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What We Look for During Technical Due Diligence of a Software-Enabled Business

What We Look for During Technical Due Diligence of a Software-Enabled Business
All TopicsBusinessPrivate EquityJune 23, 2026

What We Look for During Technical Due Diligence of a Software-Enabled Business

Many acquisition targets are not pure software companies, but their operations, growth plans, customer experience, compliance posture, and margins may still depend heavily on technology. Technical due diligence should uncover where the platform supports the investment thesis, where it creates risk, and what needs to be addressed after close. Sharp Logica evaluates architecture, engineering capacity, AI claims, operational maturity, cloud cost, roadmap credibility, and key-person dependency so investors can understand what they are really acquiring.

What We Look for During Technical Due Diligence of a Software-Enabled Business
All Topics | Business | Private Equity
June 23, 2026

What We Look for During Technical Due Diligence of a Software-Enabled Business

Many acquisition targets are not pure software companies, but their operations, growth plans, customer experience, compliance posture, and margins may still depend heavily on technology. Technical due diligence should uncover where the platform supports the investment thesis, where it creates risk, and what needs to be addressed after close. Sharp Logica evaluates architecture, engineering capacity, AI claims, operational maturity, cloud cost, roadmap credibility, and key-person dependency so investors can understand what they are really acquiring.

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What PE Firms Miss When Technical Diligence Gets One Paragraph
All Topics | Architecture | Private Equity
May 7, 2026

What PE Firms Miss When Technical Diligence Gets One Paragraph

Private equity firms reprice financial risk all the time, but technical risk often gets reduced to a short paragraph in the investment committee memo. That can be expensive.
A software platform may look stable during the deal process while hiding immature AI features, untested scalability, key-person dependency, roadmap pressure, and architectural limits that only become visible after close.

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