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.
The Challenge
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
Our Solution
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
On-device inference
Vision models run locally with 5–7× faster performance compared to cloud.
Fleet-wide deployment
Manage and update models across thousands of endpoints with enterprise-grade controls.
Offline-first operation
Keep inspections and monitoring running even in disconnected or secure environments.
Continuous learning
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
Manufacturing
Detect product defects in real time before they leave the line.
Construction
Verify PPE compliance across sites without sending footage to the cloud.
Transportation & logistics
Monitor cargo integrity and security at ports, warehouses, and in transit.
The webAI Difference
Proven on-device performance
5–7× faster inference speeds deliver actionable insights in real time.
Enterprise-grade management
Centralized deployment, auditability, and controls across fleets of devices.
Cloud independence
Fully offline operation eliminates latency, privacy concerns, and recurring cloud costs.