What We Find Before Anyone Else Looks

One real engagement. Five modeled scenarios. Each represents a deal where the buyer would have committed capital based on the seller's narrative. BLACK surfaces the reality in 72 hours, with zero system access.

BLACK detects concealment posture, not fraud. Either the evidence exists or it doesn't — and the absence is the finding. The first case study below is from a real engagement with client consent. The remaining scenarios are modeled from patterns observed across expert network engagements, operational diligence work, and 87 sponsor conversations. The discretion isn't a limitation. It's the product.
$673M
Total deal value assessed
$24.6M
Adjustments identified
6
Sectors, same protocol
Zero
System access required
Infrastructure Services Real Engagement 5 Risks + 1 Watch

78% of projected revenue rested on a contract the founder never produced.

Infrastructure operator · $1M equity ask · 78% forward revenue from single counterparty

$609K
Exposure identified
$145K
Reserves sized
5
Risks surfaced
72 hrs
Time to findings

What BLACK Found

  • 78% of forward revenue tied to a single contract — signed agreement was never produced
  • One of four "signed" partner agreements was an unsigned template with bracketed placeholders
  • No disaster recovery plan despite carrying $1M+ in cyber and workers' comp insurance
  • Quality control evidence folder was completely empty
  • Confidential information and trade secret protections existed only as an unsigned draft
  • Insurance coverage and partner relationships validated — confirmed as strengths
What the investor gained

$464K revenue concentration exposure priced before term sheet. Milestone tranches tied to contract verification. $145K in remediation items identified for escrow or founder pre-close delivery.

Without BLACK

Unsigned agreement discovered during legal review — confidence collapses, deal stalls. Empty QC folder and missing DR plan compound the impression of a founder who builds relationships but not systems. Capital deployed on a narrative, not evidence.

Mid-Market SaaS Modeled Scenario 4 Risks

The founder said the tech was bulletproof. It wasn't.

Workflow automation platform · $90M proposed EV · 6x ARR

$3.2M
Valuation adjusted
$2.5M
Escrow & reserves
4
Risks surfaced
3 days
Time to findings

What BLACK Found

  • Undisclosed open-source components with no license audit or SBOM
  • CTO manually controlled all deployments — no succession plan, no backup
  • No version-controlled data model, no ERD, no schema documentation
  • Disaster recovery plan existed on paper but had never been tested
  • QA automation and IP protections validated — confirmed as strengths
What the buyer gained

$2M escrow for OSS compliance. $500K succession reserve. Integration risk flagged before LOI. LOI finalized in 5 days instead of the typical 2–3 weeks. Estimated $1M in post-LOI remediation avoided entirely.

Without BLACK

OSS exposure discovered during confirmatory diligence triggers escrow renegotiation. CTO departure post-close creates 4-month integration delay. Undocumented data architecture doubles migration cost. Total exposure: $4M+ and a deal re-trade.

Industrial Manufacturing Modeled Scenario 6 Risks

The ERP was "proprietary." It was built on unassigned open-source code.

Automation components manufacturer · $200M proposed EV · 9.1x EBITDA

$6.95M
Valuation adjusted
$3.5M
Escrow & reserves
6
Risks surfaced
5 days
Time to findings

What BLACK Found

  • ERP platform built on third-party OSS with no IP assignment from contractors
  • Founder manually approved all supplier decisions — a single point of failure
  • No SPDX/SBOM or licensing audit for the open-source ERP base
  • ERP schema completely undocumented — no ERD, no version control
  • Disaster recovery plan not tested in 12+ months
  • QA checks existed but lacked consistent logging or review cadence
What the buyer gained

$3M escrow for IP/OSS remediation. $500K succession reserve. Structural risks priced into the LOI before legal entanglement. Estimated $750K+ in post-LOI remediation and months of timeline drag avoided.

Without BLACK

IP ownership dispute surfaces during legal review. Copyleft license in ERP base triggers mandatory code disclosure or $3M+ rewrite. Founder departure paralyzes supply chain. Deal collapses or reprices under duress post-LOI.

Business Services Modeled Scenario 4 Risks + 1 Watch

The "proprietary platform" was built by a contractor who never signed over the IP.

Compliance outsourcing firm · $108M proposed EV · 9x EBITDA

$3.15M
Valuation adjusted
$3M
Escrow & reserves
5
Posture issues
4 days
Time to findings

What BLACK Found

  • No signed IP transfer from the contractor who built the core platform
  • Two senior consultants handled all delivery — no backups, no transition plans
  • QA automation claimed but no coverage metrics, logs, or CI/CD pipeline
  • $80K/year in SaaS spend not linked to actual usage
  • Partial schema documentation existed but without version control
What the buyer gained

$2M escrow for IP chain resolution. $500K personnel reserve. $200K system hardening plan. Earnout clause tied to automation verification. Post-LOI diligence accelerated with validated posture baseline.

Without BLACK

Original contractor resurfaces with IP claim post-close. Key consultants depart during integration. "Automated" platform requires manual intervention on every client engagement. Buyer discovers they acquired a services company, not a software company.

Fintech Platform Modeled Scenario 6 Risks

"Proprietary AI" was a third-party library with no validation.

Billing & reconciliation platform · $180M proposed EV · 10x EBITDA

$6.04M
Valuation adjusted
$3M
Escrow & earnout
6
Risks surfaced
3 days
Time to findings

What BLACK Found

  • "Proprietary ML underwriting" was unvalidated third-party open-source code
  • Billing and reconciliation schema completely undocumented
  • "Bank-grade uptime" claim unverified — DR plan untested for 14 months
  • Multiple open-source billing modules with no SPDX or license review
  • No CI/CD pipeline or automated testing of any kind
  • Unused SaaS licenses with no utilization tracking
What the buyer gained

$2M escrow for OSS/DR remediation. $1M milestone earnout tied to SOC 2 and ML audit. AI premium stripped from valuation. IC approval shortened from 2 weeks to 4 days. Estimated $700K in diligence savings.

Without BLACK

Buyer pays a $180M AI premium for a product that doesn't contain proprietary AI. First SOC 2 audit post-close reveals the gap. Integration team discovers no schema documentation — data migration becomes a 6-month, $2M+ project. LP confidence eroded.

Retail Tech-Enabled Modeled Scenario 5 Risks

"Fully automated and omnichannel-ready" — with no data model and a single logistics provider.

E-commerce specialty retail · $95M proposed EV · 9.5x EBITDA

$4.6M
Valuation adjusted
$4M
Escrow & earnout
5
Risks surfaced
4 days
Time to findings

What BLACK Found

  • Claimed ML-driven inventory analytics with zero supporting artifacts
  • No ERD, no schema exports, no version-controlled data model
  • Single 3PL provider with no SLA, no backup, no failover plan
  • No disaster recovery testing or e-commerce failover documentation
  • Unused martech and analytics subscriptions eroding margin
What the buyer gained

$2M escrow for logistics redundancy. $2M earnout tied to DR and vendor SLA implementation. $500K in projected post-close savings from vendor renegotiation and SaaS cleanup. Founder began posture improvements during LOI drafting.

Without BLACK

3PL provider renegotiates terms post-acquisition — no backup in place. Holiday season outage with no DR plan costs $1M+ in lost revenue. Data migration fails because no one documented the schema. Buyer overpays for a narrative, not a platform.

Historical Retrospectives

What if BLACK had been in the room?

Three of the most consequential due diligence failures in recent history. Each one run through the BLACK protocol using only information that was knowable at the time — before the deal closed, before the fraud was public, before the loss was real.

BLACK doesn't claim to detect fraud — it prices the absence of evidence. These retrospectives model what a structured interview, evidence request, and posture analysis would have priced. Either the artifact was producible or it wasn't. The fraud is irrelevant to the protocol. View the full side-by-side timeline →
Healthtech Historical Retrospective 6 Risks

Theranos: $9 billion on a device that didn't work.

Blood diagnostics platform · $9B peak valuation · 2013–2015 investment rounds

$9B
Peak valuation
$600M+
Investor losses
6
Risks surfaced
< 72 hrs
Time to findings

What BLACK Would Have Found

Based on information knowable before the 2014 funding round.

  • Product Integrity: No. No peer-reviewed study, no independent lab audit, no FDA clearance. FAIL
  • Governance: No. Board: Kissinger, Shultz, Mattis, Nunn. Zero clinical or diagnostic expertise. FAIL
  • Financial Controls: Refused. Investor requested directly; never delivered. FAIL
  • Specs Coherent: No. Software iteration model applied to a clinical diagnostic device with patient safety implications. FAIL
  • Blockers Disclosed: Yes. NDAs enforced aggressively; no independent audit permitted. FLAG
  • Identity Verified: CEO identity and Stanford enrollment confirmed — PASS
BLACK protocol outcome

4 of 10 domains failed. 1 flagged. Evidence submission: 0 of 3 requested artifacts produced within 24-hour window. Posture score: maximum concealment. No reprice path.

What actually happened

Theranos deployed untested devices in Walgreens stores, producing inaccurate results using diluted samples run on competitors' commercial machines. The company dissolved in 2018. Elizabeth Holmes was convicted of fraud in 2022. Investors lost over $600 million. The core technology never worked.

Sources: MIT Sloan, WSJ (Carreyrou), NYT, Nixon Peabody LLP

Fintech / EdTech Historical Retrospective 5 Risks

Frank: JPMorgan paid $175M for 4 million users that didn't exist.

Student financial aid platform · $175M acquisition · 2021

$175M
Acquisition price
4.25M → 300K
Claimed vs. actual users
5
Risks surfaced
< 72 hrs
Time to findings

What BLACK Would Have Found

Based on information knowable before the September 2021 acquisition.

  • Asset Control: Refused. Founder cited user privacy. No direct database access or supervised audit permitted. FAIL
  • Specs Coherent: No. 4.25M users implies observable server costs, CS volume, marketing spend. P&L inconsistent. FAIL
  • Existence Verified: No. Third-party verification counted data fields, not users. FAIL
  • Blockers Disclosed: Yes. Competitive bid (Bank of America) cited to accelerate close. FLAG
  • Evidence Pack: None produced. Entire valuation rested on a single unverified number. FAIL
BLACK protocol outcome

3 of 10 domains failed. 1 flagged. Evidence submission: primary asset verification refused. Operational metrics contradict claimed scale. Posture score: active obstruction on core asset. Unverified asset = unverified valuation.

What actually happened

JPMorgan discovered post-acquisition that Frank had fewer than 300,000 real users — roughly 7% of what was claimed. Charlie Javice had paid a data scientist $18,000 to generate nearly 4 million synthetic customer profiles. A test marketing campaign showed only 28% email deliverability vs. JPMorgan's normal 99%. Javice was convicted of securities fraud, wire fraud, bank fraud, and conspiracy in March 2025.

Sources: ACFE, BDO Canada, Forensic Risk Alliance, ABC News, Fortune, NPR

Commercial Real Estate / Tech Historical Retrospective 7 Risks

WeWork: $47 billion valuation built on self-dealing and a made-up category.

Co-working / commercial real estate · $47B peak valuation · SoftBank investment 2017–2019

$47B → $9B
Valuation collapse
$1.9B
Net loss (2018)
7
Risks surfaced
< 72 hrs
Time to findings

What BLACK Would Have Found

Based on information knowable before the 2019 IPO filing — all from the S-1 and public reporting.

  • Blockers Disclosed: Yes. CEO leases personal real estate to company. CEO sold personal trademark for $5.9M. FAIL
  • Governance (a): No. 20:1 supervoting shares. Board oversight structurally impossible. FAIL
  • Governance (b): No. CEO's wife named as selector of replacement. FAIL
  • Financial Controls: No. $1.9B loss on $1.8B revenue. No unit economics in S-1. FAIL
  • Specs Coherent: No. Tech multiples applied to a commercial real estate sublease business. FAIL
  • Authority: Reports of executive-level misconduct. Cultural signals inconsistent with governance claims. FLAG
  • Existence Verified: Physical locations and revenue confirmed — PASS
BLACK protocol outcome

5 of 10 domains failed. 1 flagged. 1 passed. Self-dealing across 4 vectors documented in company's own filings. Posture score: founder-capture of governance. No reprice path — structural governance failure.

What actually happened

WeWork's IPO collapsed in September 2019 after the S-1 exposed governance failures visible for years. Valuation dropped from $47B to $9B. Adam Neumann was forced out with a $1.7B exit package. SoftBank wrote down over $10B. WeWork eventually went public at $8B in 2021, then filed for Chapter 11 bankruptcy in November 2023. Every risk above was knowable from the S-1 filing alone.

Sources: Fortune, Motley Fool, Yahoo Finance, Vox, The Corporate Governance Institute

The Pattern

Across every sector, the same categories of risk survive pitch decks, management presentations, and even preliminary diligence. BLACK finds them in 72 hours by asking the questions no one else asks before the LOI.

Most common risks
  • → Undocumented or unversioned data models
  • → Unverified IP and "proprietary" claims
  • → Open-source code with no license audit
  • → Disaster recovery plans that were never tested
  • → Founder bottlenecks with no succession plan
  • → QA automation that exists in narrative only
What changes for the buyer
  • → Price reflects reality, not narrative
  • → Escrow and reserves sized to actual exposure
  • → IC approval accelerated with evidence-backed memos
  • → Post-close surprises eliminated or pre-priced
  • → Negotiation leverage established before exclusivity
  • → Confirmatory diligence scope reduced by 40–60%
72h
Interview to memo
Zero
Access required
$3M–$7M
Typical adjustment
Binary
Evidence-grade posture memo

What's hiding in your next deal?

Engagements are reserved for sponsors with active deal flow.

Following qualification, we align on a fixed protocol. No open-ended consulting. No hourly billing.

Schedule a Call

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