GPU Behavioral Forensics.We find GPU waste in your AWS and Azure billing data and prove it — with a fully auditable findings report. No find, No fee. No Risk.
What We Do
The average GPU environment wastes 15–60% of its monthly cloud spend in billing patterns that standard cost tools never surface.MPAX Forensics applies GPU Behavioral Forensics to your existing billing exports, detecting idle, misconfigured, and long-running resources that burn cash with no measurable business value.We deliver a defensible, resource-level findings report within 24 hours of receiving your completed billing file. No credentials shared. No infrastructure touched. No software installed.
What Every Audit Includes.
We conduct a full rule-based behavioral analysis on your entire GPU fleet.
Leadership receives a polished executive report covering all audit findings.
Your engineering team gets detailed findings paired with clear action steps.
We surface the top 10 waste findings, each with specific remediation steps.
Spend is broken down clearly by team, environment, and instance type used.
All audit results are fully researched, packaged, and delivered in 48 hours.
Who Uses MPAX
ML and AI infrastructure teams running GPU workloads on AWS or Azure.
Engineering and DevOps leaders responsible for cloud spend accountability.
FinOps and finance teams seeking forensic-grade visibility into GPU cost.
CTOs and VPs of Infrastructure managing GPU sprawl faster than governance.
Healthcare AI companies running inference and training workloads on medical imaging, NLP, and drug discovery pipelines.
Best fit: organizations spending $25,000 or more per month on GPU infrastructure with billing data that has outgrown their existing cost tooling.
How It Works
Step 1
Submit Your Request
Fill out the prescan request form below. No commitment required.Step 2
Export & Upload Your Billing CSV
Export a filtered billing CSV from your AWS or Azure console and upload it securely to MPAX. We will send exact export instructions after your request is received.Step 3
We Run the Prescan
Our engine performs a rapid pass across your GPU billing data to detect early idle patterns and determine if a full audit is warranted.Step 4
Follow-Up Within 24 Hours
If your data shows waste levels that support a full audit, we will reach out with engagement options. If we do not see a fit, the process ends there — no audit, no invoice, no pressure.Step 5
Full Forensic Audit (If Qualified)
If your data qualifies for a full audit, you upload your complete billing CSV. Our engine validates and normalizes the data, then runs behavioral detection rules. Findings are scored by estimated waste savings and tied to team, environment, and resource ID.Your Executive Report, Findings & Action Report, and complete audit files are delivered within 24 hours — no installation required.
FAQ
Who actually performs the audit — humans or automation?
Our detection engine runs the full automated analysis against your billing data. A human analyst reviews all findings before your report is delivered to ensure accuracy.What exactly is in the Findings & Action Report?
Each finding includes the resource ID, estimated monthly waste, the behavioral rule it triggered, and specific remediation steps your team can execute directly.What can we expect in the Executive Report?
Your Executive Report includes a plain-language summary of total GPU spend, avoidable waste percentage, and a savings potential range. It also includes a cost-of-inaction projection at 30, 90, and 365 days, a priority action plan ranked by dollar severity, and a full spend breakdown by team, environment, and instance type — everything leadership needs to make a decision without digging into the technical detail.How do we act on the findings — do you help with implementation?
We deliver the roadmap. Execution stays with your engineering team. The remediation steps are written specifically for hands-on engineers, not just executives.What if we dispute a finding?
If your team flags a finding as inaccurate, we review it. Our fee is based only on confirmed, validated waste — not estimates you disagree with.Can we run audits on a recurring basis — monthly or quarterly?
Yes. Teams with active GPU workloads typically run a full audit quarterly to stay ahead of spend drift as environments scale and change.Will this audit disrupt our infrastructure or running workloads?
No. We never touch your infrastructure. Everything is analyzed through your billing export only — zero operational risk.Is our billing data secure?
Yes. Your file is transferred over SSH-encrypted SFTP, stored on an AES-256 encrypted volume in an isolated partition, and permanently deleted after your reports are delivered. We connect to nothing inside your infrastructure — no credentials, no API access, no system touch. Your source data exists in our environment for less than 24 hours and is never sold, shared, or used to train any model. A signed delete manifest with file hashes is included in every audit package.What are the risk — if we do the prescan?
The data you're sharing is cost and usage data — not credentials or access keys. It cannot be used to access your environment. It is, however, competitively sensitive. MPAX handles it under strict confidentiality and provides a deletion manifest upon prescan completion.
How We Charge
25%-30% of confirmed waste. Nothing more.
No Retainers. No hourly rates. No upfront fees. Our fee is a direct percentage of the avoidable GPU spend we identify in your billing data.
Example: If we identify $80,000 in confirmed waste, our fee is $20,000-$24,000. You net $56,000-$60,000 - recovered in the same billing cycle.
No Find. No Fee. No Risk
The prescan decides everything.
If there's nothing there, we'll be the first to tell you.
Contact
[email protected]
832-377-1228