Cleaning Product Manufacturing Facility
Betco Corporation
Projects > Cleaning Product Manufacturing Facility
Betco Corporation
Betco Corporation, a manufacturer of cleaning products, purchased a brownfield site in order to consolidate equipment and processes housed in three separate facilities into one central location. SSOE was selected to provide architectural and engineering services in support of the renovation and expansion efforts necessary to prepare the facility for operation. The expansion involved the renovation of 242,000 SF of manufacturing space and the addition of 54,640 SF to the facility.
SSOE drew from its extensive bench of engineers and architects to form an experienced team to work closely with Betco throughout the project. The team met with the client’s staff on a weekly basis to communicate progress and discuss any issues that may have arisen during the previous week. SSOE also assigned a chemical process engineer to work in the existing Betco facilities and assist in the evaluation and classification of the chemicals used in manufacturing their products.
Working together with Betco’s staff, the SSOE team completed front-end loading (FEL) for the project. During the FEL process, a conceptual layout of the site was developed, along with a 30% cost estimate and milestone schedule. As is the case with many small businesses, Betco did not have the internal staff to create P&IDs for the new operations, which led to SSOE creating a complete set of P&IDs for the new facility. In order to maintain operations in the existing facilities, a blend of new and existing equipment was included in the final layouts. Several processes were also analyzed and updated to significantly increase efficiency.
The code evaluation for this facility proved to be very complex. SSOE provided support in preliminary meetings with the county plans examiner and throughout the building permitting process. Fire walls were incorporated in the design to provide separation, with steel fireproofing for added protection and explosion relief. To effectively accommodate the large amounts of hazardous materials on-site, two additions were designed to isolate them from each other and the rest of the facility. This design was based on SSOE’s site evaluation and included minimizing piping lengths, considering truck deliveries, and minimizing the impact to existing utilities.
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SSOE is actively piloting AI Chat large language models (LLMs) or copilots that use Natural Language Processing (NLP) to streamline both design and development tasks, transforming how our teams interact with software and each other.
By integrating chat LLM engines into platforms like Revit, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as modeling elements, cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations and quality prompts can be shared across project teams, accelerating workflows and reducing manual effort.
Similarly, our internal Software Development Community is leveraging GitHub Copilot to expedite coding tasks. Developers can generate and refine code using NLP prompts, tapping into GitHub’s extensive Repo to move faster from concept to implementation.
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Today, 100% of SSOE employees have taken the voluntary training and have access to Copilot Edge, achieving early our October 1, 2025 goal.
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