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Have a difficult problem to solve?

Start a conversation NDD@corvusindustries.com

A Corvus Industries company

Let’s talk about
the hard part.

Tell us what you’re trying to build, fix, or improve. We’ll work through the next step with you.

Start a conversation

Good fit if…

What happens next

  1. Tell us what’s stuck.
  2. A first call to understand the work, with no commitment.

Industrial / Manufacturing

Connect the plant floor to the decisions above it.

When production, maintenance, and planning use different records, even a routine exception takes too long to resolve. We build software around the equipment, people, and systems already running your operation.

Where we can help

Plant leaders, manufacturers, industrial groups, and operations technology teams.

Potential scopes to shape around your systems and requirements.

Production visibility

Bring machine events, shift records, and production orders into one operational view. Make missing data and downtime reasons visible before using them in performance reports.

Possible deliverables: Shift handover dashboards, downtime capture, and production reporting.

Maintenance and field work

Connect asset records, inspections, spare parts, and work orders. Give technicians usable mobile workflows with a defined approach to offline work and synchronization.

Possible deliverables: Asset histories, inspection forms, and maintenance work queues.

Quality and traceability

Link batches, material movements, test results, and nonconformances so teams can trace an issue back to its source.

Possible deliverables: Lot genealogy, quality review workflows, and exception records.

Enterprise integration

Connect enterprise resource planning (ERP), manufacturing execution systems (MES), and approved equipment data sources without creating another isolated database.

Possible deliverables: Interface contracts, validated data pipelines, and reconciliation reports.

Constraints come first.

  • Agree read-only access and network boundaries with the operations technology team before connecting to equipment.
  • Plan rollout around production windows, with rollback and a manual operating path.
  • Validate timestamps, units, asset identifiers, and data completeness before calculating performance.

Agree what progress means.

Establish a baseline during discovery, then agree targets and a review cadence. These are measurement areas, not promised results.

  • Unplanned downtime captured with a reason
  • Time from issue detection to assigned action
  • Completeness of batch and quality records

Engineering behind the workflow

Scope the services to the problem, from a focused integration to a maintained application.

A useful first conversation

Choose one line, one asset group, or one recurring quality exception. Bring a sample shift report, the systems involved, and the person who owns the workflow.

We use that context to outline the first workflow, integration dependencies, acceptance criteria, and who needs to be involved.

Before we begin

Do we need to replace our ERP or MES?

The first step is to map what those systems already do. A focused integration or workflow may be enough; replacement only belongs in the scope when the existing system cannot support the requirement.

Can AI be used on the factory floor?

Potential uses include searching approved maintenance documentation and assisting with inspection review. Start with representative data and human review; any connection to machine control needs a separate safety and engineering assessment.