Rivetira
Book a line assessment

Standardise assembly across every site and every program

When one factory proves the loop, the question becomes governance: how do you promote a model across sites, hold an SLA against a production commitment, and keep an export-controlled program isolated while still learning from the fleet?

rivetira · fleet governance 4 sites · 184 stations

Sites live

4

▲ +33% increase

Stations

184

▲ +21% increase

Fleet RFT

97.6%

▲ +6.9% increase

SLA breaches

0

■ 0.0% no change

85.0%87.5%90.0%92.5%95.0%97.5%100.0%Right-first-timeJanFebMarAprMayJunJulAugEverettCharlestonWichitaQueretaro
Right-first-time by site, current yearThe value axis is truncated to resolve differences between sites; full range in the data table.
Right-first-time by site, current year
MonthEverettCharlestonWichitaQueretaro
Jan94.1%91.6%93.2%86.4%
Feb95.2%93.2%94.6%88.9%
Mar96.1%94.8%95.8%90.8%
Apr96.8%95.9%96.6%92.4%
May97.4%96.7%97.2%93.8%
Jun97.9%97.3%97.7%94.9%
Jul98.3%97.8%98.1%95.8%
Aug98.7%98.2%98.4%96.4%

A model registry with real promotion gates

Enterprise deployments do not share one global model. They share a registry, a promotion process, and a set of gates that every site enforces locally.

  1. STEP 01

    Register

    A trained model is registered with its training provenance, evaluation set and the structures and materials it is qualified for.

    Models in registry148

  2. STEP 02

    Evaluate

    The candidate is replayed against held-out as-built data from every site, including sites it was not trained on.

    Replay corpus4.2M holes

  3. STEP 03

    Twin-gate

    Predictions are simulated against each site’s as-built twin. A model that disagrees with a site’s physical reality does not promote there.

    Gate pass rate71%

  4. STEP 04

    Promote

    Site engineering approves promotion per station and per agent. Rollback to any prior version is a single, audited action.

    Rollback time< 60 s

An SLA that matches a production commitment

A 99.9% uptime target on the control plane, and — more importantly — a defined degradation path. Losing connectivity drops agents to advisory, never to an unsafe or blocking state.

  • 99.9% uptime target with monthly service credits
  • Graceful degradation: control plane loss → advisory mode, line keeps running
  • Fail-safe stop under 40 ms wired into every actuator, independent of the network
  • Idempotent agent steps: a retried instruction never double-drills or double-fastens
  • Named engineering contact and defined escalation path per site
0%20%40%60%80%100%Control plane uptimeMarAprMayJunJulAugSLA 99.9%
Measured control-plane uptime against the 99.9% commitmentBars are drawn from zero; the SLA line sits near the top because the values are all above 99.9%. The data table carries the exact figures.
Measured control-plane uptime against the 99.9% commitment
MonthMeasured uptime
Mar99.94%
Apr99.97%
May99.91%
Jun99.99%
Jul99.96%
Aug99.98%

Priced on the metric it moves

Enterprise agreements blend platform subscription with outcome-based components on the numbers the plant is actually accountable for.

Outcome-based commercial components
Right-first-time improvementSame stations, 90-day pre-deployment+6.0 pts12%
Shim hours per joinSame joins, 12-month pre-deployment−50%14%
Rework hours per airframeProgram quality records−40%11%
Takt adherenceMES station cycle data+8.0 pts9%
FOD events per monthQuality incident record−60%6%
Escapes to next stationStation acceptance records−50%8%
Total outcome-linked60%

Baselines are agreed in writing before go-live and measured from the same telemetry the agents use. [PLACEHOLDER: contract templates available under NDA.]

Built for programs that cannot leak and cannot fail

Airframe geometry is among the most protected IP in manufacturing, and much of it is export-controlled. Rivetira is architected for that reality from the edge up.

Certified

SOC 2 Type II

Annual audit covering security, availability and confidentiality of the control plane.

Supported

ITAR / EAR aware

US-person access controls, on-prem and air-gapped deployment for controlled programs.

Mapped

AS9100 alignment

Quality records, NCR flow and traceability mapped to aerospace quality requirements.

In progress

ISO 27001

Information security management system certification underway. [PLACEHOLDER: target date]

Data stays where the airframe is

  • Factory edge runtime holds all program geometry, imagery and metrology locally
  • Air-gapped mode: model updates arrive by signed media, telemetry never leaves
  • Per-tenant isolation and per-program cryptographic separation
  • Encryption in transit and at rest; customer-managed keys available

Assurance-grade by default

  • Immutable audit trail for every agent action, sensor reading and human override
  • SSO/SAML, SCIM provisioning and role-based access down to station level
  • Fail-safe stop for drills, fasteners, crawlers and cranes at < 40 ms
  • Human-in-the-loop mandatory for airworthiness-critical dispositions

Who can see and do what, down to the station

Identity
SSO / SAML 2.0, OIDC
Provisioning
SCIM 2.0
MFA
Enforced, org-wide
Session policy
Configurable, 15 min–12 h
Break-glass access
Dual-approval, fully audited
Role granularity
Site → line → station → agent
Data classification
Per program, per structure
US-person controls
Enforced at the record layer
Export logging
Every download recorded
Retention
Program life + 7 years
Deployment
Edge, on-prem, air-gapped
Key management
Customer-managed available
Network
No inbound required
Model delivery (air-gap)
Signed offline media
Telemetry egress
Configurable, can be zero

Where the money actually comes back

Rivetira is priced on the metric it moves. This is the value stack from a representative 14-station wing-box deployment.

$0M$2M$4M$6MShim labour removed$4.9MRework hours avoided$3.6MRate capacity unlocked$3.1MScrap & escapes avoided$2.2MOvertime reduction$1.4MInspection labour$0.9MAnnualised value (USD)
Annualised value by source, 14-station wing-box deploymentAgainst $2.7M annual platform cost at Cell pricing across 14 stations. Illustrative model — your line assessment produces your numbers.
Annualised value by source, 14-station wing-box deployment
Value sourceAnnualised value (USD)
Shim labour removed$4.9M
Rework hours avoided$3.6M
Rate capacity unlocked$3.1M
Scrap & escapes avoided$2.2M
Overtime reduction$1.4M
Inspection labour$0.9M

Annualised value

$16.1M

14 stations

Platform cost

$2.7M

Cell pricing, annual prepay

Payback period

2.4 mo

from first closed-loop station

Net revenue retention

136%

▲ +36% increase expansion by station and module

Shadow first. Autonomy is earned, not switched on.

Every agent starts by watching. It is promoted only when its measured accuracy clears the mechanic-plus-metrology baseline and the twin agrees.

  1. Weeks 1–4

    Shadow

    Agent observes the station, predicts every outcome, actuates nothing. Accuracy measured against what the mechanics actually do.

  2. Weeks 4–10

    Advisory

    Agent recommends feed, shim geometry and sequence. A human accepts or rejects; every rejection becomes training data.

  3. Weeks 10–20

    Supervised

    Agent actuates with a human in the loop and a live fail-safe stop. Airworthiness-critical dispositions still require sign-off.

  4. Week 20+

    Closed loop

    Agent runs the step. Humans handle exceptions and the twin gates any change to the control policy.

87.5%90.0%92.5%95.0%97.5%100.0%Prediction accuracyWk 2Wk 4Wk 6Wk 8Wk 10Wk 12Wk 16Wk 20Wk 24promotion gateAgent accuracyMechanic + metrology baseline
Agent accuracy against the human baseline during shadow and advisory phasesPromotion to supervised autonomy requires four consecutive weeks above baseline plus twin agreement. The value axis is truncated to resolve the crossover.
Agent accuracy against the human baseline during shadow and advisory phases
WeekAgent accuracyMechanic + metrology baseline
Wk 288.2%94.1%
Wk 491.4%94.0%
Wk 693.6%94.2%
Wk 895.2%94.1%
Wk 1096.4%94.3%
Wk 1297.1%94.2%
Wk 1697.8%94.1%
Wk 2098.3%94.2%
Wk 2498.6%94.3%

Reads and writes back to the machines you already own

Rivetira is not a rip-and-replace. It connects to the drilling machines, crawlers, trackers, shim cells, sealant robots and MES already on your floor over APIs and OT protocols.

Drilling & fastening

  • Flex-track crawlers
  • Gantry drilling machines
  • C-frame riveters
  • Automated fastening cells
  • Hand-fed ADUs

Metrology

  • Laser trackers
  • Photogrammetry rigs
  • Structured-light scanners
  • iGPS / indoor GPS
  • Articulated arm CMMs

Shimming & sealing

  • 5-axis shim machining
  • Liquid shim dispense
  • Sealant robots
  • Cure monitoring
  • Bead inspection

Factory systems

  • Assembly MES
  • PLM / as-designed models
  • ERP work orders
  • Quality / NCR systems
  • Historians & OPC UA

OPC UA, MTConnect, MQTT, ROS 2, REST and file-drop connectors. Read-only shadow mode first; write-back enabled only after twin validation.

Every station, every structure, one record

Sort any column. The same table backs the audit export an airworthiness engineer hands to a regulator.

Assembly station performance, trailing 30 days
FA-01 · Fuselage section joinSection 41/4399.2%0.041 mm18 h96.4%
FA-02 · Wing-body joinWing box98.6%0.062 mm31 h94.1%
FA-03 · Empennage attachVertical/horizontal99.5%0.028 mm9 h98.2%
FA-04 · Systems installationHydraulics/electrical97.8%0.055 mm12 h95.8%
FA-05 · Final assemblyInteriors/doors98.9%0.037 mm6 h96.9%
WG-11 · Wing skin-to-sparLower skin99.1%0.033 mm22 h97.4%
WG-12 · Wing skin-to-sparUpper skin98.4%0.048 mm26 h95.2%
FS-21 · Fuselage panelBarrel section99.3%0.030 mm11 h97.9%

What changes on the floor

Plant directors, liaison engineers and airworthiness leads on what autonomy did to their numbers.

“We stopped arguing about whether the gap was 0.4 or 0.6 millimetres. The twin predicted it, the shim came off the machine right, and the join closed in one pass.”

Dana WhitlockDirector of Wing Operations, Meridian Aerostructures

−64% shim hours per join

“The rate ramp was going to cost us four more positions. Instead the line rebalanced itself every shift and we found the capacity inside the stations we already had.”

Marcus AdeyemiPlant Director, Final Assembly, Calder Aviation Group

+38% delivered rate

“Every hole is now inspected, not one in four. My airworthiness record writes itself, and I can hand an auditor a complete trace in ninety seconds.”

Priya RaghunathanChief Quality & Airworthiness Engineer, Northvane Defense

100% inspection coverage

Questions engineers actually ask

Anything else goes to the people who build it. Ask an assembly engineer or read the full FAQ.

Yes. Mixed-mode fleets are common. An air-gapped site receives signed model artefacts on offline media and emits no telemetry; it still benefits from fleet learning, just on a delivery cadence rather than continuously.

You do. Program geometry, imagery, metrology and the as-built record are yours, held on your edge infrastructure. Rivetira trains on de-identified derived features only where you explicitly permit it, and never across customers on controlled programs.

Typically one lead site to closed loop in months one to six, a second site in months five to ten with the lead site’s models as a starting point, then parallel rollout. Each additional site reaches closed loop roughly 40% faster than the one before it.

New programs are onboarded as a separate model family with their own tolerance study and twin seed. Enterprise agreements include a defined number of program onboardings per year.

Standardise the loop across your fleet

A line assessment maps one station, quantifies the rework, shim and rate opportunity, and returns a modelled ROI in three weeks. No production disruption.