Case Study
Revolutionized critical asset monitoring
Revolutionized asset monitoring in cold chain logistics and smart agriculture using Klyff's Edge AI-powered IoT platform for efficiency, sustainability, and real-time insights.
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Edge MLOps as a Service
Teams wanting hands-off 24x7 operations
Fully Managed
Edge ML Infrastructure
Hands Off
Model Lifecycle
Ongoing
Continuous Improvement
99%+
Uptime guarantees
What We Do
Hands-off Edge MLOps
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
Our engagement model
A clear path from kickoff to production operation, shaped around the service outcome.
01
Teams lacking ML ops expertise
02
Multi-site deployments
03
Critical production systems
04
Compliance-heavy industries
Selected Customer Success Stories
Real customersuccess stories.
Explore how teams are using Klyff to improve quality, safety, and operational performance in the field.
Case Study
Optimizing Energy Consumption for a Global Retail Leader with Edge AI
Discover how a global retail leader reduced energy costs by 15% using Klyff's Edge AI platform for real-time monitoring, anomaly detection, and proactive energy management.
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See all customer stories.
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