Predict Thermal Risk
Before It Becomes Downtime
Vashitva AI is building predictive thermal intelligence for data centers and high-density AI computing infrastructure. Our software-first approach aims to help operators identify emerging thermal risks, detect hotspots, and make better-informed cooling decisions using telemetry-driven analytics.
Engineered for the next generation of AI infrastructure
A control plane built for hyperscale reliability, sustainability targets, and real-world thermodynamics.
One control plane for every cooling decision
Eight modules from sensor fabric to reporting — marked honestly by what runs in the live demo, what uses simulated data, and what is still planned.
- IoT Sensors
- Gateways
- Chillers · CRAHs · PDUs
- Time-series Store
- Feature Pipeline
- Twin State
- Predictive Models
- Control Agents
- ESG Analytics
- Operator Console
- APIs & Webhooks
- Reports
A live simulation of your data center
Model airflow, thermal load and hydraulic behaviour from live telemetry. Validate every cooling strategy in simulation before an operator applies it.
Vashitva AI in motion
A short walkthrough of our predictive cooling intelligence and digital-twin approach.
From telemetry to better-informed cooling decisions
A loop from ingest to Digital Twin simulation to recommendations an operator reviews.
What the twin shows on a modelled facility
An illustrative scenario generated by the console simulation engine. The figures shown are modelled outputs from synthetic telemetry, not results measured at a customer site.
Illustrative scenario — modelled colocation site
In this scenario the facility experiences chiller overshoot, hot spots during humidity swings and manual setpoint changes. The twin ingests synthetic SCADA, IoT and weather data, models the thermal state, and produces cooling recommendations every 15 minutes.
Modelled outputs from the digital-twin simulation running on synthetic telemetry — not measured results from a customer facility.
Built for the operators of critical compute
Wherever compute density meets thermodynamic and sustainability pressure, Vashitva AI is the control plane.
A control plane, not another dashboard
Eight design principles that separate Vashitva AI from legacy building management and monitoring tools.
The technology behind Vashitva OS
A DeepTech stack purpose-built for high-density, high-availability compute environments.
Six layers of cooling intelligence
From sensor to decision: a modular stack that deploys at the edge or in the cloud.
Edge IoT
Sensors, PLCs, weather and satellite feeds ingest telemetry at the facility perimeter.
Data Lake
Time-series telemetry, asset metadata and ESG data unified for model training.
AI Engine
Predictive models for thermal load, failures, PUE/WUE and control recommendations.
Digital Twin
Physics-informed simulation of heat, airflow and cooling plant behaviour.
Control Layer
Closed-loop setpoint recommendations or direct supervisory control.
Experience Layer
Console, alerts, reports, API and Copilot for operators and executives.
From first pilot to global platform
A staged execution plan focused on production validation before scale.
Built by a DeepTech founder
"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 BharatPathCurrently raising Pre-Seed
Partnering with investors and operators who understand that the next AI wave is a physical infrastructure story.
Everything you need for due diligence
Deck, demo and data room access. Reach out to request the full Pre-Seed materials.
Become a co-founder, not an employee
Vashitva AI is building the AI operating system for sustainable data centers and satellite ground infrastructure. We are opening three founding seats for people who want to own the future — with capital, conviction and daily execution.
This is not a job. It is a future.
- Real equity in a DeepTech company from day one — no salary promise, no title theatre.
- Capital goes straight into pilots, edge hardware and the AI engine — not into founder salaries.
- Ownership of a domain: engineering, growth & enterprise sales, or operations & compliance.
- Long-term horizon: we are building sovereign AI infrastructure for India and beyond.
Builders and closers who can commit consistent weekly hours, take responsibility without supervision, and stay through the hard early years. Every application is reviewed personally by the founder, followed by a 30-minute conversation.
See Vashitva OS in action
We are seeking data-center operators for real-world validation. Book a walkthrough, or discuss a pilot on your own telemetry.
What to expect
- Live telemetry dashboard tailored to your facility profile
- AI prediction demo for hotspots and chiller failures
- Before/after optimization simulation
- Q&A with the founding team
Proposed pilot evaluation framework
Proposed validation framework — not completed testing
- Thermal anomaly detection and warning lead time
- Hotspot identification and prediction accuracy
- Integration effort with your existing telemetry
- Energy and water consumption measured against an agreed baseline, where data is available