This is built for moments where “we’ll fix it later” is not an option:
01.
Price the risk, validate the thesis.
02.
Prepare for investor diligence without surprises.
03.
Confirm the platform can survive 3–10× growth without a rebuild.
Investor-facing due diligence commonly covers architecture limits, technical debt, security/compliance readiness, integrations, and OSS/IP risk.
You don't need "code quality could be better." You need decision-grade answers.
What's a deal-breaker vs fixable
Time/effort ranges per major finding (the part most reports avoid)
What breaks at higher load and why
Key gaps that could become post-close incidents
"First 30/60/100 days" prioritized by impact
High-quality TDD is quantified, evidence-based, and prioritized not vague.
We don’t treat APIs as implementation details.
We treat them as long-lived system contracts that must stay stable while everything around them changes.
Our delivery approach is designed to reduce integration risk, prevent data corruption, and make APIs safe to evolve as traffic, partners, and use cases grow.
We identify the real growth ceiling and what breaks first.
Output
Architecture risk map + growth ceiling estimate + prioritized modernization plan.
We expose the debt that will slow delivery post-close.
Output
Code quality scorecard + critical issues list + concrete refactoring plan.
We surface vulnerabilities and compliance blockers before they become deal issues.
Output
Severity-rated security report + remediation roadmap.
We evaluate whether the system can be operated safely under pressure.
Output
Reliability maturity report + safer release plan + uptime improvements.
We confirm whether the data can be trusted and used for analytics or AI.
Output
Data readiness assessment + plan to make data reliable and AI-ready.
We quantify capacity and isolate bottlenecks with real measurements.
Output
Performance results + capacity estimate + prioritized tuning plan.
We validate whether the platform can support enterprise, tiers, and expansion.
Output
Platform readiness report + what must change to scale monetization.
We assess execution risk: can this team ship safely and consistently?
Output
Delivery maturity report + hiring/process recommendations.
We separate hype from feasible, high-ROI AI leverage.
Output
AI readiness scorecard + prioritized AI opportunities list.
We use a mixed approach based on your needs and provide exactly what you need.
Dependency/vuln scans, code metrics, test coverage indicators
Architecture walkthroughs, deployment/incident review, ownership mapping
Findings must have evidence (logs, configs, tool outputs, repo references)
We keep this tight. Typical request lists include:
Repo access + dependency manifests
Architecture/API/deployment docs (even if incomplete)
CI/CD configs + environments overview
Incident history / postmortems (last 6–12 months)
Cloud footprint + monitoring overview
OSS inventory if available (or we generate one)
We scope your deal timeline and access reality.
Red-Flag Sprint (1–2 weeks)
Output: red flags + risk heatmap + top 5 deal risks
Full Sprint (2–3+ weeks)
Output: full report + cost-to-fix ranges + 30/60/100-day remediation plan
A great UI can hide a failing architecture. We look under the hood so you don't buy a lemon.
| Feature | Standard "Checklist" Audit | Genesys Deep-Dive Audit |
|---|---|---|
| Code Review | Automated static scans only. | Manual forensic analysis of logic, security, and scalability. |
| Tech Debt | Reported as a general "score." | Line-item valuation of what it will cost to fix post-acquisition. |
| Infrastructure | Cloud bill review. | Architecture stress-testing for 10x user load capacity. |
| IP Security | Basic license check. | Comprehensive scan for open-source "copyleft" legal risks. |
| Team Analysis | Org chart review. | Workforce velocity audit and key-person dependency assessment. |
| Deliverable | 5-page data summary. | Strategic "Buy/No-Buy" Report with a 100-day roadmap. |
Answers to the most common pre-engagement questions.
We can deliver a red-flag audit in 5–10 business days (≈ 1–2 weeks) once we have codebase + production access. Full technical diligence typically takes 2–3+ weeks, depending on system size, environment complexity, and how quickly access/logs/docs are provided.