For automotive manufacturing and plant operations
Keep the line running when a stopped plant costs by the minute.
MES, SCADA and PLC historians, robotics controllers, quality systems, and the cloud backends that schedule and track every build each carry their own tools and their own on-call. NeuBird is the one center they all connect to. When a station goes down or throughput drops, it has already investigated across the whole production stack, tested the cause against operations memory of your plants, with zero telemetry storage, and staged a fix that waits for human approval.
The plant-floor reality
A stopped line does not wait for a war room.
Downtime measured in units, not tickets
A stalled conveyor, a robotics fault, or a backed-up MES queue is not a red square on a dashboard. It is every unit that does not come off the line while the station sits idle.
Systems that do not speak the same language
MES, SCADA historians, PLC and robotics controllers, quality systems, and the cloud that schedules the build each have separate tooling and separate rotations. Correlating a stoppage across them is manual.
Change control that has to hold up
Nothing touches a system running the line without a record of exactly what changed and why. A bot with a blank check on the plant floor is a non-starter.
Point-tool agents that forget
Each vendor ships an assistant that sees only its own slice of the plant and starts every stoppage blank. Separate agents, separate memories, separate sets of credentials.
How it fits your stack
Investigation across the production stack. Approval in your channel.
The center investigates across every layer
When a station faults or throughput drops, NeuBird pulls what operations memory knows about the affected line and queries telemetry in place across MES, SCADA and historian data, robotics controllers, and the cloud scheduling underneath, with zero telemetry storage, testing hypotheses in one investigation.
You get the finding, not the raw alarm
The root cause arrives in Slack, PagerDuty, or ServiceNow with the evidence that proved it, the blast radius across affected stations or plants, and a proposed remediation. You decide.
Suggest, Recommend, Act
Autonomy is a dial, not a light switch. Each environment runs at Suggest, Recommend, or Act: critical production stays at Suggest or Recommend, where nothing executes without human approval, and pre-authorized low-risk work in dev and staging can run at Act under a policy a human set. Every step lands in the audit trail, and the outcome is written back to memory.
Built for the plant floor
What the center gives your operation.
Throughput drops traced to a cause
When line rate slips, the center correlates the slowdown against the stations, controllers, and services behind it, and proposes the fix before the shortfall compounds across the shift.
Robotics and station faults under pressure
When a cell trips or a station backs up, NeuBird finds where the fault starts across controllers, MES queues, and the datastores behind them, with the evidence attached.
Plant floor and cloud in one view
Manufacturing systems and the cloud backends that schedule and track the build sit in the same investigation, so a plant-floor symptom and its cloud cause are connected, not chased across two rotations.
Change control that holds up
Every action the center proposes or takes on a line-facing system is recorded with its evidence, so the record answers to safety and audit review.
Pattern recall across plants
A failure shape seen at one plant is recognized at the next. The center names it from memory before the same stoppage repeats on another line. Memory holds conclusions, causal chains, and approvals, never raw logs, metrics, or traces, with zero telemetry storage.
Your tools stay yours
Claude, Cursor, and your own scripts reach the same center over MCP and inherit the same connections, operations memory, and guardrails, with zero telemetry storage. Nothing gets replaced.
FAQ
Common questions
What plant-floor systems can NeuBird connect to?
NeuBird queries your MES, SCADA and PLC historians, robotics controllers, quality systems, and the cloud and observability tools that schedule and track the build in place. It never copies the data, and every agent connected to the center inherits the connection.
How does NeuBird handle change control for line-facing systems?
Autonomy is a dial, not a light switch. Anything that touches a system running the line stays at Suggest or Recommend, where nothing executes without human approval, and every step is recorded with the evidence behind it. Only pre-authorized low-risk work in dev and staging can run at Act, under a policy a human set.
Can it correlate a plant-floor stoppage with a cloud backend?
Yes. Manufacturing systems and the cloud services that schedule and track production sit in one investigation, so a symptom on the plant floor and its cause in the cloud are connected rather than chased across two separate rotations.
How is this different from the assistant inside our observability tool?
Those agents see their own vendor’s data and start every stoppage blank. NeuBird is the center underneath all of them: one memory across tools, one governance policy, one audit trail, reading across your whole production stack and remembering what it learned, with zero telemetry storage.
Do we have to replace our existing tooling?
No. The center connects to your existing plant-floor, cloud, observability, and incident stack, and findings and approvals arrive in the tools your teams already use, such as Slack, PagerDuty, and ServiceNow.
Why not build this ourselves?
You can wire a model to your alarms in a weekend. Keeping it accurate as the plant estate drifts, governing which models it uses on which data, and deciding what it may change on a line-facing system is the hard part. NeuBird carries that center so your team does not inherit a second on-call rotation for the bot.
For automotive manufacturing and plant operations
See an investigation across your production stack.
Watch NeuBird resolve a line stoppage in an environment like yours, evidence attached.