The $7.6 million figure is the sum of two distinct, but simultaneous financial benefits unlocked by DataOpus: 

• $5.8 million in Annual Operational Savings: This comes from drastically reducing the operational costs of your existing infrastructure, primarily through server consolidation enabled by processor optimization. 
• $1.8 million in New Annual Revenue: This is the revenue potential created by recapturing “stranded assets”—power and space—and reselling them as new inventory. 

It’s a two-pronged benefit: we help you stop wasting money on inefficiency and simultaneously create a new product to sell with zero capital expenditure. 

Correct. Most of the savings comes from solving the single largest source of waste in any data center: chronic server underutilization. Our model is based on a typical 1,250-server database fleet where, as industry research shows, average server utilization is only 12-18%. 

DataOpus‘ processor optimization reduces database CPU load by 45-60%, which allows for a massive consolidation. The $5.8 million in annual savings is calculated from decommissioning 75% of the server fleet (937 servers) and is broken down as follows: 

Hardware Maintenance (60% of savings): This is the largest and most overlooked cost. Decommissioning 937 servers eliminates millions in annual maintenance contracts. 

• Rack Space (19% of savings): Freeing up hundreds of rackseliminatesthe associated costs or allows you to lease them to new clients. 
• Power (15% of savings): Directly reducing the powerdrawfrom hundreds of servers. 
• Cooling (6% of savings): Less power consumed means less heat generated, directly reducing your cooling load and costs.

The savings are dramatic because the solution is radical: we help you turn off the vast majority of your underutilized database servers. 

This revenue comes from applying the Stranded Asset Recapture Rate (SARR). The $1.8 million figure is a conservative estimate based on recapturing just 1 megawatt (MW) of power capacity in a 20MW facility (a 5% SARR) and reselling it at an average price of $150/kW/month. 

While the revenue is not “guaranteed”—it depends on your ability to sell the newly available capacity—the critical point is that DataOpus creates this new inventory with zero capital expenditure. You are not building a new wing; you are monetizing capacity that was previously being wasted by inefficient workloads. It is the highest-margin inventory you will ever sell. 

This is the core of the “Operator’s Dilemma,” and our model is designed to solve it. You are correct that customers have little incentive if they don’t see a direct benefit. That’s why our strategy is built on shared savings incentive models. 

Consider the “Gain-Share” model: 

1. You offer a free DataOpus analysis to your customer.
2. You propose a 50/50 split of the resulting energy savings. The customer gets a lower monthly bill and a faster, more reliable application with zero upfront cost or effort.
3. You get your 50% share of the savings, plus 100% of the recaptured server capacity (the far greater financial prize). 

This aligns your interests with your customers’. They get a tangible financial and performance benefit, and you unlock the multi-million-dollar savings in operational costs and new revenue potential. 

While the $7.6 million figure is based on a specific model, the principles are universal because the problem is universal. The core driver of these savings—chronic database and server inefficiency—exists in virtually every data center. 

• If your customers run databases, they have inefficient queries.
• If they run servers,a significant portionof them are idle. 

The exact dollar amount will scale based on your facility’s size, your energy costs, and your customer mix. That is why our first step is always a free, no-obligation efficiency analysis. We use your data to build a custom financial model that shows you exactly how much hidden capacity and savings are locked within your specific facility. The analysis will prove the applicability of the model to your unique situation.