Product and Architecture Assessment
Evaluation of platform structure, service boundaries, technology choices and alignment with current product requirements and expected growth.
Understand the technology, transaction risks and engineering requirements behind a fintech investment before the deal closes.
Logiciel provides technical due diligence services for investors, private equity firms and companies evaluating fintech acquisitions. From architecture and source-code assessment to security, financial integrations, cloud infrastructure, scalability and engineering-team analysis, we help decision-makers validate technical claims, identify material risks and understand the investment required to support future growth.
A fintech company may demonstrate strong growth and customer demand while carrying technical risks that are not visible in commercial or financial reports.
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 fintech platform and engineering environment.
A review of architecture, source-code quality, maintainability and technical debt.
An evaluation of transaction, ledger, reconciliation and financial-data workflows.
A review of payment, banking, identity and third-party service dependencies.
An assessment of infrastructure, scalability, security and production operations.
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 fintech value, transaction reliability and post-deal execution.
Evaluation of platform structure, service boundaries, technology choices and alignment with current product requirements and expected growth.
Assessment of code organization, maintainability, dependencies, testing practices and technical debt that may affect future delivery.
Review of how financial events, balances, references and statuses are recorded, processed, reconciled and recovered.
Evaluation of integrations with banks, payment processors, identity providers, open-banking platforms and other financial services.
Assessment of cloud architecture, deployment, monitoring, access controls, resilience and capacity for future transaction growth.
Review of technical leadership, specialist coverage, release practices, documentation, outsourced dependencies and key-person risk.
Translation of findings into practical priorities for stabilization, security improvement, architecture modernization and platform scaling.
Focused Technical Risk Review
A targeted assessment examining a specific concern such as transaction reliability, architecture, security or financial-provider dependency.
Standard Fintech Technical Due Diligence
A structured review covering architecture, codebase, financial integrations, infrastructure, security, quality and engineering operations.
Deep Fintech Technical Due Diligence
A broader assessment for complex platforms with multiple products, providers, engineering teams, markets or regulatory considerations.
Assessment of platform architecture, source-code maintainability, dependencies, service boundaries and critical financial business logic.
Evaluation of financial-event processing, transaction states, balance handling, settlement, reconciliation and exception-management workflows.
Review of provider dependencies, authentication, retries, idempotency, error handling, monitoring and operational resilience.
Evaluation of hosting, environments, deployment pipelines, monitoring, reliability, recovery processes and cloud-cost visibility.
Assessment of authentication, authorization, encryption, secrets management, auditability, data ownership and reporting dependencies.
Review of automated testing, failure coverage, CI/CD, rollback practices, team structure, documentation and key-person risk.
Prioritized findings covering material risks, expected remediation effort, immediate stabilization and longer-term modernization.
Patterns from our fintech, architecture, cloud and quality engineering teams that help investors distinguish manageable improvement areas from transaction-critical risks.
Fintech Technology Risk Model
How we classify architecture, transaction, integration, security and delivery findings according to severity, business impact, probability and remediation complexity.
Fintech Investment Thesis Readiness Framework
A practical approach to evaluating whether the product, infrastructure and engineering organization can support expected customer, transaction and market growth.
1. Deal Thesis and Scope Alignment
We identify the investment objectives, growth plan, fintech 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, transaction workflows and product plans and interview relevant leaders.
3. Architecture, Transaction and Integration Assessment
We assess platform structure, code maintainability, financial workflows, data movement, provider dependencies and failure scenarios.
4. Risk Classification and Thesis Evaluation
We categorize findings by severity, business impact and remediation effort and evaluate whether the technology can support the investment objectives.
5. Reporting and Post-Transaction Roadmap
We provide decision-ready findings, an executive review and a prioritized plan for stabilization, security, modernization 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.