Technical due diligence that tells you what you are actually buying.
Before you invest, acquire or sign off on a platform, know what sits behind the demo. We review the agreed code, architecture, security posture and delivery process, then hand over a written report that ranks the risks and explains what fixing them involves.
DIRECT ANSWER
Technical due diligence is an independent review of the software behind a company or product before an investment, acquisition or board decision. It ends in a written risk report with severity, evidence and remediation options, not in legal or financial advice.
Best for
- Investors, acquirers and boards who need an outside view of a software asset before a decision
- Founders who want their own platform reviewed before investors ask the questions
Consider another approach
- Legal, tax or financial due diligence, or a statement on valuation
- Taking over and running the code after a provider change
Start with the decision the report has to support
What the review covers
Code and architecture
Structure, test coverage and quality, documentation, key-person dependencies and how hard the system is to change.
Security posture
Access to code and infrastructure, secret handling, dependency vulnerabilities and obvious exposure. This is a review, not a penetration test.
Delivery process and team
How changes reach production, release and rollback practice, incident history and who holds the knowledge.
Scalability, operations and cost
Hosting setup, monitoring, recovery readiness and the infrastructure and third-party costs behind the product.
AI-specific evidence
For AI products, evaluation design, model and prompt records, provider concentration, failure handling and task-level cost. Our [AI MVP due diligence checklist](/blog/technical-due-diligence-ai-mvp/) lists the evidence we look for.
Dependencies and tech debt
Outdated frameworks, unsupported components and the debt that will slow the roadmap, with a rough sense of what each item costs to address.
A report that ranks risk instead of listing everything
How a due diligence runs
Scoping and access
Agree the decision, systems, recipients and confidentiality. Receive read access to repositories, the data room and relevant documentation.Review and interviews
Inspect the code and infrastructure, and talk to the people who build and run the system. Open questions go to management in writing.Report and readout
Receive the written report and walk through it with your team. Factual corrections from the company under review are handled as agreed up front.
After the report, choose the right next step
Preparing your own company for diligence
Assessment work in existing engagements
None of these cases is a formal investor or M&A due diligence. Cedars documents a technical assessment with architecture and requirements records, targeted source review, a scoped AI review and prioritized actions with recheck criteria. Polity documents traceable analysis that identified and prioritized remediation across seven services. Soundromeda documents risk triage and hardening of a prototype before grant committees reviewed the build. They show the review method, not a diligence outcome.
Documentation structures, targeted source checks and scoped AI assessment gave Cedars a prioritized basis for technical decisions.
1.5 years owning QA across seven services and multiple vendors. Quality stayed shippable through every refactor.
QA-led hardening took a vibe-coded game prototype to a state grant committees backed.
These are selected projects, not our full portfolio. We have shipped 100+ products since 2018.
Questions before you start
Scope a technical due diligence
Describe the decision, the company or system under review and your timeline. A short, non-confidential outline is enough for the first conversation; we sign an NDA before any data room or repository access.