Technical Due Diligence Engine
A code- and architecture-level diligence report — red/yellow/green risk heatmap across modules, dependency analysis, test-coverage and CI/CD posture, security vulnerability surface, and the operating-partner-readable summary of what the next twelve months of platform work will cost.
- Engagement
- 1–3 week sprint per target · packaged report
- Built for
- Deal teams · Operating partners · GP principals
Buying a software company means buying its codebase. Most diligence shops read the financials and the contracts; few can read the code itself and tell you what shipping that codebase on day 30 of ownership actually looks like.
What this is
A diligence engagement built around a single deliverable: an engineering-shop-quality assessment of the target's codebase, packaged for the deal team and operating partner who have to act on it.
The sprint runs against a fixed checklist so the deal team can compare across targets. The checklist evolves with the fund's experience — once an operating partner has read a few reports, they tell us what they wished was emphasized more, and the next version of the checklist incorporates it.
How it's built
Static analysis tooling (SonarQube-class) baseline, layered with manual review where the static signal is shallow. Dependency scanning (Snyk / OWASP-class). Architecture review by engineers who've shipped systems in the target's stack, not by analysts running scripts. The 60% of the work that's automatable is automated; the 40% that requires judgment is judgment-bearing.
What you get
- The six-section report (architecture · risk heatmap · dependencies · CI/deploy · security · twelve-month estimate).
- A partner-readable summary — three pages, no jargon.
- The risk heatmap as a structured dataset (rows: modules, columns: risk dimensions) so the operating partner can fold it into the post-close hundred-day plan.
- A reading session with the deal team to walk through the findings before close.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 1–3 week sprint per target · packaged report
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
- Same suite · Private Equity Suite
Deal-Sourcing Engine
A scoring pipeline that ingests structured (PitchBook-class) and unstructured (news, hiring, patents, alt-data) sources, applies your fund's thesis-specific filters, and ranks candidate targets — feeding your CRM with the top tier weekly.
- Same suite · Private Equity Suite
Diligence Red-Flag Engine
An AI-extraction-and-review layer that ingests the data room, surfaces the anomalies and the off-market clauses, benchmarks against comparable transactions, and screens beneficial ownership against sanctions and PEP lists — delivered as a risk heatmap the deal team works against.
What buyers ask about this one.
How is this different from a CTO consultant doing the same review?
Consultants do this work well. The engagement is shaped differently — a one-to-three-week sprint, a packaged report, the same diligence checklist applied across deals so the deal team can compare targets on a common axis. The consultant model produces a great report for one deal; this is built to scale across the deal pipeline.
What languages and stacks do you cover?
Python, TypeScript / JavaScript, Go, Java, Ruby, PHP, and the major framework variants of each. Mobile (Swift / Kotlin) on request. Where the target has an unusual stack (e.g., Erlang for a comms platform), we bring in specialist help and document where in the sprint that happens.
How do you handle code-access logistics during diligence?
Read-only data-room access is the default. Source code stays in the target's environment; we work inside it. NDA and access logging are standard. The output report references file paths and module names without exposing the code itself — it's reviewable by partners who don't have access.
What's in the report?
Six sections. (1) Architecture summary — what the system is and how it's structured. (2) Risk heatmap — modules graded R/Y/G with the reasoning. (3) Dependency analysis — third-party libraries, license obligations, end-of-life risk. (4) Test, CI, deploy posture. (5) Security surface — known vulnerabilities, configuration gaps, sensitive-data handling. (6) Twelve-month platform-work estimate, scoped to what the operating partner needs to plan.
Pricing?
Per-target, scoped to codebase size and language complexity. Discovery call covers both.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026