Changelog

Every release that can touch a line, written down.

Railira has not shipped a release yet, so this page is the build log: what is planned by phase, how a release will reach a line, and the policy for promoting models and autonomy. When the first release ships, its notes replace the top of this page.

0 releases shipped3 planned phasesRelease policy published

Status

Pre-release

QUEUEDMVP · 0 to 6 months

The first release is connectors, the agent loop, the review console and the assurance-grade IRIS and quality audit log, for one wedge workflow on one process.

Planned

The build log by phase

Everything here is planned. Nothing here has shipped.

0 to 6 months · planned

Phase 1

  • Onboard 2 to 4 design-partner plants on the wedge workflow
  • Ship the MVP: connectors, agent loop, review console, assurance-grade IRIS and quality audit log
  • Prove accuracy and rework, line-uptime and first-time-through ROI in shadow then assist mode
  • Security and compliance baseline: SOC 2 Type I and OEM cyber review in progress, IP-safe edge deployment

6 to 12 months · planned

Phase 2

  • Convert design partners to paid; first revenue
  • Graduated autonomy for low-risk weld, coating and torque loops; twin hit-quality-and-takt before the shift
  • Second process within the plant; deeper integrations
  • SOC 2 Type II; SSO and RBAC; first OEM or tier-1 plants; IRIS and regulatory assurance packages

1 to 3 years · planned

Phase 3

  • Own the full carbody fabrication, bogie assembly, coating and livery, marriage, fit-out and systems integration loop end to end
  • Single plant to multi-plant OEM to tier-1 network and battery-rail programs
  • Welding and coating robot, PLM and MES, metrology and torque vendor channel; international expansion
  • Data-network products: carbody quality, geometry, livery, coating, torque and takt benchmarks as premium tiers
Policy

How a release reaches a line

The promotion and rollback rules.

  • Model versions are promoted by process area. A new model version reaches one station as a canary before it reaches the plant, and falls back to the previous validated version automatically.
  • Autonomy policy is versioned like code. Tool allow-lists, limits, control-plan envelopes and approval chains are reviewed and recorded before a release can write to a line.
  • Every release carries its evaluation record. Golden datasets and judged evaluations gate model and prompt changes in CI before promotion.
  • Rollback conditions are declared up front. Each release names the signals that trigger a return to the previous version.
Support

Version support, when versions exist

The support policy the first releases will follow.

Version support
ComponentVersioningSupport window
Plant-edge runtimeSemantic, per nodeCurrent and previous minor
ModelsPer process area, per car typePrevious validated version kept for fallback
Autonomy policyReviewed and versioned like codeHistory retained in the audit log
SDK and CLIDesign previewBreaking changes expected before release
Run timeline · scenario

The reference scenario, per release

Each release will be checked against this scenario before it reaches a line.

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.

Tool calls · scenario

What the tool log will show per release

Every tool invocation, argument and result is written to an append-only, human-readable log, and every reasoning step is expandable. Nothing about a run is hidden from the plant.

tool-call stream · run_9b4e27
  1. 05:58:02mes.read_workpackages({ car: "07", consist: "M4-118", shift: "A" })
  2. 05:58:03ok 142 work packages · control plan locked · EN 15085 classes mapped
  3. 05:58:04cuopt.sequence({ shift: "A", constraints: ["cure_window", "test_slot", "bogie_ready"] })
  4. 05:58:45ok plan released · car 07 marriage after car 06 · test slot 13:40 held
  5. 05:58:46twin.simulate({ joints: "roof-sidewall", candidates: 18 })
  6. 05:59:44ok best sequence #6 · aperture dev 0.6 mm · heat input −2%
  7. 05:59:45policy.evaluate({ sequence: 6, autonomy: "L2+" })
  8. 05:59:45ok 6 recommendations permitted · heat_input requires human approval
  9. 05:59:46weld.set_sequence({ line: "B", seq: 6, clamping: "plan-6" })
  10. 06:02:58ok 4 seams inside tolerance · tracker dev 0.5 mm
  11. 06:02:59approval.request({ action: "heat_input", delta: "-2%", joints: "roof" })
  12. 06:12:44ok approved by shift weld engineer · twin evidence attached · logged
  13. 06:12:45torque.read_trace({ bogie: "B-14", joints: "all" })
  14. 07:40:12trace out of profile · traction-motor mount M3, M4 · bogie B-14
  15. 07:40:13rework.route({ bogie: "B-14", joints: ["M3", "M4"], before: "brake_test" })
  16. 07:40:13ok routed · brake test slot held
  17. 08:05:00cure.window({ booth: 2, recipe: "livery-M4" })
  18. 08:31:20masking misalignment · door band · booth 2 · before coat 2
  19. 08:31:21ok masking corrected · cure window held · constraint sent to sequence
  20. 11:10:02scan.compare({ car: "07", bogie: "B-14" })
  21. 11:12:07ok interface inside tolerance · fit-out ready · marriage guided
  22. 11:12:08sensors.fuse({ car: "07", streams: ["vision", "metrology", "torque", "wiring"] })
  23. 13:58:40genealogy.write({ car: "07", packets: "full" })
  24. 14:00:10ok scenario complete · 10 steps · car 07 released

Reasoning trace

Plan, thought, action, observation, exactly as the orchestrator would record it.

GoalBuild car 07 through shell welding, bogie assembly, livery, fi…

Build car 07 through shell welding, bogie assembly, livery, fit-out and marriage on the shift plan, inside the control plan, with every safety-critical joint to spec and the cure window protected.

PlanSequence the shift first, so the cure window and the brake-tes…

Sequence the shift first, so the cure window and the brake-test slot are protected. Simulate the roof-to-sidewall weld sequence on the twin before the first seam. Read every torque trace at the station. Fuse inspection continuously. Hold any heat-input change for a human.

ThoughtThe standing weld procedure runs the roof joints hot enough to…

The standing weld procedure runs the roof joints hot enough to guarantee penetration on a cold fixture. With the clamping plan from the twin the same penetration holds at 2% less heat input and the door aperture stays inside tolerance, because the distortion is sequenced out rather than reworked out.

Actiontwin.simulate(candidates=18) returns sequence #6: roof joints …

twin.simulate(candidates=18) returns sequence #6: roof joints re-ordered, clamping plan 6, heat input down 2% on the roof joints.

ObservationSequence #6 predicts door-aperture deviation 0.6 mm against a …

Sequence #6 predicts door-aperture deviation 0.6 mm against a 1.5 mm tolerance. Three candidates scored lower on heat input but pushed predicted sidewall distortion past the limit and were discarded.

ActionRecommend sequence #6 to the shell line; six recommendations p…

Recommend sequence #6 to the shell line; six recommendations permitted; the heat-input change routed to the shift weld engineer with the twin evidence.

ObservationTwo traction-motor mounting traces on bogie B-14 fell outside …

Two traction-motor mounting traces on bogie B-14 fell outside the expected profile at 07:40:12. Routed to rework before brake test; the slot held. One masking misalignment on the door band flagged in booth 2 before the second coat.

OutcomeScenario complete. Shell inside tolerance, bogie joints to spe…

Scenario complete. Shell inside tolerance, bogie joints to spec after rework, livery inside the cure window, marriage interface inside tolerance. Car 07 released with full genealogy.

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
Accelerated computing

Physical AI, at the station

A seam is welded in seconds and a booth cannot wait for the cloud. Perception has to be local, deterministic and fast, so Railira runs GPU inference at the plant edge and keeps training, simulation and optimisation in the cloud or on-prem.

Jetson Orin · DeepStream · Holoscan · TensorRT

Edge perception

8 to 32 cameras per process area plus metrology, torque, thermal, robot and booth-instrument streams fused at the plant edge. Sub-50 ms weld and seam alerts and sub-150 ms coating and metrology prompts are the design targets. Jetson Thor is planned for higher sensor density.

Triton · NIM

Model serving

Weld-defect, geometry-risk, coating-risk, point-cloud and takt-risk models served at the plant edge with per-model versioning and rollback, routed by latency, tenant, sensitivity and cost.

DGX or HGX · NeMo

Training

Weld and coating defect vision, metrology classification, control-plan reasoning and FEA-surrogate models fine-tuned on plant data and engineer corrections. 100 to 500 GPU-hours per plant during onboarding is the design target; dedicated capacity is planned.

Omniverse · OVX

Train-and-plant twin

As-built carbody, coating, marriage and line-flow twin. Weld distortion, geometry build-up, robot reach, coating coverage and layout simulated before the shift. GPU FEA and point-cloud metrology are the workloads; OVX scale is planned.

Cosmos · Omniverse Replicator

Synthetic data

Rare weld defects, coating contamination, geometry deviations, occluded seams and torque-escape cases generated and validated against real inspection distributions before promotion. Planned.

cuOpt

Optimisation

Line sequencing, JIS feeding, AMR and AGV routing, buffer management and commissioning-slot scheduling against live readiness.

Isaac · Isaac ROS

Robot cells

Robotic weld, coating and assembly cells and AMR or AGV flow; path variants validated in simulation before release to the floor.

RAPIDS

GPU ETL

Telemetry features from weld parameters, metrology, coating readings, torque, non-conformance and takt history for retraining, drift detection and network analytics.

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

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