Product and Architecture Assessment
Evaluation of platform structure, service boundaries, technology choices and alignment with current requirements, expected growth and the investment thesis.
Understand the technology, engineering risks and scaling requirements behind a SaaS investment before the transaction closes.
Logiciel provides technical due diligence services for investors, private equity firms and companies evaluating technology and SaaS acquisitions. From architecture and codebase assessment to cloud infrastructure, security, scalability, product delivery and engineering-team analysis, we help decision-makers validate technical claims, identify material risks and understand the investment required to support future growth.
A SaaS company may demonstrate strong revenue, customer growth and product demand while carrying technical risks that are not visible in financial reports or product demonstrations.
Each engagement gives investors and acquirers a clear view of the target company’s technology position, material risks and likely post-transaction priorities.
An independent assessment of the SaaS platform and engineering environment.
A review of architecture, source-code quality, maintainability and technical debt.
An evaluation of cloud infrastructure, scalability, reliability and cost visibility.
A review of security, tenant boundaries, access controls and operational practices.
An assessment of product delivery, engineering capacity, documentation and key-person risk.
Prioritized findings based on transaction impact, urgency and expected remediation effort.
An executive summary and detailed technical report supporting investment and post-acquisition planning.
We evaluate the areas most likely to affect SaaS value, enterprise readiness and post-transaction execution.
Evaluation of platform structure, service boundaries, technology choices and alignment with current requirements, expected growth and the investment thesis.
Assessment of code organization, maintainability, dependencies, testing practices and technical debt that may affect future delivery.
Review of tenant isolation, account configuration, shared services, permissions and data-access patterns across customer environments.
Evaluation of hosting architecture, environments, deployment practices, monitoring, resilience and capacity for future product growth.
Review of authentication, authorization, data protection, auditability, tenant boundaries and secure development practices.
Analysis of technical leadership, specialist coverage, release practices, documentation, outsourced dependencies and key-person risk.
Translation of findings into practical priorities for stabilization, cloud improvement, technical-debt reduction and platform scaling.
Focused Technical Risk Review
A targeted assessment examining a specific concern such as architecture, scalability, cloud cost, security or engineering-team dependency.
Standard SaaS Technical Due Diligence
A structured review covering architecture, source code, infrastructure, security, quality engineering, delivery practices and technical organization.
Deep SaaS Technical Due Diligence
A broader assessment for platforms with multiple products, customer environments, acquired systems, engineering teams or complex integrations.
Assessment of platform architecture, source-code maintainability, technical debt, dependencies, service boundaries and critical business logic.
Evaluation of tenant isolation, account configuration, permissions, shared services and customer-specific platform dependencies.
Review of hosting, environments, deployment pipelines, monitoring, reliability, recovery processes and cloud-cost visibility.
Assessment of authentication, authorization, encryption, audit logging, tenant boundaries, data ownership and reporting dependencies.
Evaluation of automated testing, regression coverage, CI/CD pipelines, environment management, rollback practices and release reliability.
Review of leadership, specialist coverage, delivery capacity, outsourced engineering, documentation quality and key-person concentration.
Prioritized findings covering material risks, expected remediation effort, immediate stabilization and longer-term platform modernization.
Patterns from our SaaS, architecture, cloud and quality engineering teams that help investors distinguish normal scaling challenges from transaction-critical risks.
SaaS Technology Risk Model
How we classify architecture, infrastructure, security, delivery and organizational findings according to severity, business impact, urgency and remediation complexity.
SaaS Investment Thesis Readiness Framework
A practical approach to evaluating whether the product, infrastructure and engineering organization can support expected customer, enterprise and market growth.
1. Deal Thesis and Scope Alignment
We identify the investment objectives, expected growth plan, SaaS product model and technical assumptions that need to be validated.
2. Evidence Review and Engineering Interviews
We examine repositories, architecture documents, infrastructure information, security materials, delivery data and product plans and interview relevant leaders.
3. Architecture, Cloud and Engineering Assessment
We review platform structure, code maintainability, multi-tenant design, infrastructure, quality practices and engineering operations.
4. Risk Classification and Thesis Evaluation
We categorize findings by severity, business impact and remediation effort and evaluate 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, transaction workflows, integrations and engineering risks behind a fintech company before completing the transaction.
Technical due diligence services for fintech companies evaluate architecture, code quality, transaction workflows, financial integrations, security, infrastructure and engineering risks before an investment or acquisition.
A review may include architecture, source code, technical debt, payment integrations, data flows, infrastructure, security, testing, DevOps, engineering-team structure and roadmap feasibility.
It helps identify risks that may affect valuation, transaction reliability, regulatory readiness, post-deal spending or the company’s ability to scale.
Yes. Logiciel can assess integration architecture, error handling, retries, dependencies, monitoring and operational risks, subject to the access and documentation available.
Yes. Startup technical due diligence evaluates whether the current technology and engineering foundation are appropriate for the company’s stage and growth plan.
It can include a high-level or targeted review of security practices. A full penetration test, certification or legal compliance opinion may require a separate engagement.
Yes. Logiciel can review code quality, architecture, documentation, ownership and delivery risks associated with external engineering teams.
Logiciel combines transaction-focused assessment with practical fintech engineering experience across architecture, application development, integrations, cloud infrastructure, QA and modernization.