# About Klyff Inc.

## metadata
- title: The Klyff Team | Manufacturing Intelligence Platform
- route: /company/team
- alternate_routes: [/company/about, /about]
- headquarters: Toronto, Canada
- founded: 2023
- focus: Edge AI, Industrial IoT, Computer Vision, Prescriptive Maintenance

## Company Overview
Klyff is a team of AI, embedded systems, and industrial software engineers. We build edge AI that runs on real production lines, on every shift, at every plant.

## Why We Started Klyff
For nearly two decades, we worked alongside organizations, from early-stage startups to Fortune 500 enterprises, helping them put machine learning and AI to real use. That journey took us through Knoldus, and when it was acquired, we had a rare chance to stop and ask ourselves: where can everything we have learned matter most?

The answer kept pointing to the factory floor. Before Knoldus, we had implemented ERP systems in steel plants and discrete manufacturing. We felt that this was real engineering.

Manufacturing is full of cameras, sensors, PLCs, and machines producing data every second, and most of it goes unused. We had seen plenty of AI projects look great in a demo and then stall before reaching production, held back by latency, data security concerns, and the distance between software teams and the people running the plant.

That is a gap we felt equipped to close. We bring backgrounds in software, electronics, and mechanics, so we understand the models, the hardware they run on, and the machines they work with.

So we started Klyff to build the Manufacturing Intelligence platform we wished existed: AI that runs at the edge, keeps your data on site, and helps you reduce downtime, catch defects earlier, and scale what works across every plant. We are building it alongside manufacturers, and we would love to build it with you.

## Leadership Team
- **Vikas Hazrati (Co-founder and CEO):** Vikas leads company strategy and platform vision at Klyff. For over two decades, he has helped industrial enterprises and Fortune 500s turn machine learning into operational value. Direct Profile: /about/vikas | Email: vikas@klyff.in | Calendar: https://share.klyff.com/vikcal | LinkedIn: https://www.linkedin.com/in/vikashazrati/
- **Pranay Rajput (Co-founder and CTO):** Pranay leads edge AI and systems architecture at Klyff, bringing high-performance intelligence directly to plant machines and processes. Direct Profile: /about/pranay | Email: pranay@klyff.in | LinkedIn: https://www.linkedin.com/in/rajputpranay/
- **Justin B (Sr. Lead Consultant):** Justin leads industrial solutions architecture and enterprise client deployments at Klyff, ensuring zero false-reject bottlenecks and rapid ROI. Direct Profile: /about/justin | Email: justin@klyff.in | LinkedIn: https://www.linkedin.com/in/justin-b-262009169/
- **Joseph Ross (Lead Consultant):** Joseph leads plant floor integrations and OT telemetry workflows at Klyff, connecting directly to PLCs and SCADA via Modbus, OPC-UA, and MQTT. Direct Profile: /about/joseph | Email: joseph@klyff.in | LinkedIn: https://www.linkedin.com/in/thejosephross/?isSelfProfile=true

## Design Philosophy: BLERP
All Klyff products and services are engineered according to the BLERP principles:
- **Bandwidth:** Minimize uplink congestion by processing data directly at the edge sensor.
- **Latency:** Sub-50ms deterministic inference on high-speed production conveyor lines.
- **Economics:** Eliminate recurring cloud egress fees and unpredictable compute spikes.
- **Reliability:** 100% autonomous local operation during plant network disconnects.
- **Privacy:** Proprietary production data, defect images, and trade secrets never leave the plant perimeter.