Enterprise

One policy. Every process. Every plant.

Multi-plant OEM and tier-1 networks standardise on Railira for the governance as much as the control: one autonomy policy with per-site override, one audit trail, fleet-managed plant-edge nodes, and carbody, coating, torque and takt models that stay private to each plant and program.

Land $1M to $15M ACVFleet-managed plant edgePer-site private models

run_9b4e27 · agent graph · car 07 · scenario 10 nodes · 1 approval gate
01 · orchestrator ingest.order ✓ SUCCEEDED 02 · line_logistics takt.sequence ✓ SUCCEEDED 03 · fitura twin.simulate ✓ SUCCEEDED 04 · weld_structure weld.sequence ✓ SUCCEEDED 05 · orchestrator approve.human ◆ APPROVAL 06 · bogie_gear bogie.torque ✓ SUCCEEDED 07 · coat_livery coat.cure ✓ SUCCEEDED 08 · marry_couple marry.align ✓ SUCCEEDED 09 · quality_anomaly inspect.fuse ✓ SUCCEEDED 10 · conformance car.release ✓ SUCCEEDED

Illustrative scenario: Car 07 of a 4-car metro consist · shell line B · bogie shop · booth 2 · marriage station, one car, one approval gate

Enterprise features

What the Enterprise tier adds

Items marked planned follow the 6 to 12 month roadmap.

Governance

Network autonomy policy

One policy model for the network with per-site override and approval chains. Tool allow-lists, control-plan envelopes and limits reviewed and versioned like code.

Identity

SSO, SCIM and tool-level RBAC

Named approvers, role-based access down to the tool. Planned for the 6 to 12 month release.

Fleet

Plant-edge fleet management

Model versions promoted by process area with canary rollout and automatic fallback across every plant. On-prem options for OEM cyber-reviewed sites.

Models

Custom carbody, coating, torque and takt models

Per-site process models built on the plant's own car types, control plans and recipes and kept private to that tenant and program.

Benchmarking

Cross-plant benchmarks

First-time-through, rework, PPM, delivery risk and takt compared across plants without moving designs or program data across tenant boundaries. Data-network tiers are planned.

Support

Dedicated engineer, SLAs

A dedicated deployment engineer, quarterly model review per plant and SLA terms set per agreement.

Deployment

Where it runs

The plant edge is always local. The control plane can be cloud, on-prem or absent.

Deployment options
OptionPlant edgeControl planeFor
Cloud control planeJetson nodes at the stationRailira cloud, per-tenant isolationMost plants; cloud training optional
On-prem control planeJetson nodes at the stationIn the plant's data centreOEM cyber-reviewed and regulated plants
Plant-edge onlyJetson nodes at the stationIn the plant, no external linkPrograms with strict IP and security controls
Edge-only degradationReturns to controller last known-goodUnreachableWhat happens on any control-plane loss
Enterprise

Standardise autonomy across the network

One policy model, one audit trail, one benchmark across every process in every plant, with the carbody, coating, torque and takt models kept private to each site and program.

Talk to us Enterprise details

  • SSO and role-based access down to the tool level, planned for the 6 to 12 month release
  • Network-wide autonomy policy with per-site override and approval chains
  • Cross-plant benchmarking on first-time-through, rework, PPM, delivery risk and takt
  • On-prem and plant-edge deployment for regulated and OEM cyber-reviewed plants
  • Edge autonomy that survives control-plane loss by returning to the controller's last known-good state
  • Dedicated deployment engineer and quarterly model review per plant
Run timeline · scenario

One scenario run, step by step

Every Railira run is an ordered, inspectable sequence. This is run_9b4e27: Car 07 of a 4-car metro consist · shell line B · bogie shop · booth 2 · marriage station. Scenario completes in 10 steps with one approval gate. Shell geometry held inside tolerance after a twin-ranked weld sequence, one heat-input change approved by the shift weld engineer, two torque traces routed to rework before brake test, the livery cure window protected in the sequence, marriage interface inside tolerance, car released with full genealogy.

run_9b4e27 car 07 · 4-car metro consist illustrative scenario SUCCEEDED
  1. 01 ingest.order SUCCEEDED 0.8 s

    Plant Orchestrator · Pulled the work packages for car 07 from MES and PLM: aluminium extrusion shell, EN 15085 weld class per joint, control-plan geometry tolerances, bogie torque specifications, livery recipe and cure window, fit-out and marriage sequence. Locked the approved control-plan envelope for the shift.

  2. 02 takt.sequence SUCCEEDED 41 s

    Line-and-Logistics · Sequenced the shift against live readiness: booth 2 cure window, bogie B-14 readiness, brake-test slot at 13:40, AMR fleet state and kit inventory. The plan moves car 07 marriage behind car 06 to keep the cure window and the test slot.

  3. 03 twin.simulate SUCCEEDED 58 s

    Train Twin · Simulated 18 candidate weld sequences for the roof-to-sidewall joints on the as-built twin and ranked them on predicted distortion, door-aperture geometry and heat input. Sequence #6 keeps the aperture inside tolerance with 2% less heat input than the standing sequence.

  4. 04 weld.sequence SUCCEEDED 3 m 12 s

    Weld-and-Structure · Recommended sequence #6 and the matching clamping plan to the shell line. Seam vision and laser-tracker geometry confirmed the roof-to-sidewall joints inside the control-plan tolerance on the first four seams.

  5. 05 approve.human APPROVAL 52 s

    Plant Orchestrator · Sequence #6 lowers heat input on the roof joints 2% below the standing weld procedure. Heat-input changes stay with a named engineer, so the step was held for the shift weld engineer and approved at 06:12:44 with the twin evidence attached.

  6. 06 bogie.torque SUCCEEDED continuous

    Bogie-and-Running-Gear · Press-fit curves and torque traces on bogie B-14 read at the station. Two traction-motor mounting traces fell outside the expected profile and were routed to rework before brake test; the remaining safety-critical joints verified to spec.

  7. 07 coat.cure SUCCEEDED continuous

    Coat-and-Livery · Booth 2 humidity and temperature, film thickness and flash time watched through the livery pass. One masking misalignment on the door band flagged by booth vision before the second coat; the cure window held and handed to the sequence as a hard constraint.

  8. 08 marry.align SUCCEEDED 2 m 05 s

    Marry-and-Couple · Carbody and bogie scans compared against target interface geometry before the lift. Fit-out readiness confirmed by Fitout-and-Interior for doors and glazing. Marriage guided inside tolerance; coupler and gangway checks verified and written to the twin.

  9. 09 inspect.fuse SUCCEEDED continuous

    Quality-and-Anomaly · Weld and coating vision, in-line metrology, torque, wiring continuity and brake-test results fused at the edge across the car. Every finding localised to station, work package and shift, with the two torque reworks and the masking flag already closed.

  10. 10 car.release SUCCEEDED 1 m 30 s

    Conformance · Car 07 released: genealogy written (weld records per joint, geometry scans, torque traces, coating recipe and cure record, fit-out checks, marriage interface, approvals, test results) and dispositioned against the control plan and IRIS / ISO/TS 22163 criteria with cited evidence for the quality engineer's sign-off.

Guardrails

An agent that can change a weld sequence needs a leash

Railira writes to production systems. Every capability is scoped, every write is policy-checked against the approved control plan, and every action is written to an append-only audit log the plant owns.

  • Bounded action space. Each agent acts only through an explicit tool allow-list, inside per-tool rate and magnitude limits and the approved control-plan envelope for the car type.
  • Policy engine before every write. Autonomy level, shift, car type, interlock state and operator presence are evaluated before a recommendation becomes a write to a robot, MES, torque tool or work package.
  • Human-in-the-loop gates. Heat-input and weld-sequence changes, schedule release and car release wait for a named approver. High-risk changes remain human-approved until IRIS, plant and OEM acceptance is earned.
  • Immutable audit log. Append-only and exportable. Every action records source evidence, the control-plan envelope, confidence, estimated quality and takt impact, rollback path, approver and car scope.
  • Hard fallback. Loss of the edge node, the network or a model returns control to the robot, PLC or station's last known-good state. Safety systems and interlocks are never in Railira's path.
  • Tenant and program isolation. Designs, control plans, program data, models and memory never cross a customer boundary. On-prem and plant-edge deployment is available for regulated plants.

Compliance posture

Compliance and certification status
ItemScopeStatus
SOC 2 Type I and OEM cyber reviewCloud control plane QUEUED Planned, first 6 months
SOC 2 Type IICloud control plane QUEUED Planned, 6 to 12 months
SSO and RBACConsole and approvals QUEUED Planned, 6 to 12 months
IRIS and regulatory assurance packagesDisposition and genealogy evidence QUEUED Planned, 6 to 12 months; not a certification claim
Standards-cited reasoningControl plans, EN 15085, IRIS / ISO/TS 22163, TSI, AAR, APTA, torque and brake-test procedures RUNNING In the design, every answer cites its source
Per-tenant and program isolationDesigns, control plans, models, memory RUNNING In the design from day one
On-prem and plant-edge deploymentRegulated plants RUNNING Design option

Read the security overview

Autonomy

Four levels, set per agent and per tool

A rolling-stock plant does not go from manual to unattended in one step. Railira makes the level explicit, auditable and reversible at any time. The first release runs shadow mode, then assist mode, then bounded autonomy on low-risk actions. Weld parameters, schedule release and car release stay with named humans until acceptance is earned.

Autonomy levels and the human role at each
LevelWhat the agent doesWhat the human doesWhere it sits in a pilot
L1 · ShadowReads weld, metrology, torque, coating, wiring, test, robot and MES signals; predicts and recommends; writes nothingRuns the line as today; compares predictions to inspection and engineer outcomesShadow mode; baseline measured from the plant's own records
L2 · AssistProposes weld-sequence, geometry, coating, torque and sequencing moves with evidence, confidence, envelope and rollback pathApproves each move in the review consoleAssist mode; accuracy and ROI proven against the baseline
L3 · BoundedExecutes pre-approved low-risk actions: inspection routing, rework priority, kit feeding, robot path variants and parameter adjustments inside approved boundsApproves heat-input and weld-sequence changes, schedule release and car releaseGraduated autonomy, after audited accuracy and ROI and safety gates
L4 · ScaledSupervised weld-parameter adaptation inside pre-approved control-plan envelopes, across lines and plantsSets the envelope; reviews the shift record and the evaluation resultsPlanned; after IRIS, plant and OEM acceptance is earned
Integrations

It speaks plant, not cloud

Railira reads and writes through the systems already on the floor. No rip and replace, no parallel historian, no new HMI to learn. Vendor names are examples of systems found in rolling-stock plants, not certified integrations; connector availability is confirmed per site.

PLM, MES and line sequencing

Rail PLM, MES and sequencing suites (Siemens Teamcenter, Opcenter and Tecnomatix, Dassault DELMIA, Rockwell, iBASEt, Critical Manufacturing class systems)

Work packages, control plans, sequence reads; genealogy and schedule write-back

Welding and coating robots

Robot controllers and process controllers (FANUC, KUKA, ABB, Yaskawa, Comau, Dürr, Kawasaki class systems)

Parameter and path reads; bounded parameter and sequence recommendations

In-line metrology

Laser trackers, point-cloud scanners and vision systems (Hexagon, Zeiss, FARO, Cognex, ISRA Vision, Perceptron class systems)

Geometry scans and inspection results per car

Torque and error-proofing

Torque tools and controllers (Atlas Copco, Bosch Rexroth, Stanley class systems)

Torque traces per joint, rework routing

Wiring, brake and commissioning

Wiring testers, brake-test rigs, traction-test and ETCS, ERTMS or PTC commissioning systems

Continuity, brake and signaling results per car

Coating booths

Booth instruments, thickness gauges, environmental sensors, recipe systems

Film build, flash, cure, humidity and temperature

Plant simulation

Plant-simulation and twin tools (Siemens Tecnomatix Plant Simulation, Dassault DELMIA, Visual Components)

Model and result exchange with the train-and-plant twin

AMR and AGV fleets

Fleet managers and dispatch APIs

Fleet state, dispatch recommendations

See all integrations

FAQ

Straight answers

The questions plant directors, body and coating engineers and quality leads ask in the first meeting.

Only within an explicit tool allow-list with per-tool rate and magnitude limits, inside the approved control-plan envelope, and only at the autonomy level your plant has set. Design partners start in shadow mode, where Railira writes nothing. Heat-input and weld-sequence changes, schedule release and car release stay with a named approver.

Get started

Standardise the network

Start with one carbody, bogie, coating, fit-out or sequencing process and one measurable baseline. A paid pilot on weld and geometry, torque assurance, livery defects or line sequencing shows the number before you commit further.