Teams wanting hands-off 24x7 operations
Fully Managed
Edge ML Infrastructure
Hands Off
Model Lifecycle
Ongoing
Continuous Improvement
99%+
Uptime guarantees
What We Do
Klyff's dedicated support team provides round-the-clock monitoring, troubleshooting, and escalation for production issues.
Klyff handles end-to-end deployment of optimized AI models across your entire fleet - from containerization and hardware-specific compilation (TensorRT for Jetson, TFLite for Coral, OpenVINO for Intel, etc.) to device provisioning and initial validation.
We manage all low-level details, including runtime configuration, dependency management, and failover logic, so your teams can focus on manufacturing operations rather than DevOps complexity.
Deployment is automated, reproducible, and auditable, ensuring consistent behaviour across all devices in your fleet.
Our Engagement
A clear path from kickoff to production operation, shaped around the service outcome.
Selected Customer Success Stories
Explore how teams are using Klyff to improve quality, safety, and operational performance in the field.
Case Study
Learn how Klyff deployed an on-device continual learning loop on ARM Cortex-M7 gateways, achieving a 40% reduction in false positives and automatically adapting to machine aging without cloud retraining.
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Case Study
Discover how Klyff deployed quantized CNNs on Hailo-8 edge accelerators at the glass level, dropping inspection latency from 120ms to 8ms and saving an estimated $12,000/month per line in rework costs.
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Case Study
See how Klyff deployed an ATEX-certified, privacy-by-design safety agent that localizes and scrubs human faces at the source, reducing safety incidents by 34% with zero PII leaving the edge.
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Insights
Connect your first site, deploy your first model, and see measurable ROI in weeks, not months.
