In private equity, technology is no longer a back-office function - it is the single largest driver of value creation and the most common source of hidden risk. Whether you are acquiring a SaaS platform, a fintech company, or a manufacturing business with a growing digital footprint, the quality of the technology under the hood directly affects what the business is worth, how quickly it can scale, and how much it will cost to fix what is broken.

Yet too many PE firms still treat technology due diligence as a formality - a surface-level review conducted late in the deal process, focused on confirming what management already told them. The result? Post-acquisition surprises that erode returns: infrastructure that cannot scale, security vulnerabilities that demand immediate capital, technical debt that slows product development to a crawl, and key-person dependencies that put the entire engineering function at risk.

At Altimi, we have completed 50+ technical due diligence projects for PE and VC firms across Europe, supported 15+ successful exits, and delivered €15M+ in infrastructure cost savings for portfolio companies. This article distils our experience into the eight areas that consistently determine whether technology adds to valuation - or subtracts from it.

Why Technology Due Diligence Matters More Than Ever

The days when a PE firm could evaluate a technology company based on financials and market positioning alone are over. Technology is the product, the delivery mechanism, and the cost structure - often all at once. A codebase riddled with technical debt can make it impossible to ship new features at the pace the growth plan requires. An architecture that was built for 10,000 users may buckle at 100,000. A security breach six months after closing does not just cost money - it destroys customer trust and damages the brand the investment thesis is built on.

Thorough tech DD is not about finding reasons to walk away. It is about understanding the true cost of ownership, pricing risk accurately, and building a post-acquisition roadmap that turns technology from a liability into a competitive advantage. Every finding in a tech DD translates into a financial impact: a remediation cost, a timeline adjustment, a valuation modifier, or a value creation opportunity.

The 8 Areas That Determine Valuation

1. Architecture and Technical Debt

Architecture is the blueprint of the entire technology asset. It determines how well the system can scale, how easily it can be modified, and how much it costs to operate. A well-designed architecture is modular, loosely coupled, and built to evolve. A poorly designed one creates compounding costs as the business grows.

What to assess: review the system’s overall design for scalability and modularity. Identify monolithic components that resist change. Evaluate whether the architecture supports the growth assumptions in the investment thesis - can it handle 2x, 5x, or 10x the current load without a rewrite? Quantify technical debt - the accumulated shortcuts and deferred maintenance in the codebase - and estimate the cost and timeline to address it.

Valuation impact: high technical debt acts as a hidden liability. We have seen targets where the remediation cost of accumulated debt amounted to 15–25% of the acquisition price. Conversely, a clean, modular architecture can justify a premium because it reduces future development costs and accelerates time-to-market for new features.

2. Code Quality and Engineering Practices

Code quality is the most tangible indicator of engineering discipline and long-term maintainability. It encompasses not just how clean the code is, but the processes around it: testing, code review, documentation, and release management.

What to assess: analyse code complexity, duplication, and maintainability using static analysis tools. Review test coverage - not just the percentage, but the quality and relevance of the tests. Evaluate the maturity of the CI/CD pipeline: how automated is the path from code commit to production deployment? Examine documentation quality - can a new engineer understand the system without months of tribal knowledge transfer? Assess deployment frequency and release management practices as indicators of engineering velocity.

Valuation impact: low code quality and weak engineering practices translate directly into slower feature development, higher bug rates, and increased operational costs post-acquisition. Organisations with mature CI/CD, high test coverage, and clean code can ship features faster - which is exactly what a PE growth plan demands.

3. Security and Compliance Posture

Security is a binary risk in PE: either the target has a credible security programme, or it has an unquantified liability sitting in the balance sheet. Regulatory requirements like GDPR, NIS2, and the EU AI Act make this even more consequential for European acquisitions.

What to assess: conduct a vulnerability assessment against OWASP Top 10. Review data protection and encryption standards. Evaluate access control and authentication mechanisms - are production credentials properly managed, or shared informally? Assess backup and disaster recovery capabilities. Review compliance readiness for relevant standards (ISO 27001, SOC 2, PCI-DSS). Investigate the target’s security incident history and response procedures.

Valuation impact: unresolved security vulnerabilities are deal-breakers or significant valuation adjusters. SOC 2 Type II or ISO 27001 certification, on the other hand, can enhance valuation by reducing buyer risk perception and enabling sales into enterprise and regulated markets. The cost of achieving SOC 2 Type II from scratch typically ranges from €45,000 to €85,000 and takes three to six months - a figure that should be factored into the model if the target lacks it.

4. Scalability and Infrastructure Costs

The target’s infrastructure must be evaluated against the growth trajectory the investment thesis assumes. A system that works at current load may be fundamentally unable to support the 3–5x growth a PE firm expects within the hold period.

What to assess: review current performance benchmarks and bottlenecks. Assess infrastructure capacity and growth headroom. Conduct or review load testing results to understand stress limits. Model cost projections for 2x, 5x, and 10x user growth - do infrastructure costs scale linearly, or exponentially? Evaluate auto-scaling capabilities and cloud architecture efficiency. Analyse the current cloud spend for optimisation opportunities.

Valuation impact: infrastructure that scales efficiently supports the growth thesis. Infrastructure that requires a costly re-architecture to scale introduces both capital expense and timeline risk. Cloud cost optimisation alone frequently delivers 30–50% savings - a direct EBITDA improvement that can be modelled into the post-acquisition plan.

5. Team Structure and Key Person Dependencies

Technology is built by people, and the quality, structure, and stability of the engineering team is as important as the code they produce. Key-person dependencies are among the most common risks we identify in tech DD, and among the hardest to mitigate after closing.

What to assess: map the engineering team structure and identify key-person dependencies - individuals whose departure would create significant knowledge gaps or slow development. Evaluate development methodologies and velocity metrics (sprint velocity, cycle time, deployment frequency). Assess documentation quality and knowledge management practices. Review quality assurance practices and bug tracking. Examine any offshore or outsourcing arrangements and their associated risks.

Valuation impact: key-person risk is a direct valuation modifier. If one or two engineers hold critical knowledge that is undocumented and unreplicable, the investment carries concentration risk that should be priced. Team velocity metrics reveal whether the engineering function can actually execute the product roadmap at the speed the investment thesis requires. High turnover or a thin bench signals retention risk and potential hiring costs.

6. Intellectual Property and Third-Party Dependencies

A technology asset is only as valuable as the IP the company actually owns. Open-source licensing risks, third-party dependencies, and unclear IP ownership can create legal exposure that surfaces post-acquisition.

What to assess: verify intellectual property ownership for all code, algorithms, and data assets. Review open-source license compliance - copyleft licenses (GPL, AGPL) in the codebase can have significant commercial implications. Map third-party dependencies and licensing risks: how reliant is the product on external services or proprietary APIs? Evaluate vendor contracts for transferability and lock-in.

Valuation impact: IP issues discovered post-acquisition can be catastrophic. Copyleft licence violations may require open-sourcing proprietary code or costly rewrites. Over-reliance on a single third-party vendor creates concentration risk. A clean IP audit, conversely, strengthens the technology asset narrative and supports higher valuations.

7. Data Assets, Privacy, and AI Readiness

Data has become a distinct value driver in technology acquisitions. The quality, structure, and governance of a target’s data assets - and its readiness to leverage AI - can significantly influence both current valuation and future upside potential.

What to assess: evaluate the quality, completeness, and structure of the target’s data assets. Assess GDPR compliance across all data processing activities - particularly for European acquisitions where regulatory exposure is significant. Review data architecture: is data centralised and accessible, or siloed across systems? Evaluate AI and ML integration opportunities: does the target have the data foundation to support AI-driven features or analytics? Assess compliance readiness for the EU AI Act if AI systems are in use or planned.

Valuation impact: well-structured, proprietary data assets can justify valuation premiums, especially in sectors where data creates competitive moats. GDPR non-compliance, on the other hand, introduces regulatory fines of up to 4% of global turnover - a material risk that demands quantification. AI readiness increasingly differentiates premium assets from commodity ones.

8. Product Roadmap and Technology Differentiation

The final area connects technology assessment to strategic value. A target’s product roadmap reveals whether the technology asset has room to grow, differentiate, and generate new revenue streams - or whether it is approaching a ceiling.

What to assess: evaluate product-market fit and technical differentiation - what does the technology do that competitors cannot easily replicate? Assess competitive technology positioning: is the target’s stack modern enough to compete, or is it falling behind? Review innovation velocity and R&D capabilities: how quickly can the team ship new features? Assess the technology moat - proprietary algorithms, unique data, integration ecosystems, or switching costs that protect the business.

Valuation impact: a strong technology moat supports premium multiples. A clear, executable product roadmap that leverages existing architecture signals growth potential. Conversely, a roadmap that requires a platform rewrite to deliver signals hidden capex that must be factored into the model.

Red Flags That Should Trigger Deeper Investigation

Across 50+ tech DD engagements, certain patterns reliably signal elevated risk. When we encounter these, we recommend deeper investigation before proceeding.

No version control or ad-hoc deployment practices - if the target deploys to production manually or lacks Git, the engineering maturity is fundamentally low, and the remediation cost is significant.

Single points of failure in the team - one engineer who built the entire backend and has never documented it. If they leave, the knowledge leaves with them.

No automated testing - every release becomes a roll of the dice. Defect rates will be high, and shipping new features will be slow and risky.

End-of-life technology - frameworks or languages that no longer receive security updates (PHP 7, Java 8 without extended support, Python 2) create security exposure and make hiring difficult.

No disaster recovery plan - if the target cannot answer the question “How long would it take to recover from a complete database loss?” with a tested number, business continuity is at risk.

Unclear IP ownership - code written by contractors without proper IP assignment clauses, or heavy use of copyleft open-source libraries in commercial products.

Cloud costs growing faster than revenue - a sign of inefficient architecture that will compound as the business scales.

From Due Diligence to Value Creation

The best tech DD does not end with a report. It produces a post-acquisition action plan that maps directly to the investment thesis. Every finding should be translated into one of four categories.

Quick wins (first 100 days) - infrastructure cost optimisation, critical security patches, performance improvements with immediate ROI, and process improvements that accelerate development velocity.

Strategic investments (6–12 months) - platform modernisation, compliance certifications (SOC 2, ISO 27001), technical debt reduction, and team structure optimisation.

Revenue enablers - API product development, AI/ML feature development, platform marketplace enablement, and international expansion capabilities.

Exit preparation - technology documentation for the data room, mock DD from a buyer’s perspective, scalability validation, and security posture enhancement.

This is where execution capability matters. Many advisory firms deliver a report and walk away. At Altimi, we can implement our own recommendations - seamlessly transitioning from assessment to value creation. Our track record includes €15M+ in infrastructure cost savings delivered and 15+ exits supported across European portfolio companies.

How Altimi Supports PE Investors

Altimi’s VC/PE services are designed for the pace and rigour that deal teams require. With over 20 years of experience and a team of 250+ specialists, we provide:

Technical Due Diligence (Pre-Acquisition) - comprehensive assessment covering all eight areas in this checklist. Delivered in 2–6 weeks with Green/Yellow/Red risk ratings, financial impact analysis, and a remediation roadmap. Includes executive summary, 40–100 page technical report, risk matrix, and board-ready management presentation.

Post-Acquisition Technology Assessment - 100-day deep dive to validate DD findings, identify quick wins, and create a detailed value creation roadmap aligned with the investment thesis.

Fractional CTO Services - part-time technology leadership for portfolio companies that need strategic direction without full-time executive compensation. Available as 2–4 days per week engagement, with full-time interim options for crisis or transition periods.

Portfolio Company Technology Standardisation - standardising technology practices, tools, and infrastructure across multiple portfolio companies to achieve economies of scale and enable best-practice sharing.

Value Creation Technology Initiatives - execution of specific projects designed to impact revenue growth, cost reduction, or valuation multiple expansion: cloud cost optimisation, compliance certifications, API product development, technical debt reduction, and exit-ready documentation.

Technology Risk Monitoring (Annual Retainer) - ongoing technology oversight with quarterly health checks, automated security scanning, infrastructure cost tracking, and board-ready reporting.

Pre-Exit Technology Readiness - a 90-day programme to maximise technology valuation and streamline buyer DD. Includes documentation and IP preparation, security remediation, code quality improvements, mock due diligence, and a complete technical data room.

Our reporting is investor-focused: we address valuation impact, risk quantification, and remediation costs - not just technical details. We are independent and technology-agnostic, with no vendor partnerships or biases influencing our recommendations.

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Tech DD Checklist - summary

Technology due diligence is not a checkbox on the deal process - it is a core component of investment decision-making. The eight areas in this checklist represent the dimensions along which technology either creates or destroys value. Missing any one of them can lead to post-acquisition surprises that erode returns and derail value creation plans.

The PE firms that consistently achieve strong technology-driven returns are those that treat tech DD with the same rigour as financial and commercial diligence. They quantify risk, model remediation costs, and build technology into the value creation plan from day one.

Whether you are evaluating a new target, onboarding a recent acquisition, or preparing a portfolio company for exit, Altimi’s team is built to support the full lifecycle. We combine deep technical expertise with M&A context, fast turnaround with thoroughness, and assessment capability with execution muscle.

Reach out for a free 30-minute discovery call to discuss your next deal or portfolio challenge.