Technical Due Diligence,
Powered by AI
Comprehensive Tech Assessment
Our platform combines AI agents with knowledge graphs to provide deep insights into technical organizations.
AI-Powered Analysis
Advanced LLMs and specialized agents analyze your codebase, architecture, and development processes automatically.
Knowledge Graphs
Create a framework for comparison between companies with structured knowledge graphs that learn with each audit.
Risk Assessment
Identify technical debt, security vulnerabilities, and organizational risks before they become critical issues.
Digital Twin
Build a comprehensive digital twin of engineering organizations that improves with each company audited.
Automated Audits
Streamline the due diligence process with automated data collection and analysis across multiple dimensions.
System Thinking
Leverage information theory and system thinking to understand complex organizational dynamics and feedback loops.
Our Methodology
A systematic, AI-powered approach that goes beyond traditional checklists
200+ Assignments MappedMulti-layer knowledge graph connecting companies → signals → patterns → structures → insights → AI agents. Hover to explore relationships.
- •Data room document analysis and extraction
- •Interview transcripts processing and pattern recognition
- •Code repository scans and quality metrics
- •Security vulnerability assessments
- •All processing through zero-retention endpoints for maximum data privacy
- •Advanced LLM analysis across all extracted signals
- •Cross-reference findings from code, documents, and conversations
- •Identify correlations and anomalies
- •Filter signal from noise using 200+ prior assessments as context
- •Knowledge graph built from 200+ previous assignments
- •Map findings to technical debt ontology
- •Understand causal relationships and feedback loops
- •Identify root causes vs. symptoms
- •Build digital twin of the engineering organization
- •Stage-appropriate evaluation (Seed, Series A, B, etc.)
- •Industry-specific benchmarking and best practices
- •Technical debt impact on growth capacity
- •Team scalability and organizational readiness
- •Architecture evolution potential
- •Executive summary with key findings
- •Detailed technical assessment across all dimensions
- •Risk scoring and prioritization
- •Specific, actionable recommendations
- •Comparative analysis against industry benchmarks
- •AI agents monitor progress on recommendations
- •Track remediation efforts over time
- •Adaptive recommendations based on progress
- •Continuous learning and knowledge graph updates
- •Long-term partnership vs. one-shot assessment
Zero Retention
All data processing uses zero-retention endpoints, ensuring maximum privacy and security for your sensitive information.
Continuous Learning
Our knowledge graph improves with each assessment, building a comprehensive understanding across 200+ companies.
Ongoing Partnership
Unlike one-time assessments, our AI agents provide continuous monitoring and adaptive recommendations.
About Us
Built by experts, for experts
Johann Romefort
Founder & Technology Advisor
Johann Romefort is a veteran technology advisor with nearly 25 years of experience in the tech industry. He has conducted over 200 technical due diligence assessments for VCs and PEs in the last five years, making him one of the most experienced practitioners in the field.
As co-founder and former CTO of Seesmic (acquired by Hootsuite), Johann built and managed remote teams of 30+ developers across multiple continents. He later served as CTO-in-Residence and Managing Director at Techstars, where he mentored countless startups and deepened his understanding of the challenges facing technical organizations.
Johann is the author of "A Guide to Surviving Tech Due Diligence" and has discovered through his extensive work that most tech teams operate in reactive mode, experiencing cognitive overload as complexity grows. This insight led him to found Subsystems, combining AI-powered analysis with knowledge graphs to help organizations maintain system balance and make better technical decisions.
The Problem
Most tech teams operate in reactive mode and experience cognitive overload as complexity grows. It's difficult to maintain system balance when you can't see the full picture.
Our Solution
We combine AI-powered analysis with knowledge graphs to create a comprehensive view of technical organizations, enabling data-driven decisions and proactive risk management.
Beyond Traditional Due Diligence
While others rely on checklists and manual reviews, we provide formalism through knowledge graphs that create a framework for comparison. Our system learns with each company audited, building toward a true digital twin of engineering organizations.
Get in Touch
Ready to transform your tech due diligence process? Let's talk.