Bring intelligence to every camera, everywhere
Run vision models directly on devices and fleets—faster, safer, and offline-ready—to scale inspections, automate compliance, and strengthen security.
Manual inspection is costly and error-prone, while cloud-based vision can't meet enterprise demands.
- Latency and privacy risks limit adoption
- Systems fail in offline or air-gapped environments
- Compliance checks (PPE, quality, security) drive up costs
webAI runs vision models directly on devices and fleets, bringing intelligence to the edge.
- Offline-first inference for real-time reliability
- Local deployments that safeguard privacy and sovereignty
- Continuous learning loop that improves accuracy over time
Core Capabilities
Vision models run locally with 5–7× faster performance compared to cloud.
Manage and update models across thousands of endpoints with enterprise-grade controls.
Keep inspections and monitoring running even in disconnected or secure environments.
Improve accuracy over time by integrating operator input directly into training loops.
Why It Matters: Vision at the edge transforms inspection from a reactive cost center into a proactive safeguard. By automating compliance, reducing reliance on manual checks, and avoiding expensive cloud inference, enterprises cut costs while increasing safety, accuracy, and resilience.
Use Cases
Detect product defects in real time before they leave the line.
Verify PPE compliance across sites without sending footage to the cloud.
Monitor cargo integrity and security at ports, warehouses, and in transit.
The webAI Difference
5–7× faster inference speeds deliver actionable insights in real time.
Centralized deployment, auditability, and controls across fleets of devices.
Fully offline operation eliminates latency, privacy concerns, and recurring cloud costs.