Manufacturing QA
Defect detection and classification directly on production lines.
Swiss applied computer vision studio
From raw imagery to measurable business outcomes.
Pixtell builds production-grade vision systems for agriculture, manufacturing, infrastructure, and environmental operations.
Built for real-world constraints: edge, cloud, or hybrid infrastructure.
Capabilities snapshot
- Detection and segmentation pipelines
- Edge optimization for NVIDIA Jetson
- Tracking, counting, and alerting workflows
- Integration with existing business systems
Typical use cases
Use-case specific systems that move from pilot to dependable operations.
Agritech automation
Weed and crop detection from field and drone imagery.
Infrastructure & environment
Asset counting, monitoring, and operational safety analytics.
What makes Pixtell practical
- Defined accuracy and latency targets from day one.
- Clear milestones and measurable acceptance criteria.
- Rapid deployment path with room for custom evolution.
- Client ownership of deliverables and trained weights.
Deployment options
Edge: Real-time operations in constrained environments.
Cloud: Private, Swiss, or major public cloud infrastructure.
Hybrid: Low-latency local inference + centralized orchestration.
Ready to scope your project?
Share your use case and constraints. We will quickly define feasibility, data requirements, and rollout options.