Technical Due Diligence for AI/ML Investments
Independent technical assessment and validation for VCs and PE firms investing in AI companies
Services
Technical Due Diligence
Comprehensive review of ML architecture, codebase quality, infrastructure costs, and technical debt. Includes team assessment and scalability analysis.
Flat fee • $7–10k
Technical Advisory
Ongoing technical guidance for portfolio companies. Monthly check-ins, architecture reviews, and hiring support.
Monthly retainer • $3–5k
Quick Technical Screen
High-level technical assessment to identify major red flags or validate core technical claims before deeper diligence.
Fixed fee • $1–2k
Engagement Process
Initial Call
Understand investment context and key technical concerns
Technical Review
Code review, architecture assessment, and team interviews
Analysis
Risk assessment, competitive benchmarking, and scalability projections
Deliverable
Detailed report with findings, risks, and recommendations
Technical Expertise
Deep experience building and scaling ML systems in production, from recommendation engines processing billions of events to computer vision systems deployed at scale.
ML Infrastructure
Production ML pipelines, model serving, A/B testing frameworks, and cost optimization for large-scale deployments.
System Architecture
Distributed systems, real-time processing, data pipelines, and infrastructure scalability assessment.
Technical Risk Assessment
Code quality, technical debt, team capabilities, competitive moats, and build vs. buy decisions.
Performance & Scalability
Benchmarking, load testing, cost modeling, and infrastructure planning for growth scenarios.
Let's Discuss Your Due Diligence Needs
Schedule a confidential consultation to explore how I can support your investment decisions
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