
We combine financial analysis with technical code review and operational stress testing. Our engineering team examines architecture, security practices, and technical debt alongside business metrics. We validate unit economics through customer interviews and reference checks, not just spreadsheets.
Market assessment includes regulatory mapping and government procurement readiness specific to MENA. This integrated approach surfaces risks that pure financial due diligence misses, giving you a complete decision picture within defined timelines.

For pre-vetted opportunities with clean data rooms, we complete due diligence in 4-6 weeks. Complex technical stacks or regulatory compliance gaps extend this to 8-10 weeks. We work in parallel streams—technical, financial, market, and legal—to maintain momentum. You'll receive weekly progress updates and preliminary findings throughout.
We don't drag diligence indefinitely. If we identify deal-breaking issues early, we communicate immediately rather than stringing founders along for months.

We assess code quality, test coverage, security vulnerabilities, and architectural scalability. Our review includes dependency management, deployment practices, monitoring infrastructure, and disaster recovery capabilities. For AI products, we evaluate model performance, training data quality, and inference costs.
We also examine API design, database schema, and integration complexity. The output is a technical risk assessment with specific remediation requirements and estimated engineering effort to reach production-grade standards.

We analyze cohort retention, customer acquisition costs, lifetime value, and gross margins across your customer base. We conduct reference calls with your top clients to validate satisfaction and expansion potential. For enterprise deals, we review contract terms, payment cycles, and renewal rates.
We model your burn rate against revenue milestones to assess runway adequacy. This isn't just accepting your metrics—we reconstruct economics from source data to verify they're defensible and scalable.

We review cap table structure, shareholder agreements, and any existing investor rights or restrictions. Compliance with UAE and MENA regulations gets particular scrutiny—data residency, licensing requirements, and sector-specific rules. We verify IP ownership, employment contracts, and any outstanding litigation or disputes.
We also assess board composition and decision-making authority. Issues here can block deals entirely, so we surface them early with clear paths to resolution before term sheet discussions.

Yes, we provide written decision memos outlining specific concerns and gaps we identified. This includes technical debt priorities, market positioning issues, or governance problems that influenced our decision. We believe transparent feedback helps strengthen the ecosystem even when we don't invest.
In cases where timing is the issue rather than fundamental problems, we stay connected and revisit when milestones are achieved. Our goal is building long-term relationships, not transactional rejections.

All sensitive data remains in secure virtual data rooms with access logging and permissions management. Our team signs NDAs before accessing any confidential information. We use separate technical reviewers for competing portfolio companies to prevent information leakage.
Post-diligence, we delete all proprietary materials if the deal doesn't proceed. Our reputation depends on maintaining strict confidentiality—we've never had an information breach and maintain ISO 27001 protocols throughout the process.

We can compress diligence to 2-3 weeks for exceptional situations, but this requires complete transparency and founder availability. You'll need a comprehensive data room ready, key stakeholders available for interviews, and willingness to address issues in real-time.
We prioritize critical risk areas and accept deeper dives post-investment on secondary concerns. Accelerated diligence works best when you've already completed your own internal audit and can preemptively answer our standard question set with supporting documentation.


