QA & Release Assurance

Technical Due Diligence Software & Code Audits

Independent technical audits for VCs, private equity and acquirers. Senior engineers evaluate architecture, security risks, AI dependencies and genuine IP ownership.

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Who commissions our technical audits

You need to verify that a target company's software is secure, scalable, and legitimately owned before committing capital, but your internal team lacks the bandwidth or specialist knowledge to audit the code.

  • Venture capital funds conducting startup tech due diligence audits before Series A or growth-stage investments
  • Private equity firms assessing platform stability, technical debt, and cloud costs during buyouts
  • Corporate acquirers verifying IP ownership and engineering maintainability for m&a software audit processes

Audit dimensions across the technology stack

How senior engineers dissect target systems during technical due diligence software assessments.

  • Codebase & IP integrity

    • Verification of proprietary intellectual property and commit author histories
    • Detection of restrictive open-source licenses like GPL that compromise commercial ownership
    • ai code due diligence to separate core innovations from boilerplate and generated scaffolds
    • Code maintainability metrics, test coverage, and modularity for future engineering teams

  • Architecture, data & security

    • Authentication, session management, and role-based access control soundness
    • Database schema efficiency, query indexing, data isolation, and backup procedures
    • API security, input validation, rate limiting, and third-party webhook handling
    • Payment gateways, tokenization, and compliance with data privacy standards
    • Secrets management, environment isolation, and leak prevention in version control

  • DevOps & operational infrastructure

    • Cloud infrastructure topology, container orchestration, and multi-region resilience
    • Deployment automation, CI/CD pipeline reliability, and rollback mechanisms
    • Production monitoring, error reporting, observability, and incident response readiness
    • Current cloud hosting expenditure, license overhead, and projected scaling costs

Rigorous code and architecture audits before funding or acquisition

We provide independent technical due diligence software audits for venture capital firms, private equity funds, and acquiring companies evaluating target tech acquisitions. In an era of AI-generated code and rapid prototyping, inspecting whether software is maintainable, secure, and legitimately owned is critical before closing an investment. Senior engineers audit target codebases, reviewing cloud architecture, testing coverage, dependencies, third-party licenses, and operational risks. We analyze code quality, evaluate whether AI coding tools introduced hidden architectural debt or intellectual property risks, and examine data security, authentication, and payment workflows. You receive an objective investor technical audit report detailing vulnerabilities, technical debt, and required remediation costs so your investment committee can make informed decisions with full visibility.

AI-assisted scanning, expert-led technical due diligence

How AI assists

  • Running static analysis, dependency scanning, and license compliance audits across repositories rapidly
  • Detecting code duplication, cyclomatic complexity spikes, and unreferenced legacy libraries
  • Summarizing commit histories, pull request patterns, and test execution reports for reviewer evaluation
  • Cross-referencing declared third-party packages against public vulnerability and CVE databases

What our experts own

  • Senior engineers evaluate system architecture, cloud topology, database integrity, and genuine scalability
  • Specialists conduct ai code due diligence to verify proprietary IP originality versus generated scaffolding
  • QA and security leads manually inspect auth schemes, data boundaries, secrets handling, and payment logic
  • Lead engineers interview key technical staff, evaluate maintenance risks, and draft the final audit report

Audit areas

What we evaluate during technical due diligence

  • Architecture & scalability review

    Analysis of cloud hosting, microservices or monolith structure, database schema efficiency, and capacity to handle growth under load.

  • AI code due diligence & IP verification

    Investigation of AI-generated code, prompt dependencies, model licensing, training data provenance, and genuine proprietary IP ownership.

  • Security & vulnerability audit

    Inspection of authentication, authorization, API endpoints, encryption standards, secrets management, and exposure to common exploit vectors.

  • Code quality & maintainability

    Evaluation of codebase organization, test coverage, technical debt, documentation clarity, and how easily new developers can onboard.

  • Open-source license compliance

    Scanning dependencies for restrictive copyleft licenses, unmaintained packages, or licensing conflicts that jeopardize commercial rights.

  • Infrastructure & DevOps resilience

    Assessment of deployment pipelines, disaster recovery readiness, container setups, monitoring, logging, and operational infrastructure costs.

How a technical due diligence audit runs

  1. 01

    Access & repository intake

    Under an NDA, we secure read-only access to repositories, architecture diagrams, cloud environments, and documentation.

  2. 02

    Automated scans & deep inspection

    Automated tools scan dependencies and vulnerabilities, while senior engineers review core workflows, data schemas, and IP.

  3. 03

    Founder & engineering interviews

    We interview the target team to evaluate development practices, deployment cadences, key person dependencies, and roadmap feasibility.

  4. 04

    Report delivery & briefing

    We deliver a comprehensive investor technical audit report and host a debriefing call to walk your deal team through all critical findings.

Two ways to work with AI tools

AI helps draft tests and investigate defects. Choose where it may process your code and test data.

Not sure? We'll recommend one during scoping. Compare AI delivery options

Typical due diligence engagements

Typical scenarios we scope, not client case studies.

  • Pre-seed to Series A startup tech audit

    A venture capital fund needs to verify whether a startup's proprietary algorithm is genuinely custom code or thin wrappers around third-party APIs. We audit the repository, verify IP boundaries, and assess architecture readiness for growth.

  • M&A software audit for an acquisition

    A corporate buyer acquiring a SaaS product needs to evaluate technical debt, open-source license compliance, and cloud hosting spend. We deliver an itemized report highlighting critical security fixes and refactoring requirements.

  • AI-generated codebase health check

    An investor is backing a fast-shipping team that used AI coding agents to produce an MVP. We audit test coverage, error handling, database locking, and security practices to ensure the product is enterprise-ready.

What is outside a technical audit

  • Financial, tax, and corporate legal due diligence are handled by your legal and accounting advisors; we focus strictly on software, code, and infrastructure.
  • Commercial market sizing, competitive landscape analysis, and customer reference calls belong to commercial due diligence, not engineering audits.
  • Hands-on remediation and rebuilding discovered flaws are scoped separately under our QA, DevOps, or Software Development services after deal completion.
  • We deliver objective risk assessments and engineering evaluations, but we do not provide legal warranties or legal opinions on patent disputes.

Why investors and acquirers rely on our audits

  • Unbiased engineering insight

    Our senior engineers independently evaluate target codebases without sales bias, delivering an honest appraisal of true technical assets.

  • Clear technical debt quantification

    We translate architectural bottlenecks and sloppy engineering into realistic remediation budgets and timelines before deal closing.

  • AI and vibe-coding risk detection

    We identify brittle apps built with AI generators that look polished in demos but lack basic error handling, security, or clean data layers.

  • Actionable investor reports

    You receive an executive summary for your investment committee alongside itemized technical findings for engineering post-merger integration.

FAQ

Frequently asked questions

How long does a technical due diligence audit take?

A typical audit takes between one and two weeks depending on the size of the codebase, number of repositories, and depth of infrastructure to review. We agree on the timeline and scope before beginning work so your deal team stays on schedule.

What is an ai code due diligence review?

It is an audit focused on applications built with AI coding assistants or vibe-coding platforms. We verify genuine intellectual property ownership, test whether the architecture handles edge cases and scale, and check that critical security, auth, and payment logic was properly implemented rather than glossed over by AI generation.

Do you sign non-disclosure agreements before reviewing code?

Yes. All due diligence audits begin with a mutual non-disclosure agreement. We work with read-only access in secure environments and ensure sensitive code, architecture details, and business data remain strictly confidential throughout the evaluation.

How does this audit help during M&A negotiations?

An m&a software audit identifies hidden security flaws, proprietary IP liabilities, and technical debt that would require costly refactoring post-close. Having an independent investor technical audit report gives your acquisition team clear leverage to adjust valuation, escrow terms, or closing conditions.

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Evaluating a tech acquisition or investment?

Share your deal timeline and repository scope. We will propose an audit plan and deliver a clear investor technical audit report before you close.

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