Rivetira
Book a line assessment

Seven agents that do the work, not just advise on it

Each agent owns one part of the structural build. They share one perception layer, one as-built twin and one conformance record — so a decision made at the drill is visible at the join, and provable at the audit.

0%25%50%75%100%Drill & Fasten99.4%Hole & Fastener Inspection99.1%Align & Shim98.4%Seal & Join99.4%Line & Takt96.8%Robot & Handling99.7%Quality & Conformance97.9%Headline metric (%)
Headline performance metric by agent, trailing 90 daysEach agent’s headline metric differs — see the individual sections below for what is actually being measured.
Headline performance metric by agent, trailing 90 days
AgentHeadline metric (%)
Drill & Fasten99.4%
Hole & Fastener Inspection99.1%
Align & Shim98.4%
Seal & Join99.4%
Line & Takt96.8%
Robot & Handling99.7%
Quality & Conformance97.9%

Drill & Fasten

Adaptive control of drilling, countersinking and rivet/bolt installation.

Closes the loop on feed and speed, one-up assembly, burrless hole quality, countersink depth and fastener interference/torque — per stack-up, per material, per fastener code.

Holes controlled / shift
18,400
Countersink depth σ
0.011 mm
Adaptive feed decisions/s
240
020406080100Index0246810121416Adaptive feedFixed feedBurr risk index
Adaptive feed response through a CFRP-over-titanium stackFeed is reduced through the interface where burr risk peaks, then restored — the fixed-feed baseline cannot respond.
Adaptive feed response through a CFRP-over-titanium stack
Depth through stack (mm)Adaptive feedFixed feedBurr risk index
01001004
2981006
49410014
69110027
89310022
109610011
12951009
149410012
16961008

Hole & Fastener Inspection

Vision + in-process metrology sensing of hole, countersink, fastener, gap and FOD.

Predicts hole diameter and roundness, countersink flushness, fastener seating, edge distance, interlaminar gaps and foreign object debris before the structure moves to the next station.

Detection recall (FOD)
99.1%
Flushness resolution
±0.008 mm
Inference latency p99
38 ms
0%20%40%60%80%100%CoverageDiameterRoundnessC/sink depthFlushnessSeatingEdge dist.FOD
Inspection coverage by characteristic: in-process versus sampled manualManual coverage figures are the design partner’s own sampling plan before deployment.
Inspection coverage by characteristic: in-process versus sampled manual
CharacteristicRivetira in-processSampled manual inspection
Diameter100%25%
Roundness100%10%
C/sink depth100%25%
Flushness100%40%
Seating100%100%
Edge dist.100%15%
FOD100%60%

Align & Shim

Metrology-assisted alignment and predictive shimming that removes hand-fit loops.

Fuses laser tracker and photogrammetry clouds into a live fit model, predicts the gap field across the join, and generates machined shim geometry — replacing iterative hand-fit with one pass.

Gap prediction MAE
0.031 mm
Shim iterations
1.0 (from 3.4)
Alignment cycle
22 min
0%20%40%60%80%100%Joins still openIteration 1Iteration 2Iteration 3Iteration 4
Share of joins still requiring another fit-up iterationAcross 1,900 modelled joins. The average falls from 3.4 iterations to 1.06.
Share of joins still requiring another fit-up iteration
Fit-up iterationHand-fit baselinePredictive shimming
Iteration 1100%100%
Iteration 284%6%
Iteration 346%0%
Iteration 412%0%

Seal & Join

Sealant application control and fuselage / wing-body join sequencing.

Controls bead geometry, fillet profile and cure window, and sequences the join so that mating, fastening and sealing happen in the order that protects tolerance stack-up.

Bead width CV
4.2%
Sealant waste
−37%
Join sequence steps
1,180
6.0 mm6.1 mm6.2 mm6.3 mm6.4 mmBead widthBead 1Bead 2Bead 3Bead 4Bead 5Bead 6Bead 7Bead 8upper spec 6.4 mmBead width
Sealant bead width consistency across a fuselage longitudinal jointCoefficient of variation 4.2%. Axis shows the working band; the full spec window is in the data table.
Sealant bead width consistency across a fuselage longitudinal joint
Sealant beadBead width
Bead 16.12 mm
Bead 26.08 mm
Bead 36.15 mm
Bead 46.11 mm
Bead 56.09 mm
Bead 66.13 mm
Bead 76.10 mm
Bead 86.12 mm

Line & Takt

Moving- and pulse-line station balancing, takt optimisation and travelled-work control.

Continuously rebalances station content against real cycle times, predicts where a position will breach takt, and proposes the resequencing that keeps the line moving.

Stations balanced
46
Takt breach warning
4.2 h ahead
Travelled work
−44%
0 h20 h40 h60 hCycle time41 hFA-0147 hFA-0238 hFA-0352 hFA-0444 hFA-0539 hFA-06takt 45 h
Station cycle time against takt on a pulse lineFA-04 breaches takt. The agent proposes moving 7 hours of systems content to FA-03, which has 7 hours of slack.
Station cycle time against takt on a pulse line
StationStation cycle time
FA-0141 h
FA-0247 h
FA-0338 h
FA-0452 h
FA-0544 h
FA-0639 h

Robot & Handling

Crawlers, AGVs, positioners and cranes moving and holding large structures.

Drives and supervises the machines that carry the load — flex-track crawlers, mobile platforms, AGVs and cranes — with fail-safe stop and structural-load awareness at every step.

Fail-safe stop
<40 ms
Crawler positioning
±0.05 mm
Handling events/day
2,900
020406080100CountWk 1Wk 4Wk 8Wk 12Wk 16Wk 20Wk 24Unplanned handling stopsHandling events (thousands)
Handling volume against unplanned stops, first 24 weeksVolume more than doubles while unplanned stops fall 79%.
Handling volume against unplanned stops, first 24 weeks
Week since go-liveUnplanned handling stopsHandling events (thousands)
Wk 11442
Wk 41151
Wk 8858
Wk 12664
Wk 16571
Wk 20478
Wk 24387

Quality & Conformance

Right-first-time, non-conformance, rework and full airworthiness traceability.

Every agent action, sensor reading and human override lands in an immutable, assurance-grade record mapped to AS9100 and the program’s airworthiness requirements.

Traced actions/day
1.4M
NCR cycle time
−52%
Audit export
< 90 s
050100150RFT % / NCR rateJanFebMarAprMayJunJulAugSepOctNovDecRight-first-timeNCRs raised (per 100 airframes)
Right-first-time and non-conformance rate over twelve monthsTwo series on one axis because the units happen to share a range; both are labelled directly and tabulated below.
Right-first-time and non-conformance rate over twelve months
MonthRight-first-timeNCRs raised (per 100 airframes)
Jan88.8142.0
Feb89.9131.0
Mar91.2118.0
Apr92.4104.0
May93.594.0
Jun94.483.0
Jul95.274.0
Aug96.066.0
Sep96.659.0
Oct97.153.0
Nov97.648.0
Dec97.944.0

Perceive, plan, control, verify, learn

The same loop runs at every station, from a single drilling cell to a whole moving line. Nothing is actuated that has not first been simulated against the as-built twin.

  1. 01

    Perceive

    Vision, in-process metrology, laser tracker and photogrammetry fuse into a live as-built model of the structure, hole, gap and fastener state.

    38 msFusion latency p99

  2. 02

    Plan

    Align, shim, drill, countersink, fasten, seal and join are sequenced against the predicted gap field and the program tolerance stack-up.

    4.1 sTwin sim per join

  3. 03

    Control

    Feed and speed, interference, torque, bead geometry and crawler position are driven adaptively, with fail-safe stop at every actuator.

    240 HzControl loop

  4. 04

    Verify & learn

    Hole, countersink, fastener, gap and FOD are sensed, conformance is logged immutably, and supervised corrections retrain the models.

    1.4MTraced actions/day

As-built twin gates every step Perceive 38 ms fusion Plan 4.1 s twin sim Control 240 Hz loop Verify & learn 1.4M traces/day

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%

Assembly autonomy, measured on the line

Every figure below is produced by the same telemetry the agents act on — station cycle, hole quality, gap field, fastener state and conformance. Pilot and design-partner aggregate, trailing 12 months.

Holes drilled under agent control

41.6M

▲ +32% increase cumulative, all lines

Right-first-time, structural joins

97.9%

▲ +9.1% increase vs 88.8% baseline

Shim hours removed per join

68%

▼ -68% decrease 96 h → 31 h

Assembly-line uptime

99.94%

▲ +0.3% increase edge runtime, trailing 90 d

Aggregate across design-partner lines. Baselines are the same stations before Rivetira, measured over an equivalent period.

Questions engineers actually ask

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

Yes — that is the normal path. Cell pricing covers one agent on one assembly cell or station. Most factories start with drilling and fastening control or predictive shimming, where the ROI is clearest, then expand.

They share the perception layer and the as-built twin, but each agent has its own policy and its own promotion gate. An agent that reaches closed loop at one station does not automatically actuate at another.

Supervised corrections. Every time a mechanic or liaison engineer overrides an agent, that override — with the full sensed context — becomes labelled training data. This is the compounding assembly-fit-and-quality-data moat.

They fall back to the program tolerance model and run in advisory until enough as-built observations exist to fit a structure-specific model. New program onboarding typically takes six to ten weeks.

Start with one agent, one cell

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