Selected M&A Due Diligence Engagements
Explore five representative buy-side and carve-out software forensics engagements. Each dossier includes empirical repository metadata, financial underwriting adjustments, and an embedded PDF executive audit memo.
Home Assistant Core: Open-Source Home Automation Platform
Sponsor: Undisclosed — Buy-Side Technical Advisory
Scope: Strategic Acquisition Technical Due Diligence
Engagement: Strategic Acquisition Advisory
934 MB of almost exclusively Python across 3,400+ active integrations — the most contributor-dense Python OSS project on GitHub.
Asyncio-first architecture with extensive third-party device driver surface creating material security and key-person risk across 3,400+ community-maintained modules.
Elasticsearch: Distributed Search & Analytics Engine
Sponsor: Undisclosed — Buy-Side Technical Advisory
Scope: Enterprise Platform Technical Due Diligence
Engagement: Enterprise Platform Advisory
1.8 GB codebase spanning Java, C++, Groovy, and TypeScript — a 16-year-old, enterprise-grade distributed search engine.
6,200+ open issues revealing deep complexity surface; dual SSPL/Elastic Licence 2.0 ambiguity creates material IP risk for acquirers embedding in SaaS offerings.
Grafana: Observability & Data Visualisation Platform
Sponsor: Undisclosed — Growth Equity Technical Advisory
Scope: Growth-Equity Round Technical Due Diligence
Engagement: Growth Equity Advisory
2 GB polyglot codebase balancing TypeScript frontend and Go backend across 23 languages — one of the most complex open-core SaaS platforms on GitHub.
AGPL-3.0 open-core licence with Grafana Enterprise closed-source extensions creating material IP boundary contamination risk for acquirers.
Terraform: Infrastructure-as-Code Platform
Sponsor: Undisclosed — Strategic Acquisition Advisory
Scope: Strategic Acquisition Technical Due Diligence
Engagement: Strategic Acquisition Advisory
20M bytes of pure Go implementing the world's most deployed infrastructure-as-code engine across every major cloud provider.
44,500+ stars; BSL-1.1 relicence from MPL-2.0 in August 2023 created an industry-wide fork event (OpenTofu) — material IP and community risk for any acquirer.
vLLM: High-Throughput LLM Inference Engine
Sponsor: Undisclosed — AI Infrastructure Investment Advisory
Scope: Series B Buy-Side Technical Due Diligence
Engagement: Series B AI Infrastructure Advisory
79M bytes of Python, Rust, CUDA C++, and CMake — an AI inference engine operating at the hardware-software boundary across GPU memory management, custom CUDA kernels, and distributed tensor parallelism.
Explosive 18-month growth trajectory (founded 2023); Apache-2.0 licensed with deep CUDA and Triton kernel complexity requiring specialist GPU systems expertise to audit.
Company names, proprietary code symbols, and sensitive partner data in these sample cases have been modified or sanitized in compliance with bilateral non-disclosure agreements. Full unredacted diligence dossiers and repository DAG topologies are presented in person to authorized deal teams upon execution of engagement letters.