A production delay rarely begins as one visible event. It can emerge through equipment conditions, quality exceptions, maintenance activity, material availability, process changes, and decisions made across multiple teams.
See how constraints, interruptions, queues, and handoffs influence work across complex assembly environments.
Relate inspection outcomes to available equipment, process, material, and production context.
Give production, quality, engineering, and maintenance teams a shared body of evidence for understanding what changed.
When that evidence remains divided across systems, organizations experience the consequences before they fully understand the cause.
B3 creates an operational intelligence layer across the systems already involved in running the operation.
It does not replace the systems that design, plan, execute, inspect, or maintain the program. It makes their operational context work together.
Connect information from production systems, machines, historians, maintenance platforms, quality systems, enterprise applications, databases, APIs, files, and legacy sources.
Orion creates the shared operational foundation required for visibility and Industrial AI.
Explore Orion →Transform connected data into live operational views, trusted KPIs, alerts, trends, and role-specific perspectives.
Give production, quality, maintenance, engineering, and leadership teams a more consistent view of the operation.
Explore Neo →Ask questions about operational performance, investigate anomalies, retrieve supporting context, and surface potential next actions.
B3rry supports operational judgment with connected evidence. It does not replace engineering or decision authority.
Explore B3rry →Depending on the selected use case and available data, B3 may help aerospace organizations:
Create a more consistent operating picture across production functions.
Identify emerging production and reliability constraints earlier.
Accelerate quality and performance investigations.
Reduce manual reconciliation across systems and reports.
Connect plant-level conditions with program-level priorities.
Support faster, better-informed decisions across complex operations.
Aerospace organizations cannot simplify the products they build.
They can create a clearer understanding of the operation responsible for building them.
B3 connects production, quality, maintenance, engineering, and enterprise data into one operational picture. Orion connects the systems, Neo turns that data into live views and consistent KPIs, and B3rry’s AI agents help teams investigate what changed and surface next steps, with the supporting evidence attached.
No. B3 connects to the systems already involved in running the operation, including production systems, machines, historians, maintenance platforms, quality systems, enterprise applications, databases, APIs, files, and legacy sources. It makes their operational context work together; it does not replace them.
Five places: program visibility, connecting plant-level performance to wider production commitments; production flow, showing how constraints, queues, and handoffs affect assembly; quality intelligence, relating inspection outcomes to equipment, process, and material context; asset reliability, showing how equipment issues affect the surrounding operation; and operational investigations, giving production, quality, engineering, and maintenance teams a shared body of evidence.
They are evaluated during discovery, before any solution scope is proposed: which systems to connect, what information can be used, who needs access to the results, and the technical boundaries of the deployment. No certification, accreditation, or regulatory approval is implied.
Start with one production area, assembly flow, quality investigation, asset group, or operational decision. B3 maps the relevant evidence, identifies where context becomes fragmented, and determines whether B3 is the right operational intelligence layer for the environment.
Start with one production area, assembly flow, quality investigation, asset group, or operational decision.
We will map the relevant evidence, identify where context becomes fragmented, and determine whether B3 is the right operational intelligence layer for the environment.
Integration, deployment, governance, information access, and technical requirements are evaluated during discovery.
