Product and Architecture Assessment
Evaluation of product structure, service boundaries, technology choices, platform maturity and alignment with current and future business requirements.
Understand the technology, engineering risks and modernization needs behind an investment before the transaction closes.
Logiciel provides technical due diligence services for investors, private equity firms and companies evaluating software acquisitions. From architecture and codebase assessment to security, infrastructure, scalability, product delivery and engineering-team analysis, we help decision-makers identify material risks, validate technical claims and understand the investment required to support future growth.
A software company may show strong revenue, customer growth and market potential while carrying technical risks that are not visible in financial or commercial reports.
Each engagement gives investment and acquisition teams a clear view of the target company’s technology position, material risks and likely post-transaction priorities.
An independent assessment of the software platform and engineering environment.
A review of architecture, source code, technical debt and product maintainability.
An evaluation of infrastructure, scalability, performance and cloud operations.
A review of security, access controls, development practices and operational resilience.
An assessment of engineering-team structure, delivery capacity, documentation and key-person risk.
Prioritized findings based on transaction impact, severity and expected remediation effort.
An executive summary and detailed technical report supporting investment and post-transaction planning.
We evaluate the technology areas most likely to affect software value, scalability and the ability to execute the investment thesis.
Evaluation of product structure, service boundaries, technology choices, platform maturity and alignment with current and future business requirements.
Assessment of code organization, maintainability, dependencies, testing practices, duplicated logic and areas likely to affect delivery speed.
Review of hosting architecture, cloud environments, deployment practices, monitoring, resilience and capacity for future growth.
Evaluation of authentication, authorization, data protection, auditability, dependency controls and secure development practices.
Analysis of whether architecture, engineering capacity and delivery processes can support the stated product roadmap and commercial plan.
Assessment of team structure, leadership, specialist coverage, hiring dependencies, documentation quality and key-person concentration.
Translation of findings into practical stabilization, modernization, integration and product-scaling priorities.
Focused Technical Risk Review
A targeted engagement examining a defined concern such as architecture, scalability, security, product delivery or engineering-team dependency.
Standard Technical Due Diligence
A structured review covering architecture, source code, infrastructure, security, quality engineering, delivery practices and technical organization.
Deep Technical Due Diligence
A broader assessment for complex platforms with multiple products, systems, teams, markets, vendors or regulatory considerations.
Assessment of platform architecture, code maintainability, technical debt, dependencies, service boundaries and critical business logic.
Review of hosting, environments, deployment pipelines, monitoring, scalability, recovery processes and cloud-cost visibility.
Evaluation of authentication, authorization, encryption, audit logging, secrets management and dependency controls based on available evidence.
Review of data models, ownership, pipelines, storage, reporting dependencies, external services and third-party integration risks.
Evaluation of automated testing, regression coverage, CI/CD pipelines, release processes, rollback practices and production-quality controls.
Review of leadership, specialist coverage, delivery capacity, outsourced dependencies, documentation quality and key-person risk.
Prioritized findings covering immediate risks, remediation effort, post-transaction stabilization and longer-term product modernization.
Patterns from our architecture, product, cloud and quality engineering teams that help investors distinguish manageable improvement areas from transaction-critical risks.
Transaction-Focused Technology Risk Model
How we classify technical findings according to severity, business impact, probability, urgency and expected remediation complexity.
Investment Thesis Technology Readiness Framework
A practical approach to evaluating whether the product, infrastructure and engineering organization can support expected growth, integration or modernization.
1. Deal Thesis and Scope Alignment
We identify the investment objectives, expected growth plan, product characteristics and technical assumptions that need to be validated.
2. Evidence Review and Engineering Interviews
We examine repositories, architecture documents, infrastructure information, security materials, delivery metrics and product plans and interview relevant leaders.
3. Architecture, Code and Operational Assessment
We review platform structure, code maintainability, dependencies, data, infrastructure, quality practices and production operations.
4. Risk Classification and Thesis Evaluation
We categorize findings by severity, business impact and remediation effort and assess whether the technology can support the transaction objectives.
5. Reporting and Post-Transaction Roadmap
We provide decision-ready findings, an executive review and a prioritized plan for stabilization, modernization, integration and future scaling.
Evaluate the architecture, codebase, infrastructure and engineering risks behind a software business before completing the transaction.
Technical due diligence services evaluate a company’s software architecture, codebase, infrastructure, security, engineering practices, scalability and technical risks before an investment or acquisition.
A review may include architecture, source code, technical debt, infrastructure, security, data, testing, DevOps, engineering-team structure, documentation and product-roadmap feasibility.
It helps investors identify risks that may affect valuation, growth, post-transaction spending, integration planning or the company’s ability to deliver its roadmap.
The timeline depends on the product’s complexity, the scope of the review and the availability of technical information and team members.
Yes. Startup technical due diligence focuses on whether the product and engineering foundation are appropriate for the company’s current stage and future growth requirements.
A technical due diligence consultant independently reviews the technology, validates management claims, identifies material risks and explains their possible impact on the transaction.
It can include a high-level or targeted review of security practices and controls. A full penetration test, certification or legal compliance opinion may require a separate specialist engagement.
Yes. Logiciel can assess code quality, documentation, ownership, architecture and delivery risks associated with outsourced engineering or external vendors.
The report typically includes an executive summary, technical findings, risk classification, strengths, remediation priorities and recommendations for post-transaction action.
Logiciel combines transaction-focused assessment with practical product engineering experience across architecture, software development, cloud infrastructure, QA and modernization.