InspectAI
Low-data hybrid AI visual inspection
Combines rule-based logic and Hybrid AI to validate defect decisions while preserving evidence, dataset lineage and production operating criteria.
Learn moreSOLUTIONS & PRODUCTS
Product status, integration scope and proof deliverables are explicit. Unverified specifications remain gated.
Low-data hybrid AI visual inspection
Combines rule-based logic and Hybrid AI to validate defect decisions while preserving evidence, dataset lineage and production operating criteria.
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Edge deployment, model operations and continual learning
Manages device, recipe, model and deployment versions so approved releases, rollback and performance review can be operated consistently.
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2D/3D, thermal and spectral sensor-fusion inspection
Combines complementary sensors to distinguish shape, material and thermal characteristics that a single sensing method cannot reliably separate.
Learn moreSynthetic defects, assisted labeling and dataset management
Supports rare-defect development while preserving the source, label, usage rights and training lineage of manufacturing datasets.
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Evidence-linked quality analysis and reporting assistant
Uses inspection, metrology and process history to suggest root-cause candidates and the evidence that a quality engineer should review.
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Multi-vendor fleet orchestration and traffic management
Coordinates heterogeneous mobile robots, traffic, charging and plant missions while preserving safety interfaces and operational ownership.
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Staged modernization of legacy AGVs
Evaluates the existing vehicle and safety architecture before adding localization, mission and fleet capabilities in controlled phases.
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Concept for a standardized 600 kg-class AMR platform
A configurable mobile platform concept with selectable top modules and safety architecture. Final specifications are confirmed only after project validation.
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Brownfield protocol, data and AI gateway
Connects legacy PLCs, sensors and upper-level systems while keeping write authority, timing and safe-state responsibilities explicit.
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Sensor-based anomaly detection and asset health
Detects changes in vibration, current, temperature and pressure signals and supports maintenance decisions with operating-context evidence.
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SIL/HIL, synthetic data and virtual FAT
Validates control logic, robot missions and data interfaces in a virtual environment before they are introduced to the production line.
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Inline 3D surface, shape and dimensional metrology
Measures steps, burrs, beads, warpage and surface geometry at production speed with explicit calibration and measurement-system criteria.
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Fused cross-web metrology for films and electrodes
Synchronizes thickness, width, surface and thermal data on continuous materials to trace process variation and defect position by lot.
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Recipe, calibration, model, SPC and lot traceability
Organizes inspection and metrology results, recipes, calibration, models and lot history in a common quality data structure.
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Validated real-time industrial AI node
Packages compute, I/O, thermal, power and software into an approved configuration matched to a specific factory workload.
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Private AI factory infrastructure
Builds on-premises GPU infrastructure around workload, network, storage, security and operating-runbook requirements rather than hardware count alone.
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Assets, OTA, rollback, SBOM and SLA operations
Manages the asset, version, deployment, patch, recovery and audit history of factory edge devices and software.
Learn moreVALIDATION FIRST
Product status, specifications, certification and performance are confirmed after reviewing samples, equipment and supply conditions.