Technical Due Diligence: What Investors Look For in Your Tech

Why Technical Due Diligence Can Make or Break Your Round

You have nailed the pitch. The partners are excited about your market, your traction, and your team. Then they send in a technical advisor to evaluate your technology, and suddenly the deal is at risk. This scenario plays out more often than founders expect.

Technical due diligence (TDD) has become a standard part of Series A and later funding rounds, and increasingly common even at the seed stage for deep-tech or platform startups. Investors want to know that the technology behind your product is sound, that your team can execute, and that there are no hidden time bombs in your codebase that will derail growth.

The good news is that TDD is not a gotcha exercise. Evaluators understand that startup code is not perfect. What they are looking for is evidence that your team makes good decisions, understands their tradeoffs, and can scale the technology alongside the business. Here is exactly what they evaluate and how to prepare.

What Evaluators Actually Assess

Technical due diligence typically covers six areas. Understanding each one lets you prepare proactively rather than scrambling when the request comes in.

1. Architecture and System Design

Evaluators will ask for an architecture diagram and walk through how your system works end to end. They are looking for:

• Clarity of design. Can your CTO explain the architecture clearly, including why key decisions were made? A team that understands its own system deeply inspires confidence.
• Appropriate complexity. Is the architecture as simple as it can be for your current scale, or have you over-engineered it? Microservices at 1,000 users is a red flag, not a badge of honor.
• Scalability path. You do not need to be scaled already, but you need a credible plan. Where are the bottlenecks? What changes when you go from 10,000 to 1,000,000 users? Have you thought about this, or will it be a surprise?
• Data architecture. How is data modeled, stored, and accessed? Are there clear data ownership boundaries? Is sensitive data encrypted and access-controlled?

How to prepare: Create a clear architecture diagram that shows major components, data flows, and external dependencies. Write a one-page document explaining the top three architectural decisions you made and why. Be honest about known limitations and your plan to address them.

2. Code Quality and Engineering Practices

Evaluators will typically review a sample of your codebase - often focusing on the most critical paths. They assess:

• Code organization. Is the codebase well-structured with clear separation of concerns? Can a new engineer navigate it without a guided tour?
• Testing. What is your testing strategy? They are not looking for 100% coverage - they want to see that critical business logic and integration points have meaningful test coverage.
• Code review process. Do pull requests get reviewed before merging? Are reviews substantive, or just rubber stamps?
• Documentation. Are complex systems documented? Do ADRs exist for major decisions? Is there a README that actually helps new developers get started?

How to prepare: Run a self-audit. Pick your three most critical code paths and review them with fresh eyes. Are there obvious code smells, hardcoded credentials, or commented-out blocks of dead code? Fix the easy things. For the harder issues, document them as known technical debt with a remediation plan.

3. Security Posture

Security has become a top-tier concern in due diligence. Evaluators check:

• Authentication and authorization. How do users authenticate? Is there role-based access control? Have you had a security review of your auth system?
• Data protection. Is sensitive data encrypted at rest and in transit? How do you handle PII? Do you comply with GDPR, SOC 2, or other relevant frameworks?
• Dependency management. Are your dependencies up to date? Do you have a process for patching known vulnerabilities? Tools like Dependabot, Snyk, or Renovate demonstrate proactive security hygiene.
• Infrastructure security. Are cloud resources configured with least-privilege access? Are secrets managed properly (not hardcoded in source code)?
• Incident response. Do you have a plan for when (not if) a security incident occurs?

How to prepare: Run a dependency audit and fix critical vulnerabilities. Ensure no secrets are committed to your repository (use tools like git-secrets or truffleHog to scan your history). If you handle sensitive data, document your data protection practices. Even a simple security policy document shows investors that you take security seriously.

4. Team and Organizational Assessment

The technical team is often the most scrutinized aspect of due diligence. Evaluators look at:

• Technical leadership. Does the CTO or VP of Engineering have the experience to scale the technology to the next stage? Can they articulate a clear technical vision?
• Team composition. Is the team appropriately skilled for the product you are building? Are there critical skill gaps? Is there key-person risk where one departure would cripple the team?
• Engineering culture. How does the team make decisions? How do they handle disagreements? Is there a culture of learning and improvement?
• Hiring pipeline. Can you attract and retain the talent you need for the next stage of growth?

How to prepare: Be honest about your team's strengths and gaps. Having a plan to hire for gaps is better than pretending they do not exist. Prepare your technical leaders for deep conversations about their decision-making process and technical vision.

5. Operational Maturity

How well you run your systems in production tells evaluators a lot about your team's discipline:

• Deployment process. How often do you deploy? Is it automated? How long does a deployment take? Can you roll back quickly?
• Monitoring and alerting. Do you know when something breaks before your users tell you? What monitoring tools are in place?
• Incident management. How do you handle outages? Do you conduct post-mortems? Is there an on-call rotation?
• Uptime track record. What is your historical uptime? Have there been major outages, and how were they resolved?

How to prepare: If you do not have monitoring in place, set it up before due diligence begins. Create a simple incident response playbook. Document your deployment process. Having an SLA, even an internal one, demonstrates operational maturity.

6. Intellectual Property and Licensing

Evaluators check that you actually own your technology:

• IP ownership. Do all employees and contractors have signed IP assignment agreements? Were any components built before the company was incorporated?
• Open source compliance. Are you using open-source libraries with licenses compatible with your business model? Are you complying with the terms of those licenses (especially copyleft licenses like GPL)?
• Third-party dependencies. Are you dangerously dependent on any third-party service that could change terms, raise prices, or shut down?

How to prepare: Audit your open-source dependencies for license compatibility. Ensure all contributors have signed IP assignment agreements. Create a dependency risk assessment for your most critical third-party services.

The Due Diligence Preparation Checklist

Start preparing at least two months before you expect due diligence to begin:

• Create and update architecture diagrams
• Write or update ADRs for major technical decisions
• Run a dependency audit and fix critical vulnerabilities
• Scan repository history for committed secrets
• Document your testing strategy and current coverage metrics
• Set up monitoring and alerting if not already in place
• Prepare a technical roadmap for the next 12-18 months
• Ensure all IP assignment agreements are signed
• Audit open-source license compliance
• Document known technical debt with severity and remediation plans
• Prepare your CTO/technical leads for deep-dive conversations
• Create a one-page security practices overview

Red Flags That Kill Deals

These are the findings that most commonly cause investors to walk away or significantly reduce valuations:

• No version control or code review process. This signals fundamental engineering immaturity.
• Secrets in the codebase. API keys, passwords, or credentials committed to the repository are a serious security concern and indicate poor practices.
• Single point of failure (human). If one engineer leaving would cripple the product, that is unacceptable risk for an investor.
• No automated testing of any kind. Some testing gaps are understandable, but zero tests suggests the team does not value quality.
• Misrepresentation. Claiming capabilities that do not exist or hiding known problems is the fastest way to kill a deal permanently. Evaluators will find the truth.

Turning Due Diligence Into an Advantage

The best founders view due diligence not as a hurdle but as an opportunity. A clean, well-prepared technical evaluation builds investor confidence and can actually increase your valuation. It demonstrates that your team is mature, thoughtful, and capable of executing at scale.

At InfoDive Labs, we help startups prepare for technical due diligence through comprehensive technology audits, codebase reviews, and architecture assessments. We identify issues before investors do and help your team build a remediation plan that strengthens both your technology and your fundraising position. Whether your round is six months away or six weeks away, we can help you put your best technical foot forward.