Contact us for a demo or risk free proof-of-concept, email: industrialAISW@solidigm.com.
• Manual inspection is slow, inconsistent, and can't keep pace with production volumes. • Traditional machine vision systems break whenever conditions change including a new product, a lighting shift, a line reconfiguration. • Custom AI projects have historically taken months of specialist development that most teams can't afford to wait for.
Luceta is built around four integrated components that handle the complete AI lifecycle: 1. Data Agent: Automatically sorts, labels, and diversifies your image data. 2. Model Agent: Creates inspection models from a few plain-language questions. No Machine Learning expertise required. 3. Pipeline Manager: One-click deployment to your production line. No custom code, no IT project, no pipeline changes. 4. Adaptive Agent: Monitors and retrains models from live production feedback. Models improve as your line runs.
• Manufacturing: Quality & defect detection, process anomaly detection, PPE compliance • Automotive: Assembly verification, line status monitoring, safety compliance • Logistics & Warehouse: Label & packaging verification, shipment count accuracy, safety monitoring • Food & Beverage: Contamination detection, quality inspection, line condition monitoring • Retail: Inventory & shelf monitoring, loss prevention, behavior detection, Don't see your industry? Luceta adapts to your unique workflows.
• Risk-free proof-of-concept: Validate results in your own facility before any commitment • Annual license: Scales with camera endpoints, deployment complexity, and support tier • Support included for setup and first testing • Data Science services available Pricing available upon request. Email Us at: industrialAISW@solidigm.com
Solidigm is actively investing in frontier research, funding work at the Princeton Visual AI Lab, led by Professor Olga Russakovsky, co-creator of ImageNet — the landmark dataset widely credited with launching the modern era of computer vision. Click buttons below for published papers.