AI-powered technical due diligence, in hours not weeks.
Automated Data Collection and Analysis: Eliminate manual research. Get the full picture in minutes.
Automated Data Aggregation
Instantly pulls structured and unstructured data from code repositories, documentation, customer feedback, and public sources.
Context-Aware Analysis
Uses AI to detect patterns, surface red flags, and identify missing or inconsistent information across technical and non-technical sources.
Document & IP Review
Natural Language Processing scans and summarizes key points from technical docs, contracts, and IP agreements — reducing legal and operational blind spots.
Code Quality and Security Evaluation: Surface technical risk before it becomes financial risk.
Automated Code Review
AI scans the entire codebase to assess:
- Code health and maintainability
- Redundant or duplicated code
- Scalability bottlenecks and tech debt
Security & Compliance Checks
Detects vulnerabilities (e.g., SQL injection, XSS) and flags gaps in security practices, mapped to industry frameworks like OWASP and ISO 27001.
Benchmarks & Remediation
Benchmarks code quality and security posture against thousands of other projects — with clear remediation suggestions.
Scalability and Performance Analysis: Assess whether the technology is built to scale — efficiently & sustainably.
Architectural Scalability
Analyzes system design, modularity, and infrastructure to determine if the product can scale with increasing users, features, and complexity.
Adaptability to New Markets
Evaluates the flexibility of the platform to support new geographies, integrations, customer segments, or regulatory requirements.
Performance Readiness
Reviews existing performance metrics (latency, uptime, resource usage) and flags potential bottlenecks as usage grows.
Forward-Looking Analysis
Uses system data and engineering practices to forecast how easily the product can evolve and what future scaling might cost.
IP and Licensing Compliance: Ensure the tech you're investing in is owned, protected, & clean.
Automated IP Assessment
Reviews patents, trademarks, and proprietary software to verify ownership, flag potential infringement risks, and evaluate the uniqueness and defensibility of core IP.
Open Source & License Compliance
Scans codebases for open-source components and third-party libraries, checking for compliance with licensing terms (e.g., GPL, MIT, Apache) to avoid legal exposure.
Risk Mitigation at the Source
Flags missing or unclear attribution, improper reuse of external code, and other red flags that could affect deal value or create post-acquisition liability.
Regulatory and Standards Compliance: Verify true adherence to regulations and industry standards, beyond self-reporting.
Regulation Compliance Checks
By analyzing code, documentation, and operational practices, AI verifies adherence to regulations such as: GDPR, PCI DSS, DORA etc.
Industry Standards Verification
AI reviews your technical infrastructure and documentation to confirm alignment with standards like: ISO 27001, ISO 9001, etc.
Continuous, Real-Time Audits
AI-driven audits analyze the actual implementation of regulations and standards, not just self-reported claims, ensuring that compliance is actively maintained.
Tailored insights for those shaping tech investments and growth.
Investors & VCs
Faster deal cycles, reduced technical risk, better valuation accuracy.
Corporate M&A
Smarter deal terms, lower post-acquisition surprises, informed integration planning.
CXOs & Advisors
External validation, prioritization of technical debt, and roadmap confidence.
Founders & Startups
Increased credibility with investors, better positioning, and tech clarity.