Define
Capture owner criteria, redundancy, performance targets, system rules, and equipment requirements.
ArchiLabs structures the equipment, performance targets, sequences, and project context created during design. Bluerithm tracks installation, startup, functional testing, issues, and closeout in the field. A connected workflow can keep that same project data moving in both directions instead of rebuilding it at the handoff.
Layouts, smart equipment, design parameters, sequences, validation, RFIs, structured handoff data.
Equipment tracking, startup, checklists, functional testing, issues, field readings, reports, closeout.
Capture owner criteria, redundancy, performance targets, system rules, and equipment requirements.
Generate layouts, place equipment, structure parameters, coordinate systems, and preserve design context.
Track installation, startup, PFCs, functional tests, integrated systems testing, issues, and readings.
Return installed and verified data to the project record and carry it into operations-ready systems.
ArchiLabs goes deepest before equipment reaches the site. Bluerithm goes deepest once that equipment is being installed, started, tested, and closed out. The collaboration opportunity is the boundary between them.
Model data halls and MEP systems, place smart equipment, extract manufacturer parameters, reason over project context, validate constraints, and generate structured deliverables.
Track equipment through installation, startup, prefunctional checklists, functional performance tests, integrated systems tests, issue resolution, and owner reporting.
The integration can begin with a focused set of equipment and fields, then expand as project teams agree on identifiers, source-of-truth rules, approval steps, and update cadence.
Equipment ArchiLabs placed in the model — such as AHUs, CRAHs, chillers, pumps, UPS modules, PDUs, generators, and VAV boxes — can become the starting equipment register in Bluerithm with matching tags, systems, and areas.
Design parameters can populate the design-value side of equipment records and test forms, while structured design basis and sequence context can support test procedure development and workflow sequencing.
Bluerithm becomes the working record for field-measured values, checklists, functional testing, integrated systems testing, issues, evidence, and resolution history.
Installed manufacturer and model data, serial numbers, nameplate values, field readings, verification status, and issue outcomes can update the design/handoff record instead of remaining isolated in a separate closeout package.
The downstream handoff can reflect not only what was drawn, but what was installed, tested, and verified — ready to feed owner systems such as DCIM, EPMS, BMS, or digital twin workflows.
The highest-value connection is a shared equipment and system context that survives design changes, field verification, issue resolution, and final turnover.
Carry equipment type, tag, system assignment, area served, and related identity fields into the commissioning register without re-keying.
Move airflow, pressure, capacity, voltage, kW, dimensions, and other design values into records that also hold field-verified values.
Preserve redundancy requirements, sequence context, and basis-of-design information that can inform testing and acceptance workflows.
When equipment moves, resizes, or changes during construction, update affected commissioning records instead of allowing the two systems to drift apart.
Return installed equipment details, startup/TAB readings, checklist status, functional test results, dates, and evidence to the project record.
Feed field-discovered clearance, sequence, performance, and access issues back into validation and RFI workflows with a traceable resolution history.
Data center commissioning spans equipment, system, and integrated testing under load. A connected record reduces the number of times teams have to reconstruct the same equipment identity and design target at each phase.
When test status and field readings can flow back to the project model, the handoff can distinguish an intended topology from one that has been verified under the required conditions.
Mission-critical facilities combine large equipment inventories with strict documentation requirements. That makes repeated spreadsheet and PDF re-entry particularly costly and risky.
The proposed architecture does not require either platform to become a closed system of record for everything. Teams can define a project-specific data contract and use conventional synchronization or agent-assisted workflows where that adds value.
Expose structured project, model, equipment, validation, and handoff data through platform APIs and embeddable workflows.
Read and write project data through API-based integrations, while MCP-enabled workflows can support agent-assisted project setup and cross-system actions.
A successful pilot should make it easier for design, commissioning, and owner teams to work from the same equipment identity and a progressively more accurate project record.
Start with one data center or mission-critical project, one equipment family or system, and the data your teams currently re-enter by hand. From there, define the identifiers, fields, ownership rules, and checkpoints that matter most.