Institutional Capital Infrastructure

Code risk.
Quantified.
Defensible.

STRATUM translates architectural complexity into financial exposure — deterministic, on-premise, and board-ready in 48 hours. Built for the decisions that move capital, not the engineers who write code.

8-fig
Material exposure found in complex acquisitions
48h
Board-ready report delivered
Zero
Data leaves your perimeter
Entry Wedge · Post-Close Audit · Recurring ARR

One platform.
Three distinct engagements.

The first deterministic, on-premise code risk infrastructure
built for institutional capital.

Not a security scanner. Not a dev tool. An institutional-grade engine that translates architectural complexity into quantified financial and operational risk — for boards, funds, and deal teams. Material exposure frequently exceeds eight figures in complex acquisitions.

Fully on-premise · no data leaves Board-ready output · not bug lists Risk in €€€ · not CVE counts 48h delivery · any codebase size
01 / PRIMARY ENTRY WEDGE

Pre-Acquisition
Due Diligence

Before you buy the company — scan the code.

  • Hidden architectural risk quantified in €€€, not bug counts
  • Undocumented dependencies and hidden SPOFs mapped
  • Technical debt exposure with time-to-crisis estimation
  • Compliance & security liabilities (AI Act, GDPR, OWASP)
💰 Entry wedge: PE funds, strategic acquirers, deal teams — high-ticket, deal-value aligned, no competition from existing tools
8-fig+
Material exposure in complex acquisitions
48h
Full report delivery
High-ticket
Per engagement — deal-value aligned
0
Data leaves your perimeter
// Sample output — deal report
Auth service exposure €8.4M · 12 deps
Payment compliance gap €5.1M · PCI + GDPR
Debt velocity +21% YoY · systemic
Total quantified exposure €18.2M
Deal status Price adjusted ↓
02 / POST-CLOSE AUDIT

Post-Acquisition
Integration Audit

After you buy it — validate what you actually bought.

  • Architectural drift detected between target and acquirer systems
  • Integration risks scored before systems are merged
  • Real risk scoring — not consultant guesswork
  • Legacy hotspots identified and prioritized for remediation
🎯 Why here: This is where STRATUM becomes indispensable — the 30-day post-close window nobody has visibility into
30 days
Critical post-close window
Significant
Engagement value — complexity-driven
80%
Integration risks missed by trad. DD
100%
On-premise, air-gap capable
// Sample output — integration report
Service conflict clusters 7 critical conflicts
Legacy debt density 34% legacy codebase
Migration timeline est. 14–22 months
Remediation cost est. €6.8M
Priority hotspots 3 kill, 4 refactor
03 / RECURRING REVENUE UPSELL

Continuous Architecture
Monitoring

For CTOs who don't want surprises.

  • Detect architectural degradation before it becomes an incident
  • Risk trend forecasting — where will you break in Q3?
  • Architecture health scoring (board metric, not developer dashboard)
  • Monthly board-level reporting with drift velocity and hotspot evolution
🔁 ARR upsell: Monitoring converts deal wins into long-term recurring contracts — structural near-zero churn once embedded in the portfolio
High ACV
Annual contract — near-zero churn
120%+
Net revenue retention
Monthly
Board-ready health reports
~0%
Churn (switching cost = full re-audit)
// Sample output — monthly health report
Architecture health score 72/100 (↓4 pts)
Drift velocity +8% MoM · watch
AI code accumulation +14% this quarter
Risk forecast Q3 Auth hotspot critical
Board summary Ready for export
Process

How it works

Deterministic, repeatable, on-premise. Same input always produces the same output.

01

Secure On-Premise Access

Code never leaves your environment. No cloud uploads, no third-party access. PE firms require this — we built for it.

02

Deep Code Analysis

Structural analysis that understands how code actually works — not just what it says. Dependencies, coupling, decay patterns.

03

Risk Quantification

Architectural risk translated into financial exposure in €€€. Board language, not developer language.

04

Board-Ready Report

40-page dossier with quantified exposure, dependency maps, compliance gaps, and remediation roadmap.

Output

Not a vulnerability list.
A risk translation.

Traditional tools say "187 vulnerabilities." STRATUM says "€18M material exposure in Auth/Payments — 12 critical services affected, deal price adjusted."

STRATUM — Analysis Report
Deterministic · On-Premise
// Findings — architecture risk
CRITICAL Auth Service — Monolithic coupling, 12 downstream dependencies. Blast radius: €8.4M. Mean risk age: 3.4 years.
HIGH Payment Processing — PCI-DSS compliance gap detected. GDPR data handling violation. Exposure: €5.1M.
HIGH Technical Debt Velocity — +21% YoY accumulation. Systemic pattern. Forecast: €4.7M remediation in 18 months.
MEDIUM AI Code Inconsistency — 43% of codebase AI-generated, cross-model hallucination patterns detected.
// total quantified exposure
€18.2M
// Board-level summary
analysis_target AcquisitionCo v2.1
target_company AcquisitionCo · Series C
total_exposure €18.2M
critical_findings 4 critical
compliance_gaps GDPR · PCI-DSS · AI Act
ai_generated_code 43% of codebase
debt_velocity +21% YoY
delivery_mode on-premise · no data shared
data_exfiltration ZERO
report_format Board PDF · 40 pages
recommendation Adjust deal price ↓
Live Demo

Live Architectural
Knowledge Graph

This is what STRATUM sees when it scans your acquisition target. Every service, dependency, and risk cluster — mapped and scored. Drag nodes, explore the coupling patterns, trigger the risk analysis sequence.

01 / Structure

Dependency Map

Every service is plotted with its full dependency chain. The most connected nodes are your blast radius centers — where one failure cascades everywhere.

02 / Risk

Risk Per Service

Each service is scored by business impact — coupling, decay, compliance exposure. The output is financial exposure in €€€, not a technical score.

03 / Output

Board-Ready Risk Report

Every graph insight maps to file paths, commit history, and €€€ financial exposure. The output is a 40-page board-ready dossier, not a developer dashboard.

STRATUM | ARCHITECTURAL KNOWLEDGE GRAPH
SIMULATED SCAN — REPRESENTATIVE ENTERPRISE CODEBASE
⬤ Drag nodes    ◎ Scroll to zoom    ⣿ Pan background
Zoom: 100%
Architectural Risk Analysis
⚠ Critical Finding
High-Risk Concentration
Critical risk is clustered around Auth and Payment modules — systems with the highest downstream blast radius.
— nodes
◈ Structural Pattern
Orphan Modules Detected
Modules with no inbound dependencies — undocumented logic, dead weight, or hidden entry points.
— modules
⬡ Coupling Alert
Critical Coupling Points
Nodes with 8+ connections act as architectural chokepoints — a failure here cascades across the system.
— chokepoints

This is a simulated graph. In a real STRATUM analysis, every insight maps to file paths, commit history, and financial exposure.

🕸
Blast Radius Mapping

Services used by many others are flagged immediately. A failure here cascades — STRATUM shows you exactly how far and how expensively.

🔐
Predictive Security & Compliance Risk

Security layer nodes flagged orange carry regulatory exposure that propagates to every downstream dependent.

🤖
AI Code Risk Detection

AI-generated code now makes up 40–70% of enterprise codebases. STRATUM detects governance gaps before they become liabilities.

📈
Temporal Drift Analysis

Risk accumulation over time is tracked per-node — revealing where architectural decay is accelerating.

Why STRATUM

What makes it different

🔒
Fully On-Premise

No code leaves your perimeter. Air-gap capable. Critical for M&A confidentiality — PE firms cannot upload acquisition target source code to a SaaS vendor. STRATUM runs inside your infrastructure.

⚙️
Deterministic Output

Same input always produces the same output. Not AI-guesswork or probabilistic scanning. Deterministic analysis you can present to a board, a court, or an investment committee.

💰
Financial Risk Language

We don't say "187 vulnerabilities." We say "material 8-figure exposure in Auth/Payments, 12 services affected, 3.4yr mean risk age." Board-level language, not developer dashboards.

Traditional DD vs STRATUM
Method
Interviews & sampling
Narrative risk description
Probabilistic assessment
Subjective findings
Partial codebase coverage
Developer-level output
Traditional DD
Deloitte · McKinsey · Big 4
Interviews & document review
Narrative, non-quantified risk
AI / probabilistic assessment
Subjective, consultant-dependent
Sampling — not full analysis
Vulnerability counts & CVE lists
STRATUM
Deterministic code graph analysis
Quantified financial exposure
Deterministic — same input, same output
Repeatable, auditable, defensible
Full codebase coverage, every file
Board-ready report in 48 hours
Client Profile

Who We Serve

STRATUM is not a product for developers. It is institutional infrastructure for capital decision-makers who require deterministic evidence before committing — or after closing.

🏦
Primary Client

Private Equity Funds

Lower mid-market and mid-cap funds acquiring technology-enabled businesses. Deal teams require code-level validation before IC approval. STRATUM delivers the technical component of investment thesis stress-testing.

Pre-IC validation LOI support Price adjustment evidence
🏢
Secondary Client

Strategic Acquirers

Corporate M&A teams acquiring technology assets or tech-enabled competitors. Integration risk must be quantified before close. STRATUM maps architectural incompatibilities and migration cost exposure before merger execution.

Integration risk Migration cost Architecture compatibility
📊
Exit Preparation

CTOs Preparing for Exit

Technology leaders preparing portfolio companies for sale. Proactive STRATUM assessment surfaces hidden liabilities before a buyer's DD team does — enabling remediation, narrative control, and price protection.

Pre-sale audit Liability remediation Valuation defense
⚖️
Governance

Enterprise Boards

Boards of technology-heavy companies requiring systematic architectural transparency. Regulatory pressure, AI Act compliance, and fiduciary responsibility increasingly demand quantified technical risk as a board-level metric.

Fiduciary compliance AI Act readiness Board-level reporting
Market Context

A structural gap in a multi-trillion market

Technical due diligence has not evolved at the pace of the software stacks it is meant to evaluate. The infrastructure layer for institutional code risk does not yet exist as a standard — STRATUM is building it.

~€3.5T
Global M&A transaction volume annually
The majority of transactions above €50M involve a technology component requiring technical validation.
40–70%
Of enterprise codebases now contain AI-generated code
AI-generated code introduces undocumented dependencies and governance gaps invisible to traditional review methods.
0
Deterministic infrastructure-level validation standards exist today
No institutional standard for code-level risk quantification currently exists in the M&A market. This is the gap STRATUM occupies.
Regulatory pressure accelerating — AI Act, DORA, GDPR enforcement
Incoming regulatory frameworks impose board-level accountability for software architecture decisions, creating mandatory demand.

"Technical due diligence is currently conducted via interviews, sampling, and consultant narrative. No capital committee receives deterministic, reproducible, quantified architectural evidence. STRATUM is the first infrastructure to change that."

Commercial Model

Three engagement types.
One infrastructure.

STRATUM operates as deal infrastructure — not a subscription tool. Engagements are structured around capital events, with a natural progression from one-time validation to recurring institutional contract.

01

Technical Due Diligence

A single, time-bounded engagement triggered by an acquisition event. Delivered on-premise, within 48 hours of codebase access. Output is a board-ready dossier with quantified exposure and investment impact assessment.

StructureOne-time engagement
Timeline48h delivery
TriggerPre-LOI / Pre-close
PricingPer engagement
02

Architectural Monitoring

Recurring analysis for post-acquisition portfolio companies or CTOs requiring continuous architectural visibility. Delivered as a board-ready health report on a quarterly or biannual cadence. Converts deal wins into long-term ARR.

StructureRecurring contract
CadenceQuarterly / biannual
TriggerPost-acquisition or ongoing
PricingAnnual contract value
03

Enterprise On-Prem License

For large PE funds or corporate M&A teams conducting multiple acquisitions annually. STRATUM is deployed permanently within the client's infrastructure, enabling internal teams to run analyses independently across their portfolio.

StructureAnnual license
DeploymentClient infrastructure
TriggerPortfolio-level volume
PricingEnterprise contract
Defensibility

Why this cannot be
replicated with AI tools

The category of tool that can replace STRATUM does not exist. The reason is architectural, not competitive — the design constraints of institutional capital are fundamentally incompatible with probabilistic, cloud-based AI scanning.

01

Deterministic structural parsing

STRATUM constructs a full dependency graph from source — not a probabilistic summary. Same input, same output, every time. AI-based scanners produce different results on repeat runs. That is disqualifying for a capital committee.

AI tools: probabilistic, non-reproducible STRATUM: deterministic, auditable, court-defensible
02

Full repository graph modeling

LLM-based tools analyze files in isolation — context windows are finite, cross-file dependency chains are invisible. STRATUM models the entire codebase as a connected graph, capturing systemic risk that file-level analysis structurally cannot see.

AI tools: file-level, context-window limited STRATUM: full repository graph, no truncation
03

Offline-first enterprise architecture

PE firms and corporate M&A teams operate under strict data governance. Uploading acquisition target source code to any external API — including AI vendors — is a breach of NDA and deal confidentiality. STRATUM runs entirely on-premise. There is no alternative design that institutional capital will accept.

AI tools: cloud-dependent, data transmitted STRATUM: air-gap capable, zero data transmission
04

Designed for capital committees

Developer tools output CVE counts, vulnerability lists, and OWASP scores. Investment committees require financial exposure in €€€, blast radius narratives, deal impact language, and board-ready formatting. These are different products serving different decision-making contexts — and cannot be retrofitted from one to the other.

Dev tools: technical output, developer audience STRATUM: financial language, capital audience
Decision Flow

From scan
to capital decision.

Every STRATUM engagement follows the same four-stage sequence — from code access to investment committee input. The output at each stage is designed for a different stakeholder: technical lead, deal partner, investment committee, board.

01
Stage 1

Scan

On-premise deployment. Full codebase ingestion. Deterministic dependency graph constructed across all services, modules, and data layers. No sampling. No summarization.

Output → Complete architectural graph · 100% codebase coverage
02
Stage 2

Quantified Risk

Each node scored by structural risk, coupling density, decay velocity, and compliance exposure. Risk translated from technical indicators into financial exposure estimates. Hotspots ranked by blast radius.

Output → Financial exposure by service · Compliance liability map
03
Stage 3

Investment Impact

Risk findings translated into deal implications — purchase price adjustment rationale, integration cost estimates, post-close remediation timeline, and scenario modeling for deferred liability. Language calibrated for IC presentation.

Output → Price adjustment evidence · IC-ready risk narrative
04
Stage 4

Decision Support

Board-ready 40-page dossier delivered within 48 hours. Structured for three audiences simultaneously: technical lead (appendix), deal team (executive summary), investment committee (financial exposure overview). Deterministic — defensible in any post-closing dispute.

Output → Board dossier · Delivered in 48h · Repeatable on demand
// Start with a free pilot

Scan before you
commit.

We offer a free pre-acquisition scan for one deal in your current pipeline. No data leaves your perimeter. Board-ready report delivered in 48 hours.

On-premise only · No data shared · 48h delivery · Board-ready report included