End-to-end physics twin
Paste deposition, placement, reflow, and joint formation.
Digital Twin · Circuex agent 04
Twinex
The SMT-line digital twin that hits target yield first. Simulates paste, placement, reflow, and joint formation end-to-end, then hands a qualified recipe to the line before the first board runs.
Simulate & proveGraduated autonomyMES write-back
DIGITAL TWIN · NPI
98.7%Predicted FPY
60%Faster NPI
0Boards burned
AUTOMOTIVEMEDICALAEROSPACEINDUSTRIALAI HARDWAREEMS / CM
Why this stage bleeds
NPI and changeovers are expensive gambles: engineers pick settings from experience, run first articles, inspect, and iterate, burning boards, machine time, and days per program while scrap piles up.
How Twinex closes it
Twinex simulates the physical line end-to-end and auto-optimizes recipes to a target yield, validating every Stencix/Reflux move against the twin and continuously reconciling against real Voidex/Yieldix outcomes.
What Twinex does
Pre-run optimization
Recipes auto-tuned to a target first-pass yield.
Synthetic rare defects
Tombstones, BGA voids, bridges, and head-in-pillow stress-tested.
Process validation gate
Stencix/Reflux moves proven in-twin before production.
Continuous calibration
Reconciled against real Voidex/Yieldix outcomes.
What-if planning
Changeover and substitution simulation for high-mix.
DIGITAL TWIN · NPI
98.7%Predicted FPY
60%Faster NPI
0Boards burned
Twinex never works blind
It shares perception, twin validation, and orchestration with the rest of Circuex, so every action is grounded and every result feeds the next board.
- Simulate & prove: its role in the perceive–simulate–decide–act loop.
- Twin-validated: moves proven in Twinex before production.
- Cited & logged: assurance-grade audit trail on every change.
Graduated, never reckless
You choose how much control Twinex takes, and it earns the next level by proving itself.
01
Shadow
Twinex perceives and predicts with zero write-back. You validate its calls against reality.
02
Recommend
It surfaces grounded recommendations with the evidence behind each one.
03
Approve
Operators approve actions one at a time under policy, building trust and data.
04
Closed-loop
Twinex tunes autonomously within guardrails, escalating only exceptions.
What Twinex moves
99.4%First-pass yieldin the loop
72%Fewer false callsvs. rule-based
40%Less scrap & rework
20msEdge inferenceper tile
The physical-AI stack behind Twinex
Trained on DGX/HGX, served at the edge on Jetson and IGX, validated in Omniverse and Isaac Sim.
JetsonEdge inference
TensorRTLow-latency serving
OmniverseTwin & synthesis
DIGITAL TWIN · EDGE
20–50msPer tile
8–16Cameras
LiveOn line
Once Twinex went closed-loop, the stage stopped being the bottleneck. It just holds yield, and tells us why when it doesn't.
Twinex FAQ
Does Twinex require the other agents?
No. It's a standalone product with its own ROI, but it compounds when paired with the rest of the Circuex loop.
How does it connect to our equipment?
Read-only connectors first, then graduated write-back to the relevant machines and your MES/traceability system.
Is it safe for high-reliability production?
Yes, graduated autonomy, approval policies, and an assurance-grade audit trail are built in for automotive, medical, and aerospace.
See Twinex run on your boards
Book a working session and watch Twinex perceive, predict, and close the loop against your line data.