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Zero-Risk Engagement β€’ No Credit Card Required

Unlock 8-20% Hidden Savings

In just 4 weeks. Backed by cryptographic evidence.

Advisory intelligence that sits above your existing DCIM, BMS, and IT systems.

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Analysis Services
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Avg. Savings Found
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Weeks to Results
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Infrastructure Risk

The "No-Brainer" Proposition

Why leading data centers choose Helios for their energy intelligence

Most Data Center Infrastructure Management (DCIM) tools tell you what is happening. The Helios PoV tells you why money is being wasted, who is wasting it (by specific AI job or tenant), and how to fix it.

This is a Free, Advisory-Only, 2-to-4 Week Engagement that layers intelligence above your existing stack without you lifting a finger or risking a single operational failure.

Read-only data access
AES-256-GCM encryption
Works with existing DCIM
No infrastructure changes

Calculate Your Potential Savings

See how much you could save with Helios advisory intelligence. Our calculator uses industry benchmarks to estimate your potential annual and 5-year savings based on your facility's characteristics.

8-20% typical improvement in energy efficiency based on current PUE

Payback in months, not years, with advisory-only engagement

Carbon reduction quantified for sustainability reporting

ROI Calculator

Estimate your potential savings with Helios advisory intelligence

10 MW
1 MW50 MW100 MW
1.60Below Average
Industry Benchmarks
1.10 Hyperscale1.20 Excellent1.58 Avg2.50
1% above industry average
1.10 (Excellent)1.58 (Avg)2.50 (Poor)
$0.10/kWh-17%
Regional Comparison
πŸ‡ΊπŸ‡ΈUS Average$0.12
πŸ‡ͺπŸ‡ΊEurope$0.18
🌏Asia Pacific$0.10
🌱Renewable PPA$0.04

Your rate: Below Average vs US average

$0.05$0.12 (US Avg)$0.30
70%
Enterprise ~45%Typical ~60%AI/HPC ~85%
20%60%100%

Real Questions. Real Answers.

See exactly how DC Energy Intelligence addresses your most pressing challenges

1

"Where Is Our Energy Actually Being Wasted?"

Data center operators, infrastructure managers

The Situation

You have meters, dashboards, and reports but no clear answer to which systems are wasting energy, whether the waste is persistent or incidental, and what can be fixed safely.

What We Do

Ingests approved telemetry (facility + IT), identifies idle, underutilized, and long-tail inefficiencies, ranks waste by impact, confidence, and operational risk, and produces a short list of actions with evidence.

Why This Is Different

Not just alerts or charts. Not asset guessing. Every finding includes why it is real and how confident it is.

Outcome

Operators get a prioritized, defensible action list, not another dashboard.

2

"Which Workloads Are Driving Energy Cost and Peak Risk?"

AI platform owners, HPC managers, FinOps

The Situation

Energy cost spikes occur, but nobody knows which jobs caused them, AI workloads behave differently than traditional IT, and peak demand penalties are unpredictable.

What We Do

Correlates workload behavior with energy consumption, attributes energy and cost to clusters, queues, or job classes, highlights which workloads drive peak exposure, and provides advisory recommendations.

Why This Is Different

DCIM sees infrastructure, not workloads. Scheduler tools see jobs, not energy impact. We connect both sides without taking control.

Outcome

Teams can change behavior intentionally instead of reacting to bills.

3

"How Do We Reduce Cost Without Touching the Plant?"

Facilities leadership, risk-averse enterprises

The Situation

There is pressure to reduce energy cost, but changing power or cooling setpoints feels risky, automation is not approved, and plant stability is non-negotiable.

What We Do

Operates advisory-only by default, produces recommendations that can be executed manually or via tickets, focuses first on IT-side and behavioral efficiency, and blocks unsafe or weak recommendations.

Why This Is Different

No facility write access required. No control-plane risk. Clear separation between insight and execution.

Outcome

Cost reduction without operational anxiety.

4

"Can We Prove Savings to Finance, Audit, or Regulators?"

CFOs, sustainability teams, compliance, regulators

The Situation

You are asked: How do you know this saved money? What assumptions did you use? Would this hold up in an audit? Dashboards and anecdotes do not survive scrutiny.

What We Do

Every recommendation includes an evidence pack with data lineage, assumptions, scenario checks, and verification results. If evidence is missing, output is blocked.

Why This Is Different

Designed for proof, not persuasion. Outputs are reproducible and reviewable. Aligns with audit and governance expectations.

Outcome

Decisions that stand up outside the operations team.

5

"How Do We Support AI Growth Without Exploding Energy Spend?"

Executives, investors, platform leaders

The Situation

AI adoption is increasing: power density rises, energy spend grows non-linearly, and planning assumptions break.

What We Do

Establishes a baseline for energy per workload class, detects efficiency regressions over time, flags when growth is driven by waste vs real demand, and supports scenario planning.

Why This Is Different

Focuses on energy outcomes, not just capacity. Enables informed growth decisions. Avoids overbuilding or reactive spending.

Outcome

AI growth that is predictable, defensible, and controllable.

6

"How Do We Make Better Use of Our Existing DCIM?"

Data center managers, consultants

The Situation

You already invested in DCIM/BMS tools: good visibility, lots of data, but still limited actionable guidance.

What We Do

Consumes DCIM telemetry as an input, adds correlation, attribution, and prioritization, and translates visibility into decision-ready outputs.

Why This Is Different

You do not replace DCIM. You make it more valuable. You avoid retraining teams or migrating systems.

Outcome

Better ROI from existing tools.

7

"How Do We Run a Safe Energy Optimization Program?"

Enterprise leadership, consultants, regulators

The Situation

Energy optimization initiatives often fail because recommendations are too aggressive, risk is not quantified, and accountability is unclear.

What We Do

Enforces governance gates, requires evidence and verification, provides confidence and risk scoring, and allows staged adoption (PoV to pilot to scale).

Why This Is Different

Optimization is treated as a program, not a script. Safety and trust are built in. Decisions are reversible and auditable.

Outcome

A sustainable optimization program instead of one-off efforts.

8

"Can We Try This Without Committing or Taking Risk?"

New customers, cautious enterprises

The Situation

Teams want value but fear long implementations, hidden scope creep, and unintended control changes.

What We Do

Offers a free, guided Proof of Value with read-only access, time-boxed scope, and clear deliverables and exit options.

Why This Is Different

No trust leap. No long-term commitment. Results first, contract later.

Outcome

Confidence to move forward or walk away with clarity.

DC Energy Intelligence helps organizations turn existing telemetry into safe, auditable energy decisions without replacing their systems or taking control of infrastructure.

Why You Will Be Excited to Try It

Hover over each card to discover the full capabilities

Job-Level Attribution for AI

While your current tools see 'rack power,' Helios sees 'Model Training Run #402.'

Hover for details

Zero Operational Risk

We never touch your infrastructure. Pure intelligence, zero risk.

Hover for details

Board-Room Superpowers

Present cryptographic evidence that satisfies SEC/EU ESG requirements.

Hover for details

Future-Proof Stress Testing

Model scenarios before they happen with predictive analytics.

Hover for details

Your 4-Week Journey

Click on each phase to explore the details

Week 0

The Frictionless Intake

We establish a read-only connection to your Prometheus, DCIM, or Slurm logs (or ingest CSV/JSON dumps).

  • 7-14 days of historical data required
  • Data protected by AES-256-GCM encryption
  • Differential Privacy (Ξ΅-budget) controls
  • Zero infrastructure changes required
Week 1-2

The Forensic Deep Dive

The Helios Engine runs its Quick-Win Services to identify high-confidence waste:

Week 3-4

The Executive Delivery

We deliver the Impact Bundle, a comprehensive artifact set designed to make you look like a hero to your board:

What You Will Walk Away With

8-20%
Typical Savings

Quantified Savings

A verified dollar amount of waste identified in your facility (typically 8-20% of addressable spend)

100%
Risk Coverage

Risk Assessment

A Heat Map of your peak demand exposure and tariff risks

4
Weeks to Compliance

Audit Readiness

A sample audit package proving you can meet new SEC/EU ESG requirements

Find Your Path

Is This For You?

Select your role to discover how Helios addresses your specific challenges

AI Platform Engineer

Tired of unexplained GPU throttling and capacity limits

30%
Avg. GPU efficiency gain

Common Challenges

1

GPU clusters running at 40% utilization while jobs queue

2

No visibility into which training runs consume the most power

3

Thermal throttling causing unpredictable job completion times

What You Get

Real-time energy attribution per job, user, and cluster

Predictive scheduling to avoid thermal bottlenecks

15-30% improvement in GPU utilization efficiency

β€œ

Finally, we can see exactly which training runs are burning through our energy budget.

AI Platform Engineer
Fortune 500 Data Center
No credit card required

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