In private equity and corporate M&A, financial and legal due diligence are non-negotiable. Quality of Earnings (QoE) reports scrutinize every recurring dollar, customer retention cohorts are audited down to the percentage point, and legal counsel dissects every customer contract.
Yet all too often, technical due diligence is treated as a check-the-box exercise. Generalist auditors circulate generic 40-question surveys to the seller’s CTO asking if they use CI/CD, if their code is in GitHub, and if they have a disaster recovery plan. When the target responds "yes" to all three, the investment committee signs off.
Three months post-close, the buyer discovers that the target’s "cloud-native microservices" share a single synchronous database instance with severe table locking, that core intellectual property contains copyleft GPL licenses, and that the platform cannot handle the 3x commercial growth forecasted in the investment thesis without a $750k rebuild.
1. The "Distributed Monolith" Trap
The most pervasive illusion in modern SaaS due diligence is the claim of a "scalable microservices architecture." Targets frequently containerize their applications in Docker and deploy on Kubernetes, presenting an impressive architecture diagram to prospective buyers.
However, when we inspect the underlying source code and database configurations during diligence, we frequently discover that every container connects to the same unpartitioned relational database with synchronous table-level locks. Downstream services execute cascading transactional queries across service boundaries.
This is not a distributed system; it is a distributed monolith. It combines all the complexity, network latency, and deployment friction of microservices with the single-point-of-failure fragility of a monolithic database. Under projected growth, scaling compute nodes merely increases database connection contention until the platform experiences cascading failure.
Containerization is not scalability. Microservices that depend on a shared relational database will hit severe performance walls under 3x to 5x post-close growth.
2. Open-Source Licensing Liabilities (IP Contamination)
Acquirers buy technology companies primarily for their proprietary intellectual property. Yet during code-level audits, we frequently discover copyleft open-source libraries — specifically GPL v3, AGPL, and modified LGPL dependencies — statically linked into proprietary backend code.
Under strict copyright law, incorporating copyleft dependencies into a proprietary codebase can create legal obligations to open-source the entire proprietary codebase or face infringement claims. In M&A transactions, discovering license contamination pre-close allows buyers to negotiate remediation escrows or require the seller to rewrite contaminated modules prior to signing.
Copyleft open-source licenses (GPL/AGPL) inside proprietary code can compromise IP exclusivity. Automated license scanning must be verified against actual build dependencies.
3. Quantifying Technical Debt for the Investment Committee
The deliverable of technical due diligence should not be an abstract score or a list of syntax complaints. It must translate engineering findings into direct financial consequences for the deal team.
For every critical finding — unmanaged cloud spend, missing failover mechanisms, key-person dependency, or architectural debt — Anubis calculates an itemized remediation cost. We estimate the engineering person-hours, consulting fees, and timeline required to bring the platform up to institutional grade.
In a recent $28M SaaS acquisition, our diligence report identified $650,000 in mandatory database and infrastructure remediation. Armed with these findings, the buyer negotiated a $1.2M escrow holdback, protecting their downside and securing the resources needed to execute our 100-day stabilization roadmap.
Technical due diligence should work for the buyer, not the deal. By combining automated repository profiling with hands-on architectural inspection, investors protect their capital and ensure the technology they acquire can deliver on the investment thesis.