LUMEN

The Intelligent Autopilot for Data Center Energy

Cutting AI cooling and power costs by 30% in real-time.

Bharat Golchha — Founder & CEO contact@lumen.ai

02 — The Problem

The Silent Bottleneck of the AI Revolution

The Thermal Crisis

AI chips run hotter and denser than legacy CPUs. Traditional static cooling can't adapt—leading to hardware throttling and frequent downtime.

10×

Power Density vs. CPU

Skyrocketing Energy Bills

Power is now the #1 operating expense. Over 40% of that energy is wasted on inefficient cooling, not computation.

$40B

Wasted Cooling Spend / Yr

Grid & Regulatory Limits

Grid capacity is capped. Operators can't build fast enough because local grids are denying new power allocations.

40%

Energy Wasted on Cooling

Data centers are running out of power — and burning through cash to stay cool.

03 — The Solution

Lumen: Real-Time Thermodynamic Autopilot

Dynamic Predictive Cooling

Lumen reads incoming AI workloads milliseconds before they hit the GPUs—dynamically adjusting cooling loops to prevent heat spikes before they happen.

Zero-Downtime Guardrails

Our proprietary AI continuously balances power across the cluster—preventing thermal throttling and extending hardware life by up to 25%.

Plug-and-Play Integration

Lumen integrates seamlessly with existing BMS and DCIM tools via secure local APIs. No hardware retrofits required.

The Proof Point

Average energy savings: 28% across cooling systems. Zero hardware throttling.

04 — Market Size

A Massive, Expanding Global Opportunity

$120B

TAM

Total Addressable Market

Global AI data center energy & cooling expenditure by 2030.

$45B

SAM

Serviceable Addressable Market

Software-defined energy & cooling optimization systems.

$3.2B

SOM

Serviceable Obtainable Market

Tier-1 & Tier-2 colocation and private enterprise AI data centers in North America & Europe.

📈 Data center power consumption projected to double by 2030, driven entirely by generative AI.

05 — How It Works

Under the Hood: Three Steps to Efficiency

Step 01

Ingest & Map

Lumen continuously ingests telemetry—CPU/GPU temps, power draws, ambient humidity, and local weather patterns.

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Step 02

Predictive Modeling

Our lightweight neural network forecasts thermal loads 30 seconds ahead based on incoming job queues.

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Step 03

Closed-Loop Control

Lumen writes micro-adjustments directly to chillers, pumps, and fans via secure APIs—matching cooling to the exact thermal footprint.

We don't replace the physical hardware — we make it smart. We bridge the software workload with the physical infrastructure.

06 — Traction

Lumen by the Numbers

28%

Average cooling power reduction achieved across our 3 live enterprise pilots.

$1.4M

ARR

Current annual recurring revenue, growing 3.5× YoY with 100% retention.

$12M

Qualified sales pipeline across US-based colocation and private cloud providers.

"Lumen cut our facility PUE from 1.6 to 1.25 in less than 45 days."

— VP of Operations, Nexus Cloud

07 — Business Model

A Dual-Engine Revenue Model

Option A — SaaS

Software-as-a-Service

Predictable, recurring subscription pricing based on active megawatt (MW) capacity managed by Lumen.

Pricing

$2,500 / MW / Month

Ideal for: Large-scale hyperscalers & enterprise operators seeking predictable OpEx.

Option B — Shared Savings

Performance-Based

Zero upfront cost. Lumen takes a 30% cut of the verified, auditable utility bill savings we generate.

Revenue Share

30% of Verified Savings

Ideal for: Mid-market colocation facilities seeking risk-free deployment.

85%+

Gross Margins

< 3 mo

Customer Payback

08 — The Ask

Fueling Our Next Stage of Growth

The Ask

$4.5M Seed Round

Engineering & Product 50%

Scale AI & control-systems team for edge deployments.

Go-To-Market 35%

Dedicated enterprise sales for Tier-1 colocation providers.

Operations & Security 15%

SOC2 Type II compliance & 24/7 remote monitoring expansion.

18-Month Milestone Targets

1

Scale from $1.4M → $5.0M ARR

3.5× revenue growth through expanded deployments.

2

Deploy across 15+ enterprise sites (100+ MW)

Contracted deployments with Tier-1 operators.

3

Launch self-serve deployment toolkit

Automated remote onboarding for mid-market scale.

"Join us in building the smart grid for the intelligence age."