Manufacturing Intelligence™
For industrial OEMs and operators with fleets of cameras, robots, and sensors
Multi-site Federated Intelligence. 10x faster model deployment to 1000s of devices. Defect detection <200ms. 60% labour cost reduction. Manage, deploy, and monitor ML models on fleets of devices. Connect your cameras, sensors, and gateways, stream data to the cloud, train models, and roll out updates over‑the‑air—securely and at scale.
Traditional AI Solutions don't work
Why manufacturers need Klyff
Traditional AI solutions fail. Your business needs measurable ROI
Heterogeneous Devices & Data
- Sensors, PLCs, gateways, vision systems, and edge devices all speak different protocols
- Operations teams struggle with multiple dashboards
- Plant managers don’t have a single, live source of truth
AOI and manual inspection not enough
- Escape defects: 0.5–2% of units leaving the plant with hidden or missed issues
- Rework & scrap: 5–10% of production cost tied up in fixing what should have been right first time
- Manual bottlenecks: Inspectors can’t keep up with line speed
Unplanned Downtime
- Unplanned outages: $10K–$100K per hour in lost production, labor, and overtime
- Over-servicing equipment: Time-based PM that replaces parts too early “just in case”
- Scattershot data: Sensors, SCADA, and PLCs collecting data that no one has time to analyze
Multi-site Isolation
- Each plant runs slightly differently (equipment, operators, suppliers, environment)
- Quality and maintenance models are rebuilt site-by-site—expensive and slow
- Corporate wants standardization and best practices, but can’t centralize sensitive production data
Introducing Klyff
Four Pillars of the Platform
Analyzr - Entire plant in one screen
- Ingest data from edge devices via MQTT, CoAP, HTTP and industrial gateways.
- Give plant managers real‑time views of throughput, OEE, FPY, alarms, and asset health.
- Feed clean telemetry into Quality, PdM, and Federated Learning for better AI.
Inspeqtr - Zero defects
- Improve FPY by 2–4 points (e.g., 94% → 97–98%).
- Catch subtle defects AOI misses on PCB, auto, and pharma lines.
- Run on your existing cameras and edge hardware; keep all images on‑prem.
Prescptr - Infinite Uptime
- Reduce unplanned downtime by 30–50% on monitored assets.
- Increase MTBF by 20–30% and cut emergency repairs.
- Use existing sensors (vibration, temperature, process tags)—no rip‑and‑replace.
Senatr - Fleet level learning
- Share model improvements across plants while keeping raw data on site.
- Roll out new defect detectors or PdM models globally in weeks, not years.
- Stay compliant with GDPR, trade‑secret, and internal data residency policies.
How Klyff Works
Klyff is Certified and Optimized for
Why Klyff Matters
Manufacturing Leader's Choice
We have your back. We will ensure that your production will be 5-10x better than before
Rapid ROI & Efficiency
- Deploy in 4-8 weeks v/s 6-12 months with cloud
- Deploy defect detection, predictive maintenance, and fleet intelligence 10x faster than cloud-first platforms. Go live in weeks, not months.
- 50-70% Performance Improvement with 70-80% Size Reduction
- Our KlyffRT optimization and hardware-specific tuning delivers faster inference, lower latency, and superior accuracy. No cloud round-trips needed.
Open
- Zero Vendor Lock-in, Certified on 10+ platforms
- YOUR models, YOUR hardware, YOUR data.
- Deploy on NVIDIA Jetson, Google Coral, Intel, or any edge device. No proprietary APIs. Full control.
60% Less Cost
- 60% Cost Benefits and Zero Cloud Latency
- From None to minimal round trips to the cloud. Models refreshed with OTA across your entire fleet
Privacy First
- Your data never leaves the devices or your infrastructure. Fully compliant with SOC2 and ISO 27001 requirements
You are in good company
Our Engineers have proudly Served
and we are proud partners with
Selected Customer Success Stories
Adaptive Predictive Maintenance
Solder Joint Inspection
PPE Compliance in Chemical Plant
Client Speak
The Platform and Team that forms the basis of our success
“With the Klyff platform, we can build on a reliable Edge AI infrastructure and a excellent team .
What was important to us was to be able to integrate sensors in an easy and fast manner through our project managers so that our client could easily manage the worker safety in the building”

Fale Connosco
Co-founder and CEO, LMGE


