
Vashitva AI continuously monitors cooling systems, predicts failures, optimizes airflow, reduces energy consumption, and improves data center efficiency using Digital Twins and AI.
A control plane built for hyperscale reliability, sustainability targets, and real-world thermodynamics.
Eight tightly integrated modules — from sensor fabric to autonomous control and disclosure-grade reporting.
Model airflow, thermal load, and hydraulic behavior in real time. Validate every cooling strategy before it touches a single rack.

A short walkthrough of our predictive cooling intelligence and digital-twin approach.
A closed loop from ingest to Digital Twin simulation to disclosure-grade reporting.
Before/after metrics from a 12 MW colocation pilot in India. Vashitva OS ran for 90 days alongside the existing BMS.
The site suffered from chiller overshoot, hot spots during monsoon humidity swings, and manual setpoint changes. Vashitva OS ingested SCADA, IoT and weather data, built a physics-informed digital twin, and recommended control actions every 15 minutes.
Wherever compute density meets thermodynamic and sustainability pressure, Vashitva AI is the control plane.
Eight design principles that separate Vashitva AI from legacy building management and monitoring tools.
A DeepTech stack purpose-built for high-density, high-availability compute environments.
From sensor to decision: a modular stack that deploys at the edge or in the cloud.
Sensors, PLCs, weather and satellite feeds ingest telemetry at the facility perimeter.
Time-series telemetry, asset metadata and ESG data unified for model training.
Predictive models for thermal load, failures, PUE/WUE and control recommendations.
Physics-informed simulation of heat, airflow and cooling plant behaviour.
Closed-loop setpoint recommendations or direct supervisory control.
Console, alerts, reports, API and Copilot for operators and executives.
A staged execution plan focused on production validation before scale.

"We are not building another dashboard. We are building the autonomous nervous system that keeps the world's AI infrastructure cool, efficient and sovereign."
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Building sovereign AI infrastructure for sustainable data centers.
Vashitva AI is founded on the belief that the next trillion-dollar layer of AI is not a model — it is the physical intelligence that keeps every model alive: cool, sustainable, and always on.
Prabhat Mishra is a deep-tech founder working at the intersection of artificial intelligence, thermal engineering and sustainable infrastructure. He leads Vashitva AI's product and research direction — designing the predictive cooling engine, the digital-twin simulation layer and the edge telemetry stack that together form an AI operating system for data centres and satellite ground segments.
He is also the founder of BharatPath, an earlier venture that shaped his approach to building India-first technology products from first principles.
A India-focused digital platform built and led by the same founding team.
Visit BharatPathPartnering with investors and operators who understand that the next AI wave is a physical infrastructure story.
Deck, demo and data room access. Reach out to request the full Pre-Seed materials.
Schedule a 30-minute walkthrough tailored to your data center or satellite ground segment.