and Recovery: Features like failure recovery, single-task reruns, versioned workflows, output caching, intra-task checkpointing, and multi-tenancy support enhance workflow resilience. - Deployment and Monitoring: Facilitates seamless deployment from development to production, supports spot or preemptible instances, cloud-native deployment, scheduling, secrets management, notifications, and timeline views for monitoring. Primary Value and Problem Solved: Flyte addresses the challenge of balancing scalability with ease of use in workflow orchestration. Its meticulous design and robust architecture simplify the creation and management of complex data and ML workflows, enabling high-performance teams to build and deploy workflows more efficiently. By providing strongly typed interfaces, multi-language support, dynamic workflows, and comprehensive monitoring tools, Flyte ensures that workflows are not only scalable and reliable but also easy to develop and maintain. This empowers organizations to focus on innovation and value creation without being hindered by the complexities of workflow orchestration.

Devart's SSIS Data Flow Components for Google Ads are designed to seamlessly integrate Google Ads data with various cloud applications and databases through SQL Server Integration Services (SSIS. These components facilitate efficient extraction, transformation, and loading (ETL processes, enabling users to automate data workflows, synchronize Google Ads data with SQL Server, and import or export CSV files to and from Google Ads. Key Features and Functionality: - Optimized Components: Includes Google Ads Source, Destination, and Lookup components, each tailored for high-performance data operations. - SQL Support: Allows the use of SQL queries to retrieve data from Google Ads, supporting complex SELECT statements with grouping, filtering, and ordering. - User-Friendly Editor: Provides a convenient editor that displays all Google Ads objects and fields, enabling users to build queries via drag-and-drop and preview data outputs. - Advanced Lookup Optimization: Employs optimization techniques to enhance performance by reducing server round-trips and caching results. - Comprehensive DML Operations: Supports INSERT, UPDATE, and DELETE operations for efficient data management within Google Ads. Primary Value and User Solutions: By integrating Google Ads data directly into SSIS workflows, these components eliminate the need for manual data handling, reducing errors and saving time. They enable businesses to automate data integration tasks, synchronize advertising data with internal databases, and generate comprehensive reports, thereby enhancing data-driven decision-making and optimizing marketing strategies.

DataDreamer is an open-source Python library designed to streamline workflows involving large language models (LLMs). It facilitates prompting, synthetic data generation, and model training, offering a simple yet powerful toolset for researchers and developers. Key Features and Functionality: - Prompting Workflows: Easily create and execute complex, multi-step prompting workflows using both open-source and API-based LLMs. - Synthetic Data Generation: Generate synthetic datasets for novel tasks or augment existing datasets, enhancing the diversity and volume of training data. - Model Training and Alignment: Support for aligning models, fine-tuning, instruction-tuning, and distillation, enabling the development of models tailored to specific applications. - Efficiency and Reproducibility: Features aggressive caching, resumability, and support for techniques like quantization and parameter-efficient training (e.g., LoRA), ensuring efficient and reproducible workflows. - Data and Model Publishing: Simplifies the process of exporting and publishing datasets and models to platforms like the Hugging Face Hub, automatically generating data and model cards with relevant metadata. Primary Value and Problem Solved: DataDreamer addresses the challenges associated with utilizing LLMs in research and development by providing a unified, efficient, and reproducible framework. It simplifies the creation of complex workflows, enhances data generation capabilities, and supports comprehensive model training processes. By focusing on simplicity, efficiency, and reproducibility, DataDreamer empowers users to leverage LLMs effectively, fostering innovation and accelerating progress in natural language processing and related fields.

GemTalk Systems LLC specializes in developing and publishing advanced infrastructure software solutions, with a primary focus on Smalltalk technologies. Their flagship product, GemStone/S, is an object-oriented database and application framework designed to support the development, deployment, and management of scalable, high-performance, multi-tier applications. Established in 1982, GemTalk Systems has a longstanding history of delivering robust software solutions across various industries, including finance, insurance, transportation, telecommunications, and utilities. Key Features and Functionality: - Object-Oriented Database: GemStone/S provides a dynamic, object-oriented database system that facilitates complex data modeling and management. - Scalability: The platform is engineered to handle large-scale applications, ensuring efficient performance even under high transaction volumes. - Cross-Platform Compatibility: GemStone/S supports multiple operating systems, including AIX, Linux, macOS, and Solaris, offering flexibility in deployment. - Distributed Computing: The system enables distributed caching and computing, allowing for the development of applications that require real-time data processing across various nodes. - In-Memory Processing: GemStone/S incorporates in-memory database capabilities, enhancing the speed and responsiveness of applications. Primary Value and User Solutions: GemStone/S addresses the critical need for reliable and efficient data management in complex, mission-critical applications. By offering an object-oriented approach, it simplifies the development process, allowing developers to create more intuitive and maintainable codebases. Its scalability ensures that businesses can grow their applications without compromising performance, making it ideal for industries that demand 24/7 operation and high-volume transaction processing. Additionally, the platform's support for distributed computing and in-memory processing enables organizations to build responsive and resilient systems capable of handling real-time data across distributed environments.

Devart's BigCommerce SSIS Components are designed to streamline the integration of BigCommerce data with various databases and cloud services through SQL Server Integration Services (SSIS. These components facilitate efficient ETL (Extract, Transform, Load processes, enabling users to manage BigCommerce products, customers, orders, brands, and other entities seamlessly. By providing optimized Source, Destination, and Lookup components, along with a dedicated BigCommerce Connection Manager, Devart ensures high-performance data import and export operations. Key Features and Functionality: - SQL Support for BigCommerce: The BigCommerce Source component supports SQL queries, allowing users to execute complex SELECT statements with grouping, filtering, and ordering directly within the SSIS environment. - User-Friendly Source Editor: A convenient editor displays all BigCommerce objects and fields, enabling users to build queries via drag-and-drop. It also lists available system and user variables, facilitating quick integration into SELECT statements. - Advanced Lookup Optimizations: The Lookup component employs advanced optimization techniques, processing multiple rows simultaneously and caching results to minimize server round-trips, thereby enhancing performance. - High-Performance Destination Component: The Destination component supports all DML operations—INSERT, UPDATE, and DELETE—allowing for rapid data loading into BigCommerce. Primary Value and Problem Solved: Devart's BigCommerce SSIS Components address the challenge of integrating BigCommerce data with other systems by providing a robust and efficient solution within the SSIS framework. Users can automate data import and export tasks, synchronize BigCommerce with SQL Server or other data sources, and manage CSV file transfers effortlessly. This integration enhances data consistency, reduces manual effort, and improves overall operational efficiency for businesses leveraging BigCommerce.

Spotfire® Enterprise is an advanced analytics platform designed for large-scale organizations, enabling streamlined operations, compliance assurance, and enhanced collaboration. It offers centralized and automated analytics with robust governance capabilities, allowing businesses to make data-driven decisions confidently. Key Features and Functionality: - Centralized and Secure Publishing: Share analyses and applications securely, ensuring critical insights are accessible to relevant stakeholders. Centralized dashboards with cached and automatically refreshed data updates promote alignment and data-driven collaboration across teams. - Robust Security and Governance: Spotfire Enterprise provides comprehensive security measures to meet stringent regulatory requirements. Native security features support seamless collaboration while maintaining strict control over sensitive data, including detailed audit trails for full transparency. - Automated Decision-Making: Automates repetitive tasks such as data refreshes and report distribution, ensuring users have access to the latest information without manual intervention. This streamlines workflows and promotes proactive decision-making. - Seamless Integration and Extensibility: Integrates with APIs, third-party tools, and custom applications, allowing organizations to tailor the platform to specific workflows. This flexibility ensures smooth interoperability with existing IT environments, including cloud platforms, ERP systems, and CRM software. Primary Value and Solutions Provided: Spotfire Enterprise empowers organizations to make informed, data-driven decisions by providing a centralized platform for analytics and collaboration. Its robust security and governance features ensure compliance with regulatory standards, while automation capabilities enhance operational efficiency. The platform's flexibility and scalability allow businesses to adapt to evolving demands, integrating seamlessly with existing systems and supporting new use cases. By offering real-time data capabilities and data virtualization through its add-ons, Spotfire Enterprise enables proactive responses to critical events and simplifies complex data ecosystems, ultimately driving smarter decisions and business growth.

Devart's SSIS Data Flow Components for Insightly CRM are designed to seamlessly integrate Insightly CRM data with various databases and cloud applications through SQL Server Integration Services (SSIS. This suite includes optimized components such as Insightly Source, Insightly Destination, and Insightly Lookup, along with a dedicated Insightly Connection Manager, facilitating efficient data extraction, transformation, and loading (ETL processes. Key Features and Functionality: - SQL Support for Insightly CRM: The Insightly Source component supports SQL queries, translating simple statements directly into Insightly CRM API calls for execution. Complex queries involving grouping, filtering, and ordering are processed locally after retrieving the necessary data from Insightly CRM. - User-Friendly Source Editor: A convenient editor displays all Insightly CRM objects and fields, enabling users to construct queries via drag-and-drop. It also lists available system and user variables, allowing for quick incorporation into SELECT statements. - Advanced Lookup Optimizations: The Insightly Lookup component employs advanced optimization techniques, processing multiple rows simultaneously and caching results to minimize server round-trips, thereby enhancing performance. - High-Performance Destination Component: The Insightly Destination component supports all DML operations—INSERT, UPDATE, and DELETE—allowing for rapid data loading into Insightly CRM. Primary Value and User Solutions: By leveraging Devart's SSIS Data Flow Components for Insightly CRM, organizations can: - Streamline Integration Processes: Quickly develop SSIS-based solutions to integrate Insightly CRM with other systems, reducing development time and complexity. - Automate Data Workflows: Automate data import and export tasks, including handling CSV files, to maintain up-to-date and accurate information across platforms. - Enhance Data Synchronization: Synchronize Insightly CRM data with SQL Server or other data sources, ensuring consistency and reliability in data management. These components address the challenges of integrating Insightly CRM with diverse systems, offering a robust and efficient solution for managing complex data workflows.

Pantheon's Advanced Global CDN is a managed service designed to enhance digital delivery at scale, offering advanced edge customizations and enterprise-grade security features. It empowers organizations to manage multiple sites efficiently, implement iterative updates, and maintain control over branding and intellectual property. Key Features and Functionality: - Edge Customizations: AGCDN provides powerful edge capabilities, including domain masking, geolocation-based actions, and device detection, allowing for personalized and localized content delivery. - Enhanced Security: The service includes a robust Web Application Firewall that inspects web requests and applies security rules to ensure site integrity. It also offers DDoS protection at OSI Layers 3 and 4, IP allowlisting and blocklisting, and advanced bot detection and mitigation. - Performance Optimization: AGCDN leverages Fastly's global infrastructure to deliver exceptional performance, with features like full-page caching and image optimization at the edge, ensuring fast and reliable content delivery worldwide. Primary Value and Solutions: AGCDN addresses the needs of organizations requiring advanced site management, enhanced security, and custom WAF configurations. It enables teams to manage multiple sites without complex subdomains, supports iterative testing and agile marketing, and provides granular control over brand messaging and intellectual property. By integrating these capabilities, AGCDN helps organizations deliver secure, high-performance digital experiences at scale.

VoiceLender is an advanced AI voice assistant platform designed to integrate seamlessly with your business operations, providing intelligent, conversational agents that understand your data, customers, and workflows. Unlike generic voice assistants, VoiceLender offers tailored solutions that deliver precise, data-driven responses, enhancing customer interactions and internal processes. Key Features and Functionality: - Real-Time Voice Processing: Achieves sub-500ms response times, ensuring natural and fluid conversations without delays. - Comprehensive Knowledge Base Integration: Connects to your documents, databases, APIs, and more, grounding the assistant in your specific business data. - Config-Driven Customization: Allows definition of personas, tools, and behaviors through simple configuration files, minimizing the need for deep coding expertise. - Multi-Tenant Architecture: Enables the creation of multiple assistant variants from a single codebase, facilitating deployment across different brands or departments. - Tool Activation via Voice Commands: Empowers users to perform actions such as searching CRM systems, creating tickets, and sending messages through voice commands. - Mobile Native Applications: Provides iOS and Android apps with native performance, including offline functionality with smart caching. Primary Value and Solutions Provided: VoiceLender addresses the limitations of generic AI assistants by offering customized solutions that integrate deeply with your existing systems. This integration results in: - Enhanced Customer Satisfaction: Delivers accurate, context-aware responses, reducing customer frustration and improving engagement. - Operational Efficiency: Streamlines workflows by enabling hands-free access to critical information and tools, allowing employees to perform tasks more effectively. - Rapid Deployment: Utilizes a configuration-driven framework that allows for deployment in days, not months, accelerating time-to-value. - Industry Versatility: Adapts to various business contexts, including sales, field service, customer support, and internal knowledge management, providing tailored solutions across sectors. By grounding AI voice assistants in your unique business knowledge, VoiceLender transforms customer interactions and internal operations, delivering intelligent, responsive, and efficient solutions that drive business success.

LightPath Intranet is an enterprise layer for SharePoint Online that replaces default site navigation with branded mega menus, breadcrumbs, announcements, and a no-code admin panel. It is delivered as SharePoint Framework (SPFx) web parts and application customizers that install directly into your Microsoft 365 tenant. There is no separate hosting, no migration, and no content stored outside SharePoint. Organizations use LightPath Intranet when their intranet has good content but employees cannot find it. Navigation is structured and audience-aware, so menus surface the right content by role, department, or group membership. Branding is fully configurable so every site matches corporate identity without custom development for each change. Beyond navigation, LightPath Intranet adds a suite of employee experience web parts: Foundation Search for advanced search and data visualization with templates, filters, and caching. Agentic FAQ Chat, an AI assistant that answers from your FAQ knowledge base using Azure OpenAI and SharePoint search. An AI-enabled people directory that finds colleagues by natural language rather than name and title alone. Greeting, a personalized dashboard built on Microsoft Graph showing meetings, documents, and tasks. Quick links and personal bookmarks that follow users across the intranet. Polls with one-vote-per-user enforcement. Peer recognition feeds. Deployment typically takes days rather than months. Install the solution package, configure navigation, branding, and audience rules in the admin panel, and publish. Non-technical administrators handle ongoing changes without developer time or change tickets. LightPath Intranet is available for commercial Microsoft 365 and for GCC High, with the licensing service and AI components deployed in Azure Government for GCC High tenants. Nothing is stored on vendor infrastructure except the tenant identifier used for license validation. LightPath Intranet is built and supported by Privion, a San Diego based Microsoft AI Cloud Partner. Implementation, training, and ongoing support are available directly from Privion or through certified partners.

AgentOp is an innovative platform that enables users to build, test, and deploy AI agents directly within their web browsers, eliminating the need for installations or server dependencies. By leveraging open-source language models such as Llama, Qwen, Gemma, Phi, DeepSeek, and Hermes, AgentOp allows for local execution of large language models (LLMs) using WebGPU technology. This ensures that all data processing occurs on the user's device, maintaining privacy and security. Key Features and Functionality: - Local LLM Inference: Run open-source models directly in the browser, utilizing WebGPU for accelerated performance. Models are downloaded once and cached for offline use, ensuring that prompts and data remain on the user's device. - In-Browser Python Runtime: Define and execute Python tools within the browser using Pyodide, a WebAssembly port of CPython. This supports the full scientific stack, including libraries like NumPy and Pandas, without any server-side execution. - One-File Export & Sharing: Export the entire AI agent—including the model loader, Python runtime, user interface, and encrypted API keys—as a single standalone HTML file. This file can be shared via email, embedded on websites, or run offline without any additional installations. - AI Template Generator: Describe your desired agent in plain English, and AgentOp generates a complete template, including HTML, Python tools, and prompts, entirely within your browser. Your API keys are never sent to AgentOp's servers, ensuring security. - Cloud Integration on Demand: For tasks requiring more advanced models, seamlessly switch to cloud providers like OpenAI or Anthropic using your own API keys. These keys are encrypted client-side and never stored by AgentOp, allowing a mix of local and cloud-based processing within the same agent. Primary Value and User Solutions: AgentOp addresses the challenges of deploying and sharing AI agents by providing a self-contained, offline-capable solution that requires no backend infrastructure or user account sign-ups. It empowers developers to prototype AI agents rapidly and enables non-technical users to run these agents effortlessly by simply opening a file. This approach ensures data sovereignty, portability, and ease of distribution, making it particularly valuable for users who prioritize privacy and simplicity in deploying AI solutions.

Retaildesk is a point-of-sale system for retail and hospitality, built in Amersfoort, the Netherlands. We started ten years ago as POS Kassasystemen and now run on more than 850 points of sale across the Netherlands, from the corner coffee bar to chains with dozens of locations. Why we built Retaildesk Business owners used to have two choices: a simple system that outgrows itself fast, or a bulky enterprise package that's too expensive and too complex for a normal shop. We believe the neighborhood store deserves the same tools as the national chain. So we built one platform that grows with you. Start small, pay small. Open a second or third location, just add it. You never have to switch systems. What you can do with it Start with the till and add the modules you need. Integrated card payments, so the amount goes straight to the payment terminal. Inventory management that also syncs your webshop, whether that's WooCommerce, Shopify, or your own pickup site. Loyalty cards and gift cards. Invoicing straight from the till. Staff scheduling and time tracking. Reports showing live revenue and margins, even from your couch at home. For hospitality: table management, QR ordering from the table, kitchen screens, reservations, and your own pickup/delivery website. For retail: product management, rental, and self-checkout (coming soon). Everything lives in one backoffice, so you don't juggle five separate tools that don't talk to each other. Integrations and hardware We connect with the accounting software and webshops you likely already use, so you never enter data twice. We also supply hardware: counter registers, compact tills, mobile handhelds, customer displays, receipt printers, and payment terminals. Already have equipment? You can often keep using it. Support from Amersfoort Support is in-house, with a Dutch team. Call, email, or message us, whatever works for you. No hidden fees, no lock-in. We do what we promise. Want to know if it fits your business? Book a demo with someone who knows your industry, or try it for free. No credit card, no commitment.