Multimodal defect vision
Learned SPI/AOI/AXI/coating detection and classification.
AI inspection that sees and predicts solder defects. AOI, X-ray BGA voids, and coating coverage — without the false-call tax that floods engineers and hides real escapes.
Inspection is where factories bleed. Rule-based AOI/AXI floods engineers with 5–20x false calls while genuine escapes reach the field, and static thresholds never transfer across products, packages, or lighting.
Voidex ingests SPI/AOI/AXI and coating imagery, predicts defects with learned models that cut false calls while catching escapes, auto-generates inspection recipes, and root-causes every call back to print, place, and reflow.
Learned SPI/AOI/AXI/coating detection and classification.
X-ray head-in-pillow and cold-joint analysis.
Confidence scoring with human-in-the-loop routing.
New-board recipes generated from CAD and paste data.
Defects fed back to Stencix, Reflux, and Yieldix.
Conformal coating thickness sensing with cited write-back.
It shares perception, twin validation, and orchestration with the rest of Circuex — so every action is grounded and every result feeds the next board.
You choose how much control Voidex takes — and it earns the next level by proving itself.
Voidex perceives and predicts with zero write-back — you validate its calls against reality.
It surfaces grounded recommendations with the evidence behind each one.
Operators approve actions one at a time under policy, building trust and data.
Voidex tunes autonomously within guardrails, escalating only exceptions.
Trained on DGX/HGX, served at the edge on Jetson and IGX, validated in Omniverse and Isaac Sim.
Once Voidex went closed-loop, the stage stopped being the bottleneck. It just holds yield — and tells us why when it doesn't.
Book a working session and watch Voidex perceive, predict, and close the loop against your line data.