Report
Eff. 2026‑08
The long version
Everything the front page leaves out: where this studio sits in this market, how the ladder is priced, the depth claimed per estate with the export and the failure mode named, how the guarantee actually works, what gets refused, and a numbered source for every figure.
Figures about the market are researched and graded. No client figure appears anywhere on this site; every worked example is labelled synthetic.
Position
Market position
Six tiers sell cloud cost work; the seventh row of the table below is this studio, placed there so the comparison is on one axis. They differ less in method than in what they will put in writing before a call. None of the seventeen firms and vendor programs surveyed publishes a deal size, a client-size band or a staffing ratio.11
| Tier | Named in the research | Stated engagement shape | Prices published |
|---|---|---|---|
| Global SI and Big 4 | Accenture, Deloitte, PwC, EY, KPMG, DXC | Capability assessment, operating-model design, then a managed service. KPMG states an eight-week cost investigation.11 | No |
| Mid-market SI | Rackspace, Slalom, Presidio, Mission Cloud, Thoughtworks | Workshop, assessment, accelerator, then gainshare. Slalom lists an eight-hour Azure workshop as a priced item.11 | Partly |
| Boutique and solo | Duckbill, THNKBIG, Dysnix, and named independents | Project or retainer, mostly AWS, mostly sold through a media brand or a personal network.1116 | No |
| Savings-share software | MilkStraw, Pump, Glassity, Usage.ai, Antimetal | No fee unless savings land. Published rates cluster between 5% and 20% of realized savings.10 | Yes, as a percentage |
| Tooling vendors | Vantage, CloudZero, Finout, ProsperOps, Cast AI, Apptio, Flexera | Subscription, plus paid implementation services sold on top of their own product.14 | Partly |
| In-house team | Typically at 50M+ annual spend | Roughly one practitioner per 5M to 10M of annual cloud spend.2 | Not applicable |
| This studio | Fixed-fee | A fixed-fee ladder entered through a $900 export check, plus a monthly watch retainer. Rung fees are quoted at the teardown debrief and fixed at signature. | Entry price only |
No firm listed above is a client, a reference, or a commercial relationship of any kind. They are named because their offerings are public and checkable.
The survey everyone quotes when describing this market (861 respondents, about 69B of tracked spend5) skews heavily to enterprises, and the practice it describes now reports to a CTO or CIO rather than to Finance.17MEDIUM CONFIDENCE The buyer in the band below is not in that sample, which is most of why the band is under-served.
Four documented gaps
- The 500K to 5M spend band
- Too much waste to ignore, too little to justify a hire, and below the floor of a two-month assessment.12MEDIUM CONFIDENCE
- AI, GPU and inference attribution
- Organizations tracking AI cost went 31% in 2024, 63% in 2025, 98% in 2026. Per-tenant token and GPU attribution needs a join between provider usage exports and your own request logs, which no vendor can ship for you.3
- Kubernetes chargeback
- Around 70% of requested CPU and memory is never used, and chargeback adoption sits near 14%. The node is the billing unit; the namespace is the ownership unit.4MEDIUM CONFIDENCE
- Pre-deployment cost visibility
- Getting engineers to act on cost recommendations is the most-cited unsolved problem, named by roughly 40% of practitioners.13MEDIUM CONFIDENCE
Rates in the tiers above run to hundreds an hour, four figures a day, or a five-figure monthly retainer.8 This studio publishes no hourly rate at all: a fixed fee is the only price at which a buyer can compare an unknown against a known.
Scope
Scope, and the argument against it
The research argued for a narrow wedge: AWS, Kubernetes and LLM spend only, refusing Azure and GCP for the first twelve months. The scope actually sold is wider: AWS, Azure, GCP and AI spend. That decision was made deliberately and it creates a real credibility problem, because a studio claiming three clouds reads as a generalist.
The compensating control is the depth-per-estate section below. Every estate states its export of record and one named failure mode you can check against your own bill in an afternoon. Where depth is scoped rather than deep, the word used is “scoped”, and re-architecture on those estates is referred out rather than sold.
All major providers now export FOCUS-conformant billing data,6 which is what makes a single normalized schema across three estates feasible at all. GCP’s FOCUS export was still Preview in August 2026,7 MEDIUM CONFIDENCE so on GCP it is a cross-check and the detailed usage export to BigQuery is the pipeline.
Pricing
How the ladder is priced
One price is published: the $900 export check, three days, credited in full against the teardown. Every rung past it is a fixed fee in USD, quoted at the teardown debrief from the teardown’s own findings and fixed at signature. Nothing is a starting point and there is no hourly rate.
| Rung | Prerequisite | Payment |
|---|---|---|
| Spend Teardown | None | Half at signature, half at readout. Net 15. |
| Instrumentation Build | Spend Teardown | Per stage, on acceptance. Net 15. |
| Margin Watch | None | Monthly in advance. Net 15. 3-month term, then monthly, 30 days notice. |
| Inference Cost Controls | Spend Teardown | Half at signature, half on acceptance. Net 15. |
Terms, the guarantee and the payment schedule:pricing.
| Rung | Signed by | Produces |
|---|---|---|
| Spend Teardown | VP Engineering or Head of Platform, with the CFO or finance lead in the readout | Where the money goes, in dollars, reconciled to invoice. |
| Instrumentation Build | VP Engineering, who can sign each stage alone. | Cost per customer, feature and environment in one FOCUS-normalized schema. |
| Margin Watch | VP Engineering at a company where gross margin is now a board-level number | A weekly variance report, plus pull requests that ship fixes. |
| Inference Cost Controls | Head of ML Platform or the staff engineer who owns the inference path | Routing, caching, capacity shape and per-request cost attribution, shipped behind flags. |
For context only: aggregator sources put structured FinOps engagements at five to six figures,9LOW CONFIDENCE and savings-share providers at 5–20% of realized savings.10 Savings-share is not offered here, because it requires baseline-measurement infrastructure and a balance sheet that can survive a disputed calculation. Neither exists.
Questions
Questions and artifacts
Every question this offer has to survive has a written answer somewhere on this site. This is the index of which artifact answers which question. Nothing in it is behind a call.
| Question | Artifact | Where |
|---|---|---|
| Where does the money actually go? | 90-day model reconciled within 3% of invoice, plus a ranked waste list traced to export rows | Spend Teardown |
| What does one customer cost us? | The cost-per-customer derivation, written out with the query | Methodology · Derivation |
| How is shared cost split? | Five ordered passes, each removing cost from the pool the next may split | Methodology · Shared cost |
| How wrong can the number be? | A stated tolerance of ±3%, with the residual reported line by line | Methodology · Tolerance |
| What can this not tell us? | The limits section, written before you grant a credential | Methodology · Limits |
| What exactly will you be able to see? | Per-provider read roles, and the boundary that excludes prompt and completion payloads | Access · Boundary |
| What happens if you disappear? | The continuity clause; fees prorate to work delivered | Access |
| What does it cost, and when do we pay? | The $900 entry, the payment schedule, and how rung fees are set at the teardown debrief | Pricing · Entry |
| What if you find nothing? | The findings guarantee, with what counts and what is excluded | Pricing · Guarantee |
| Why trust a studio with no SOC 2 report? | The absent-controls table, and credentials you create and revoke | Pricing · Procurement |
| When should we not hire you? | The cases where this is the wrong purchase | Note |
Depth
Depth per estate
Depth is claimed as a number of cells out of five, with the export of record named and one failure mode stated in enough detail that you can check it against your own bill. A claim you cannot check is not a claim.
| Estate | Depth | Export of record | One named failure mode |
|---|---|---|---|
| AWS | deep | CUR 2.0 to S3, FOCUS 1.1 as cross-check | resource_tags_user_* columns exist only from the day a tag is activated, and activation is not retroactive |
| AI · LLM · GPU | deep | Bedrock invocation logs, Admin API usage, DCGM | DCGM_FI_DEV_GPU_UTIL reads near 100% whenever one kernel is resident, so it cannot see waste |
| Kubernetes | deep | EKS split cost data, OpenCost, GKE labels | the node is the billing unit and the namespace is the ownership unit, and no console bridges the two |
| Azure | scoped | Cost Management to ADLS Gen2 · amortized AND actual | unused reservation charges land on the billing profile, not the subscription that should have consumed them |
| GCP | scoped | Detailed usage export to BigQuery, plus pricing | credits arrive as separate negative rows and must be filtered by credits.type or the number double-discounts |
No per-estate methodology page is published yet, so no failure-mode count is claimed for one. The arithmetic that applies to all of them is at methodology.
Arithmetic
The arithmetic
The full derivation, the queries and one worked synthetic month live at methodology. This is the shape of it, so you know what you are opening.
The cost basis is amortized effective cost, never unblended: unblended is wrong for unit economics by exactly your commitment discount. Shared cost is split in five ordered passes, and the order is the claim: each pass removes cost from the pool the next one is allowed to split.
- 01Reconcile to invoiceMiss it and nothing above holds.
- 02Remove directly attributableDedicated resources leave at cost.
- 03Decompose idle, two ownersProvisioning, then manifests.
- 04Split on a measured driverA month's mix is not an hour's.
- 05Report the remainderNAT and cross-AZ carry no tag.
The model reconciles to within ±3% of the invoice, and the residual is reported line by line rather than absorbed. A model that ties out to the cent is hiding something: the note. What the arithmetic cannot say is written down before you grant a credential:limits.
Guarantee
Guarantee mechanics
If a teardown does not identify three times its fee in annualized savings, you pay nothing and keep every artifact: the report, the queries and the model.
A guarantee is only as good as its definitions, so both halves are published. The exclusions are the half that works against the studio.
- Counts as a finding
- Itemized, owned, priced
- Traced to rows in your export
- At your effective rate, never list
- Excluded from the 3×
- Already ticketed before kickoff
- Pricing or contract changes
- Engineering time, risk, reliability
Acceptance criteria and the cap per rung are on pricing. Savings are counted at your effective rate, never at list, which is the difference between an honest number and a flattering one.
Refusals
What gets refused
Tooling has absorbed commitment laddering, basic rightsizing, Kubernetes allocation math and pre-deploy estimates.14MEDIUM CONFIDENCE Selling those by hand would be selling a worse version of software you can buy. Each row below is declared on the service page that excludes it.
| Not sold | What already does it | Declared on |
|---|---|---|
| Commitment buying | ProsperOps, Zesty | Spend Teardown · Margin Watch |
| Terraform cost estimates | Infracost | Spend Teardown · Inference Cost Controls |
| A dashboard | Vantage, Grafana | Spend Teardown |
| Azure or GCP re-architecture | referred out | Spend Teardown · Margin Watch |
| A dashboard product | Vantage, your BI tool | Instrumentation Build |
| Warehouse migration | the warehouse you run | Instrumentation Build |
| Eval tooling | Langfuse, Braintrust | Instrumentation Build |
| GCP FOCUS as sole pipeline | cross-check only | Instrumentation Build |
| 24/7 paging | your rota | Margin Watch |
| Staff augmentation | capped at eight hours | Margin Watch |
| Eval harness authoring | your eval suite | Inference Cost Controls |
| Deep GPU serving work | separately quoted | Inference Cost Controls |
| The migration itself | the memo, not the move | Inference Cost Controls |
No vendor named on this site pays this studio anything.
Absent
What is absent
Buyers at this size run a security and vendor review. These are the findings that review will produce, written down before it starts. Mid-size and enterprise buyers routinely require seven-figure per-claim and aggregate errors-and-omissions cover;12 none is bound.
| Absent | Compensating control |
|---|---|
| No SOC 2 report | Credentials you create and revoke; no write access exists |
| No staffing redundancy claimed | Continuity clause; fees prorate to work delivered |
| No case studies | Published arithmetic; every example labelled synthetic |
| No named founder on this site | Named by email before signature |
| No E&O policy | None bound. No certificate exists to send you. |
Access
Access boundary
Every credential is created by you, scoped to read, time-boxed to the engagement and revocable by you at any time. There is no write access anywhere in the ladder, and no access to prompt or completion payloads. The exact policy documents are on access.
| Scope requested | Policy |
|---|---|
| AWS · billing read, CUR prefix, tag and resource metadata | Exact policy |
| Azure · Cost Management Reader, read on the export container | Exact policy |
| GCP · billing viewer and BigQuery Data Viewer | Exact policy |
| LLM and GPU · usage and cost read scope only | Exact policy |
| Repositories and CI · where pull requests land | Exact policy |
| Kubernetes · read-only RBAC where inference runs | Exact policy |
The boundary in full: data boundary ·no SOC 2 ·continuity ·the appendix, verbatim.
Reading
Further reading
The long-form depth is in the notes. Each states whether its figures are synthetic or drawn from public data before you start reading it.
Sources
Sources
Every market figure on this page is numbered here with its confidence grade and the research artifact it came from. Where the two artifacts disagree about a grade, the lower one is used and the disagreement is stated. Source 15 is the only case so far, and it is left in the list rather than quietly dropped, because the way a studio handles a figure it cannot stand behind is more informative than the figure.
- 1Outsourced cost engineering is framed as most compelling at roughly 500K to 5M of annual cloud spend: too much waste to ignore, too little to justify an in-house hire.infracost.io · marketsandmarkets.com · verified-findings.json · credentials-and-entryMEDIUM CONFIDENCE
- 2Staffing rule of thumb of roughly one FinOps practitioner per 5M to 10M of annual cloud spend.infracost.io · finops.org · verified-findings.json · credentials-and-entryMEDIUM CONFIDENCE
- 3Share of organizations tracking AI cost: 31% in 2024, 63% in 2025, 98% in 2026.nops.io · verified-findings.json · credentials-and-entryHIGH CONFIDENCE
- 4Roughly 70% of requested Kubernetes CPU and memory is never used; chargeback adoption sits near 14% and showback near 13%.spendark.com · cast.ai · verified-findings.json · credentials-and-entryMEDIUM CONFIDENCESecondary sources citing primary surveys. Not verified against the survey text.
- 5State of FinOps 2025 surveyed 861 respondents representing about 69B of tracked cloud spend, skewed to enterprises.data.finops.org · verified-findings.json · credentials-and-entryHIGH CONFIDENCE
- 6All major providers now export FOCUS-conformant billing data natively.focus.finops.org · verified-findings.json · big-consultanciesHIGH CONFIDENCE
- 7GCP's FOCUS export was still Preview as of August 2026, which is why it is used as a cross-check and never as the sole pipeline.focus.finops.org · strategy-report.md §3MEDIUM CONFIDENCE
- 8Independent FinOps consultants commonly charge hundreds an hour, four figures a day, or five-figure monthly retainers.ziprecruiter.com · verified-findings.json · big-consultanciesHIGH CONFIDENCE
- 9Structured FinOps engagements are commonly quoted at five to six figures by aggregator sources.assets.applytosupply.digitalmarketplace.service.gov.uk · verified-findings.json · solo-consulting-mechanicsLOW CONFIDENCEAggregator figure, not published by any named firm.
- 10Published savings-share rates among small AWS cost providers cluster between 5% and 20% of realized savings.milkstraw.ai · verified-findings.json · demand-and-painHIGH CONFIDENCE
- 11Across the seventeen firms and partner programs researched, none publishes deal sizes, client-size segmentation or staffing ratios.rackspace.com · verified-findings.json · solo-consulting-mechanics (cross-referenced synthesis)HIGH CONFIDENCE
- 12Errors-and-omissions minimums demanded by mid-size and Fortune 500 buyers are seven figures per claim and per aggregate.embroker.com · verified-findings.json · boutiques-and-solosHIGH CONFIDENCE
- 13Getting engineers to act on cost recommendations is the most-cited unsolved pain point, named by roughly 40% of practitioners, alongside pre-deployment cost visibility.holori.com · data.finops.org · verified-findings.json · credentials-and-entryMEDIUM CONFIDENCE
- 14Commitment laddering, basic rightsizing, Kubernetes allocation math and pre-deploy estimates have been absorbed by tooling; vendors still sell paid implementation services on top of their own products.prosperops.com · opencost.io · verified-findings.json · tooling-vendorsMEDIUM CONFIDENCE
- 15The FinOps Certified Practitioner credential is often quoted as appearing in 94% of FinOps job postings, against fewer than 30,000 holders and 80,000+ open roles.notjustexam.com · verified-findings.json · big-consultancies, downgraded by strategy-report.md §2LOW CONFIDENCEThe two research artifacts disagree. verified-findings.json grades this high; the strategy memo downgrades it, tracing the demand figure to a single blog against job boards showing roughly 1,900 US roles. The lower grade is used here, and the credential is not claimed on this site.
- 16Most independent technical consultants land a first client through referral, with a realistic ramp of five to six months.davidafields.com · goingsolo.substack.com · verified-findings.json · boutiques-and-solosHIGH CONFIDENCE
- 17FinOps has moved to a CTO or CIO reporting line rather than Finance, with organizational integration reported near 78%.finops.org · data.finops.org · verified-findings.json · big-consultanciesMEDIUM CONFIDENCEThe two cited sources phrase this differently, one as a reporting line and one as an integration rate, so the percentage is carried at medium confidence.
Next
If you got this far
The first step is a $900 export check: three days, read-only access you create and revoke, and a written go or no-go on whether your billing exports can support the rest of the ladder at all. It is the cheapest way to find out that the answer is no.