Who this is for
Investors and acquirers validating a target prior to term sheets or closing
Founders preparing for fundraising or a strategic exit
Product and engineering leaders seeking an objective view of risk and scalability
Boards that need a clear line of sight on technology health and value creation
Scope options
Buy-side due diligence
Buy-side due diligence
for investors and acquirers
Sell-side readiness
Sell-side readiness
to prepare teams and materials before a process
Internal health check
Internal health check
to inform scaling or transformation
What's included:
A deep dive for full visibility
What we evaluate
- Architecture and scalability
- Code quality and technical debt
- Infrastructure, CI/CD, and cloud readiness
- Security, privacy, and compliance
- Data architecture, governance, and quality
- Team skills, ways of working, and delivery process
- Vendor and third-party risk
- Cost to serve and operational resilience
- Alignment with business model and growth strategy
Activities
- Kickoff, scope alignment, and success criteria
- Evidence intake and documentation review
- Stakeholder and team interviews
- Codebase sampling and static analysis
- Architecture and scalability assessment
- Infrastructure and DevOps review
- Security and compliance checks
- Data model and quality review
- Process observation and delivery metrics analysis
- Synthesis, validation, and prioritization
Deliverables
- Investment risk map with severity and likelihood
- Detailed findings across technical domains
- Red flags that require immediate attention
- Costed mitigation plan and effort estimates
- 30, 60, and 90 day roadmap
- Executive summary for boards and investors
What we evaluate
- Architecture and scalability
- Code quality and technical debt
- Infrastructure, CI/CD, and cloud readiness
- Security, privacy, and compliance
- Data architecture, governance, and quality
- Team skills, ways of working, and delivery process
- Vendor and third-party risk
- Cost to serve and operational resilience
- Alignment with business model and growth strategy
Activities
- Kickoff, scope alignment, and success criteria
- Evidence intake and documentation review
- Stakeholder and team interviews
- Codebase sampling and static analysis
- Architecture and scalability assessment
- Infrastructure and DevOps review
- Security and compliance checks
- Data model and quality review
- Process observation and delivery metrics analysis
- Synthesis, validation, and prioritization
Deliverables
- Investment risk map with severity and likelihood
- Detailed findings across technical domains
- Red flags that require immediate attention
- Costed mitigation plan and effort estimates
- 30, 60, and 90 day roadmap
- Executive summary for boards and investors
Results that speak
Great experience working with Vince and his team!
Vince is highly skilled and committed to the work which was not at all trivial. We are more then satisfied from the final outcome. KUDOS
Great working with the Dot Square Lab team. Clear communication, responds to messages, adds insightful feedback, and is open to feedback. Systems and timelines track progress and issues that arise. Readily available for discussions.
Vince and Michael helped us take the lead in chemical process simulation functionality. Our tool DWSIM Pro is the first and still unrivalled in creating converging process flow diagrams (PFDs) without any human interaction after the initialization.
DSL helped us to formulate our AI strategy and build a roadmap to capitalize on the rapidly changing technological landscape. They are always up to date with the latest innovation and know how to apply emerging technologies to solve real-world business challenges.
I had the pleasure of working with Vince, and he was a highly intelligent and motivated member of the team. Vince excels at tackling hard problems - he has exceptional programming and systems engineering skills, and can implement ML Ops / LLM Ops solutions end-to-end. He has been an invaluable part of the team. I highly recommend him.