Technical Due Diligence in Days, Not Weeks.
audit/bench scans target codebases for security risk, technical debt, and talent concentration — turning a 3-week consultant engagement into a report you can act on before your next IC meeting.
Your deal team is flying blind on the codebase.
Every acquisition or investment in a software company comes with the same unanswered question: is the tech actually worth what's being claimed? Traditional technical due diligence means flying in consultants for 2–3 weeks, at a cost that only makes sense for the largest deals — leaving mid-market transactions to skip technical review entirely, or rely on a founder's word.
That gap is where deals go wrong. Hidden security vulnerabilities, single-developer dependency risk, and unmaintainable architecture don't show up in a financial model — but they show up in your first 90 days of ownership.
A risk report, not a bug list.
We scan the full target codebase using the same LLM + static analysis engine that reviews production pull requests for engineering teams — pointed instead at the entirety of a company you're about to acquire. Every finding is tied to a business impact, not just a technical description, so it's usable directly in your investment committee memo or deal terms negotiation.
Security exposure
Vulnerabilities, exposed secrets, and dependency/license compliance gaps in the target codebase.
Technical debt
A test-coverage read plus structural debt — circular imports, dead code, duplication — costed out in engineer-days.
Talent concentration risk
How dependent the codebase is on one or two developers, and where the bus factor is thin.
Architecture consistency
Whether the codebase reads as one coherent system or several styles stitched together — with cited examples, not a vibe.
Remediation estimate
Engineer-days and a dollar range to fix what we found, rolled up into one overall risk rating your IC can act on.
What actually happens inside one scan.
No black box — here's the real pipeline, in the order it runs. See the full engine methodology →
Full-repo ingestion
Connect a GitHub or GitLab repo (read-only) or upload a zip. Every source file gets scanned, and commit-level contributor stats are pulled directly from the provider’s own API — no local git-history walk.
Security & dependency scan
Static analysis plus LLM review on flagged code, known-vulnerability checks against your lockfile, and a license-compliance pass that flags GPL/AGPL/copyleft dependencies when your own codebase looks closed-source.
Test coverage read
A static, no-execution estimate — test-to-source file ratio, plus whether a coverage threshold and CI test step are actually configured. We never run a target company’s test suite on our infrastructure.
Architecture consistency
One LLM pass sampled across the codebase flags mixed state-management patterns, inconsistent conventions, and ad-hoc development — cited to real files, not a generic score.
Talent concentration
Contributor commit-share analysis surfaces bus-factor risk — the module one departing engineer would take the most knowledge out of — before it’s your problem.
Aggregation & scoring
Every category above rolls up into one weighted Overall Risk Rating and a remediation-cost estimate in engineer-days and dollars — deterministic math over real findings, not another LLM guess.
Engage at the stage that fits your process.
Priced per engagement, not as a monthly seat — pay once for the report you need on the deal in front of you.
A fast first-pass read on whether the tech merits deeper diligence.
A complete report built for your investment committee — security, debt, talent risk, and scalability, with remediation cost estimates.
Ongoing scanning through the holding period, so portfolio companies don’t quietly accumulate the same risks you just paid to identify.
Per-engagement, invoiced once — this is a diligence report, not a subscription product.
Built for speed. Priced for the deal size that usually gets skipped.
Days, not weeks
Automated scanning means turnaround measured in days for a screening read, not the 2–3 weeks a consultant engagement takes to staff and start.
Software, not just consultants
You’re buying a repeatable engine, not a pair of contractor hours — the same review depth every time, not whoever a boutique firm could staff that week.
Per-engagement pricing
$5,000–$20,000 per report, billed once for the engagement — not a monthly seat license you have to justify renewing.
Built on a production tool
The same engine already reviewing live pull requests for engineering teams, not a one-off diligence product assembled for this market.
NDA-first
Repo access is granted read-only and only after your NDA is signed. Credentials are encrypted at rest, and your code is never used to train any model — see our full Security & Trust page for the details.
See it before you need it.
Download a redacted sample report to see exactly what your investment committee would receive — findings, risk ratings, and remediation estimates, laid out the way your team already reviews deals.
Download Sample Report (PDF)Questions deal teams ask before they engage
What does a technical due diligence checklist cover?
A thorough technical due diligence checklist covers security exposure (vulnerabilities, exposed secrets), dependency and license compliance, test coverage and code quality, architecture consistency, and talent concentration risk. audit/bench’s report covers all five, plus a remediation cost estimate your IC can act on.
How much does technical due diligence cost?
Traditional consultant-led technical due diligence typically runs $50,000+ for a 2–3 week engagement, which is why it usually only happens on the largest deals. audit/bench prices it per engagement instead: $5,000 for a fast screening read, $12,000–$20,000 for a full report.
How long does technical due diligence take?
A traditional consultant engagement takes roughly 1–2 months once it moves past the LOI, including 2–3 weeks just to staff and start. audit/bench delivers a screening-tier read in 3–5 business days and a full report in 1–2 weeks, since the review runs automatically instead of waiting on contractor availability.
Do I need technical due diligence on a mid-market or small acquisition?
Yes — hidden security debt, single-developer dependency risk, and unmaintainable architecture don’t show up in a financial model regardless of deal size; they show up in the first 90 days of ownership. Mid-market deals skip technical diligence today mainly because a $50,000+ consultant audit doesn’t pencil out, not because the risk is smaller.
What is the difference between AI-powered and traditional technical due diligence?
Traditional technical due diligence is a manual engineering review staffed by consultants over 2–3 weeks. AI-powered technical due diligence — like audit/bench — runs an LLM-plus-static-analysis engine directly against the target’s repository, producing a comparable report in days at a fraction of the cost, using the same underlying signals: code, dependencies, commit history, and test coverage.
What red flags does a technical due diligence report typically uncover?
Common findings include unpatched critical vulnerabilities, copyleft (GPL/AGPL) dependencies in an otherwise proprietary codebase, a single developer responsible for most commits in a core module (bus-factor risk), thin test coverage on revenue-critical code paths, and inconsistent architecture suggesting ad-hoc development.
Have a deal in diligence right now?
Send us repo access under NDA and get a screening-tier report back within 5 business days.
Start a Technical Screening