Bridging the Physicaland Digital Worlds.
We believe technology should serve humanity, not the other way around. Our mission is to bring warmth, intelligence, and purpose to every connected device.
The Origin Story
From a spark of an idea to transforming industries worldwide.
The Beginning
PavitInfoTech founded on December 22nd with a vision to bring intelligence to industrial IoT systems.
Platform Launch
Launched our core IoT platform with proprietary anomaly detection engine, achieving 94% accuracy.
Enterprise Growth
Expanded enterprise offerings with predictive maintenance models and Digital Twin visualization.
Scaling New Heights
Continuing to innovate and expand our global footprint in intelligent IoT solutions.
AI for Good
We believe intelligent IoT isn’t just about efficiency it’s about building a sustainable future for our planet.
Carbon Reduction
Our predictive models help enterprises optimize energy consumption and reduce their carbon footprint.
Waste Prevention
Early detection prevents catastrophic failures, reducing equipment waste and replacement cycles.
Efficient Operations
Smart scheduling and load balancing minimize energy usage across industrial operations.
Sustainable by Design
Every feature we build considers its environmental impact. From energy-efficient algorithms to extended equipment lifespans, sustainability is woven into our DNA.
Meet Our Team
The minds behind the machine, building the future of intelligent IoT.
Elias Nordström
VP of Product Development
Transforms customer insights into intelligent features that solve real problems.
Kavya Deshmukh
Lead AI Engineer
Builds predictive algorithms that detect failures before they happen automatically.
Idris Kamara
Director of Platform Innovation
Pioneers breakthrough technologies enabling real-time intelligence across enterprise IoT systems.
Sienna Voss
Head of IoT Architecture
Designs scalable IoT ecosystems connecting thousands of devices seamlessly daily.
Live Platform Stats
Numbers that tell our story, updated in real-time from our global network.
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Sensors Monitored
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Anomalies Prevented
0.0 PB
Terabytes Processed
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Energy Saved