KBEWorks vs. DriveWorks

3D Cloud is a reliable and secure enterprise 3D platform that is widely recognized and utilized by companies such as Lowe's, Ashley, Macy's, HNI, and La-Z-Boy, offering specialized applications and content management for various categories including furniture, kitchens, bathrooms, outdoor decking, storage solutions, and closets. With the capability to build, deploy, and manage a range of 3D applications—such as Web AR, room visualizers, product configurators, and 3D room planners—this platform ensures compatibility across all devices and channels. Additionally, you can expect to launch your 3D solutions within a remarkably short timeframe of just 8 to 10 weeks, making it an efficient choice for enterprises looking to enhance their digital offerings.

Altium Develop is a collaborative electronics product development platform that helps organizations manage requirements, PCB design, engineering collaboration, and manufacturing readiness from a single workspace. By connecting Requirements Portal, Altium Designer, and Altium 365, Altium Develop improves visibility across the product lifecycle and helps teams reduce delays caused by disconnected tools, manual processes, and siloed data. Business Benefits: •Improve cross-functional collaboration between engineering and operations teams •Maintain traceability from requirements through delivery •Accelerate PCB and hardware development projects • Reduce errors and rework through centralized workflows • Improve supply chain and BOM visibility • Support distributed and global engineering teams Altium Develop is a strong option for organizations comparing solutions such as Autodesk Fusion Electronics, KiCad, Cadence OrCAD, SOLIDWORKS PCB, and Siemens Xpedition, particularly when requirements management, collaboration, and hardware development process maturity are key evaluation criteria. Best For • Electronics manufacturers • Hardware engineering teams • Product development organizations • Enterprise PCB design teams • Requirements-driven hardware programs

The Epicor Advanced Manufacturing Execution System is tailored for plastic molders, manufacturers engaged in repetitive tasks, and those utilizing assembly processes with various machines, aiming to support floor operators in effectively overseeing and enhancing their production operations. This system empowers manufacturers to gain insights into their business through real-time data regarding plant performance and machinery status, enabling the identification of resource allocation inefficiencies and the discovery of additional operational capacity. Additionally, it serves as a tool for tracking machine downtime, scrap production, and material wastage throughout each production cycle. The software facilitates real-time oversight of manufacturing processes, dynamic scheduling, and enhanced operational visibility, allowing users to access detailed production information and track up to 100,000 operational cycles. Maintenance teams benefit from the availability of comprehensive machine condition reports, aiding in the strategizing of preventive maintenance activities, while Advanced MES seamlessly integrates accounting functionalities alongside manufacturing estimation processes. Overall, this system not only refines operational efficiency but also enhances decision-making through its comprehensive analytical capabilities.

AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.

QBench is a cloud-based Laboratory Information Management System (LIMS) designed to help laboratories manage samples, workflows, data, inventory, reporting, quality processes, & client interactions in one platform. Labs use QBench to manage laboratory operations from order placement and sample processing through results and automated reporting. The platform is highly configurable, allowing laboratories to build workflows, define custom data fields, and automate processes around the way their lab already operates. QBench also helps laboratories reduce manual work by connecting instruments, software, and other systems through file parsers and a robust API. These integrations can automate data transfer between systems, reducing repetitive data entry and the risk of transcription errors. Key QBench capabilities include: Sample and workflow management Configurable laboratory workflows and custom data fields Workflow automation Instrument and system integrations File parsing and API connectivity Inventory management Client portal access Automated reporting Analytics and operational insights Integrated Quality Management System (QMS) capabilities Unlike LIMS platforms that require extensive custom development to accommodate laboratory processes, QBench is designed to be configurable and adaptable as workflows change. Laboratories can modify processes, fields, and automations without relying heavily on custom code. QBench is cloud-based, giving laboratory teams secure access to their LIMS while bringing laboratory data, workflows, automation, quality management, and reporting together within a centralized platform. QBench also supports customers with a team that includes former bench scientists who understand laboratory workflows and can provide guidance throughout implementation and ongoing use.

Epicor Connected Process Control (CPC) enables manufacturers to digitize and standardize production processes through a flexible no-code/low-code manufacturing platform. Combining digital work instructions, operator guidance, process control, and real-time data collection, CPC helps teams improve execution, reduce errors, and maintain consistent production across assembly and manufacturing operations. With support for connected equipment and shop floor devices, manufacturers can capture production and quality data directly from operations while gaining greater visibility into performance, defects, rework, and process compliance. Product traceability capabilities provide a detailed history of each product's build and inspection record, supporting quality initiatives and continuous improvement efforts. CPC is well suited for manufacturers managing complex product variations, dynamically presenting operators with the appropriate instructions and process requirements for each build. By connecting people, processes, and production data within a single platform, manufacturers can improve quality, increase operational visibility, and drive more consistent outcomes across the shop floor. Available on-premises or in the cloud, CPC scales from individual production areas to enterprise-wide manufacturing environments.

Total ETO stands out as an exceptional ERP/MRP solution tailored specifically for custom machine builders, enhancing efficiency, accuracy, and overall profitability. Crafted by engineers, our system aligns seamlessly with the distinct workflows of Engineer To Order manufacturers, including Integrators, Panel Shops, and OEMs. Our innovative solution is designed to: - Enhance engineering efficiency by integrating directly with your CAD systems. - Enable designers to ascertain the cost of the BOM prior to making any purchases. - Monitor changes to the BOM throughout the project lifecycle, ensuring that all information is communicated effectively across departments. - Optimize procurement processes by utilizing Dynamic BOMs that save both time and money. - Accurately capture change order details, encompassing labor, material, and pricing adjustments to avoid any omissions. - Boost precision across your organization, particularly in sales estimates. - Facilitate the routing of parts among various tasks, allowing for comprehensive tracking of both internal and external processes. - Ensure that all parts are inspected, with clear records of who conducted the inspection, thereby enabling prompt follow-up on quality issues arising on the shop floor, in engineering, or concerning purchased components, complete with integrated Non-Conformance Reports. By leveraging our system, you can significantly streamline operations and enhance collaboration among teams.

Collect, connect, and control AI-ready data faster than ever before. FormAssembly Atlas redefines enterprise data collection and automation. With your built-in AI assistant, Fai, you can instantly create branded, compliant forms, automate complex workflows, and connect clean, structured data across your entire tech stack.

Edgefinity IoT is an enterprise RFID and real-time tracking platform that helps organizations gain greater visibility into the people, products, assets, and processes moving throughout their operations. By connecting RFID readers, sensors, and other IoT devices, Edgefinity IoT automatically captures critical data and transforms it into real-time operational insight. Organizations can track inventory, assets, tools, equipment, work-in-process, and personnel while using configurable rules, alerts, facility maps, and reporting to automate workflows and respond quickly to important events. From inventory and asset tracking to manufacturing visibility, order verification, safety, and mustering, Edgefinity IoT supports a wide range of RFID applications from a single platform. With a hardware-agnostic architecture and cloud or on-premise deployment options, Edgefinity IoT can grow from a targeted RFID deployment into a scalable, enterprise-wide visibility platform.

Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.