AI data center infrastructure
NVIDIA Inception · AI Infrastructure DeepTech

The AI Operating System for Sustainable Data Centers

Vashitva AI continuously monitors cooling systems, predicts failures, optimizes airflow, reduces energy consumption, and improves data center efficiency using Digital Twins and AI.

Sensor Fabric
Telemetry Ingest
Vashitva AI Core
Digital Twin · Agents
Cooling Control
Autonomous Loop
closed-loop cooling intelligence
Platform Capabilities

Engineered for the next generation of AI infrastructure

A control plane built for hyperscale reliability, sustainability targets, and real-world thermodynamics.

AI-based Predictive Cooling
Digital Twin Enabled
Real-time Monitoring
Sustainability Focused
Enterprise Ready
Edge AI Compatible
Platform

One control plane for every cooling decision

Eight tightly integrated modules — from sensor fabric to autonomous control and disclosure-grade reporting.

AI Agents
Autonomous agents that reason across telemetry, workloads, and thermal state.
Sensor Monitoring
Unified ingest for temperature, humidity, flow, power, and vibration sensors.
Thermal Intelligence
Rack- and row-level thermal modeling to detect hotspots before they form.
Digital Twin
A live simulation of your facility for what-if analysis and safe control tuning.
Predictive Maintenance
Anomaly detection on chillers, CRAHs and pumps to prevent unplanned downtime.
Energy Optimization
Dynamic setpoint and load orchestration to reduce cooling energy draw.
Cooling Automation
Closed-loop control policies for airflow, chilled water, and free cooling regimes.
ESG Reporting
Auditable reporting for PUE, WUE, and carbon disclosures aligned to CSRD & TCFD.
Reference Architecture
vashitva.os
Edge Layer
  • IoT Sensors
  • Gateways
  • Chillers · CRAHs · PDUs
Data Layer
  • Time-series Store
  • Feature Pipeline
  • Twin State
AI Layer
  • Predictive Models
  • Control Agents
  • ESG Analytics
Experience Layer
  • Operator Console
  • APIs & Webhooks
  • Reports
Digital Twin

A live simulation of your data center

Model airflow, thermal load, and hydraulic behavior in real time. Validate every cooling strategy before it touches a single rack.

3D digital twin of a data center with server racks, cooling pipes and thermal overlay
CHILLER LOOP
SIMULATED
COOLING
OPTIMIZING
TWIN STATE
LIVE
Twin synced·Sensor Fabric·Digital Twin
Server Racks
Per-rack thermal and load state modeling
Airflow
CFD-informed flow simulation
Cooling Pipes
Hydraulic and valve orchestration
Sensor Fabric
Multi-source IoT signal integration
Watch

Vashitva AI in motion

A short walkthrough of our predictive cooling intelligence and digital-twin approach.

How it works

From telemetry to autonomous control

A closed loop from ingest to Digital Twin simulation to disclosure-grade reporting.

01
Ingest
Collect real-time sensor, PDU, chiller, and rack telemetry.
02
Model
Build a live Digital Twin of the facility and its thermodynamics.
03
Predict
AI models forecast thermal load, anomalies, and failure risk.
04
Optimize
Autonomous control loops tune cooling setpoints continuously.
05
Report
Generate audit-grade sustainability and ESG disclosures.
Pilot data

Real results from a hyperscale facility

Before/after metrics from a 12 MW colocation pilot in India. Vashitva OS ran for 90 days alongside the existing BMS.

Scenario

12 MW colocation, NCR region

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.

Deployed in 14 days with zero hardware replacement
AI predictions flagged 3 thermal events 6 hours ahead
Optimization engine reduced chiller cycling by 34%
Explore live console
PUE
1.481.29
Improved
WUE
1.851.32 L/kWh
Improved
Energy
+12%-19%
Improved
CO₂e
842612 T/year
Improved
Industries

Built for the operators of critical compute

Wherever compute density meets thermodynamic and sustainability pressure, Vashitva AI is the control plane.

AI Data Centers
GPU-dense facilities running training and inference at hyperscale.
Cloud Providers
Multi-region operators pursuing PUE and WUE efficiency targets.
Enterprise Data Centers
Private facilities modernizing cooling and sustainability posture.
Telecom Infrastructure
Edge sites and central offices with distributed thermal profiles.
HPC Clusters
Research and scientific compute with liquid and hybrid cooling loops.
Government Infrastructure
Sovereign compute and critical infrastructure with strict SLAs.
Why Vashitva

A control plane, not another dashboard

Eight design principles that separate Vashitva AI from legacy building management and monitoring tools.

AI-native
Built from the ground up around machine learning, not bolted on to legacy BMS.
Built for tropical climates
Cooling policies designed for high ambient and humidity envelopes.
Water-aware optimization
Balances WUE alongside PUE, not just energy in isolation.
Predictive maintenance
Forecast component degradation before it becomes downtime.
Digital Twin architecture
Every recommendation is simulated before it is deployed.
Sustainable infrastructure
Designed to help operators meet CSRD, TCFD, and SEC climate rules.
Lower operational cost
Reduce energy draw and extend the life of cooling equipment.
Enterprise integrations
First-class connectors to BMS, DCIM, and cloud data platforms.
Technology Stack

The technology behind Vashitva OS

A DeepTech stack purpose-built for high-density, high-availability compute environments.

Machine Learning
Forecasting, anomaly detection, and reinforcement-based control.
Edge AI
Low-latency inference at the facility for closed-loop control.
IoT Sensors
Multi-vendor sensor ingest across thermal, hydraulic, and electrical domains.
Digital Twin
Physics-aware simulation of the facility state and its dynamics.
Computer Vision
Visual inspection for airflow containment and thermal imaging.
Time-Series Analytics
High-resolution telemetry processing and pattern mining.
Cloud Infrastructure
Elastic training, model registry, and multi-site orchestration.
NVIDIA AI Ecosystem
GPU-accelerated training and inference in the NVIDIA Inception program.
Architecture

Six layers of cooling intelligence

From sensor to decision: a modular stack that deploys at the edge or in the cloud.

Layer 1

Edge IoT

Sensors, PLCs, weather and satellite feeds ingest telemetry at the facility perimeter.

Layer 2

Data Lake

Time-series telemetry, asset metadata and ESG data unified for model training.

Layer 3

AI Engine

Predictive models for thermal load, failures, PUE/WUE and control recommendations.

Layer 4

Digital Twin

Physics-informed simulation of heat, airflow and cooling plant behaviour.

Layer 5

Control Layer

Closed-loop setpoint recommendations or direct supervisory control.

Layer 6

Experience Layer

Console, alerts, reports, API and Copilot for operators and executives.

Roadmap

From first pilot to global platform

A staged execution plan focused on production validation before scale.

2026
Foundation
MVP
Ship the first release of Vashitva OS with core telemetry and Digital Twin.
Pilot Deployments
Live pilots at partner facilities to validate models in production.
Design Partners
Onboard strategic design partners across cloud and enterprise.
2027
Growth
Enterprise Customers
General availability for enterprise data center operators.
India Expansion
Scale deployments across India's hyperscale and colocation footprint.
2028
Platform
Global Data Center Platform
Multi-region rollout across APAC, EMEA, and North America with certified integrations.
Founder

Built by a DeepTech founder

Prabhat Mishra, Founder & CEO of Vashitva AI
Founder & CEO
Prabhat Mishra
NVIDIA Inception · AI Infrastructure · Digital Twins
Founder note

"We are not building another dashboard. We are building the autonomous nervous system that keeps the world's AI infrastructure cool, efficient and sovereign."

Prabhat Mishra
NVIDIA
Inception
BharatPath
Founder
DeepTech
AI Infra
WebTechInfinity
MSME Registered
Company registration

WebTechInfinity — MSME Registered

UDYAM-UP-43-0149483

WebTechInfinity Pvt Ltd — Under Process

prabhatmishra.lovable.app
Mission
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.

Focus areas
AI-based predictive cooling
Forecasting thermal load before it becomes a failure.
Digital twin engineering
Physics-informed simulation of facility thermal behaviour.
Edge AI & IoT telemetry
Real-time sensing across racks, plant rooms and ground stations.
Sustainability & water stewardship
Cutting PUE, WUE and CO₂e across compute infrastructure.
DeepTech
AI Infrastructure
NVIDIA
Inception Program
Global
Startup Ecosystem
Also founded
BharatPath

A India-focused digital platform built and led by the same founding team.

Visit BharatPath
Investors

Currently raising Pre-Seed

Partnering with investors and operators who understand that the next AI wave is a physical infrastructure story.

Round
Pre-Seed · Open
Building sovereign AI infrastructure for sustainable data centers.
Request Investor Deck
Strategic Investors
Deep-tech and AI infrastructure funds aligned with our thesis.
Enterprise Design Partners
Operators willing to co-develop on live production sites.
Data Center Operators
Hyperscale, colocation, and enterprise facility owners.
AI Infrastructure Partners
OEMs and platform partners across the compute stack.
Book a demo

See Vashitva OS in action

Schedule a 30-minute walkthrough tailored to your data center or satellite ground segment.

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
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