Digital twin core
Align CAD, metrology, process parameters, and inspection history into a living model of each unit or batch. Defects are not isolated labels—they are events on the twin timeline with spatial grounding, severity, and lineage.
Digital twin · Vision · Agentic AI
Next-level precise digital twins and high-powered vision for defect analysis—then automate service, repair, and valuation.
Rabstract Technologies fuses physics-aware digital twins with custom-trained models and industrial-grade vision pipelines to detect, localize, and characterize defects with production precision. Agents and deep models share the same ground truth—so inspection, diagnostics, and commercial outcomes stay aligned.
- Precise twinGeometry, material, and state tied to real assets for defect context
- Custom trainingDomain-specific models on your SKUs, lines, and failure modes
- Vision stackHigh-resolution detection, segmentation, and metrology at line speed
Built for teams where a missed defect is unacceptable
Discrete manufacturing
EV & battery
Aerospace & defense
Semiconductor & electronics
Field service & warranty
Twin-locked
Defect calls registered to CAD, BOM, and as-built state—not loose images in a folder
Custom CV
Models trained on your defects, lighting, and optics—then hardened for the floor
Line-ready
High-throughput vision with latency budgets for inline, end-of-line, and audit gates
Precision digital twin, purpose-built for defect analysis
We build a next-generation twin layer that mirrors geometry, tolerances, materials, and operational state—so every vision hit, measurement, and agent recommendation references the same authoritative digital asset. That is what makes defect analysis repeatable, comparable, and auditable across sites.
Custom training & adaptation
Train and fine-tune detectors, segmenters, and classifiers on your surfaces, coatings, and failure taxonomy. Continuous learning loops capture edge cases from the line and re-validate before promotion—no one-size-fits-all weights.
High-powered vision systems
Multi-sensor fusion—area, line-scan, 3D, thermal where needed—with optics and compute sized for micron-to-millimeter defects at real throughput. Built for glare, vibration, and plant lighting—not lab-only benchmarks.
From capture to closed-loop quality and operations
Vision and twin data feed the same graph agents use for service and valuation—so a defect on the line is the same defect in the warranty record.
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Capture & register
High-bandwidth imaging and telemetry aligned to the digital twin—calibration, pose, and unit identity carried through every frame.
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Detect & analyze
Custom vision models localize defects; twin context adds tolerance bands, adjacent features, and risk scoring for disposition.
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Act & trace
Quarantine, rework, or ship with agent-driven workflows in MES/ERP/FSM—full trace from pixel to part to payout.
“Our bottleneck wasn’t labeling—it was tying vision to the as-built twin so engineering, quality, and service argued over one truth. Rabstract’s stack is the first time defect detection and downstream decisions share the same model.”
One platform: twin, vision, models, and agents
The same platform that powers inline defect detection also drives service triage, repair planning, and residual valuation—because they all depend on the same asset truth. No duplicate taxonomies, no reconciling spreadsheets after the fact.
Twin + vision fusion
Structured 3D and parametric context informs every inference: ROI masks follow real surfaces, false positives drop, and measurements stay physically plausible.
Model factory for your SKUs
Pipelines for data curation, labeling workflows, training, evaluation, and staged rollout—so custom models stay owned and governed by your team.
Agentic operations
Agents consume twin and vision outputs to open tickets, request holds, order parts, or trigger rework—with policies, approvals, and full audit trails.
Deep tech from the sensor to the spreadsheet
Custom vision and twin fidelity upfront; agentic automation and enterprise integrations everywhere those signals need to drive money and motion.
Defect intelligence
Detection, segmentation, anomaly scoring, and trending—mapped to twin coordinates and process steps for root-cause and containment.
Vision engineering
Camera selection, lighting design, synchronization, and GPU/edge deployment—tuned for your line rates and environmental constraints.
Custom model lifecycle
Dataset governance, retraining triggers, shadow mode, and regression gates before models touch production inference.
Agentic + enterprise fabric
MES, QMS, PLM, ERP, FSM, and CRM—agents and APIs push structured defect and twin events where your org already decides.
Where teams deploy first
Inline & EOL defect detection
Catch scratches, dents, porosity, misalignment, FOD, and coating defects with twin-grounded vision—before bad units ship or downstream cost explodes.
- ROI definitions from CAD and SOPs
- Multi-camera fusion & 3D where required
- Automatic quarantine & disposition hooks
Service, warranty & repair
Field photos and RMA imagery tied back to the same twin and models—faster triage, fewer “cannot reproduce” loops, clearer part and labor calls.
- Defect matching to known failure modes
- Technician guidance from twin + manuals
- Traceability for good-will and recalls
Valuation & risk
Condition and defect history feed residual, total-loss, and underwriting models—with evidence packs that survive scrutiny.
- Damage severity from structured vision
- Comparable and market context
- Audit-ready narratives
Ship precision twins and vision you can stake the line on
Start with a bounded defect class and station, prove detection and twin alignment metrics, then expand models, sensors, and agent workflows across plants and service networks.
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