ElementaryML provides an end‑to‑end AI stack for factory visual inspection that eliminates the need for manual image labeling and vision expertise. Its VisionStream™ solution captures live production images, auto‑trains deep‑learning models in seconds, and runs real‑time defect detection at up to 1,000 parts per minute on rugged edge hardware, with a no‑code cloud interface for configuration, analytics, and PLC integration.
Funding
$66.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RAFounders
Product
Problem
Manufacturers struggle to implement AI-driven visual inspection because traditional systems require extensive labeled datasets, manual tuning, and specialized vision expertise, leading to costly pilot projects that never scale to full production lines.
Solution
ElementaryML offers an end‑to‑end factory AI stack that combines rugged edge hardware, a no‑code cloud platform, and autonomous deep‑learning models to automate defect detection without manual labeling. VisionStream™ captures live images on the production line, auto‑trains detection models in seconds, and continuously refines them as operators review edge cases. The AI controller processes images at up to 1,000 parts per minute, enabling real‑time rejection and PLC integration without cloud latency. A unified cloud interface provides no‑code camera configuration, recipe deployment, traceability, and analytics, allowing non‑technical staff to monitor yield, generate reports, and scale inspection across multiple lines and sites.
Target Audience
Primary customers are manufacturers of discrete goods—automotive, consumer products, and food & beverage—who need high‑speed, automated quality inspection across multiple production lines.
Features
- Radian edge camera (5–20 MP, IP67, C‑mount) with optional multi‑camera shroud for 1–4 cameras and integrated lighting
- Vertex AI controller (1–8 cameras) supporting anomaly, classification, OCR, barcode detection, and Ethernet/IP, Modbus, Rockwell AOP connectivity
- No‑code, cloud‑synced camera setup and inspection recipe editor accessible from any device
- VisionStream™ auto‑training that builds deep‑learning models in seconds from live production data, eliminating manual labeling
- Real‑time edge inference with millisecond latency, handling up to 1,000 parts per minute and direct PLC integration
- Full part traceability with serial capture, cloud storage, and automated audit‑ready reporting
- Cross‑line analytics dashboard for yield, throughput, and defect alerts, with integration to BI, MES, and ERP systems