Compare KBEWorks vs. SwiftyQuote

Scalable, secure, and proven, 3D Cloud is the enterprise 3D platform trusted by Lowe's, Ashley, Macy's, HNI, La-Z-Boy, and more with specialized 3D apps and 3D content management for furniture, kitchen, bath, decking / outdoor, storage, and closets, Build, deploy, and manage all your 3D applications including Web AR, Product Configurators, 3D Room Planners and more -- across all devices and channels. Launch in just 8-10 weeks.

Altium Develop is a collaborative platform for modern electronics engineering teams that connects requirements management, PCB design, systems engineering, and manufacturing workflows. Built on Altium Designer and Altium 365, the platform provides a centralized environment for design collaboration, requirements traceability, BOM management, supply chain visibility, and engineering change management. Altium Develop helps hardware organizations maintain alignment between requirements, design decisions, and manufacturing outcomes while supporting distributed engineering teams through cloud-based collaboration. Core Features: • PCB design collaboration • ECAD-MCAD co-design workflows • Component and supply chain visibility • BOM and engineering change management • Design review and approval workflows • Cloud-native team collaboration • Requirements management and traceability Used by electronics teams building complex PCB-based products, Altium Develop is frequently evaluated alongside Cadence OrCAD, Cadence Allegro, Autodesk Fusion Electronics, KiCad, Siemens Xpedition, and SOLIDWORKS PCB for organizations seeking greater collaboration and lifecycle visibility across hardware development programs.

Epicor Advanced Manufacturing Execution System is designed for plastic molders, manufacturers who use repetitive processes and those who have an assembly process that involves multiple machines. It is designed to assist floor operators in monitoring and optimizing their plant operations. Advanced MES helps manufacturers monitor their business and control it with real-time information on plant and machinery. The system allows users to identify inefficient allocations of resources to find new capacity for the business. It can also be used to record machine downtime, scrap and material waste in each production cycle. The software provides real-time monitoring of processes, scheduling in real time and visibility into operations. Users can view production details and descriptors and monitor up to 100,000 cycles. Maintenance teams can access machine condition reports for planning preventive maintenance. Advanced MES integrates accounting and manufacturing estimating capability.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.

Total ETO is a Totally Better ERP / MRP for Custom Machine Builders, providing better efficiency, accuracy, and profitability. Our system was designed by engineers to match the unique workflow of Engineer To Order manufacturers, including Integrators, Panel Shops & OEMs. Our solution will: -Increase efficiency in engineering by integrating with your CAD. -Allow designers to cost out the BOM before purchases are made. -Track changes to the BOM at any stage of the project and ensure the information is shared across departments. -Save time & money in procurement with your newly Dynamic BOMs. -Capture change order information, including labor, material, and sales price changes so they aren't omitted or forgotten. -Improve accuracy through out your organization, including sales estimates. -Route parts between various tasks, tracking both internal and external processes.    -Help ensure parts are inspected and know who completed the inspection.  You'll be able to record and follow up on quality issues on the shop floor, from engineering, or for purchased parts with embedded Non-Conformance Reports.

Epicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers standardize production and assembly processes, improve quality, and increase visibility across the shop floor. Using digital work instructions with multimedia content, manufacturers can guide operators through critical tasks, enforce process control, and improve consistency across products, workstations, and production lines. CPC connects equipment and devices to collect production and quality data in real time, helping manufacturers identify issues faster, reduce waste, and support continuous improvement. CPC provides product traceability with a complete historical record of each product's build and inspection history. Manufacturers use CPC to support assembly verification, error proofing, quality inspections, operator guidance, and other connected manufacturing initiatives. For manufacturers with complex product variations, CPC can dynamically present the correct work instructions based on the product or configuration being built, helping ensure products are assembled accurately and consistently. Available on-premises or in the cloud, CPC scales from a single work cell to enterprise-wide deployments.

Built for testing laboratories, QBench is a cloud LIMS that brings samples, workflows, lab data, inventory, reporting, quality processes, and client interactions into a single system. From order placement through sample processing, results, and automated reporting, QBench supports every stage of lab operations. Lab teams configure their own workflows, data fields, and automation rules, so the software fits existing processes instead of forcing new ones. When requirements shift, labs can adjust fields, processes, and automations without depending heavily on custom code. Instruments, software, and outside systems connect to QBench through file parsers and a robust API, which moves data automatically and limits repetitive entry and transcription mistakes. For reporting beyond the LIMS, labs can connect QBench to Tableau, Power BI, Domo, or Looker via REST API. What labs get with QBench: Sample and workflow management Configurable workflows and custom data fields Workflow automation Instrument and system integrations File parsing and API connectivity Inventory management A client portal Automated reporting Analytics and operational insights Connections to Tableau, Power BI, Domo, and Looker A built-in Quality Management System (QMS) Because it runs in the cloud, lab teams get secure access to their data, workflows, quality management, and reporting in one centralized platform. Implementation and ongoing guidance come from a team that includes former bench scientists who understand laboratory workflows.

FormAssembly allows organizations to take control over the data collection process. Our web-based platform allows companies to streamline old processes and drive business initiatives in any industry. Our platform seamlessly integrates with Salesforce and other business platforms, increasing efficiency across the organization. Furthermore, our advanced security and compliance standards instill confidence.

Edgefinity IoT is a powerful RFID and IoT platform that gives organizations real-time visibility into inventory, assets, equipment, work-in-process, and personnel. By collecting data from RFID readers, sensors, and connected devices, the platform provides a clear view of what is happening across facilities and operations. Edgefinity IoT helps businesses automate tracking, locate critical assets, monitor movement, verify inventory and shipments, improve production visibility, and support safety applications such as personnel tracking and emergency mustering. Configurable rules and alerts can automatically trigger actions when predefined conditions are met, helping teams respond faster and reduce manual oversight. Built to work with a wide range of RFID hardware and IoT technologies, Edgefinity IoT can be deployed in the cloud or on-premise and scaled across applications, facilities, and enterprise operations.

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.