Every robot, every recipe, every model-year change,
all under version control.

Octoplant x Automotive OEM Use Case #1

Representative profile.

A vehicle manufacturer running eleven assembly plants across three regions, each rebuilding a portion of its body shop, paint shop, and final assembly for a model-year change inside a fixed summer shutdown window. Work is executed by a mix of in-house engineers and external integrators, largely at night, against a launch date that does not move.

What breaks today.

Changeover is a wave of thousands of configuration modifications compressed into weeks. Robot paths, weld parameters, torque profiles, conveyor logic, vision setpoints. The documented state and the running state diverge within days, and nobody notices while the line is producing. The failure arrives later: a controller fails in October, the “current” program someone loads is three revisions old, and a two-hour repair becomes a shift-long reconstruction. Or the launch quality curve refuses to close and no one can say what changed between the Tuesday that worked and the Thursday that did not.

What changes with Octoplant.

Supported configuration changes are captured in the version history and can be associated with the responsible user, timestamp, and documented reason. SmartCompare exposes meaningful differences between versions, helping teams distinguish expected engineering work from deviations that need investigation. Deviations from the approved baseline are flagged rather than discovered. Rolling back a bad change is an operation, not an investigation. Integrator work is scoped by access rights and proven by the record, which changes the tone of the conversation when something behaves strangely after a weekend.

What it’s worth.

Not a number we can invent for you – an arithmetic you can run. Take your own line rate and margin per unit, multiply by the difference between the reconstruction time you experienced last launch and a restore measured in minutes, and multiply again by the number of times per launch it happens. That calculation is the business case, and it is yours to build. What we will state plainly is the mechanism: the cost of an undocumented change is almost entirely the cost of finding out what it was.

Octovision x Automotive OEM Use Case #3

Representative profile.

A group information security function accountable to the board for OT risk across eleven plants it does not operate, in three regulatory jurisdictions, with no mandate to put agents or scanners on production networks.

What breaks today.

The group asks each plant what it runs. Eleven spreadsheets arrive, in five formats, at different levels of currency. None of them can be aggregated into a defensible statement, and the one thing everybody agrees on is that active scanning of a body shop is not going to be authorized.

What changes with Octovision.

Octovision builds the site-wide view from the configuration data Octoplant already collects for backup and versioning: vendor, device type, firmware version, lifecycle state. Octovision builds on operational data already collected through Octoplant and brings assets, components, backup jobs, configuration information, lifecycle context, and known vulnerabilities into an enterprise view. Vulnerability information is enriched with risk context to help teams prioritize findings rather than treating every CVE as equally urgent. No agents. No probes. No traffic. The underlying Octovision analysis doesn’t require active scanning of production devices, reducing the need to introduce additional traffic simply to build the enterprise view. Reports filter by site, region or device class, and export via CSV, JSON or open API into the SIEM, CMDB, or ticketing system where security operations actually live.

What it’s worth.

The value isn’t measured in seconds of line downtime alone. It is measured in hours of manual reporting eliminated, gaps exposed earlier, remediation focused on the assets that matter, and management decisions made from current operational data rather than eleven incompatible spreadsheets.

Run the arithmetic with your own organization: how much time do plant and security teams spend assembling asset inventories, reconciling spreadsheets, validating findings, and preparing OT risk reports? Then ask how much of that work exists only because the underlying operational data isn’t already available centrally.

Enterprise visibility turns reporting from a recurring collection exercise into an operational capability.